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Stefan Creemers

Personal Details

First Name:Stefan
Middle Name:
Last Name:Creemers
Suffix:
RePEc Short-ID:pcr143
[This author has chosen not to make the email address public]

Affiliation

(50%) Lille Économie et Management (LEM)

Lille, France
http://lem.univ-lille.fr/
RePEc:edi:laborfr (more details at EDIRC)

(50%) IESEG School of Management
Université Catholique de Lille

Lille, France
http://www.ieseg.fr/
RePEc:edi:iesegfr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Stefan Creemers, 2016. "Moments and distribution of the NPV of a project," Working Papers of Department of Decision Sciences and Information Management, Leuven 552744, KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven.
  2. Salim Rostami & Stefan Creemers & Roel Leus, 2016. "New benchmark results for the stochastic resource-constrained scheduling problem," Working Papers of Department of Decision Sciences and Information Management, Leuven 527364, KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven.
  3. Stefan Creemers, 2016. "The preemptive stochastic resource-constrained project scheduling problem: an efficient globally optimal solution procedure," Working Papers of Department of Decision Sciences and Information Management, Leuven 553966, KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven.
  4. Stefan Creemers, 2015. "Minimizing the expected makespan of a project with stochastic activity durations under resource constraints," Working Papers of Department of Decision Sciences and Information Management, Leuven 488396, KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven.
  5. S. Creemers & E. Demeulemeester & S. van de Vonder, 2013. "A new approach for quantitative risk analysis," Post-Print hal-00846528, HAL.
  6. M. Lambrecht & S. Creemers & R. Boute & R. Leus, 2012. "Extending the production dice game," Post-Print hal-00800188, HAL.
  7. S. Creemers & J. Beliën & M. Lambrecht, 2012. "The optimal allocation of server time slots over different classes of customers," Post-Print hal-00800190, HAL.
  8. R. Boute & P. Colen & S. Creemers & A. Noblesse & B. van Houdt, 2012. "Matrix-analytic methods in supply chain management: recent developments," Post-Print hal-00846532, HAL.
  9. S. Creemers & M. Lambrecht, 2011. "The modeling of interrupts and planned absences in healthcare operations," Post-Print hal-00800192, HAL.
  10. S. Creemers & M. Lambrecht, 2010. "Queueing models for appointment-driven systems," Post-Print hal-00800195, HAL.
  11. S. Creemers & M. Lambrecht, 2010. "Modeling a hospital queueing network," Post-Print hal-00814195, HAL.
  12. S. Creemers & R. Leus & M. Lambrecht, 2010. "Scheduling Markovian PERT networks to maximize the net present value," Post-Print hal-00800198, HAL.
  13. S. Creemers, 2009. "Appointment-driven queueing systems. PhD Dissertation," Post-Print hal-00814186, HAL.
  14. S. Creemers & M. Lambrecht, 2009. "An advanced queueing model to analyze appointment-driven service systems," Post-Print hal-00800200, HAL.

Articles

  1. De Boeck, Liesje & Beliën, Jeroen & Creemers, Stefan, 2016. "A column generation approach for solving the examination-timetabling problemAuthor-Name: Woumans, Gert," European Journal of Operational Research, Elsevier, vol. 253(1), pages 178-194.
  2. Creemers, Stefan & De Reyck, Bert & Leus, Roel, 2015. "Project planning with alternative technologies in uncertain environments," European Journal of Operational Research, Elsevier, vol. 242(2), pages 465-476.
  3. Stefan Creemers & Erik Demeulemeester & Stijn Vonder, 2014. "A new approach for quantitative risk analysis," Annals of Operations Research, Springer, vol. 213(1), pages 27-65, February.
  4. R.N. Boute & P.J. Colen & S. Creemers & A. Noblesse & B. Van Houdt, 2012. "Matrix-Analytic Methods in Supply Chain Management: Recent Developments," Review of Business and Economic Literature, Intersentia, vol. 57(3), pages 283-302, September.
  5. Creemers, Stefan & Beliën, Jeroen & Lambrecht, Marc, 2012. "The optimal allocation of server time slots over different classes of patients," European Journal of Operational Research, Elsevier, vol. 219(3), pages 508-521.
  6. Stefan Creemers & Marc Lambrecht, 2010. "Queueing models for appointment-driven systems," Annals of Operations Research, Springer, vol. 178(1), pages 155-172, July.

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. Stefan Creemers, 2015. "Minimizing the expected makespan of a project with stochastic activity durations under resource constraints," Working Papers of Department of Decision Sciences and Information Management, Leuven 488396, KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven.

    Cited by:

    1. Salim Rostami & Stefan Creemers & Roel Leus, 2018. "New strategies for stochastic resource-constrained project scheduling," Journal of Scheduling, Springer, vol. 21(3), pages 349-365, June.
    2. Alessio Angius & András Horváth & Marcello Urgo, 2021. "A Kronecker Algebra Formulation for Markov Activity Networks with Phase-Type Distributions," Mathematics, MDPI, vol. 9(12), pages 1-22, June.
    3. Stefan Creemers, 2019. "The preemptive stochastic resource-constrained project scheduling problem," Post-Print hal-02992618, HAL.
    4. Morteza Davari & Erik Demeulemeester, 2019. "Important classes of reactions for the proactive and reactive resource-constrained project scheduling problem," Annals of Operations Research, Springer, vol. 274(1), pages 187-210, March.
    5. Qian Li & Sha Tao & Heap-Yih Chong & Zhijie Sasha Dong, 2018. "Robust Optimization for Integrated Construction Scheduling and Multiscale Resource Allocation," Complexity, Hindawi, vol. 2018, pages 1-17, July.
    6. Morteza Davari & Erik Demeulemeester, 2019. "The proactive and reactive resource-constrained project scheduling problem," Journal of Scheduling, Springer, vol. 22(2), pages 211-237, April.

  2. S. Creemers & E. Demeulemeester & S. van de Vonder, 2013. "A new approach for quantitative risk analysis," Post-Print hal-00846528, HAL.

    Cited by:

    1. Cui, Nanfang & Demeulemeester, Erik & Bie, Li, 2016. "Incorporation of activity sensitivity measures into buffer management to manage project schedule riskAuthor-Name: Hu, Xuejun," European Journal of Operational Research, Elsevier, vol. 249(2), pages 717-727.
    2. Ali Namazian & Siamak Haji Yakhchali & Vahidreza Yousefi & Jolanta Tamošaitienė, 2019. "Combining Monte Carlo Simulation and Bayesian Networks Methods for Assessing Completion Time of Projects under Risk," IJERPH, MDPI, vol. 16(24), pages 1-19, December.
    3. Junguang Zhang & Dan Wan, 2021. "Determination of early warning time window for bottleneck resource buffer," Annals of Operations Research, Springer, vol. 300(1), pages 289-305, May.
    4. Crispim, José & Fernandes, Jorge & Rego, Nazaré, 2020. "Customized risk assessment in military shipbuilding," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    5. Hermans, Ben & Leus, Roel & Looy, Bart Van, 2023. "Deciding on scheduling, secrecy, and patenting during the new product development process: The relevance of project planning models," Omega, Elsevier, vol. 116(C).
    6. F. Acebes & J. M. González-Varona & A. López-Paredes & J. Pajares, 2024. "Beyond probability-impact matrices in project risk management: A quantitative methodology for risk prioritisation," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    7. Xuejun Hu & Erik Demeulemeester & Nanfang Cui & Jianjiang Wang & Wendi Tian, 2017. "Improved critical chain buffer management framework considering resource costs and schedule stability," Flexible Services and Manufacturing Journal, Springer, vol. 29(2), pages 159-183, June.
    8. Tao, Liangyan & Wu, Desheng & Liu, Sifeng & Lambert, James H., 2017. "Schedule risk analysis for new-product development: The GERT method extended by a characteristic function," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 464-473.

  3. M. Lambrecht & S. Creemers & R. Boute & R. Leus, 2012. "Extending the production dice game," Post-Print hal-00800188, HAL.

    Cited by:

    1. Lan Luo & Charles L. Munson, 2022. "Game—Playing Goldratt’s Dice Game in Large Classes," INFORMS Transactions on Education, INFORMS, vol. 22(3), pages 195-215, May.
    2. Rosanna Cole & Brent Snider, 2020. "Rolling the Dice on Global Supply Chain Sustainability: A Total Cost of Ownership Simulation," INFORMS Transactions on Education, INFORMS, vol. 20(3), pages 165-176, May.

  4. S. Creemers & J. Beliën & M. Lambrecht, 2012. "The optimal allocation of server time slots over different classes of customers," Post-Print hal-00800190, HAL.

    Cited by:

    1. Shehadeh, Karmel S. & Cohn, Amy E.M. & Epelman, Marina A., 2019. "Analysis of models for the Stochastic Outpatient Procedure Scheduling Problem," European Journal of Operational Research, Elsevier, vol. 279(3), pages 721-731.
    2. Masoomeh Zeinalnezhad & Abdoulmohammad Gholamzadeh Chofreh & Feybi Ariani Goni & Jiří Jaromír Klemeš & Emelia Sari, 2020. "Simulation and Improvement of Patients’ Workflow in Heart Clinics during COVID-19 Pandemic Using Timed Coloured Petri Nets," IJERPH, MDPI, vol. 17(22), pages 1-18, November.
    3. De Vuyst, Stijn & Bruneel, Herwig & Fiems, Dieter, 2014. "Computationally efficient evaluation of appointment schedules in health care," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1142-1154.
    4. Miao Bai & Bjorn Berg & Esra Sisikoglu Sir & Mustafa Y. Sir, 2023. "Partially partitioned templating strategies for outpatient specialty practices," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 301-318, January.
    5. Vink, Wouter & Kuiper, Alex & Kemper, Benjamin & Bhulai, Sandjai, 2015. "Optimal appointment scheduling in continuous time: The lag order approximation method," European Journal of Operational Research, Elsevier, vol. 240(1), pages 213-219.
    6. Chen, Ting-Yu & Chang, Chien-Hung & Rachel Lu, Jui-fen, 2013. "The extended QUALIFLEX method for multiple criteria decision analysis based on interval type-2 fuzzy sets and applications to medical decision making," European Journal of Operational Research, Elsevier, vol. 226(3), pages 615-625.
    7. Almehdawe, Eman & Jewkes, Beth & He, Qi-Ming, 2013. "A Markovian queueing model for ambulance offload delays," European Journal of Operational Research, Elsevier, vol. 226(3), pages 602-614.
    8. Shuwan Zhu & Wenjuan Fan & Shanlin Yang & Jun Pei & Panos M. Pardalos, 2019. "Operating room planning and surgical case scheduling: a review of literature," Journal of Combinatorial Optimization, Springer, vol. 37(3), pages 757-805, April.
    9. Ahmadi-Javid, Amir & Jalali, Zahra & Klassen, Kenneth J, 2017. "Outpatient appointment systems in healthcare: A review of optimization studies," European Journal of Operational Research, Elsevier, vol. 258(1), pages 3-34.
    10. Wilson, Duncan T. & Hawe, Glenn I. & Coates, Graham & Crouch, Roger S., 2013. "A multi-objective combinatorial model of casualty processing in major incident response," European Journal of Operational Research, Elsevier, vol. 230(3), pages 643-655.
    11. Nguyen, Thu Ba T. & Sivakumar, Appa Iyer & Graves, Stephen C., 2018. "Capacity planning with demand uncertainty for outpatient clinics," European Journal of Operational Research, Elsevier, vol. 267(1), pages 338-348.
    12. Deceuninck, Matthias & Fiems, Dieter & De Vuyst, Stijn, 2018. "Outpatient scheduling with unpunctual patients and no-shows," European Journal of Operational Research, Elsevier, vol. 265(1), pages 195-207.
    13. Michael Samudra & Carla Van Riet & Erik Demeulemeester & Brecht Cardoen & Nancy Vansteenkiste & Frank E. Rademakers, 2016. "Scheduling operating rooms: achievements, challenges and pitfalls," Journal of Scheduling, Springer, vol. 19(5), pages 493-525, October.
    14. H. Bruneel & W. Rogiest & J. Walraevens & S. Wittevrongel, 2015. "Analysis of a discrete-time queue with general independent arrivals, general service demands and fixed service capacity," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 82(3), pages 285-315, December.

  5. R. Boute & P. Colen & S. Creemers & A. Noblesse & B. van Houdt, 2012. "Matrix-analytic methods in supply chain management: recent developments," Post-Print hal-00846532, HAL.

    Cited by:

    1. Hernan Caceres & Dongchen Yu & Alexander Nikolaev, 2018. "Evaluating shortfall distributions in periodic inventory systems with stochastic endogenous demands and lead-times," Annals of Operations Research, Springer, vol. 271(2), pages 405-427, December.

  6. S. Creemers & M. Lambrecht, 2010. "Queueing models for appointment-driven systems," Post-Print hal-00800195, HAL.

    Cited by:

    1. Tugba Cayirli & Pinar Dursun & Evrim D. Gunes, 2019. "An integrated analysis of capacity allocation and patient scheduling in presence of seasonal walk-ins," Flexible Services and Manufacturing Journal, Springer, vol. 31(2), pages 524-561, June.
    2. Izady, Navid, 2019. "An integrated approach to demand and capacity planning in outpatient clinics," European Journal of Operational Research, Elsevier, vol. 279(2), pages 645-656.
    3. Navid Izady, 2015. "Appointment Capacity Planning in Specialty Clinics: A Queueing Approach," Operations Research, INFORMS, vol. 63(4), pages 916-930, August.
    4. Chen, Shih-Pin, 2016. "Time value of delays in unreliable production systems with mixed uncertainties of fuzziness and randomness," European Journal of Operational Research, Elsevier, vol. 255(3), pages 834-844.
    5. Creemers, Stefan & Beliën, Jeroen & Lambrecht, Marc, 2012. "The optimal allocation of server time slots over different classes of patients," European Journal of Operational Research, Elsevier, vol. 219(3), pages 508-521.
    6. Creemers, Stefan & Lambrecht, Marc R. & Beliën, Jeroen & Van den Broeke, Maud, 2021. "Evaluation of appointment scheduling rules: A multi-performance measurement approach," Omega, Elsevier, vol. 100(C).

  7. S. Creemers & M. Lambrecht, 2010. "Modeling a hospital queueing network," Post-Print hal-00814195, HAL.

    Cited by:

    1. Jose Blanchet & Xinyun Chen, 2020. "Rates of Convergence to Stationarity for Reflected Brownian Motion," Mathematics of Operations Research, INFORMS, vol. 45(2), pages 660-681, May.

  8. S. Creemers & R. Leus & M. Lambrecht, 2010. "Scheduling Markovian PERT networks to maximize the net present value," Post-Print hal-00800198, HAL.

    Cited by:

    1. Hazır, Öncü & Ulusoy, Gündüz, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," International Journal of Production Economics, Elsevier, vol. 223(C).
    2. Eli Gutin & Daniel Kuhn & Wolfram Wiesemann, 2015. "Interdiction Games on Markovian PERT Networks," Management Science, INFORMS, vol. 61(5), pages 999-1017, May.
    3. Szmerekovsky, Joseph G. & Venkateshan, Prahalad & Simonson, Peter D., 2023. "Project scheduling under the threat of catastrophic disruption," European Journal of Operational Research, Elsevier, vol. 309(2), pages 784-794.
    4. Creemers, Stefan, 2018. "Maximizing the expected net present value of a project with phase-type distributed activity durations: An efficient globally optimal solution procedure," European Journal of Operational Research, Elsevier, vol. 267(1), pages 16-22.
    5. Etgar, Ran & Gelbard, Roy & Cohen, Yuval, 2017. "Optimizing version release dates of research and development long-term processes," European Journal of Operational Research, Elsevier, vol. 259(2), pages 642-653.
    6. Öncü Hazir & Gündüz Ulusoy, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," Post-Print hal-02898162, HAL.
    7. Salim Rostami & Stefan Creemers & Roel Leus, 2018. "New strategies for stochastic resource-constrained project scheduling," Journal of Scheduling, Springer, vol. 21(3), pages 349-365, June.
    8. Creemers, Stefan & De Reyck, Bert & Leus, Roel, 2015. "Project planning with alternative technologies in uncertain environments," European Journal of Operational Research, Elsevier, vol. 242(2), pages 465-476.
    9. Creemers, Stefan, 2019. "The preemptive stochastic resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 277(1), pages 238-247.
    10. Hermans, Ben & Leus, Roel & Looy, Bart Van, 2023. "Deciding on scheduling, secrecy, and patenting during the new product development process: The relevance of project planning models," Omega, Elsevier, vol. 116(C).
    11. Creemers, Stefan, 2018. "Moments and distribution of the net present value of a serial project," European Journal of Operational Research, Elsevier, vol. 267(3), pages 835-848.
    12. Fatemeh Rezaei & Amir Abbas Najafi & Erik Demeulemeester & Reza Ramezanian, 2024. "A stochastic bi-objective project scheduling model under failure of activities," Annals of Operations Research, Springer, vol. 338(1), pages 453-476, July.
    13. Stefan Creemers, 2019. "The preemptive stochastic resource-constrained project scheduling problem," Post-Print hal-02992618, HAL.
    14. Rostami, Salim & Creemers, Stefan & Wei, Wenchao & Leus, Roel, 2019. "Sequential testing of n-out-of-n systems: Precedence theorems and exact methods," European Journal of Operational Research, Elsevier, vol. 274(3), pages 876-885.
    15. Morteza Davari & Erik Demeulemeester, 2019. "The proactive and reactive resource-constrained project scheduling problem," Journal of Scheduling, Springer, vol. 22(2), pages 211-237, April.
    16. Yangyang Liang & Nanfang Cui & Tian Wang & Erik Demeulemeester, 2019. "Robust resource-constrained max-NPV project scheduling with stochastic activity duration," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(1), pages 219-254, March.

  9. S. Creemers, 2009. "Appointment-driven queueing systems. PhD Dissertation," Post-Print hal-00814186, HAL.

    Cited by:

    1. Creemers, Stefan & Beliën, Jeroen & Lambrecht, Marc, 2012. "The optimal allocation of server time slots over different classes of patients," European Journal of Operational Research, Elsevier, vol. 219(3), pages 508-521.
    2. Creemers, Stefan & Lambrecht, Marc R. & Beliën, Jeroen & Van den Broeke, Maud, 2021. "Evaluation of appointment scheduling rules: A multi-performance measurement approach," Omega, Elsevier, vol. 100(C).

  10. S. Creemers & M. Lambrecht, 2009. "An advanced queueing model to analyze appointment-driven service systems," Post-Print hal-00800200, HAL.

    Cited by:

    1. Elvan Gökalp & Nalan Gülpınar & Xuan Vinh Doan, 2020. "Capacity Planning for Networks of Stem‐Cell Donation Centers under Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 281-297, February.
    2. Xuanzhu Fan & Jiafu Tang & Chongjun Yan, 2020. "Appointment scheduling optimization with two stages diagnosis for clinic outpatient," Computational Statistics, Springer, vol. 35(2), pages 469-490, June.
    3. De Vuyst, Stijn & Bruneel, Herwig & Fiems, Dieter, 2014. "Computationally efficient evaluation of appointment schedules in health care," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1142-1154.
    4. Haughton, Michael & Sapna Isotupa, K.P., 2012. "Scheduling commercial vehicle queues at a Canada–US border crossing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 190-201.
    5. Creemers, Stefan & Beliën, Jeroen & Lambrecht, Marc, 2012. "The optimal allocation of server time slots over different classes of patients," European Journal of Operational Research, Elsevier, vol. 219(3), pages 508-521.
    6. Creemers, Stefan & Lambrecht, Marc R. & Beliën, Jeroen & Van den Broeke, Maud, 2021. "Evaluation of appointment scheduling rules: A multi-performance measurement approach," Omega, Elsevier, vol. 100(C).

Articles

  1. De Boeck, Liesje & Beliën, Jeroen & Creemers, Stefan, 2016. "A column generation approach for solving the examination-timetabling problemAuthor-Name: Woumans, Gert," European Journal of Operational Research, Elsevier, vol. 253(1), pages 178-194.

    Cited by:

    1. Ceschia, Sara & Di Gaspero, Luca & Schaerf, Andrea, 2023. "Educational timetabling: Problems, benchmarks, and state-of-the-art results," European Journal of Operational Research, Elsevier, vol. 308(1), pages 1-18.
    2. Pasquale Avella & Maurizio Boccia & Carlo Mannino & Sandro Viglione, 2022. "Practice Summary: Solving the External Candidates Exam Schedule in Norway," Interfaces, INFORMS, vol. 52(2), pages 226-231, March.
    3. Álvaro García-Sánchez & Araceli Hernández & Eduardo Caro & Gonzalo Jiménez, 2019. "Universidad Politécnica de Madrid Uses Integer Programming for Scheduling Weekly Assessment Activities," Interfaces, INFORMS, vol. 49(2), pages 104-116, March.
    4. Jorge M. Cruz-Duarte & José C. Ortiz-Bayliss & Iván Amaya & Yong Shi & Hugo Terashima-Marín & Nelishia Pillay, 2020. "Towards a Generalised Metaheuristic Model for Continuous Optimisation Problems," Mathematics, MDPI, vol. 8(11), pages 1-23, November.
    5. Mats Carlsson & Sara Ceschia & Luca Gaspero & Rasmus Ørnstrup Mikkelsen & Andrea Schaerf & Thomas Jacob Riis Stidsen, 2023. "Exact and metaheuristic methods for a real-world examination timetabling problem," Journal of Scheduling, Springer, vol. 26(4), pages 353-367, August.

  2. Creemers, Stefan & De Reyck, Bert & Leus, Roel, 2015. "Project planning with alternative technologies in uncertain environments," European Journal of Operational Research, Elsevier, vol. 242(2), pages 465-476.

    Cited by:

    1. Hazır, Öncü & Ulusoy, Gündüz, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," International Journal of Production Economics, Elsevier, vol. 223(C).
    2. Xiong, Jian & Leus, Roel & Yang, Zhenyu & Abbass, Hussein A., 2016. "Evolutionary multi-objective resource allocation and scheduling in the Chinese navigation satellite system project," European Journal of Operational Research, Elsevier, vol. 251(2), pages 662-675.
    3. Szmerekovsky, Joseph G. & Venkateshan, Prahalad & Simonson, Peter D., 2023. "Project scheduling under the threat of catastrophic disruption," European Journal of Operational Research, Elsevier, vol. 309(2), pages 784-794.
    4. Kaut, Michal & Vaagen, Hajnalka & Wallace, Stein W., 2021. "The combined impact of stochastic and correlated activity durations and design uncertainty on project plans," International Journal of Production Economics, Elsevier, vol. 233(C).
    5. Creemers, Stefan, 2018. "Maximizing the expected net present value of a project with phase-type distributed activity durations: An efficient globally optimal solution procedure," European Journal of Operational Research, Elsevier, vol. 267(1), pages 16-22.
    6. Öncü Hazir & Gündüz Ulusoy, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," Post-Print hal-02898162, HAL.
    7. Creemers, Stefan, 2019. "The preemptive stochastic resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 277(1), pages 238-247.
    8. Bordley, Robert F. & Keisler, Jeffrey M. & Logan, Tom M., 2019. "Managing projects with uncertain deadlines," European Journal of Operational Research, Elsevier, vol. 274(1), pages 291-302.
    9. Hermans, Ben & Leus, Roel & Looy, Bart Van, 2023. "Deciding on scheduling, secrecy, and patenting during the new product development process: The relevance of project planning models," Omega, Elsevier, vol. 116(C).
    10. Aditya Vedantam & Ananth Iyer, 2021. "Capacity Investment under Bayesian Information Updates at Reporting Periods: Model and Application," Production and Operations Management, Production and Operations Management Society, vol. 30(8), pages 2707-2725, August.
    11. Servranckx, Tom & Vanhoucke, Mario, 2019. "A tabu search procedure for the resource-constrained project scheduling problem with alternative subgraphs," European Journal of Operational Research, Elsevier, vol. 273(3), pages 841-860.
    12. Creemers, Stefan, 2018. "Moments and distribution of the net present value of a serial project," European Journal of Operational Research, Elsevier, vol. 267(3), pages 835-848.
    13. Bruni, Maria Elena & Hazır, Öncü, 2024. "A risk-averse distributionally robust project scheduling model to address payment delays," European Journal of Operational Research, Elsevier, vol. 318(2), pages 398-407.
    14. Fatemeh Rezaei & Amir Abbas Najafi & Erik Demeulemeester & Reza Ramezanian, 2024. "A stochastic bi-objective project scheduling model under failure of activities," Annals of Operations Research, Springer, vol. 338(1), pages 453-476, July.
    15. Stefan Creemers, 2019. "The preemptive stochastic resource-constrained project scheduling problem," Post-Print hal-02992618, HAL.
    16. Rostami, Salim & Creemers, Stefan & Wei, Wenchao & Leus, Roel, 2019. "Sequential testing of n-out-of-n systems: Precedence theorems and exact methods," European Journal of Operational Research, Elsevier, vol. 274(3), pages 876-885.
    17. Wenhui Zhao & Nicholas G. Hall & Zhixin Liu, 2020. "Project Evaluation and Selection with Task Failures," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 428-446, February.
    18. He-Yau Kang & Amy H. I. Lee & Tzu-Ting Huang, 2016. "Project Management for a Wind Turbine Construction by Applying Fuzzy Multiple Objective Linear Programming Models," Energies, MDPI, vol. 9(12), pages 1-15, December.

  3. Stefan Creemers & Erik Demeulemeester & Stijn Vonder, 2014. "A new approach for quantitative risk analysis," Annals of Operations Research, Springer, vol. 213(1), pages 27-65, February.
    See citations under working paper version above.
  4. R.N. Boute & P.J. Colen & S. Creemers & A. Noblesse & B. Van Houdt, 2012. "Matrix-Analytic Methods in Supply Chain Management: Recent Developments," Review of Business and Economic Literature, Intersentia, vol. 57(3), pages 283-302, September.
    See citations under working paper version above.
  5. Creemers, Stefan & Beliën, Jeroen & Lambrecht, Marc, 2012. "The optimal allocation of server time slots over different classes of patients," European Journal of Operational Research, Elsevier, vol. 219(3), pages 508-521.

    Cited by:

    1. Shehadeh, Karmel S. & Cohn, Amy E.M. & Epelman, Marina A., 2019. "Analysis of models for the Stochastic Outpatient Procedure Scheduling Problem," European Journal of Operational Research, Elsevier, vol. 279(3), pages 721-731.
    2. Masoomeh Zeinalnezhad & Abdoulmohammad Gholamzadeh Chofreh & Feybi Ariani Goni & Jiří Jaromír Klemeš & Emelia Sari, 2020. "Simulation and Improvement of Patients’ Workflow in Heart Clinics during COVID-19 Pandemic Using Timed Coloured Petri Nets," IJERPH, MDPI, vol. 17(22), pages 1-18, November.
    3. De Vuyst, Stijn & Bruneel, Herwig & Fiems, Dieter, 2014. "Computationally efficient evaluation of appointment schedules in health care," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1142-1154.
    4. Miao Bai & Bjorn Berg & Esra Sisikoglu Sir & Mustafa Y. Sir, 2023. "Partially partitioned templating strategies for outpatient specialty practices," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 301-318, January.
    5. Vink, Wouter & Kuiper, Alex & Kemper, Benjamin & Bhulai, Sandjai, 2015. "Optimal appointment scheduling in continuous time: The lag order approximation method," European Journal of Operational Research, Elsevier, vol. 240(1), pages 213-219.
    6. Chen, Ting-Yu & Chang, Chien-Hung & Rachel Lu, Jui-fen, 2013. "The extended QUALIFLEX method for multiple criteria decision analysis based on interval type-2 fuzzy sets and applications to medical decision making," European Journal of Operational Research, Elsevier, vol. 226(3), pages 615-625.
    7. Almehdawe, Eman & Jewkes, Beth & He, Qi-Ming, 2013. "A Markovian queueing model for ambulance offload delays," European Journal of Operational Research, Elsevier, vol. 226(3), pages 602-614.
    8. Shuwan Zhu & Wenjuan Fan & Shanlin Yang & Jun Pei & Panos M. Pardalos, 2019. "Operating room planning and surgical case scheduling: a review of literature," Journal of Combinatorial Optimization, Springer, vol. 37(3), pages 757-805, April.
    9. Ahmadi-Javid, Amir & Jalali, Zahra & Klassen, Kenneth J, 2017. "Outpatient appointment systems in healthcare: A review of optimization studies," European Journal of Operational Research, Elsevier, vol. 258(1), pages 3-34.
    10. Wilson, Duncan T. & Hawe, Glenn I. & Coates, Graham & Crouch, Roger S., 2013. "A multi-objective combinatorial model of casualty processing in major incident response," European Journal of Operational Research, Elsevier, vol. 230(3), pages 643-655.
    11. Nguyen, Thu Ba T. & Sivakumar, Appa Iyer & Graves, Stephen C., 2018. "Capacity planning with demand uncertainty for outpatient clinics," European Journal of Operational Research, Elsevier, vol. 267(1), pages 338-348.
    12. Deceuninck, Matthias & Fiems, Dieter & De Vuyst, Stijn, 2018. "Outpatient scheduling with unpunctual patients and no-shows," European Journal of Operational Research, Elsevier, vol. 265(1), pages 195-207.
    13. Michael Samudra & Carla Van Riet & Erik Demeulemeester & Brecht Cardoen & Nancy Vansteenkiste & Frank E. Rademakers, 2016. "Scheduling operating rooms: achievements, challenges and pitfalls," Journal of Scheduling, Springer, vol. 19(5), pages 493-525, October.
    14. H. Bruneel & W. Rogiest & J. Walraevens & S. Wittevrongel, 2015. "Analysis of a discrete-time queue with general independent arrivals, general service demands and fixed service capacity," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 82(3), pages 285-315, December.

  6. Stefan Creemers & Marc Lambrecht, 2010. "Queueing models for appointment-driven systems," Annals of Operations Research, Springer, vol. 178(1), pages 155-172, July.
    See citations under working paper version above.

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NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CMP: Computational Economics (1) 2016-11-06
  2. NEP-PPM: Project, Program and Portfolio Management (1) 2016-10-23

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