The paper addresses the design of a sustainable multiple-channel fresh food distribution network, which serves three purposes. Firstly, it addresses the changing preferences of consumers for online retailing. Secondly, the model investigates the distribution network of Buy Online Pickup in Store (BOPS) in the context of food supply chain. Thirdly, the model formulates new farming laws passed by the Indian government which allows the farmers to sell their produce as per their choice and removes the constraint of selling in the government regulated Mandis. To address the problem, a multiple-channel multi-objective fresh food distribution network model is developed. The model takes sustainability into consideration by formulating economic (total cost minimization), environmental (emission minimization) and social (delivery time minimization) objectives. A combination of an epsilon constraint and linear programming (LP) metrics method is used to solve the model. The applicability of the model is verified through a case study of a fresh tomato supply chain in India. Moreover, a sensitivity analysis is carried out to evaluate the different distribution strategies. Results show that demand ratio plays an important role in the identification of the optimal design with respect to the three objectives considered.

本文讨论了可持续的多渠道新鲜食品分销网络的设计，该网络具有三个目的。首先，它解决了消费者对在线零售不断变化的偏好。其次，该模型研究了食品供应链背景下的“店内自提”（BOPS）的分销网络。第三，该模型制定了印度政府通过的新农业法律，允许农民根据自己的选择出售他们的产品，并消除了在政府监管的 Mandis 中销售的限制。为了解决这个问题，开发了一个多渠道多目标的生鲜配送网络模型。该模型通过制定经济（总成本最小化）、环境（排放最小化）和社会（交付时间最小化）目标。使用 epsilon 约束和线性规划 (LP) 度量方法的组合来求解模型。通过印度一个新鲜番茄供应链的案例研究，验证了该模型的适用性。此外，还进行了敏感性分析以评估不同的分配策略。结果表明，需求比率在确定与所考虑的三个目标相关的最佳设计方面起着重要作用。进行敏感性分析以评估不同的分配策略。结果表明，需求比率在确定与所考虑的三个目标相关的最佳设计方面起着重要作用。进行敏感性分析以评估不同的分配策略。结果表明，需求比率在确定与所考虑的三个目标相关的最佳设计方面起着重要作用。