Abstract
This chapter discusses the limitations of the models we have discussed throughout the book, and uses these limitations to characterize challenging future research directions. In doing so, we discuss the relation of the models we have considered to practice, and their potential for use in practical applications. We also consider the potential for expanding the definition of demand flexibility, as well as the technical difficulties inherent in meeting the challenges implied by potential future research avenues.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ağralı S, Geunes J (2009) A Single-Resource Allocation Problem with Poisson Resource Requirements. Optimization Letters 3:559–571
Balakrishnan A, Geunes J (2000) Requirements Planning with Substitutions: Exploiting Bill-of-Materials Flexibility in Production Planning. Manufacturing & Service Operations Management 2(2):166–185
Barnhart C, Cohn A (1998) The Stochastic Knapsack Problem with Random Weights: A Heuristic Approach to Robust Transportation Planning. In: Proceedings of Tristan III, Puerto Rico, 17–23
Ervolina T, Ettl M, Lee Y, Peters D (2009) Managing Product Availability in an Assemble-to-Order Supply Chain with Multiple Customer Segments. OR Spectrum 31:257–280
Geunes J, Levi R, Romeijn H, Shmoys D (2011) Approximation Algorithms for Supply Chain Planning and Logistics Problems with Market Choice. Mathematical Programming, Series A 130(1):85–106
Kleywegt A, Shapiro A, Homem-de-Mello T (2001) The sample average approximation method for stochastic discrete optimization. SIAM Journal of Optimization 12(2):479–502
Lee C, Çetinkaya S, Wagelmans A (2001) A Dynamic Lot Sizing Model with Demand Time Windows. Management Science 47(10):1384–1395
Levi R, Roundy R, Shmoys D, Sviridenko M (2008) A Constant Approximation Algorithm for the One-Warehouse Multi-Retailer Problem. Management Science 54:763–776
Merzifonluoğlu Y, Geunes J (2006) Uncapacitated Production and Location Planning Models with Demand Fulfillment Flexibility. International Journal of Production Economics 102:199–216
MerzifonluoÄŸlu Y, Geunes J, Romeijn H (2011) The Static Stochastic Knapsack Problem with Normally Distributed Item Sizes. Mathematical Programming, Series A (forthcoming)
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2012 Joseph Geunes
About this chapter
Cite this chapter
Geunes, J. (2012). Research Challenges in Supply Chain Planning with Flexible Demand. In: Demand Flexibility in Supply Chain Planning. SpringerBriefs in Optimization. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9347-2_9
Download citation
DOI: https://doi.org/10.1007/978-1-4419-9347-2_9
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-9346-5
Online ISBN: 978-1-4419-9347-2
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)