Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran.
Environ Sci Pollut Res Int. 2023 May;30(25):67398-67442. doi: 10.1007/s11356-023-26305-w. Epub 2023 Apr 27.
On the one hand, supply chain management of agri-food products under uncertain conditions has a significant impact on food security and, on the other hand, increases the profits of supply chain components. Moreover, considering the sustainability concepts leads to more social and environmental benefits. The present study investigates the canned food supply chain under uncertain conditions and sustainability concepts by considering strategic and operational decisions and different characteristics. The proposed model is a multi-echelon, multi-period, multi-product, multi-objective location-inventory-routing problem (LIRP) in which the vehicle fleet is considered heterogeneously. The objectives of this model are to (1) minimize costs, (2) minimize customer dissatisfaction, (3) maximize production throughput, and (4) maximize job opportunities. In this study, carbon cap and trade mechanism are used to minimize environmental damage. Robust fuzzy stochastic programming (RFSP) is employed to cope and control uncertainties. The multi-objective optimization problem is implemented on a real case and solved using the Torabi and Hassini (TH) method. The results of this study showed that with increasing confidence levels, the severity of the problem increased and the values of the objective functions worsened. Also, using the relative value of stochastic solution (RVSS) criterion demonstrated that the effect of utilizing the RFSP approach on the first and second objective functions was higher than that the nominal approach showed itself. Finally, sensitivity analysis is performed on two parameters: the selling price of products to foreign customers and the cost of purchasing products from farms. The results of this study showed that changing these two parameters had a significant effect on the first and second objective functions.
一方面，不确定条件下的农产品供应链管理对食品安全有重大影响，另一方面增加了供应链各环节的利润。此外，考虑可持续发展理念会带来更多的社会和环境效益。本研究考虑战略和运营决策以及不同特点，调查了不确定条件下和可持续发展理念下的罐头食品供应链。所提出的模型是一个多层次、多时期、多产品、多目标的选址-库存-路径问题（LIRP），其中车辆车队被视为异质的。该模型的目标是：（1）最小化成本，（2）最小化客户不满，（3）最大化生产吞吐量，（4）最大化就业机会。在本研究中，采用碳上限与交易机制来最小化环境破坏。采用鲁棒模糊随机规划（RFSP）来应对和控制不确定性。多目标优化问题在一个实际案例上进行了实施，并使用 Torabi 和 Hassini（TH）方法进行了求解。研究结果表明，随着置信水平的提高，问题的严重程度增加，目标函数的值恶化。此外，使用随机解的相对值（RVSS）标准表明，RFSP 方法对第一和第二目标函数的影响高于名义方法本身。最后，对两个参数：向外国客户销售产品的价格和从农场购买产品的成本进行了敏感性分析。研究结果表明，这两个参数的变化对第一和第二目标函数有重大影响。
