Manouchehri Fateme, Nookabadi Ali Shahandeh, Kadivar Mahdi
Department of Industrial & Systems Engineering, Isfahan University of Technology Isfahan Iran, Iran.
Department of Food Science, College of Agriculture, Isfahan University of Technology, Iran.
Heliyon. 2020 Feb 19;6(2):e03376. doi: 10.1016/j.heliyon.2020.e03376. eCollection 2020 Feb.
Generally, the major goal in perishable supply chains is preserving the product's quality along with improving its logistic performance. In this regard, temperature seems to be the most important and most sensitive factor, since uncontrolled temperature has shown to have great impact on reducing product quality. In this study, an integrated production routing model for a perishable product was developed; considering the production, inventory, storage temperature, routing and vehicle temperature. To solve the problem, a hybrid search algorithm combining the variable of neighborhood search algorithm and the mechanism of the simulated annealing algorithm was designed. In order to evaluate the validity of the proposed algorithm, its results were compared with that of the CPLEX solver in the GAMZ software environment. Comparison of the results of the two methods shows the efficiency of the proposed algorithm to solve this problem. As a case study, the proposed model was also applied in a real industrial case. According to the results, this company can greatly reduce its distribution and inventory costs and also avoid waste by using this program.
一般来说，易腐供应链的主要目标是在提高物流绩效的同时保持产品质量。在这方面，温度似乎是最重要且最敏感的因素，因为不受控制的温度已被证明对降低产品质量有很大影响。在本研究中，开发了一种针对易腐产品的集成生产路径模型，该模型考虑了生产、库存、储存温度、路径规划和车辆温度。为解决该问题，设计了一种结合邻域搜索算法变量和模拟退火算法机制的混合搜索算法。为评估所提算法的有效性，将其结果与GAMZ软件环境中的CPLEX求解器的结果进行了比较。两种方法的结果比较表明了所提算法解决该问题的有效性。作为案例研究，所提模型还应用于一个实际工业案例。根据结果，该公司通过使用此方案可大幅降低其配送和库存成本，并避免浪费。
