STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Cordination of VMI Supply Chain on the Base of Loss Aversion and Replenishment
DOI: https://doi.org/10.62517/jcte.202406407
Author(s)
Yaozong Zhu1, Kung-Don Ye2, Cuilian Kong3, Hsiu-Hua Hu4
Affiliation(s)
1Nanjing Vocational Institute of Railway Technology, Nanjing, China 2Department of Shipping and Transportation Management, National Taiwan Ocean University, Keelung, Taiwan 3Institute of Science Innovatin and Culture, Rajamangala University of Technology Krungthep, Bangkok, Thailand 4Department of International Business, Ming Chuan University, Taipei, Taiwan
Abstract
Numerous studies have demonstrated that implementing replenishment strategies can reduce shortage costs, and the presence of loss-averse behavior can also impact decision-making within enterprises. Both the choice of replenishment strategy and the manifestation of loss-averse behavior ultimately influence the level of coordination within supply chains. Replenishment strategy has been overlooked in most existing studies on supply chain coordination with loss aversion. This paper, however, employs the psychological account separation method to depict the loss-averse behavior of a supplier in a two-level Vendor Managed Inventory (VMI) supply chain, consisting of a loss-averse supplier and a risk-neutral retailer. To investigate the impact of supplier's loss aversion behavior on supply chain coordination, this study constructs supply chain coordination models under risk diversification contract, option contract and subsidy contract respectively. The research indicates that the aforementioned three types of coordination contracts are capable of driving the supply chain towards a state of coordination and achieving Pareto improvement. In comparison to option and subsidy contracts, suppliers show a greater preference for risk diversification contracts. If the supplier exhibits a high degree of loss aversion, option contracts and subsidy contracts will not be utilized for supply chain coordination. The findings contribute to the enhancement of VMI supply chain coordination management methods.
Keywords
Supply Chain Management; Loss Aversion; Replenishment Strategy; Coordinating Contracts.
References
[1] Salem R W M, Elomria. Vendor managed inventory (VMI): From theory to practice. A literature review. International Journal of Supply Chain Management, 2017, 6 (1): 68-93. [2] Dong Y, Dresner M, Yao Y. Beyond information sharing: An empirical analysis of vendor-managed inventory. Production and Operations Management, 2014, 23 (5): 817-828. [3] Hemmati M, Fatemi Ghomi S M T, Sajadieh Ms. Vendor managed inventory with consignment stock for supply chain with stock-and price-dependent demand. International Journal of Production Research, 2017, 55 (18): 5225-5242. [4] Liu M, Cao E, Salifou C K. Pricing strategies of a dual-channel supply chain with risk aversion. Transportation Research Part E: Logistics and Transportation Review, 2016, 90: 108-120. [5] Sabitha D, Rajendran C, Kalpakam S, et al. The value of information sharing in a serial supply chain with AR (1) demand and non-zero replenishment lead times. European Journal of Operational Research, 2016, 255 (3): 758-777. [6] Yang Jian-Gong, Qing Qian-Long. The Replenishment Policy and Optimal Shelf Space of the Inventory Competitive Product Under VMI. Chinese Journal of Management Science, 2014, 22 (4): 42-50. [7] Zhang X, Wei L. A study of distributed inventory system based on VMI strategy under emergency conditions//13th International Conference on Service Systems and Service Management (ICSSSM16), June 24-26, 2016, Kunming, China. IEEE, 2016: 1-6. [8] Cai J, Tadikamalla P R, Shang J, et al. Optimal inventory decisions under vendor managed inventory: Substitution effects and replenishment tactics. Applied Mathematical Modelling, 2017, 43: 611-629. [9] Yan N, He X, Liu Y. Financing the capital-constrained supply chain with loss aversion: Supplier finance vs. Supplier investment. Omega, 2019, 88: 162-178. [10] Jian Ming, Liu Tong. Inventory sharing strategy of loss averse retailer. Computer Integrated Manufacturing Systems, 2017, 23 (9): 2012-2019. [11] Vipin B, Amit R K. Loss aversion and rationality in the newsvendor problem under recourse option. European Journal of Operational Research, 2017, 261 (2): 563-571. [12] Qu You, Guan Zhimin, Qiu Ruozhen, et al. Impact of Members' Fairness Preference and Loss-Averse on Order Strategy in Hybrid Dual-Channel Supply Chain. Chinese Journal of Management, 2017, 14 (1): 129-138. [13] Cao Bing-Bing, Fan Zhi-Ping, You Tian-Hui, et al. Joint Pricing and Ordering Decisions for the Temperature Sensitive Product Considering the Loss Aversion[J]. Chinese Journal of Management Science, 2017, 25 (4): 63-72. [14] Liu Wei, Song Shi-Ji, Qiao Ying, et al. Loss-averse retailer game with random demand and yield. Control and Decision, 2017, 32 (5): 920-924. [15] Becker-Peth M, Katok E, Thonemann U W. Designing buyback contracts for irrational but predictable newsvendors. Management Science, 2013, 59 (8): 1800-1816. [16] Davis A M, Katok E, SantamarĂ­a N. Push, pull, or both? A behavioral study of how the allocation of inventory risk affects channel efficiency. Management Sicence, 2014, 60 (11): 2666-2683. [17] He J, Ma C, Pan K. Capacity investment in supply chain with risk averse supplier under risk diversification contract. Transportation Research Part E: Logistics and Transportation Review, 2017, 106: 255-275. [18] Wang C, Chen J, Chen X. Pricing and order decisions with option contracts in the presence of customer returns. International Journal of Production Economics, 2017, 193: 422-436. [19] Chen X, Wang X, Chan H K. Channel coordination through subsidy contract design in the mobile phone industry. International Journal of Production Economics, 2016, 171: 97-104. [20] Liu Yun-Zhi, Fan Zhi-Ping. Vmi Supply Chain Coordination Contract Model Considering Loss Aversion and Promotional Behavior. Industrial Engineering and Management, 2016, 21 (2): 22-31. [21] Liu Yun-Zhi, Fan Zhi-Ping Supply chain coordination contract model considering loss aversion and quality level. Journal of Systems Engineering, 2017, 32 (1): 89-102. [22] Huang F, He J, Wang J. Coordination of VMI supply chain with a loss-averse manufacturer under quality-dependency and marketing-dependency. Journal of Industrial & Management Optimization, 2019, 15 (4): 1753-1772. [23] Cai J, Hu X, Han Y, et al. Supply chain coordiantion with an option contract under vendor-managed inventory. International Transactions in Operational Research, 2016, 23 (6): 1163-1183. [24] Cai J, Zhong M, Shang J, et al. Coordinating VMI supply chain under yield uncertainty: Option contract, subsidy contract, and replenishment tactic. International Journal of Production Economics, 2017, 185: 196-210. [25] Gu Bojun, Zhang Xiang. Channel Coordination for the Supply Chain with a Risk-Neutral Manufacturer and a Loss-Averse Retailer based on Revenue-Sharing Contract. Journal of Systems & Management, 2016, 25 (1): 67-74.
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