×

Robust inventory financing model with partial information. (English) Zbl 1437.90023

Summary: Given current fast-changing market conditions and difficulty in obtaining financing for small- and medium-sized enterprises, this paper studies the robust inventory financing model under partial information, that is, where the demand distribution is partly known. Two demand information cases are discussed: (1) the mean and variance and (2) the support of the demand distribution. In this setting, the robust method that maximizes the worst-case profit and minimizes the firm’s maximum possible regret of not acting optimally would be used to formulate the optimal sales quantity. We show that the approach used in this paper is tractable, and we provide an explicit expression for the robust optimal policy. We then use numerical examples to compare the firm’s losses under two demand information cases with those occurring under demand certainty. More importantly, the numerical examples indicate that our robust inventory financing model can obtain a robust but not conservative solution.

MSC:

90B05 Inventory, storage, reservoirs
90B50 Management decision making, including multiple objectives

References:

[1] Buzacott, J. A.; Zhang, R. Q., Inventory management with asset-based financing, Management Science, 50, 9, 1274-1292 (2004) · doi:10.1287/mnsc.1040.0278
[2] Xu, J.; Fu, K., Optimal single-period inventory financing decisions with stochastic demand, Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM ’10) · doi:10.1109/IEEM.2010.5674349
[3] Jokivuolle, E.; Peura, S., Incorporating collateral value uncertainty in loss given default estimates and loan-to-value ratios, European Financial Management, 9, 3, 299-314 (2003)
[4] Cossin, D.; Huang, Z. J.; Aunon, N. D., A Framework for Collateral Risk Control Determination. A Framework for Collateral Risk Control Determination, European Central Bank Working Paper Series (2003)
[5] Babich, V.; Aydin, G.; Brunet, P.; Keppo, J.; Saigal, R., Risk, financing and the optimal number of supplier, Working Paper (2008), University of Michigan
[6] Li, L.; Shubik, M.; Sobel, M. J., Control of dividends, capital subscriptions, and physical inventories, Working Paper (2009), Weatherhead School of Management, Case Western Reserve University
[7] Dada, M.; Hu, Q., Financing newsvendor inventory, Operations Research Letters, 36, 5, 569-573 (2008) · Zbl 1151.91497 · doi:10.1016/j.orl.2008.06.004
[8] Suo, M. Q.; Li, Y. P.; Huang, G. H.; Deng, D. L.; Li, Y. F., Electric power system planning under uncertainty using inexact inventory nonlinear programming method, Journal of Environmental Informatics, 22, 1, 49-67 (2013) · doi:10.3808/jei.201300245
[9] Xu, H., Managing production and procurement through option contracts in supply chains with random yield, International Journal of Production Economics, 126, 2, 306-313 (2010) · doi:10.1016/j.ijpe.2010.04.007
[10] Lari, K. S., A note on baffle orientation in long ponds, Journal of Environmental Informatics, 21, 2, 136-141 (2013)
[11] Gupta, D.; Wang, L., A stochastic inventory model with trade credit, Manufacturing & Service Operations Management, 11, 1, 4-18 (2009) · doi:10.1287/msom.1070.0191
[12] Lee, C. H.; Rhee, B.-D., Channel coordination using product returns for a supply chain with stochastic salvage capacity, European Journal of Operational Research, 177, 1, 214-238 (2007) · Zbl 1102.90350 · doi:10.1016/j.ejor.2005.10.044
[13] Scarf, H.; Arrow, K.; Karlin, S.; Scarf, H., A min-max solution of an inventory problem, Studies in the Mathematical Theory of Inventory and Production, 201-209 (1958)
[14] Gallego, G.; Moon, I., The distribution free newsboy problem: review and extensions, Journal of the Operational Research Society, 44, 8, 825-834 (1993) · Zbl 0781.90029
[15] Mills, E. S., Uncertainty and price theory, The Quarterly Journal of Economics, 73, 1, 116-130 (1959)
[16] Petruzzi, N. C.; Dada, M., Pricing and the newsvendor problem: a review with extensions, Operations Research, 47, 2, 183-194 (1999) · Zbl 1005.90546
[17] Silver, E. A.; Perterson, R., Decision Systems for Inventory Management and Production Planning (1985), New York, NY, USA: John Wiley & Sons, New York, NY, USA
[18] Scarf, H., Bayes solutions of the statistical inventory problem, The Annals of Mathematical Statistics, 30, 2, 490-508 (1959) · Zbl 0089.36801 · doi:10.1214/aoms/1177706264
[19] Godfrey, G. A.; Powell, W. B., An adaptive, distribution-free algorithm for the newsvendor problem with censored demands, with applications to inventory and distribution, Management Science, 47, 8, 1101-1112 (2001) · Zbl 1232.90053
[20] Levi, R.; Roundy, R.; Schmoys, D. B., Provably near-optimal sample-based policies for stochastic inventory control models, Cornell Working Paper (2005)
[21] Savage, L. J., The theory of statistical decisions, Journal of the American Statistical Association, 46, 253, 55-67 (1951) · Zbl 0042.14302
[22] Vairaktarakis, G. L., Robust multi-item newsboy models with a budget constraint, International Journal of Production Economics, 66, 3, 213-226 (2000) · doi:10.1016/S0925-5273(99)00129-2
[23] Yue, J.; Chen, B.; Wang, M.-C., Expected value of distribution information for the newsvendor problem, Operations Research, 54, 6, 1128-1136 (2006) · Zbl 1167.90364 · doi:10.1287/opre.1060.0318
[24] Perakis, G.; Roeis, G., Regret in the newsvendor model with partial information, Operations Research, 56, 1, 188-203 (2008) · Zbl 1167.90350 · doi:10.1287/opre.1070.0486
[25] Lin, J.; Ng, T. S., Robust multi-market newsvendor models with interval demand data, European Journal of Operational Research, 212, 2, 361-373 (2011) · Zbl 1237.90016 · doi:10.1016/j.ejor.2011.01.053
[26] Popescu, I., A semidefinite programming approach to optimal-moment bounds for convex classes of distributions, Mathematics of Operations Research, 30, 3, 632-657 (2005) · Zbl 1082.60011 · doi:10.1287/moor.1040.0137
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.