Industrial Innovations

Industrial Innovations

Improving the sustainability of the dairy supply chain using cold plasma and blockchain: an evolution in deterioration management

Document Type : Original Article

Author
Department of Industrial Engineering, Faculty of Engineering Management, Kermanshah University of Technology, Kermanshah, Iran
Abstract
Deteriorating products require greater investment and higher expenditures compared to other goods. Enhancing shelf life and improving informational transparency are among the primary challenges for these products, particularly in the dairy industry. This article examines the role of advanced technologies, such as cold plasma and blockchain, in improving the supply chain of deteriorating products, with a focus on milk. Cold plasma extends product shelf life, while blockchain strengthens customer trust by providing clearer, more reliable information. This study investigates a two-level supply chain involving a manufacturer and a retailer, where the manufacturer utilizes cold plasma technology to extend shelf life, and the retailer bears the costs of blockchain to inform customers. The aim of this article is to examine the impacts of employing these two technologies in the supply chain of deteriorating dairy products, specifically milk, with a focus on the interactions between the manufacturer and retailer within a Stackelberg game framework. In this model, the manufacturer acts as the leader and the retailer as the follower, and the effects of technology-related costs on pricing decisions and profitability for each member are analyzed. Sensitivity analysis on the deterioration rate and shelf life reveals that the supply chain's profitability increases when deterioration rates are high, and customer sensitivity to deterioration is elevated, with cold plasma proving beneficial. Conversely, at lower deterioration rates, the high cost of cold plasma may reduce supply chain profitability. These findings underscore the importance of optimizing technology use based on the specific characteristics of the supply chain.
Keywords

[1] Balaji M, Arshinder K. Modeling the causes of food wastage in Indian perishable food supply chain. Resources, Conservation and Recycling. 2016; 114: p. 153-167.
[2]Tiwari S, Jaggi C.K, Gupta M, Cardenas-Barron L.E. Optimal pricing and lot-sizing policy for supply chain system with deteriorating items under limited storage capacity. International Journal of Production Economics. 2018; 200: p. 278-290.
[3] Guarnaschelli A, Salomone H.E, Méndez C.A. A stochastic approach for integrated production and distribution planning in dairy supply chains. Computers & Chemical Engineering. 2020; 140: 106966.
[4] Maihami R, Ghalehkhondabi I, Ahmadi E. Pricing and inventory planning for non-instantaneous deteriorating products with greening investment: A case study in beef industry. Journal of Cleaner Production. 2021; 295: 126368.
[5] Cao Y, Yi C, Wan G, Hu H, Li Q, Wang S. An analysis on the role of blockchain-based platforms in agricultural supply chains. Transportation Research Part E: Logistics and Transportation Review. 2022; 163: 102731.
[6] Al-Amin Khan Md, Abdul Halim M, AlArjani A, Shaikh A.A, Sharif Uddin Md. Inventory management with hybrid cash-advance payment for time-dependent demand, time-varying holding cost and non-instantaneous deterioration under backordering and non-terminating situations. Alexandria Engineering Journal. 2022; 61(11): p. 8469-8486.
[7] Mishra V.K, Singh L.S, Kumar R. An inventory model for deteriorating items with time-dependent demand and time-varying holding cost under partial backlogging. J. Ind. Eng. Int. 2013; 9: p. 1-5.
[8] Yadav S.A, Pandey G, Arora T.K, Chaubey P.K. Block-chain application Based Economic impact of Coronavirus pandemic on Medicine industry inventory System for Deteriorating objects with two-warehouse and wastewater treatment using PSO. Materials Today: Proceedings. 2022; 51: p. 939-946.
[9] Tiwari S, Cardenas-Barron L.E, Malik A.I, Jaggi C.K. Retailer’s credit and inventory decisions for imperfect quality and deteriorating items under two-level trade credit. Computers & Operations Research. 2022; 138: 105617.
[10] Li Y, Tan C, HP W.H, Wu C.H. Dynamic blockchain adoption for freshness-keeping in the fresh agricultural product supply chain. Expert Systems with Applications. 2023; 217: 119494.
[11] Zheng F, Zhou X. Sustainable model of agricultural product logistics integration based on intelligent blockchain technology. Sustainable Energy Technologies and Assessments. 2023; 57: 103258.
[12] Liu R, Tan C, Dash Wu D, Zhao C. Strategies choice for blockchain construction and coordination in vaccine supply chain. Computers & Industrial Engineering. 2023; 182: 109346.
[13] Zhang X, Li Z, Li G. Impacts of blockchain-based digital transition on cold supply chains with a third-party logistics service provider. Transportation Research Part E: Logistics and Transportation Review. 2023; 170: 103014.
[14]Priyan S. A blockchain-based inventory system with lot size-dependent lead times and uncertain carbon footprints. International Journal of Information Management Data Insights. 2024; 4(1): 100225.
[15] Hamidoğlu A, Gül Ö.M, Kadry S.N. A game-theoretical approach for the adoption of government-supported blockchain application in the IoT-enabled agricultural supply chain. Internet of Things. 2024; 26: 101163.
[16] Yuan H, Zhang L, Cao B.B, Chen W. Optimizing traceability scheme in a fresh product supply chain considering product competition in blockchain era. Expert Systems with Applications. 2024; 258: 125127.
[17] Ma D, Zhang K, Shao W, Hu J. Considering the cascade threat in the food supply chain for the retailer’s “blockchain & contamination prevention effort” strategic deployment. Expert Systems with Applications. 2024; 255: 124517.
 
Volume 2, Issue 2 - Serial Number 6
Spring 2024
Pages 161-179

  • Receive Date 30 October 2024
  • Revise Date 17 November 2024
  • Accept Date 25 November 2024