Waste management of multiple food products through IoT enabled preservation policies and secondary supply chains

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Industrial Engineering Pub Date : 2024-09-10 DOI:10.1016/j.cie.2024.110569
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Abstract

Recycling food waste (FW) into secondary products can transform the waste-to-value. This study proposes reducing FW through IoT controlled preservation and consuming it through a secondary supply chain (SSC). It explores the best policies for SSC management that recycles FW. The food chain comprises of multiple food processors for preparing multiple food products, and a common retailer where IoT based preservation curtails food deterioration. The SSC consumes the FW by recycling into multiple secondary products at multiple recycling plants and retailing at a secondary retailer. A dual channel waste collection viz. from retailers and consumers is maintained. Each product within primary and secondary supply chains (PSSCs) has a different lifetime, rate of deterioration (RoD), and preservation effectiveness. A nonlinear mathematical model is presented that optimizes decision-making for maximizing profitability. Outcomes of computational experiments demonstrate that the SSC removes 100% of the FW, conserves 89% of material resources, reduces 16% of the total cost, minimizes preservation efforts by 50%, improves replenishment cycle, and increases profitability by 39%. Some managerial insights are provided for making vital supply chain decisions.

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通过物联网保存政策和二级供应链管理多种食品的废弃物
将厨余(FW)回收利用到二次产品中可以实现变废为宝。本研究建议通过物联网控制保存减少厨余垃圾,并通过二级供应链(SSC)消费厨余垃圾。它探讨了回收利用 FW 的 SSC 管理最佳政策。食品链由多个食品加工商和一个普通零售商组成,前者负责制作多种食品,后者则负责基于物联网的保鲜,以防止食品变质。SSC 通过在多个回收厂回收多种二次产品和在二级零售商处零售来消耗 FW。零售商和消费者的废物收集保持双通道。一级和二级供应链(PSSC)中的每种产品都有不同的使用寿命、劣化率(RoD)和保存效果。本文提出了一个非线性数学模型,可优化决策,实现利润最大化。计算实验结果表明,供应链可消除 100% 的损耗,节约 89% 的材料资源,降低 16% 的总成本,最大限度地减少 50% 的保存工作,改善补货周期,并将利润率提高 39%。这为供应链的重要决策提供了一些管理启示。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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