×

The ubiquitous nature of inventory: vendor managed consignment inventory in adverse market conditions. (English) Zbl 1487.90011

Summary: Inventories are ubiquitous in nature and inventory control is a crucial activity undertaken in the supply chain (SC) by a company’s management. The Vendor Managed Inventory (VMI) contract has become a common technique for supply chain management (SCM) since the 1980’s. In this technique, the decision about how much inventory to hold is made by the vendor. In the paper, we consider VMI with consignment (VMCI). Consignment is a frequently used form of business arrangement, in which the vendor retains the ownership of the inventory and gets paid by the retailer on actual units sold. Under VMCI, decisions are made in two steps. In the first step, the vendor specifies a consignment price and an order quantity with the objective to maximize the vendor’s expected profit. In the second step, the retailer chooses a retail price which maximizes the retailer’s expected profit. The customer demand is assumed to be stochastic, additive and price-sensitive. Additive uncertainty can produce negative demand realizations, which may occur in adverse market conditions. We prove that in this case an optimal and possibly non-unique solution to VMCI exists. We calculate closed-form formulas for optimal quantities for uniformly distributed demand. Finally, we demonstrate our approach through a numerical example and we show that the imposition of a non-negativity constraint can cause a higher vendor’s expected profit.

MSC:

90B05 Inventory, storage, reservoirs
Full Text: DOI

References:

[1] Accessed 18 February 2019
[2] Bieniek, M., Vendor and retailer managed consignment inventory with additive price-dependent demand, Optimization Letters (2019) · Zbl 1430.90010
[3] Accessed 18 February 2019
[4] Govindan, K., Vendor-managed inventory: a review based on dimensions, International Journal of Production Research, 51, 13, 3808-3835 (2013)
[5] Accessed 18 February 2019
[6] Hu, B.; Qu, J.; Meng, C., Supply chain coordination under option contracts with joint pricing under price-dependent demand, International Journal of Production Economics, 205, 74-86 (2018)
[7] Hu, X.; Su, P., The newsvendor’s joint procurement and pricing problem under price-sensitive stochastic demand and purchase price uncertainty, Omega, 79, 81-90 (2018)
[8] Jadidi, O.; Taghipour, S.; Zolfaghari, S., A two-price policy for a newsvendor product supply chain with time and price sensitive demand, European Journal of Operational Research, 253, 1, 132-143 (2016) · Zbl 1346.90035
[9] Krishnan, H., A note on demand functions with uncertainty, Operations Research Letters, 38, 436-440 (2010) · Zbl 1202.91153
[10] Kyparisis, G.; Koulamas, C., The price-setting newsvendor problem with nonnegative linear additive demand, European Journal of Operational Research, 269, 695-698 (2018) · Zbl 1388.90012
[11] Mahsa, N.-D.; Taleizadeh, A. A.; Jolai, F., Analyzing pricing, promised delivery lead time, supplier-selection, and ordering decisions of a multi-national supply chain under uncertain environment, International Journal of Production Economics, 209, C, 236-248 (2019)
[12] Mitra, S., Newsvendor problem with clearance pricing, European Journal of Operational Research, 268, 1, 193-202 (2018) · Zbl 1403.90039
[13] Modak, N. M.; Kelle, P., Managing a dual-channel supply chain under price and delivery-time dependent stochastic demand, European Journal of Operational Research, 272, 147-161 (2019) · Zbl 1403.90150
[14] Muckstadt, J.; Sapra, A., Principles of inventory management: when you are down to four, order more, Springer series in operations research and financial engineering (2010), Springer Science+Business Media, LLC · Zbl 1186.90001
[15] Petruzzi, N.; Dada, M., Pricing and newsvendor problem: a review with extensions, Operations Research, 47, 183-194 (1999) · Zbl 1005.90546
[16] Pourya, P.; Kyoung, K. O., The new generation of operations research methods in supply chain optimization: A review, Sustainability, MDPI, 8, 10-33 (2016)
[17] Ru, J.; Wang, Y., Consignment contracting: Who should control inventory in the supply chain?, European Journal of Operational Research, 201, 760-769 (2010) · Zbl 1173.90314
[18] Rubio-Herrero, J.; Baykal-Gursoy, M., On the unimodality of the price-setting newsvendor problem with additive demand under risk considerations, European Journal of Operational Research, 265, 962-974 (2018) · Zbl 1374.90025
[19] Rubio-Herrero, J.; Baykal-Gursoy, M.; Jaskiewicz, A., A price setting newsvendor problem under mean-variance criteria, European Journal of Operational Research, 247, 575-587 (2015) · Zbl 1346.90049
[20] Sainathan, A.; Groenevelt, H., Vendor managed inventory contracts-coordinating the supply chain while looking from the vendors perspective, European Journal of Operational Research, 272, 249-260 (2019) · Zbl 1403.90049
[21] Sari, K., Exploring the benefits of vendor managed inventory, International Journal of Physical Distribution and Logistics Management, 37, 529-545 (2007)
[22] Simchi-Levi, D.; Kaminsky, P.; Simchi-Levi, E., Designing and managing the supply chain: Concepts, strategies, and case studies (2008), McGraw-Hill/Irwin
[23] Taleizadeh, A. A.; Noori-daryan, M.; Govindan, K., Pricing and ordering decisions of two competing supply chains with different composite policies: a Stackelberg game-theoretic approach, International Journal of Production Research, 54, 9, 2807-2836 (2016)
[24] Venegas, B. B.; Ventura, J. A., A two-stage supply chain coordination mechanism considering price sensitive demand and quantity discounts, European Journal of Operational Research, 264, 2, 524-533 (2018) · Zbl 1375.90060
[25] (Walter, E., Cambridge advanced learner’s dictionary and thesaurus (2013), Cambridge University Press)
[26] Wilhelm, T., O.R. course “brings math to life” for high school students, 44 (2017), ORMS-Today
[27] Zhang, Q.; Zhang, D.; Segerstedt, A.; Luo, J., Optimal ordering and pricing decisions for a company issuing product-specific gift cards, Omega, 74, 92-102 (2018)
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.