Gupta Mahima, Kaur Harpreet, Singh Surya Prakash
Indian Institute of Management Amritsar, Amritsar, India.
Department of Management Studies, Indian Institute of Technology Delhi, New Delhi, India.
Ann Oper Res. 2021 Oct 5:1-58. doi: 10.1007/s10479-021-04240-8.
The global concern to ensure the availability of food for the growing world's population draws urgent attention towards the inefficiencies in agri-food supply chains. Agri-food supply chains are inherently complex to manage than other supply chains mainly because of their multi-echelon structure, deteriorating product quality with time and changes in storage conditions which leads to significant amount of food loss and wastage. Additionally, any natural or man-made disaster further disrupts the chain and leads to high food loss, high supply chain costs, reduced food availability and poor food quality. Hence, there is a need to design resilient and efficient agri-food supply chain network for optimal multi-echelon storage and distribution to reduce food loss and quality degradation. For this purpose, a Fuzzy Multi Objective Linear Program (FMOLP) is proposed in this paper for integrated food procurement, storage and distribution under cost, resilience and quality considerations. The proposed model integrates the short-term operational objective of cost optimization with the long-term sustainable objectives of food loss minimization and resilience maximization. The proposed FMOLP is illustrated using a realistic case of Public Distribution System using the data benchmarked with the numbers reported by the Food corporation of India. The detailed computational analysis carried out in the paper in investigates three categories of problem sizes to compare and contrast the decisions using different strategies and to provide organizational, operational and policy insights on the trade-off between cost, food loss and resilience.
确保不断增长的世界人口有粮食供应这一全球关切，促使人们迫切关注农业食品供应链的低效问题。农业食品供应链在管理上比其他供应链本质上更为复杂，主要是因为其多级结构、产品质量随时间恶化以及储存条件变化，这导致大量的粮食损失和浪费。此外，任何自然或人为灾害都会进一步扰乱供应链，导致大量粮食损失、供应链成本高昂、粮食供应减少以及食品质量不佳。因此，需要设计具有弹性和高效的农业食品供应链网络，以实现最佳的多级储存和配送，减少粮食损失和质量下降。为此，本文提出了一种模糊多目标线性规划（FMOLP），用于在成本、弹性和质量考量下进行食品采购、储存和配送的整合。所提出的模型将成本优化的短期运营目标与粮食损失最小化和弹性最大化的长期可持续目标相结合。使用印度粮食公司报告的数据作为基准，通过公共分配系统的实际案例对所提出的FMOLP进行了说明。本文进行的详细计算分析研究了三类问题规模，以比较和对比使用不同策略的决策，并就成本、粮食损失和弹性之间的权衡提供组织、运营和政策方面的见解。
