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Leo Strijbosch

Personal Details

First Name:Leo
Middle Name:
Last Name:Strijbosch
Suffix:
RePEc Short-ID:pst260

Affiliation

CentER Graduate School for Economics and Business
School of Economics and Management
Universiteit van Tilburg

Tilburg, Netherlands
https://www.tilburguniversity.edu/research/economics-and-management/graduate-school
RePEc:edi:cekubnl (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Janssen, E. & Strijbosch, L.W.G. & Brekelmans, R.C.M., 2007. "How to Determine the Order-up-to Level When Demand is Gamma Distributed with Unknown Parameters," Discussion Paper 2007-71, Tilburg University, Center for Economic Research.
  2. Stewart, T. & Strijbosch, L.W.G. & Moors, J.J.A. & van Batenburg, P., 2007. "A Simple Approximation to the Convolution of Gamma Distributions (Revision of DP 2006-27)," Discussion Paper 2007-70, Tilburg University, Center for Economic Research.
  3. Strijbosch, L.W.G. & Heuts, R.M.J. & Moors, J.J.A., 2006. "Hierarchical Estimation as Basis for Hierarchical Forecasting," Discussion Paper 2006-86, Tilburg University, Center for Economic Research.
  4. Janssen, E. & Strijbosch, L.W.G. & Brekelmans, R.C.M., 2006. "Assessing the Effects of using Demand Parameters Estimates in Inventory Control," Discussion Paper 2006-90, Tilburg University, Center for Economic Research.
  5. Strijbosch, L.W.G. & Moors, J.J.A., 2003. "Modified Normal Demand Distributions in (R,S)-Inventory Models," Discussion Paper 2003-76, Tilburg University, Center for Economic Research.
  6. Ashayeri, J. & Heuts, R.M.J. & Strijbosch, L.W.G. & Lansdaal, H.G.L., 2003. "Production Planning and Inventory Control in the Pre-deco Industry," Discussion Paper 2003-92, Tilburg University, Center for Economic Research.
  7. Moors, J.J.A. & Strijbosch, L.W.G. & van Groenendaal, W.J.H. & Schuld, M.H. & Mathijssen, A.C.A., 2003. "An Experimental Comparison of Four Methods for Assessing Judgemental Distributions," Discussion Paper 2003-31, Tilburg University, Center for Economic Research.
  8. Strijbosch, L.W.G. & Moors, J.J.A., 2002. "Simulating an (R,s,S) Inventory System," Discussion Paper 2002-94, Tilburg University, Center for Economic Research.
  9. Moors, J.J.A. & Strijbosch, L.W.G. & van Groenendaal, W.J.H., 2002. "Estimating Mean and Variance Through Quantiles : An Experimental Comparison of Different Methods," Discussion Paper 2002-67, Tilburg University, Center for Economic Research.
  10. Moors, J.J.A. & Strijbosch, L.W.G., 2002. "Two-Step Sequential Sampling for Gamma Distributions," Discussion Paper 2002-78, Tilburg University, Center for Economic Research.
  11. Moors, J.J.A. & Strijbosch, L.W.G., 2001. "Exact Fill Rates for (R, s, S) Inventory Control With Gamma Distributed Demand," Discussion Paper 2001-32, Tilburg University, Center for Economic Research.
  12. Moors, J.J.A. & Strijbosch, L.W.G., 2000. "Two-Step Sequential Sampling," Discussion Paper 2000-39, Tilburg University, Center for Economic Research.
  13. Strijbosch, L.W.G. & Moors, J.J.A., 1999. "Simple Expressions for Safety Factors in Inventory Control," Discussion Paper 1999-112, Tilburg University, Center for Economic Research.
  14. Heuts, R.M.J. & Strijbosch, L.W.G. & van der Schoot, E.H.M., 1999. "A Combined Forecast-Inventory Control Procedure for Spare Parts," Research Memorandum 772, Tilburg University, School of Economics and Management.
  15. Strijbosch, L.W.G. & Moors, J.J.A., 1998. "Inventory Control : The Impact of Unknown Demand Distribution," Research Memorandum 770, Tilburg University, School of Economics and Management.
  16. Ashayeri, J. & Strijbosch, L.W.G. & Jacobs, E. & van Asten, L., 1998. "Redesigning storage assignment and order-picking policies of a miniload AS/RS system : A case study," Other publications TiSEM 0cdf52f1-4b2f-4580-9809-f, Tilburg University, School of Economics and Management.
  17. Strijbosch, L.W.G. & Heuts, R.M.J. & van der Schoot, E.H.M., 1998. "Improved Spare Parts Inventory Management : A Case Study," Discussion Paper 1998-135, Tilburg University, Center for Economic Research.
  18. Strijbosch, L.W.G. & Moors, J.J.A. & de Kok, A.G., 1997. "On the interaction between forecasting and inventory control," Research Memorandum FEW 742, Tilburg University, School of Economics and Management.
  19. Moors, J.J.A. & Strijbosch, L.W.G., 1997. "New Proposals for the Validation of Trace-Driven Simulations," Research Memorandum FEW 745, Tilburg University, School of Economics and Management.
  20. Vörös, J. & Kriens, J. & Strijbosch, L.W.G., 1997. "A Note on the Kinks at the Mean Variance Frontier," Research Memorandum 743, Tilburg University, School of Economics and Management.
  21. Moors, J.J.A. & van der Genugten, B.B. & Strijbosch, L.W.G., 1997. "Repeated Audit Controls," Discussion Paper 1997-113, Tilburg University, Center for Economic Research.
  22. Kriens, J. & Strijbosch, L.W.G. & Vörös, J., 1994. "Differentiability properties of the efficient (u,q2)-set in the Markowitz portfolio selection method," Research Memorandum FEW 657, Tilburg University, School of Economics and Management.
  23. Strijbosch, L.W.G. & Heuts, R.M.J., 1994. "Investigating several alternatives for estimating the lead time demand distribution in a continuous review inventory model," Other publications TiSEM dc1f886c-0122-4da9-9598-8, Tilburg University, School of Economics and Management.
  24. Strijbosch, L.W.G. & Heuts, R.M.J., 1991. "Investigating several alternatives for estimating the compound lead time demand in an (s,Q) inventory model," Research Memorandum FEW 497, Tilburg University, School of Economics and Management.
  25. Strijbosch, L.W.G. & van Doorne, A.G.M. & Selen, W.J., 1990. "A simplified MOLP algorithm : The MOLP-S procedure," Research Memorandum FEW 460, Tilburg University, School of Economics and Management.
  26. Strijbosch, L.W.W. & Heuts, R.M.J., 1990. "Modelling (s,Q) inventory systems : Parametric versus non-parametric approximations for the lead time demand distributions," Research Memorandum FEW 446, Tilburg University, School of Economics and Management.
  27. Strijbosch, L.W.G. & Does, R.J.M.M., 1988. "Comparison of bias-reducing methods for estimating the parameter in dilution series," Research Memorandum FEW 304, Tilburg University, School of Economics and Management.

Articles

  1. Strijbosch, Leo W.G. & Syntetos, Aris A. & Boylan, John E. & Janssen, Elleke, 2011. "On the interaction between forecasting and stock control: The case of non-stationary demand," International Journal of Production Economics, Elsevier, vol. 133(1), pages 470-480, September.
  2. Janssen, Elleke & Strijbosch, Leo & Brekelmans, Ruud, 2009. "Assessing the effects of using demand parameters estimates in inventory control and improving the performance using a correction function," International Journal of Production Economics, Elsevier, vol. 118(1), pages 34-42, March.
  3. Strijbosch, L.W.G. & Moors, J.J.A., 2006. "Modified normal demand distributions in (R, S)-inventory control," European Journal of Operational Research, Elsevier, vol. 172(1), pages 201-212, July.
  4. Ashayeri, J. & Heuts, R.J.M. & Lansdaal, H.G.L. & Strijbosch, L.W.G., 2006. "Cyclic production-inventory planning and control in the pre-Deco industry: A case study," International Journal of Production Economics, Elsevier, vol. 103(2), pages 715-725, October.
  5. Strijbosch, L. W. G. & Moors, J. J. A., 2005. "The impact of unknown demand parameters on (R,S)-inventory control performance," European Journal of Operational Research, Elsevier, vol. 162(3), pages 805-815, May.
  6. J. J. A. Moors & L. W. G. Strijbosch, 2002. "Two–step sequential sampling," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 56(3), pages 270-284, August.
  7. J J A Moors & L W G Strijbosch, 2002. "Exact fill rates for (R, s, S) inventory control with gamma distributed demand," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(11), pages 1268-1274, November.
  8. L W G Strijbosch & R M J Heuts & E H M van der Schoot, 2000. "A combined forecast—inventory control procedure for spare parts," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(10), pages 1184-1192, October.
  9. Voros, J. & Kriens, J. & Strijbosch, L. W. G., 1999. "A note on the kinks at the mean variance frontier," European Journal of Operational Research, Elsevier, vol. 112(1), pages 236-239, January.
  10. Strijbosch, L. W. G. & Heuts, R. M. J., 1992. "Modelling (s, Q) inventory systems: Parametric versus non-parametric approximations for the lead time demand distribution," European Journal of Operational Research, Elsevier, vol. 63(1), pages 86-101, November.
  11. L.W.G. Strijbosch & R.J.M.M. Does & W. Albers, 1990. "Multiple‐dose design and bias‐reducing methods for limiting dilution assays," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 44(4), pages 241-261, December.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Janssen, E. & Strijbosch, L.W.G. & Brekelmans, R.C.M., 2007. "How to Determine the Order-up-to Level When Demand is Gamma Distributed with Unknown Parameters," Discussion Paper 2007-71, Tilburg University, Center for Economic Research.

    Cited by:

    1. Strijbosch, Leo W.G. & Syntetos, Aris A. & Boylan, John E. & Janssen, Elleke, 2011. "On the interaction between forecasting and stock control: The case of non-stationary demand," International Journal of Production Economics, Elsevier, vol. 133(1), pages 470-480, September.

  2. Stewart, T. & Strijbosch, L.W.G. & Moors, J.J.A. & van Batenburg, P., 2007. "A Simple Approximation to the Convolution of Gamma Distributions (Revision of DP 2006-27)," Discussion Paper 2007-70, Tilburg University, Center for Economic Research.

    Cited by:

    1. Patrick Carmack & Jeffrey Spence & William Schucany, 2012. "Generalised correlated cross-validation," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 24(2), pages 269-282.
    2. Jabari, Saif Eddin & Zheng, Jianfeng & Liu, Henry X., 2014. "A probabilistic stationary speed–density relation based on Newell’s simplified car-following model," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 205-223.
    3. Sally McClean & Lingkai Yang, 2023. "Semi-Markov Models for Process Mining in Smart Homes," Mathematics, MDPI, vol. 11(24), pages 1-16, December.
    4. Bégin Jean-François & Bédard Mylène & Gaillardetz Patrice, 2015. "Simulating from the Heston model: A gamma approximation scheme," Monte Carlo Methods and Applications, De Gruyter, vol. 21(3), pages 205-231, September.

  3. Strijbosch, L.W.G. & Heuts, R.M.J. & Moors, J.J.A., 2006. "Hierarchical Estimation as Basis for Hierarchical Forecasting," Discussion Paper 2006-86, Tilburg University, Center for Economic Research.

    Cited by:

    1. Babai, Zied & Boylan, John E. & Kolassa, Stephan & Nikolopoulos, Konstantinos, 2016. "Supply chain forecasting: Theory, practice, their gap and the futureAuthor-Name: Syntetos, Aris A," European Journal of Operational Research, Elsevier, vol. 252(1), pages 1-26.
    2. Aiping Jiang & Qiuguo Chi & Junjun Gao & Maoguo Wu, 2019. "An Integrated Approach to Forecasting Intermittent Demand for Electric Power Materials," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1309-1335, April.

  4. Janssen, E. & Strijbosch, L.W.G. & Brekelmans, R.C.M., 2006. "Assessing the Effects of using Demand Parameters Estimates in Inventory Control," Discussion Paper 2006-90, Tilburg University, Center for Economic Research.

    Cited by:

    1. Janssen, E. & Strijbosch, L.W.G. & Brekelmans, R.C.M., 2007. "How to Determine the Order-up-to Level When Demand is Gamma Distributed with Unknown Parameters," Other publications TiSEM d4ab4393-a742-4c25-8875-c, Tilburg University, School of Economics and Management.

  5. Strijbosch, L.W.G. & Moors, J.J.A., 2003. "Modified Normal Demand Distributions in (R,S)-Inventory Models," Discussion Paper 2003-76, Tilburg University, Center for Economic Research.

    Cited by:

    1. Strijbosch, L. W. G. & Moors, J. J. A., 2005. "The impact of unknown demand parameters on (R,S)-inventory control performance," European Journal of Operational Research, Elsevier, vol. 162(3), pages 805-815, May.

  6. Strijbosch, L.W.G. & Moors, J.J.A., 2002. "Simulating an (R,s,S) Inventory System," Discussion Paper 2002-94, Tilburg University, Center for Economic Research.

    Cited by:

    1. Jasmina Žic & Samir Žic & Goran Đukić & Svetlana Dabić-Miletić, 2024. "Exploring Green Inventory Management through Periodic Review Inventory Systems—A Comprehensive Literature Review and Directions for Future Research," Sustainability, MDPI, vol. 16(13), pages 1-17, June.

  7. Moors, J.J.A. & Strijbosch, L.W.G., 2001. "Exact Fill Rates for (R, s, S) Inventory Control With Gamma Distributed Demand," Discussion Paper 2001-32, Tilburg University, Center for Economic Research.

    Cited by:

    1. Noordhoek, Marije & Dullaert, Wout & Lai, David S.W. & de Leeuw, Sander, 2018. "A simulation–optimization approach for a service-constrained multi-echelon distribution network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 292-311.
    2. E A Silver & H Naseraldin & D P Bischak, 2009. "Determining the reorder point and order-up-to-level in a periodic review system so as to achieve a desired fill rate and a desired average time between replenishments," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(9), pages 1244-1253, September.
    3. Strijbosch, L.W.G. & Moors, J.J.A., 2006. "Modified normal demand distributions in (R, S)-inventory control," European Journal of Operational Research, Elsevier, vol. 172(1), pages 201-212, July.
    4. Eugenia Babiloni & Ester Guijarro & Juan R. Trapero, 2023. "Stock control analytics: a data-driven approach to compute the fill rate considering undershoots," Operational Research, Springer, vol. 23(1), pages 1-25, March.
    5. Strijbosch, L. W. G. & Moors, J. J. A., 2005. "The impact of unknown demand parameters on (R,S)-inventory control performance," European Journal of Operational Research, Elsevier, vol. 162(3), pages 805-815, May.
    6. Strijbosch, L.W.G. & Moors, J.J.A., 2003. "Modified Normal Demand Distributions in (R,S)-Inventory Models," Discussion Paper 2003-76, Tilburg University, Center for Economic Research.
    7. Jiang, R., 2008. "A Gamma–normal series truncation approximation for computing the Weibull renewal function," Reliability Engineering and System Safety, Elsevier, vol. 93(4), pages 616-626.
    8. Tal Avinadav, 2015. "Continuous accounting of inventory costs with Brownian-motion and Poisson demand processes," Annals of Operations Research, Springer, vol. 229(1), pages 85-102, June.

  8. Strijbosch, L.W.G. & Moors, J.J.A., 1999. "Simple Expressions for Safety Factors in Inventory Control," Discussion Paper 1999-112, Tilburg University, Center for Economic Research.

    Cited by:

    1. Moors, J.J.A. & Strijbosch, L.W.G., 2001. "Exact Fill Rates for (R, s, S) Inventory Control With Gamma Distributed Demand," Other publications TiSEM c967aa9c-b4fa-4074-9fbf-c, Tilburg University, School of Economics and Management.
    2. Beutel, Anna-Lena & Minner, Stefan, 2012. "Safety stock planning under causal demand forecasting," International Journal of Production Economics, Elsevier, vol. 140(2), pages 637-645.
    3. Janssen, E., 2010. "Inventory control in case of unknown demand and control parameters," Other publications TiSEM 9ba3c7c9-213b-47aa-9449-e, Tilburg University, School of Economics and Management.
    4. Janssen, E. & Strijbosch, L.W.G. & Brekelmans, R.C.M., 2006. "Assessing the Effects of using Demand Parameters Estimates in Inventory Control," Discussion Paper 2006-90, Tilburg University, Center for Economic Research.
    5. Janssen, Elleke & Strijbosch, Leo & Brekelmans, Ruud, 2009. "Assessing the effects of using demand parameters estimates in inventory control and improving the performance using a correction function," International Journal of Production Economics, Elsevier, vol. 118(1), pages 34-42, March.
    6. Bruzda, Joanna, 2020. "Demand forecasting under fill rate constraints—The case of re-order points," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1342-1361.

  9. Heuts, R.M.J. & Strijbosch, L.W.G. & van der Schoot, E.H.M., 1999. "A Combined Forecast-Inventory Control Procedure for Spare Parts," Research Memorandum 772, Tilburg University, School of Economics and Management.

    Cited by:

    1. Syntetos, A.A. & Teunter, R.H., 2014. "On the calculation of safety stocks," Research Report 14003-OPERA, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    2. Babai, Zied & Boylan, John E. & Kolassa, Stephan & Nikolopoulos, Konstantinos, 2016. "Supply chain forecasting: Theory, practice, their gap and the futureAuthor-Name: Syntetos, Aris A," European Journal of Operational Research, Elsevier, vol. 252(1), pages 1-26.
    3. Moon, Seongmin & Hicks, Christian & Simpson, Andrew, 2012. "The development of a hierarchical forecasting method for predicting spare parts demand in the South Korean Navy—A case study," International Journal of Production Economics, Elsevier, vol. 140(2), pages 794-802.
    4. Janssen, E., 2010. "Inventory control in case of unknown demand and control parameters," Other publications TiSEM 9ba3c7c9-213b-47aa-9449-e, Tilburg University, School of Economics and Management.
    5. Pierre Dodin & Jingyi Xiao & Yossiri Adulyasak & Neda Etebari Alamdari & Lea Gauthier & Philippe Grangier & Paul Lemaitre & William L. Hamilton, 2023. "Bombardier Aftermarket Demand Forecast with Machine Learning," Interfaces, INFORMS, vol. 53(6), pages 425-445, November.
    6. Juha Lukkarinen & Jukka Majava, 2020. "Supplies Inventory Management in a Corporation Context: A Case Study," International Journal of Management, Knowledge and Learning, International School for Social and Business Studies, Celje, Slovenia, vol. 9(2), pages 169-184.
    7. Pinçe, Çerağ & Turrini, Laura & Meissner, Joern, 2021. "Intermittent demand forecasting for spare parts: A Critical review," Omega, Elsevier, vol. 105(C).
    8. Sinan Apak, 2015. "A Bayesian Approach Proposal For Inventory Cost and Demand Forecasting," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 3(2), pages 41-48, December.
    9. Janssen, E. & Strijbosch, L.W.G. & Brekelmans, R.C.M., 2006. "Assessing the Effects of using Demand Parameters Estimates in Inventory Control," Discussion Paper 2006-90, Tilburg University, Center for Economic Research.
    10. Eugenia Babiloni & Ester Guijarro & Juan R. Trapero, 2023. "Stock control analytics: a data-driven approach to compute the fill rate considering undershoots," Operational Research, Springer, vol. 23(1), pages 1-25, March.
    11. Sofia Estelles-Miguel & Manuel Cardos & Jose Miguel Albarracin Guillem & Marta Palmer Gato, 2014. "Calculation of the Approaches to Cycle Service Level in Continuous Review Policy: A Tool for Corporate Entrepreneur," Business and Management Research, Business and Management Research, Sciedu Press, vol. 3(1), pages 54-60, March.
    12. Syntetos, Aris A. & Boylan, John E., 2006. "On the stock control performance of intermittent demand estimators," International Journal of Production Economics, Elsevier, vol. 103(1), pages 36-47, September.
    13. Cardós, Manuel & Babiloni, Eugenia, 2011. "Exact and approximate calculation of the cycle service level in periodic review inventory policies," International Journal of Production Economics, Elsevier, vol. 131(1), pages 63-68, May.
    14. Syntetos, A.A. & Teunter, R.H. & Babai, M.Z. & Transchel, S., 2016. "On the benefits of delayed ordering," European Journal of Operational Research, Elsevier, vol. 248(3), pages 963-970.
    15. Prak, Dennis & Rogetzer, Patricia, 2022. "Timing intermittent demand with time-varying order-up-to levels," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1126-1136.
    16. Janssen, Elleke & Strijbosch, Leo & Brekelmans, Ruud, 2009. "Assessing the effects of using demand parameters estimates in inventory control and improving the performance using a correction function," International Journal of Production Economics, Elsevier, vol. 118(1), pages 34-42, March.
    17. Rossetti, Manuel D. & Yasin Ünlü, 2011. "Evaluating the robustness of lead time demand models," International Journal of Production Economics, Elsevier, vol. 134(1), pages 159-176, November.
    18. Cardós, Manuel & Babiloni, Eugenia, 2011. "Exact and approximated calculation of the cycle service level in a continuous review policy," International Journal of Production Economics, Elsevier, vol. 133(1), pages 251-255, September.
    19. Prak, Dennis & Teunter, Ruud, 2019. "A general method for addressing forecasting uncertainty in inventory models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 224-238.
    20. Syntetos, Aris A. & Boylan, John E., 2010. "On the variance of intermittent demand estimates," International Journal of Production Economics, Elsevier, vol. 128(2), pages 546-555, December.
    21. Teunter, Ruud & Sani, Babangida, 2009. "Calculating order-up-to levels for products with intermittent demand," International Journal of Production Economics, Elsevier, vol. 118(1), pages 82-86, March.
    22. Boylan, J.E. & Syntetos, A.A., 2007. "The accuracy of a Modified Croston procedure," International Journal of Production Economics, Elsevier, vol. 107(2), pages 511-517, June.
    23. Strijbosch, Leo W.G. & Syntetos, Aris A. & Boylan, John E. & Janssen, Elleke, 2011. "On the interaction between forecasting and stock control: The case of non-stationary demand," International Journal of Production Economics, Elsevier, vol. 133(1), pages 470-480, September.

  10. Strijbosch, L.W.G. & Moors, J.J.A., 1998. "Inventory Control : The Impact of Unknown Demand Distribution," Research Memorandum 770, Tilburg University, School of Economics and Management.

    Cited by:

    1. Strijbosch, L.W.G. & Moors, J.J.A., 1999. "Simple Expressions for Safety Factors in Inventory Control," Other publications TiSEM 2f1bb350-ce71-4adf-beca-b, Tilburg University, School of Economics and Management.
    2. Heuts, R.M.J. & Strijbosch, L.W.G. & van der Schoot, E.H.M., 1999. "A Combined Forecast-Inventory Control Procedure for Spare Parts," Other publications TiSEM 333581ee-2340-4176-9933-d, Tilburg University, School of Economics and Management.
    3. Strijbosch, L. W. G. & Moors, J. J. A., 2005. "The impact of unknown demand parameters on (R,S)-inventory control performance," European Journal of Operational Research, Elsevier, vol. 162(3), pages 805-815, May.
    4. Strijbosch, L.W.G. & Moors, J.J.A., 2003. "Modified Normal Demand Distributions in (R,S)-Inventory Models," Discussion Paper 2003-76, Tilburg University, Center for Economic Research.

  11. Strijbosch, L.W.G. & Heuts, R.M.J. & van der Schoot, E.H.M., 1998. "Improved Spare Parts Inventory Management : A Case Study," Discussion Paper 1998-135, Tilburg University, Center for Economic Research.

    Cited by:

    1. Azizah Aisyati & Wakhid Ahmad Jauhari & Cucuk Nur Rosyidi, 2014. "Periodic Review Model for Determining Inventory Policy for Aircraft Consumable Spare Parts," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 5(3), pages 41-51, June.
    2. Strijbosch, L.W.G. & Moors, J.J.A., 1998. "Inventory Control : The Impact of Unknown Demand Distribution," Other publications TiSEM bf5529df-b993-4816-9839-0, Tilburg University, School of Economics and Management.
    3. Azizah Aisyati & Wakhid Ahmad Jauhari & Cucuk Nur Rosyidi, 2013. "Determination Inventory Level for Aircraft Spare Parts Using Continuous Review Model," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 4(1), pages 1-12, February.

  12. Strijbosch, L.W.G. & Moors, J.J.A. & de Kok, A.G., 1997. "On the interaction between forecasting and inventory control," Research Memorandum FEW 742, Tilburg University, School of Economics and Management.

    Cited by:

    1. Heuts, R.M.J. & Strijbosch, L.W.G. & van der Schoot, E.H.M., 1999. "A Combined Forecast-Inventory Control Procedure for Spare Parts," Other publications TiSEM 333581ee-2340-4176-9933-d, Tilburg University, School of Economics and Management.
    2. Hasni, M. & Aguir, M.S. & Babai, M.Z. & Jemai, Z., 2019. "On the performance of adjusted bootstrapping methods for intermittent demand forecasting," International Journal of Production Economics, Elsevier, vol. 216(C), pages 145-153.
    3. Janssen, E., 2010. "Inventory control in case of unknown demand and control parameters," Other publications TiSEM 9ba3c7c9-213b-47aa-9449-e, Tilburg University, School of Economics and Management.
    4. Janssen, E. & Strijbosch, L.W.G. & Brekelmans, R.C.M., 2006. "Assessing the Effects of using Demand Parameters Estimates in Inventory Control," Discussion Paper 2006-90, Tilburg University, Center for Economic Research.
    5. Strijbosch, L.W.G. & Moors, J.J.A., 1998. "Inventory Control : The Impact of Unknown Demand Distribution," Other publications TiSEM bf5529df-b993-4816-9839-0, Tilburg University, School of Economics and Management.
    6. Strijbosch, L. W. G. & Moors, J. J. A., 2005. "The impact of unknown demand parameters on (R,S)-inventory control performance," European Journal of Operational Research, Elsevier, vol. 162(3), pages 805-815, May.
    7. Ali, Mohammad M. & Boylan, John E. & Syntetos, Aris A., 2012. "Forecast errors and inventory performance under forecast information sharing," International Journal of Forecasting, Elsevier, vol. 28(4), pages 830-841.
    8. Janssen, Elleke & Strijbosch, Leo & Brekelmans, Ruud, 2009. "Assessing the effects of using demand parameters estimates in inventory control and improving the performance using a correction function," International Journal of Production Economics, Elsevier, vol. 118(1), pages 34-42, March.
    9. A A Syntetos & M Z Babai & Y Dallery & R Teunter, 2009. "Periodic control of intermittent demand items: theory and empirical analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(5), pages 611-618, May.
    10. Strijbosch, Leo W.G. & Syntetos, Aris A. & Boylan, John E. & Janssen, Elleke, 2011. "On the interaction between forecasting and stock control: The case of non-stationary demand," International Journal of Production Economics, Elsevier, vol. 133(1), pages 470-480, September.

  13. Moors, J.J.A. & Strijbosch, L.W.G., 1997. "New Proposals for the Validation of Trace-Driven Simulations," Research Memorandum FEW 745, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kleijnen, J.P.C. & Cheng, R.C.H. & Bettonvil, B.W.M., 2000. "Validation of trace-driven simulation models : More on bootstrap tests," Other publications TiSEM 78dda39d-725a-488b-9618-b, Tilburg University, School of Economics and Management.

  14. Vörös, J. & Kriens, J. & Strijbosch, L.W.G., 1997. "A Note on the Kinks at the Mean Variance Frontier," Research Memorandum 743, Tilburg University, School of Economics and Management.

    Cited by:

  15. Moors, J.J.A. & van der Genugten, B.B. & Strijbosch, L.W.G., 1997. "Repeated Audit Controls," Discussion Paper 1997-113, Tilburg University, Center for Economic Research.

    Cited by:

    1. Raats, V.M. & Moors, J.J.A., 2000. "Double Checking for Two Error Types," Other publications TiSEM 377fb0f1-fc2f-44ce-b75c-c, Tilburg University, School of Economics and Management.
    2. Rahardja, Dewi & Young, Dean M., 2011. "Likelihood-based confidence intervals for the risk ratio using double sampling with over-reported binary data," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 813-823, January.
    3. Rahardja, Dewi & Young, Dean M., 2010. "Credible sets for risk ratios in over-reported two-sample binomial data using the double-sampling scheme," Computational Statistics & Data Analysis, Elsevier, vol. 54(5), pages 1281-1287, May.
    4. Boese, Doyle H. & Young, Dean M. & Stamey, James D., 2006. "Confidence intervals for a binomial parameter based on binary data subject to false-positive misclassification," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3369-3385, August.
    5. Raats, V.M. & Moors, J.J.A. & van der Genugten, B.B., 2004. "A Mixed Model for Double Checking Fallible Auditors," Discussion Paper 2004-82, Tilburg University, Center for Economic Research.
    6. Raats, V.M. & Moors, J.J.A., 2000. "Double Checking for Two Error Types," Discussion Paper 2000-120, Tilburg University, Center for Economic Research.
    7. Raats, V.M. & Moors, J.J.A. & van der Genugten, B.B., 2004. "A Mixed Model for Double Checking Fallible Auditors," Other publications TiSEM 847311c8-d871-4942-b5e3-8, Tilburg University, School of Economics and Management.

  16. Strijbosch, L.W.G. & van Doorne, A.G.M. & Selen, W.J., 1990. "A simplified MOLP algorithm : The MOLP-S procedure," Research Memorandum FEW 460, Tilburg University, School of Economics and Management.

    Cited by:

    1. Steuer, Ralph E. & Piercy, Craig A., 2005. "A regression study of the number of efficient extreme points in multiple objective linear programming," European Journal of Operational Research, Elsevier, vol. 162(2), pages 484-496, April.

  17. Strijbosch, L.W.W. & Heuts, R.M.J., 1990. "Modelling (s,Q) inventory systems : Parametric versus non-parametric approximations for the lead time demand distributions," Research Memorandum FEW 446, Tilburg University, School of Economics and Management.

    Cited by:

    1. Janssen, E. & Strijbosch, L.W.G. & Brekelmans, R.C.M., 2007. "How to Determine the Order-up-to Level When Demand is Gamma Distributed with Unknown Parameters," Other publications TiSEM d4ab4393-a742-4c25-8875-c, Tilburg University, School of Economics and Management.
    2. Janssen, F.B.S.L.P. & Heuts, R.M.J. & de Kok, T., 1996. "The Value of Information in an (R,s,Q) Inventory Model," Discussion Paper 1996-21, Tilburg University, Center for Economic Research.
    3. Strijbosch, L.W.G. & Heuts, R.M.J., 1991. "Investigating several alternatives for estimating the compound lead time demand in an (s,Q) inventory model," Research Memorandum FEW 497, Tilburg University, School of Economics and Management.
    4. Park, Changkyu, 2007. "An analysis of the lead time demand distribution derivation in stochastic inventory systems," International Journal of Production Economics, Elsevier, vol. 105(1), pages 263-272, January.
    5. Janssen, E., 2010. "Inventory control in case of unknown demand and control parameters," Other publications TiSEM 9ba3c7c9-213b-47aa-9449-e, Tilburg University, School of Economics and Management.
    6. Janssen, E. & Strijbosch, L.W.G. & Brekelmans, R.C.M., 2006. "Assessing the Effects of using Demand Parameters Estimates in Inventory Control," Discussion Paper 2006-90, Tilburg University, Center for Economic Research.
    7. Georgia Perakis & Melvyn Sim & Qinshen Tang & Peng Xiong, 2023. "Robust Pricing and Production with Information Partitioning and Adaptation," Management Science, INFORMS, vol. 69(3), pages 1398-1419, March.
    8. Hon-Shiang Lau & Amy Hing-Ling Lau & Chrwan-Jyh Ho, 1998. "Improved Moment-Estimation Formulas Using More Than Three Subjective Fractiles," Management Science, INFORMS, vol. 44(3), pages 346-351, March.
    9. Janssen, F.B.S.L.P. & Heuts, R.M.J. & de Kok, T., 1996. "The Value of Information in an (R,s,Q) Inventory Model," Other publications TiSEM 4b589d1f-2822-4c0f-9dea-6, Tilburg University, School of Economics and Management.
    10. Trapero, Juan R. & Cardós, Manuel & Kourentzes, Nikolaos, 2019. "Empirical safety stock estimation based on kernel and GARCH models," Omega, Elsevier, vol. 84(C), pages 199-211.
    11. Janssen, Elleke & Strijbosch, Leo & Brekelmans, Ruud, 2009. "Assessing the effects of using demand parameters estimates in inventory control and improving the performance using a correction function," International Journal of Production Economics, Elsevier, vol. 118(1), pages 34-42, March.
    12. van der Duyn Schouten, F.A. & van Eijs, M.J.G. & Heuts, R.M.J., 1992. "The value of information in a fixed order quantity inventory system," Research Memorandum FEW 568, Tilburg University, School of Economics and Management.
    13. Vernimmen, Bert & Dullaert, Wout & Willemé, Peter & Witlox, Frank, 2008. "Using the inventory-theoretic framework to determine cost-minimizing supply strategies in a stochastic setting," International Journal of Production Economics, Elsevier, vol. 115(1), pages 248-259, September.
    14. Trapero, Juan R. & Cardós, Manuel & Kourentzes, Nikolaos, 2019. "Quantile forecast optimal combination to enhance safety stock estimation," International Journal of Forecasting, Elsevier, vol. 35(1), pages 239-250.
    15. Bruzda, Joanna, 2020. "Demand forecasting under fill rate constraints—The case of re-order points," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1342-1361.
    16. van der Duyn Schouten, F.A. & van Eijs, M.J.G. & Heuts, R.M.J., 1992. "The value of information in a fixed order quantity inventory system," Other publications TiSEM ded27036-a7f0-47c7-b799-c, Tilburg University, School of Economics and Management.

Articles

  1. Strijbosch, Leo W.G. & Syntetos, Aris A. & Boylan, John E. & Janssen, Elleke, 2011. "On the interaction between forecasting and stock control: The case of non-stationary demand," International Journal of Production Economics, Elsevier, vol. 133(1), pages 470-480, September.

    Cited by:

    1. Vladimir Polotski & Jean-Pierre Kenne & Ali Gharbi, 2019. "Optimal production and corrective maintenance in a failure-prone manufacturing system under variable demand," Flexible Services and Manufacturing Journal, Springer, vol. 31(4), pages 894-925, December.
    2. Hahn, G.J. & Leucht, A., 2015. "Managing inventory systems of slow-moving items," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 543-550.
    3. Kourentzes, Nikolaos, 2013. "Intermittent demand forecasts with neural networks," International Journal of Production Economics, Elsevier, vol. 143(1), pages 198-206.
    4. Ma, Xiyuan & Rossi, Roberto & Archibald, Thomas Welsh, 2022. "Approximations for non-stationary stochastic lot-sizing under (s,Q)-type policy," European Journal of Operational Research, Elsevier, vol. 298(2), pages 573-584.
    5. Janssen, E., 2010. "Inventory control in case of unknown demand and control parameters," Other publications TiSEM 9ba3c7c9-213b-47aa-9449-e, Tilburg University, School of Economics and Management.
    6. Petropoulos, Fotios & Wang, Xun & Disney, Stephen M., 2019. "The inventory performance of forecasting methods: Evidence from the M3 competition data," International Journal of Forecasting, Elsevier, vol. 35(1), pages 251-265.
    7. Ferbar Tratar, Liljana & Mojškerc, Blaž & Toman, Aleš, 2016. "Demand forecasting with four-parameter exponential smoothing," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 162-173.
    8. Kourentzes, Nikolaos, 2014. "On intermittent demand model optimisation and selection," International Journal of Production Economics, Elsevier, vol. 156(C), pages 180-190.
    9. Xiang, Mengyuan & Rossi, Roberto & Martin-Barragan, Belen & Tarim, S. Armagan, 2018. "Computing non-stationary (s, S) policies using mixed integer linear programming," European Journal of Operational Research, Elsevier, vol. 271(2), pages 490-500.
    10. Ata Allah Taleizadeh, 2017. "Stochastic Multi-Objectives Supply Chain Optimization with Forecasting Partial Backordering Rate: A Novel Hybrid Method of Meta Goal Programming and Evolutionary Algorithms," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(04), pages 1-28, August.
    11. Saoud, Patrick & Kourentzes, Nikolaos & Boylan, John E., 2022. "Approximations for the Lead Time Variance: a Forecasting and Inventory Evaluation," Omega, Elsevier, vol. 110(C).
    12. Halkos, George & Kevork, Ilias, 2013. "Forecasting the optimal order quantity in the newsvendor model under a correlated demand," MPRA Paper 44189, University Library of Munich, Germany.
    13. Altay, Nezih & Litteral, Lewis A. & Rudisill, Frank, 2012. "Effects of correlation on intermittent demand forecasting and stock control," International Journal of Production Economics, Elsevier, vol. 135(1), pages 275-283.
    14. Prak, Dennis & Teunter, Ruud, 2019. "A general method for addressing forecasting uncertainty in inventory models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 224-238.
    15. Kourentzes, Nikolaos & Barrow, Devon & Petropoulos, Fotios, 2019. "Another look at forecast selection and combination: Evidence from forecast pooling," International Journal of Production Economics, Elsevier, vol. 209(C), pages 226-235.
    16. Bruzda, Joanna, 2020. "Demand forecasting under fill rate constraints—The case of re-order points," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1342-1361.

  2. Janssen, Elleke & Strijbosch, Leo & Brekelmans, Ruud, 2009. "Assessing the effects of using demand parameters estimates in inventory control and improving the performance using a correction function," International Journal of Production Economics, Elsevier, vol. 118(1), pages 34-42, March.

    Cited by:

    1. Prak, Dennis & Teunter, Ruud & Syntetos, Aris, 2017. "On the calculation of safety stocks when demand is forecasted," European Journal of Operational Research, Elsevier, vol. 256(2), pages 454-461.
    2. Halkos, George & Kevork, Ilias, 2012. "Evaluating alternative frequentist inferential approaches for optimal order quantities in the newsvendor model under exponential demand," MPRA Paper 39650, University Library of Munich, Germany.
    3. Halkos, George & Kevork, Ilias & Tziourtzioumis, Chris, 2014. "On the convexity of the cost function for the (Q,R) inventory model," MPRA Paper 55675, University Library of Munich, Germany.
    4. Halkos, George & Kevork, Ilias, 2012. "The classical newsvendor model under normal demand with large coefficients of variation," MPRA Paper 40414, University Library of Munich, Germany.
    5. Halkos, George & Kevork, Ilias, 2012. "Unbiased estimation of maximum expected profits in the Newsvendor Model: a case study analysis," MPRA Paper 40724, University Library of Munich, Germany.
    6. Saoud, Patrick & Kourentzes, Nikolaos & Boylan, John E., 2022. "Approximations for the Lead Time Variance: a Forecasting and Inventory Evaluation," Omega, Elsevier, vol. 110(C).
    7. Halkos, George & Kevork, Ilias, 2013. "Forecasting the optimal order quantity in the newsvendor model under a correlated demand," MPRA Paper 44189, University Library of Munich, Germany.
    8. Prak, Dennis & Teunter, Ruud, 2019. "A general method for addressing forecasting uncertainty in inventory models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 224-238.
    9. Sharfuddin Lisan, 2018. "Safety stock determination of uncertain demand and mutually dependent variables," International Journal of Business and Social Research, LAR Center Press, vol. 8(3), pages 1-11, March.
    10. Halkos, George & Kevork, Ilias & Tziourtzioumis, Chris, 2014. "Optimal inventory policies with an exact cost function under large demand uncertainty," MPRA Paper 60545, University Library of Munich, Germany.
    11. Qi Feng & J. George Shanthikumar, 2022. "Developing operations management data analytics," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4544-4557, December.
    12. Khurram Rehmani & Afshan Naseem & Yasir Ahmad & Muhammad Zeeshan Mirza & Tasweer Hussain Syed, 2021. "Development of a hybrid framework for inventory leanness in Technical Services Organizations," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-13, February.
    13. Strijbosch, Leo W.G. & Syntetos, Aris A. & Boylan, John E. & Janssen, Elleke, 2011. "On the interaction between forecasting and stock control: The case of non-stationary demand," International Journal of Production Economics, Elsevier, vol. 133(1), pages 470-480, September.

  3. Strijbosch, L.W.G. & Moors, J.J.A., 2006. "Modified normal demand distributions in (R, S)-inventory control," European Journal of Operational Research, Elsevier, vol. 172(1), pages 201-212, July.

    Cited by:

    1. Prak, Dennis & Teunter, Ruud & Syntetos, Aris, 2017. "On the calculation of safety stocks when demand is forecasted," European Journal of Operational Research, Elsevier, vol. 256(2), pages 454-461.
    2. E A Silver & H Naseraldin & D P Bischak, 2009. "Determining the reorder point and order-up-to-level in a periodic review system so as to achieve a desired fill rate and a desired average time between replenishments," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(9), pages 1244-1253, September.
    3. Babai, M.Z. & Jemai, Z. & Dallery, Y., 2011. "Analysis of order-up-to-level inventory systems with compound Poisson demand," European Journal of Operational Research, Elsevier, vol. 210(3), pages 552-558, May.
    4. Hasni, M. & Aguir, M.S. & Babai, M.Z. & Jemai, Z., 2019. "On the performance of adjusted bootstrapping methods for intermittent demand forecasting," International Journal of Production Economics, Elsevier, vol. 216(C), pages 145-153.
    5. Halkos, George & Kevork, Ilias, 2012. "The classical newsvendor model under normal demand with large coefficients of variation," MPRA Paper 40414, University Library of Munich, Germany.
    6. Janssen, E., 2010. "Inventory control in case of unknown demand and control parameters," Other publications TiSEM 9ba3c7c9-213b-47aa-9449-e, Tilburg University, School of Economics and Management.
    7. Janssen, E. & Strijbosch, L.W.G. & Brekelmans, R.C.M., 2006. "Assessing the Effects of using Demand Parameters Estimates in Inventory Control," Discussion Paper 2006-90, Tilburg University, Center for Economic Research.
    8. Ernesto Armando Pacheco-Velázquez & Manuel Robles-Cárdenas & Saúl Juárez Ordóñez & Abelardo Ernesto Damy Solís & Leopoldo Eduardo Cárdenas-Barrón, 2023. "A Heuristic Model for Spare Parts Stocking Based on Markov Chains," Mathematics, MDPI, vol. 11(16), pages 1-21, August.
    9. Halkos, George & Kevork, Ilias, 2011. "Non-negative demand in newsvendor models:The case of singly truncated normal samples," MPRA Paper 31842, University Library of Munich, Germany.
    10. Syntetos, Aris A. & Nikolopoulos, Konstantinos & Boylan, John E., 2010. "Judging the judges through accuracy-implication metrics: The case of inventory forecasting," International Journal of Forecasting, Elsevier, vol. 26(1), pages 134-143, January.
    11. Syntetos, Aris A. & Nikolopoulos, Konstantinos & Boylan, John E. & Fildes, Robert & Goodwin, Paul, 2009. "The effects of integrating management judgement into intermittent demand forecasts," International Journal of Production Economics, Elsevier, vol. 118(1), pages 72-81, March.
    12. Janssen, Elleke & Strijbosch, Leo & Brekelmans, Ruud, 2009. "Assessing the effects of using demand parameters estimates in inventory control and improving the performance using a correction function," International Journal of Production Economics, Elsevier, vol. 118(1), pages 34-42, March.
    13. Strijbosch, Leo W.G. & Syntetos, Aris A. & Boylan, John E. & Janssen, Elleke, 2011. "On the interaction between forecasting and stock control: The case of non-stationary demand," International Journal of Production Economics, Elsevier, vol. 133(1), pages 470-480, September.

  4. Ashayeri, J. & Heuts, R.J.M. & Lansdaal, H.G.L. & Strijbosch, L.W.G., 2006. "Cyclic production-inventory planning and control in the pre-Deco industry: A case study," International Journal of Production Economics, Elsevier, vol. 103(2), pages 715-725, October.

    Cited by:

    1. Ik Sun Lee, 2016. "Production and shipment policy under dynamic demand in the supply chain environments," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 8(1), pages 1-19.
    2. Jodlbauer, Herbert & Reitner, Sonja, 2012. "Optimizing service-level and relevant cost for a stochastic multi-item cyclic production system," International Journal of Production Economics, Elsevier, vol. 136(2), pages 306-317.
    3. Zied Bahroun & Nidhal Belgacem, 2019. "Determination of dynamic safety stocks for cyclic production schedules," Operations Management Research, Springer, vol. 12(1), pages 62-93, June.
    4. Waldemarsson, Martin & Lidestam, Helene & Karlsson, Magnus, 2017. "How energy price changes can affect production- and supply chain planning – A case study at a pulp company," Applied Energy, Elsevier, vol. 203(C), pages 333-347.

  5. Strijbosch, L. W. G. & Moors, J. J. A., 2005. "The impact of unknown demand parameters on (R,S)-inventory control performance," European Journal of Operational Research, Elsevier, vol. 162(3), pages 805-815, May.

    Cited by:

    1. Prak, Dennis & Teunter, Ruud & Syntetos, Aris, 2017. "On the calculation of safety stocks when demand is forecasted," European Journal of Operational Research, Elsevier, vol. 256(2), pages 454-461.
    2. Strijbosch, L.W.G. & Moors, J.J.A., 2006. "Modified normal demand distributions in (R, S)-inventory control," European Journal of Operational Research, Elsevier, vol. 172(1), pages 201-212, July.
    3. Joanna Bruzda, 2020. "Multistep quantile forecasts for supply chain and logistics operations: bootstrapping, the GARCH model and quantile regression based approaches," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(1), pages 309-336, March.
    4. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    5. Hasni, M. & Aguir, M.S. & Babai, M.Z. & Jemai, Z., 2019. "On the performance of adjusted bootstrapping methods for intermittent demand forecasting," International Journal of Production Economics, Elsevier, vol. 216(C), pages 145-153.
    6. Lengu, D. & Syntetos, A.A. & Babai, M.Z., 2014. "Spare parts management: Linking distributional assumptions to demand classification," European Journal of Operational Research, Elsevier, vol. 235(3), pages 624-635.
    7. Janssen, E., 2010. "Inventory control in case of unknown demand and control parameters," Other publications TiSEM 9ba3c7c9-213b-47aa-9449-e, Tilburg University, School of Economics and Management.
    8. Janssen, E. & Strijbosch, L.W.G. & Brekelmans, R.C.M., 2006. "Assessing the Effects of using Demand Parameters Estimates in Inventory Control," Discussion Paper 2006-90, Tilburg University, Center for Economic Research.
    9. Yonit Barron & Opher Baron, 2020. "The residual time approach for (Q, r) model under perishability, general lead times, and lost sales," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 92(3), pages 601-648, December.
    10. Sun, Zhengwei & Hupman, Andrea C. & Abbas, Ali E., 2021. "The value of information for price dependent demand," European Journal of Operational Research, Elsevier, vol. 288(2), pages 511-522.
    11. Syntetos, Aris A. & Nikolopoulos, Konstantinos & Boylan, John E., 2010. "Judging the judges through accuracy-implication metrics: The case of inventory forecasting," International Journal of Forecasting, Elsevier, vol. 26(1), pages 134-143, January.
    12. Syntetos, Aris A. & Nikolopoulos, Konstantinos & Boylan, John E. & Fildes, Robert & Goodwin, Paul, 2009. "The effects of integrating management judgement into intermittent demand forecasts," International Journal of Production Economics, Elsevier, vol. 118(1), pages 72-81, March.
    13. Janssen, Elleke & Strijbosch, Leo & Brekelmans, Ruud, 2009. "Assessing the effects of using demand parameters estimates in inventory control and improving the performance using a correction function," International Journal of Production Economics, Elsevier, vol. 118(1), pages 34-42, March.
    14. Prak, Dennis & Teunter, Ruud, 2019. "A general method for addressing forecasting uncertainty in inventory models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 224-238.
    15. Sharfuddin Lisan, 2018. "Safety stock determination of uncertain demand and mutually dependent variables," International Journal of Business and Social Research, LAR Center Press, vol. 8(3), pages 1-11, March.
    16. Bruzda, Joanna, 2019. "Quantile smoothing in supply chain and logistics forecasting," International Journal of Production Economics, Elsevier, vol. 208(C), pages 122-139.
    17. Bruzda, Joanna, 2020. "Demand forecasting under fill rate constraints—The case of re-order points," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1342-1361.
    18. Strijbosch, Leo W.G. & Syntetos, Aris A. & Boylan, John E. & Janssen, Elleke, 2011. "On the interaction between forecasting and stock control: The case of non-stationary demand," International Journal of Production Economics, Elsevier, vol. 133(1), pages 470-480, September.

  6. J J A Moors & L W G Strijbosch, 2002. "Exact fill rates for (R, s, S) inventory control with gamma distributed demand," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(11), pages 1268-1274, November.
    See citations under working paper version above.
  7. L W G Strijbosch & R M J Heuts & E H M van der Schoot, 2000. "A combined forecast—inventory control procedure for spare parts," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(10), pages 1184-1192, October.
    See citations under working paper version above.
  8. Voros, J. & Kriens, J. & Strijbosch, L. W. G., 1999. "A note on the kinks at the mean variance frontier," European Journal of Operational Research, Elsevier, vol. 112(1), pages 236-239, January.
    See citations under working paper version above.
  9. Strijbosch, L. W. G. & Heuts, R. M. J., 1992. "Modelling (s, Q) inventory systems: Parametric versus non-parametric approximations for the lead time demand distribution," European Journal of Operational Research, Elsevier, vol. 63(1), pages 86-101, November.
    See citations under working paper version above.

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