An analysis of Strategies for Adopting Blockchain Technology in Fresh Product Supply Chain Under Freshness Misreporting

Deqiang Fu; Min Yang

doi:10.54097/5x6gy375

Authors

Deqiang Fu
Min Yang

DOI:

https://doi.org/10.54097/5x6gy375

Keywords:

Supply chain management, fresh product supply chain, blockchain.

Abstract

The application of blockchain technology can inhibit producers' freshness misrepresentation in fresh produce supply chains. In this paper, we consider consumers with fresh produce freshness information traceability preference. In a fresh produce supply chain with a single producer and a single seller, the seller's blockchain application decision is studied, the Stackelberg game models of the supply chain members in the two scenarios of the producer misrepresenting freshness and the seller applying blockchain are constructed, and the changes of the equilibrium solutions before and after the application of blockchain technology are analysed. The theoretical proofs and numerical simulation studies show that when the transaction cost is at a certain level, the sellers should choose to apply blockchain technology to improve their own revenue, and the level of applying blockchain technology is affected by the consumer's retrospective preference and the cost coefficient of blockchain technology.

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References

Pun, H., Swaminathan, J.M., Hou, P., 2021. Blockchain Adoption for Combating Deceptive Counterfeits. Prod Oper Manag 30, 864–882. https://doi.org/10.1111/poms.13348

Azadi Z,Eksioglu S D, Eksioglu B, et al. Stochastic optimization models for joint pricing and inventory replenishment of perishable products [J]. Computers & Industrial Enginecring, 2019,127: 625-642.

Jansscn L,Sauer J,Claus T,et al. Development and simulation analysis of a new perishable inventory model with a closing days constraint under non-stationarystochastic demand[J]. Computers & Industrial Engineering,2018,118: 9-22.

Pauls-Worm K G J, Hendrix E M T,Alcoba A G, et al.Order quantities for perishable inventory control with non-stationary demand and a fill rate constraint[J]. InternationalJournal of Production Economics, 2016,181: 238-246.

Sebatjane M,Adetunji O. A three-echelon supply chain for economic growing quantity model with price and freshness-dependent demand: Pricing, ordering and shipmentdecisions [J]. Operations Research Perspectives, 2020,7: 1-15.

Ma X,Wang S, Islam S M, et al.Coordinating a three-echelon fresh agricultural products supply chain considering freshness-keeping effort with asymmetricinformation[J].Applied Mathematical Modelling, 2019,67:337-356

Burer S,Jones P.C.,Lowe T.J.Coordinating the supply chain in the agricultural seed industry[J]. European Journal of Operational Research, 2008,185(1): 354-377.

Jang W., Klein C.M.Supply chain models for small agricultural enterprises[J].Annals of operations research, 2011, 190(1): 359-374.

Cai X., Chen J.,Xiao Y., et al. Optimization and Coordination of Fresh Product Supply Chains with Freshness Keeping Effort[J]. Production and Operations Management,2010,19(3): 261-278.

Kazaz B.，Webster S. The Impact of Yield-Dependent Trading Costs on Pricing and Production Planning Under Supply Uncertainty [J]. Manufacturing & Service Operations Management, 2011,13(3): 404-417

Helo P,Hao Y. Blockchains in operations and supply chains: A model and reference implementation[J]. Computers & Industrial Engineering, 2019,136:242-251.

Allen D WE, Berg C, Davidson S, et al. International policy coordination for blockchain supplychains[J].Asia & the Pacific Policy Studies, 2019,6(3):367-380.

Tnnissen S, Teuteberg F.Analysing the impact of blockchain-technology for operations and supply chain management: An explanatory model drawn from multiple case studies[J]. InternationalJournal of Information Management, 2020, 52: 101953.

Fan Zhiping, Wu Xueyan，Cao Bingbing.Considering the traceability awareness of consumers:should the supply chain adopt the blockchain technology?[J].Annals of Operations Research, 2020:

Liu Pan, Long Yue, Song Haicao, et al. Investment decision and coordination of greenagri-food supply chain considering information service based on blockchain and big data[J]. Journal ofCleaner Production, 2020,277: 123646.

Xu Xiaoping,Zang Mengying, Dou Guowei, et al.Coordination of a supply chain with an online platform considering green technology in the blockchain era[J]. International Journal of ProductionResearch, 2021: 1-18.

Zhang, P., Y. He, and C. Shi. 2017. “Retailer’s Channel Structure Choice: Online Channel, Offline Channel, or Dual Channels .” International Journal ofProduction Economics 191:37–50.