Samatthachai Yamsa-ard, Fouad Ben Abdelaziz, Hatem Masri
{"title":"易腐食品供应链管理的创新决策支持工具","authors":"Samatthachai Yamsa-ard, Fouad Ben Abdelaziz, Hatem Masri","doi":"10.1108/md-12-2023-2378","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Research limitations/implications</h3>\n<p>Limited to a single perishable product in a three-echelon international food supply chain. Future research can explore different products and supply chain contexts.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>The tools enhance decision-making for supply chain managers, improving efficiency, reducing costs, and enhancing customer satisfaction in the perishable food industry.</p><!--/ Abstract__block -->\n<h3>Social implications</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>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.</p><!--/ Abstract__block -->","PeriodicalId":18046,"journal":{"name":"Management Decision","volume":"17 1","pages":""},"PeriodicalIF":4.1000,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Innovative decision support tools for perishable food supply chain management\",\"authors\":\"Samatthachai Yamsa-ard, Fouad Ben Abdelaziz, Hatem Masri\",\"doi\":\"10.1108/md-12-2023-2378\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>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.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>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.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>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.</p><!--/ Abstract__block -->\\n<h3>Research limitations/implications</h3>\\n<p>Limited to a single perishable product in a three-echelon international food supply chain. 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Innovative decision support tools for perishable food supply chain management
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.
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.