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A clearing function based bid-price approach to integrated order acceptance and release decisions

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  • Guhlich, Hendrik
  • Fleischmann, Moritz
  • Mönch, Lars
  • Stolletz, Raik

Abstract

In this paper, we consider the order acceptance and order release decisions of a manufacturer facing order-specific demand. In contrast to previous literature, both demand and production are stochastic. We develop a novel bid-price-based revenue management approach to solve this decision problem. The production system is modeled using clearing functions to capture the non-linear inter-dependency of workload and lead times in stochastic production systems. In extant literature, a common approach to cope with variability in a production system is to introduce fixed, workload-independent lead times. We show in a numerical study that our newly developed approach based on clearing functions clearly outperforms this fixed lead time approach.

Suggested Citation

  • Guhlich, Hendrik & Fleischmann, Moritz & Mönch, Lars & Stolletz, Raik, 2018. "A clearing function based bid-price approach to integrated order acceptance and release decisions," European Journal of Operational Research, Elsevier, vol. 268(1), pages 243-254.
  • Handle: RePEc:eee:ejores:v:268:y:2018:i:1:p:243-254
    DOI: 10.1016/j.ejor.2018.01.006
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    References listed on IDEAS

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    1. Chevalier, Philippe & Lamas, Alejandro & Lu, Liang & Mlinar, Tanja, 2015. "Revenue management for operations with urgent orders," European Journal of Operational Research, Elsevier, vol. 240(2), pages 476-487.
    2. Hubert Missbauer & Reha Uzsoy, 2011. "Optimization Models of Production Planning Problems," International Series in Operations Research & Management Science, in: Karl G. Kempf & Pınar Keskinocak & Reha Uzsoy (ed.), Planning Production and Inventories in the Extended Enterprise, chapter 0, pages 437-507, Springer.
    3. Missbauer, Hubert, 2011. "Order release planning with clearing functions: A queueing-theoretical analysis of the clearing function concept," International Journal of Production Economics, Elsevier, vol. 131(1), pages 399-406, May.
    4. Cai, X. & Lum, V. Y. S. & Chan, J. M. T., 1997. "Scheduling about a common due date with kob-dependent asymmetric earliness and tardiness penalties," European Journal of Operational Research, Elsevier, vol. 98(1), pages 154-168, April.
    5. A. S. C. Ehrenberg, 1959. "The Pattern of Consumer Purchases," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 8(1), pages 26-41, March.
    6. Kalyan Talluri & Garrett van Ryzin, 1999. "A Randomized Linear Programming Method for Computing Network Bid Prices," Transportation Science, INFORMS, vol. 33(2), pages 207-216, May.
    7. Framinan, Jose M. & Perez-Gonzalez, Paz, 2015. "On heuristic solutions for the stochastic flowshop scheduling problem," European Journal of Operational Research, Elsevier, vol. 246(2), pages 413-420.
    8. Nadjib Brahimi & Tarik Aouam & El-Houssaine Aghezzaf, 2015. "Integrating order acceptance decisions with flexible due dates in a production planning model with load-dependent lead times," International Journal of Production Research, Taylor & Francis Journals, vol. 53(12), pages 3810-3822, June.
    9. Baker, Kenneth R. & Altheimer, Dominik, 2012. "Heuristic solution methods for the stochastic flow shop problem," European Journal of Operational Research, Elsevier, vol. 216(1), pages 172-177.
    10. Tarik Aouam & Reha Uzsoy, 2015. "Zero-order production planning models with stochastic demand and workload-dependent lead times," International Journal of Production Research, Taylor & Francis Journals, vol. 53(6), pages 1661-1679, March.
    11. Lars Mönch & Reha Uzsoy & John W. Fowler, 2018. "A survey of semiconductor supply chain models part I: semiconductor supply chains, strategic network design, and supply chain simulation," International Journal of Production Research, Taylor & Francis Journals, vol. 56(13), pages 4524-4545, July.
    12. Baker, Kenneth R., 2014. "Minimizing earliness and tardiness costs in stochastic scheduling," European Journal of Operational Research, Elsevier, vol. 236(2), pages 445-452.
    13. Wu, Xianyi & Zhou, Xian, 2008. "Stochastic scheduling to minimize expected maximum lateness," European Journal of Operational Research, Elsevier, vol. 190(1), pages 103-115, October.
    14. Quante, R. & Fleischmann, M. & Meyr, H., 2009. "A Stochastic Dynamic Programming Approach to Revenue Management in a Make-to-Stock Production System," ERIM Report Series Research in Management ERS-2009-015-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    15. Missbauer, Hubert, 2009. "Models of the transient behaviour of production units to optimize the aggregate material flow," International Journal of Production Economics, Elsevier, vol. 118(2), pages 387-397, April.
    16. William Millhiser & Apostolos Burnetas, 2013. "Optimal admission control in series production systems with blocking," IISE Transactions, Taylor & Francis Journals, vol. 45(10), pages 1035-1047.
    17. Winands, E.M.M. & Adan, I.J.B.F. & van Houtum, G.J., 2011. "The stochastic economic lot scheduling problem: A survey," European Journal of Operational Research, Elsevier, vol. 210(1), pages 1-9, April.
    18. Long Gao & Susan H. Xu & Michael O. Ball, 2012. "Managing an Available-to-Promise Assembly System with Dynamic Short-Term Pseudo-Order Forecast," Management Science, INFORMS, vol. 58(4), pages 770-790, April.
    19. Mula, J. & Poler, R. & Garcia-Sabater, J.P. & Lario, F.C., 2006. "Models for production planning under uncertainty: A review," International Journal of Production Economics, Elsevier, vol. 103(1), pages 271-285, September.
    20. Julia Pahl & Stefan Voß & David Woodruff, 2007. "Production planning with load dependent lead times: an update of research," Annals of Operations Research, Springer, vol. 153(1), pages 297-345, September.
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