Innovative decision support tools for perishable food supply chain management

IF 4.1 3区 管理学 Q2 BUSINESS Management Decision Pub Date : 2024-05-28 DOI:10.1108/md-12-2023-2378
Samatthachai Yamsa-ard, Fouad Ben Abdelaziz, Hatem Masri
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Abstract

Purpose

We introduce decision support tools aimed at optimizing perishable food supply chain management, effectively balancing conflicting objectives such as the exporter’s product collection cost and the importer’s profit. This involves considering factors like perishability, selling price, discount rate, and order quantity to achieve optimal outcomes.

Design/methodology/approach

This study considered a three-echelon supply chain comprising farmers, a single exporter, and a single importer providing a single, random-lifetime, perishable product under deterministic customer demand. The proposed mathematical model derived the optimal order quantity, selling price, and discount rate for the entire supply chain. This integrated optimization model treats both demand and supply sides as a multi-objective problem, employing a nonlinear program and a two-stage capacitated vehicle routing problem formulation. Numerical examples and a case study focusing on Thailand durian supply chain were conducted to illustrate the approach of the proposed model.

Findings

Taking into account both the importer’s profit and the exporter’s product collection cost, the proposed integrated supply chain model and tools maximize profitability, minimizes waste, and meets demand by optimizing perishable product collection costs and proposing a discount system for selling prices.

Research limitations/implications

Limited to a single perishable product in a three-echelon international food supply chain. Future research can explore different products and supply chain contexts.

Practical implications

The tools enhance decision-making for supply chain managers, improving efficiency, reducing costs, and enhancing customer satisfaction in the perishable food industry.

Social implications

The proposed model aids in local workforce management by forecasting required manpower for upcoming seasons. By factoring in product quality and pricing, it ensures customers receive fresh products at fair prices. Furthermore, the near-zero waste concept enhances storage conditions at importers' facilities, contributing to improved environmental hygiene.

Originality/value

The integrated model and decision support tools offer a novel approach to address complexities and conflicting objectives in perishable food supply chains, providing practical insights for researchers and practitioners.

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易腐食品供应链管理的创新决策支持工具
目的我们介绍了决策支持工具,旨在优化易腐食品供应链管理,有效平衡出口商的产品收集成本和进口商的利润等相互冲突的目标。设计/方法/途径本研究考虑了一个由农户、单一出口商和单一进口商组成的三梯队供应链,该供应链在确定性客户需求下提供单一、随机寿命的易腐产品。所提出的数学模型得出了整个供应链的最优订货量、销售价格和折扣率。该综合优化模型将供需双方视为一个多目标问题,采用了非线性程序和两阶段容车路由问题的表述方式。研究结果考虑到进口商的利润和出口商的产品收集成本,所提出的集成供应链模型和工具通过优化易腐产品收集成本和提出销售价格折扣制度,最大限度地提高了利润率,减少了浪费,并满足了需求。社会意义所提出的模型通过预测即将到来的季节所需的人力,有助于当地劳动力的管理。通过考虑产品质量和定价因素,该模型可确保客户以合理的价格获得新鲜产品。此外,近乎零废弃物的概念改善了进口商设施的存储条件,有助于改善环境卫生。原创性/价值该综合模型和决策支持工具提供了一种新方法来解决易腐食品供应链中的复杂性和相互冲突的目标,为研究人员和从业人员提供了实用的见解。
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来源期刊
CiteScore
8.20
自引率
8.70%
发文量
126
期刊介绍: ■In-depth studies of major issues ■Operations management ■Financial management ■Motivation ■Entrepreneurship ■Problem solving and proactivity ■Serious management argument ■Strategy and policy issues ■Tactics for turning around company crises Management Decision, considered by many to be the best publication in its field, consistently offers thoughtful and provocative insights into current management practice. As such, its high calibre contributions from leading management philosophers and practitioners make it an invaluable resource in the aggressive and demanding trading climate of the Twenty-First Century.
期刊最新文献
Compassion, value creation and digital learning orientation in social entrepreneurs The impact of supply chain revamping announcements on shareholder value Prioritizing factors for generative artificial intelligence-based innovation adoption in hospitality industry Exploring the role of heuristics in buyer–supplier relationship dynamics Understanding behavioral strategy: a historical evolutionary perspective in “Management Decision”
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