单一供应商多零售商生鲜冷链的协调补货政策

IF 1.8 Q3 MANAGEMENT Journal of Modelling in Management Pub Date : 2024-07-12 DOI:10.1108/jm2-10-2023-0249
Guo Chen, Mohamed Wahab Mohamed Ismail, Liping Fang
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引用次数: 0

摘要

目的 单供应商多零售商冷链是现实世界食品行业中广泛采用的一种供应链类型。本文旨在考虑如何有效设计和管理具有确定性需求的生鲜产品单供应商多零售商冷链,以最大限度地降低总成本,包括冷却成本、价值损失和碳排放成本。研究结果揭示了冷链的特性,并提供了以最优 PoT 决策实现冷链协调的适当批发价格方案。在数值示例中,对不同的情况进行了研究,发现冷链参数对最优决策有一定的影响。原创性/价值PoT 政策--一种决定补货策略的有效政策--在寻找单供应商多零售商冷链解决方案的文献中尚未采用。此外,也没有研究对非协调冷链和协调冷链进行比较。此外,在现有文献中,批发价格通常是一个常数,而不是一个协调方案。本研究旨在填补这些研究空白。
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Coordinated replenishment policies for a single-supplier multi-retailer cold chain for fresh produce

Purpose

The single-supplier multi-retailer cold chain is a widely adopted type of supply chain in the real-world food industry. This paper aims to consider the problem of effectively designing and managing a single-supplier multi-retailer cold chain for fresh produce with deterministic demand to minimize the total cost, which includes cooling, loss of value and carbon emission costs.

Design/methodology/approach

The global stability index (GSI) method and the non-Arrhenius model are integrated to describe the behavior of food quality degradation. The power-of-two (PoT) policy is adopted in determining the coordinated replenishment policies for the suppliers and retailers, and an appropriate wholesale price structure that can achieve the coordination of the chain is presented.

Findings

The properties of the cold chain are uncovered, and an appropriate wholesale price scheme that achieves chain coordination with the optimal PoT decision is provided. In the numerical examples, different scenarios are investigated, and it is found that the cold chain parameters influence the optimal decisions in certain ways.

Originality/value

The PoT policy – an efficient policy to determine the replenishment strategy – has not been adopted in finding the solution of a single-supplier multi-retailer cold chain in the literature. Also, no study has compared the uncoordinated and coordinated cold chain. Moreover, in the existing literature, the wholesale price is usually a constant rather than having a coordinated scheme. This research aims to fill these research gaps.

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来源期刊
CiteScore
5.50
自引率
12.50%
发文量
52
期刊介绍: Journal of Modelling in Management (JM2) provides a forum for academics and researchers with a strong interest in business and management modelling. The journal analyses the conceptual antecedents and theoretical underpinnings leading to research modelling processes which derive useful consequences in terms of management science, business and management implementation and applications. JM2 is focused on the utilization of management data, which is amenable to research modelling processes, and welcomes academic papers that not only encompass the whole research process (from conceptualization to managerial implications) but also make explicit the individual links between ''antecedents and modelling'' (how to tackle certain problems) and ''modelling and consequences'' (how to apply the models and draw appropriate conclusions). The journal is particularly interested in innovative methodological and statistical modelling processes and those models that result in clear and justified managerial decisions. JM2 specifically promotes and supports research writing, that engages in an academically rigorous manner, in areas related to research modelling such as: A priori theorizing conceptual models, Artificial intelligence, machine learning, Association rule mining, clustering, feature selection, Business analytics: Descriptive, Predictive, and Prescriptive Analytics, Causal analytics: structural equation modeling, partial least squares modeling, Computable general equilibrium models, Computer-based models, Data mining, data analytics with big data, Decision support systems and business intelligence, Econometric models, Fuzzy logic modeling, Generalized linear models, Multi-attribute decision-making models, Non-linear models, Optimization, Simulation models, Statistical decision models, Statistical inference making and probabilistic modeling, Text mining, web mining, and visual analytics, Uncertainty-based reasoning models.
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