Goodarzian Fariba, Ghasemi Peiman, Santibanez Gonzalez Ernesto Dr, Tirkolaee Erfan Babaee
Organization Engineering Group, School of Engineering, University of Seville, Camino de Los Descubrimientos s/n, 41092, Seville, Spain.
University of Vienna, Department of Business Decisions and Analytics, Kolingasse 14-16, 1090, Vienna, Austria.
J Environ Manage. 2023 Feb 15;328:116892. doi: 10.1016/j.jenvman.2022.116892. Epub 2022 Dec 16.
Configuration of sustainable supply chains for agricultural products has been a well-known research field recently which is continuing to evolve and grow. It is a complex network design problem, and despite the abundant literature in the field, there are still few models offered to integrate social impacts and environmental effects to support network design decision-making to support the configuration of the citrus supply chain. In this work, the citrus supply chain design problem is investigated by integrating the production, distribution, inventory control, recycling and locational decisions in which the triple bottom lines of sustainability, as well as circularity strategy, are addressed. Accordingly, a novel multi-objective Mixed-Integer Linear Programming (MILP) model is proposed to formulate a multi-period multi-echelon problem to design the sustainable citrus Closed-Loop Supply Chain (CLSC) network. To solve the developed model, the ε-constraint approach is employed in small-sized problems. Furthermore, Strength Pareto Evolutionary Algorithm II (SPEA-II) and Pareto Envelope-based Selection Algorithm II (PESA-II) algorithms are used in medium- and large-sized problems. Taguchi design technique is then utilized to adjust the parameters of the algorithms efficiently. Three well-known assessment metrics and convergence analysis are regarded to test the efficiency of the suggested algorithms. The numerical results demonstrate that the SPEA-II algorithm has a superior efficiency over PESA-II. Moreover, to validate the applicability of the developed methodology, a real case study in Mazandaran/Iran is investigated with the help of a set of sensitivity analyses.
农产品可持续供应链的配置是近年来一个广为人知的研究领域，并且仍在不断发展壮大。这是一个复杂的网络设计问题，尽管该领域有大量文献，但仍很少有模型能够整合社会影响和环境效应，以支持网络设计决策来助力柑橘供应链的配置。在这项工作中，通过整合生产、配送、库存控制、回收和选址决策来研究柑橘供应链设计问题，其中涉及可持续性的三重底线以及循环策略。相应地，提出了一种新颖的多目标混合整数线性规划（MILP）模型，以构建一个多周期多梯队问题，来设计可持续的柑橘闭环供应链（CLSC）网络。为求解所构建的模型，在小规模问题中采用ε-约束方法。此外，在中规模和大规模问题中使用强度帕累托进化算法II（SPEA-II）和基于帕累托包络的选择算法II（PESA-II）。然后利用田口设计技术有效地调整算法参数。采用三个著名的评估指标和收敛性分析来测试所提算法的效率。数值结果表明，SPEA-II算法比PESA-II具有更高的效率。此外，为验证所开发方法的适用性，借助一组敏感性分析对伊朗马赞德兰省的一个实际案例进行了研究。
