IDEAS home Printed from https://ideas.repec.org/a/vrs/founma/v6y2014i2p31-42n3.html
   My bibliography  Save this article

Towards an Analysis Methodology for Identifying Root Causes of Poor Delivery Performance

Author

Listed:
  • Nielsen Peter

    (Aalborg University, Department of Mechanical and Manufacturing Engineering, Denmark)

  • Do Ngoc Anh Dung

    (Aalborg University, Department of Mechanical and Manufacturing Engineering, Denmark)

  • Eriksen Thomas

    (CS BtB Operations Center, Telenor ASA Group, Denmark)

  • Nielsen Izabela

    (Aalborg University, Department of Mechanical and Manufacturing Engineering, Denmark)

Abstract

This paper presents an analysis methodology for establishing the demand stability of the planning environment faced by a company and the impact on the stability from changes to sales order. The methodology focuses on three critical planning parameters derived from customer orders: product mix, volume, and order sizes. Furthermore, the methodology links the delivery performance of a company to the changes made to sales orders. Based on a test case application of the methodology, it is concluded that by accepting changes, the demand faced by the case company has become more unstable on product mix, volume, and the number of order lines per period, while some added stability has been achieved with regards to the order size distributions. Ultimately, by applying the methodology to the case company, it is found that by changing the sales orders, the company does not improve the delivery performance.

Suggested Citation

  • Nielsen Peter & Do Ngoc Anh Dung & Eriksen Thomas & Nielsen Izabela, 2014. "Towards an Analysis Methodology for Identifying Root Causes of Poor Delivery Performance," Foundations of Management, Sciendo, vol. 6(2), pages 31-42, December.
    • Handle: RePEc:vrs:founma:v:6:y:2014:i:2:p:31-42:n:3
    DOI: 10.1515/fman-2015-0009
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/fman-2015-0009
    Download Restriction: no
    File URL: https://libkey.io/10.1515/fman-2015-0009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Akkerman, Renzo & van Donk, Dirk Pieter, 2009. "Product mix variability with correlated demand in two-stage food manufacturing with intermediate storage," International Journal of Production Economics, Elsevier, vol. 121(2), pages 313-322, October.
    2. Hax, Arnoldo C. & Meal, Harlan C., 1973. "Hierarchical integration of production planning and scheduling," Working papers 656-73., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    3. Elbashir, Mohamed Z. & Collier, Philip A. & Davern, Michael J., 2008. "Measuring the effects of business intelligence systems: The relationship between business process and organizational performance," International Journal of Accounting Information Systems, Elsevier, vol. 9(3), pages 135-153.
    4. Gong, Zhejun & Hu, Sun, 2008. "An economic evaluation model of product mix flexibility," Omega, Elsevier, vol. 36(5), pages 852-864, October.
    5. Wijngaard, J., 1982. "On aggregation in production planning," Engineering Costs and Production Economics, Elsevier, vol. 6(1), pages 259-265, April.
    6. Tsubone, Hitoshi & Furuta, Hirohisa, 1996. "Replanning timing in hierarchical production planning," International Journal of Production Economics, Elsevier, vol. 44(1-2), pages 53-61, June.
    7. Feelders, A. J. & Daniels, H. A. M., 2001. "A general model for automated business diagnosis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 623-637, May.
    8. de Groote, Xavier, 1994. "Flexibility and product variety in lot-sizing models," European Journal of Operational Research, Elsevier, vol. 75(2), pages 264-274, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gahm, Christian & Uzunoglu, Aykut & Wahl, Stefan & Ganschinietz, Chantal & Tuma, Axel, 2022. "Applying machine learning for the anticipation of complex nesting solutions in hierarchical production planning," European Journal of Operational Research, Elsevier, vol. 296(3), pages 819-836.
    2. Zabaleta, Mercedes Elena Martínez & Luna, Raúl Enrique Rodríguez, 2023. "Inteligencia empresarial y su rol en la generación de valor en los procesos de negocios," Revista Tendencias, Universidad de Narino, vol. 24(1), pages 226-251, January.
    3. Peters, Matt D. & Wieder, Bernhard & Sutton, Steve G. & Wakefield, James, 2016. "Business intelligence systems use in performance measurement capabilities: Implications for enhanced competitive advantage," International Journal of Accounting Information Systems, Elsevier, vol. 21(C), pages 1-17.
    4. Mustafa Doğru & A. Kok & G. Houtum, 2013. "Newsvendor characterizations for one-warehouse multi-retailer inventory systems with discrete demand under the balance assumption," 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. 21(3), pages 541-559, September.
    5. Oliver KOPF & Daniel HOMOCIANU, 2016. "The Business Intelligence Based Business Process Management Challenge," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 20(1), pages 7-19.
    6. Hallgren, Mattias & Olhager, Jan, 2009. "Flexibility configurations: Empirical analysis of volume and product mix flexibility," Omega, Elsevier, vol. 37(4), pages 746-756, August.
    7. Mahdi Salehi, 2011. "A study of the barriers of implementation of accounting information system: Case of listed companies in Tehran Stock Exchange," Journal of Economics and Behavioral Studies, AMH International, vol. 2(2), pages 76-85.
    8. Jiang, Li & Geunes, Joseph, 2006. "Impact of introducing make-to-order options in a make-to-stock environment," European Journal of Operational Research, Elsevier, vol. 174(2), pages 724-743, October.
    9. Francesco Capalbo & Adelaide Ippolito & Margherita Smarra & Marco Sorrentino, 2023. "Il ruolo strategico dei Sistemi di Misurazione delle Performance nelle aziende sanitarie. Un caso studio," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2023(1), pages 119-142.
    10. Wang, John & Yan, Ruiliang & Hollister, Kimberly & Zhu, Dan, 2008. "A historic review of management science research in China," Omega, Elsevier, vol. 36(6), pages 919-932, December.
    11. Hasuike, Takashi & Ishii, Hiroaki, 2009. "On flexible product-mix decision problems under randomness and fuzziness," Omega, Elsevier, vol. 37(4), pages 770-787, August.
    12. Davern, Michael J. & Wilkin, Carla L., 2010. "Towards an integrated view of IT value measurement," International Journal of Accounting Information Systems, Elsevier, vol. 11(1), pages 42-60.
    13. Mayank Kejriwal & Pedro Szekely, 2019. "myDIG: Personalized Illicit Domain-Specific Knowledge Discovery with No Programming," Future Internet, MDPI, vol. 11(3), pages 1-23, March.
    14. Laura Barna & Bogdan Ionescu, 2021. "The Impact Of Accounting Information Systems On Understanding Business Processes," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 164-170, July.
    15. Payman Jula & Robert Leachman, 2008. "Coordinating decentralized local schedulers in complex supply chain manufacturing," Annals of Operations Research, Springer, vol. 161(1), pages 123-147, July.
    16. Acheampong Owusu, 2017. "Business intelligence systems and bank performance in Ghana: The balanced scorecard approach," Cogent Business & Management, Taylor & Francis Journals, vol. 4(1), pages 1364056-136, January.
    17. Dow, Kevin E. & Watson, Marcia Weidenmier & Shea, Vincent J., 2017. "Riding the waves of technology through the decades: The relation between industry-level information technology intensity and the cost of equity capital," International Journal of Accounting Information Systems, Elsevier, vol. 25(C), pages 18-28.
    18. Peters, Twan & Işık, Öykü & Tona, Olgerta & Popovič, Aleš, 2016. "How system quality influences mobile BI use: The mediating role of engagement," International Journal of Information Management, Elsevier, vol. 36(5), pages 773-783.
    19. Mingxing Li & Ray Y. Zhong & Ting Qu & George Q. Huang, 2022. "Spatial–temporal out-of-order execution for advanced planning and scheduling in cyber-physical factories," Journal of Intelligent Manufacturing, Springer, vol. 33(5), pages 1355-1372, June.
    20. Ocampo y Vilas, Carlos & Vandaele, Nico, 2002. "A cost and operations based product heterogeneity index," International Journal of Production Economics, Elsevier, vol. 79(1), pages 45-55, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:founma:v:6:y:2014:i:2:p:31-42:n:3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.