Material Flow Optimisation in a Manufacturing Plant by Real-Coded Genetic Algorithm (RCGA)

摘要: In agriculture, supply chain management and transportation, it is necessary to deliver and pick up the required material in time. For this delivery and pickup of materials, vehicles are used with certain capacity. The problem is solved as capacitated vehicle routing problem (CVRP). The objectives are considered as capacity of the vehicle and the time required for delivery and pickup. Various heuristics and meta-heuristics are developed to solve the CVRP effectively. In this work, two different case studies based on CVRP by Alvarado-Iniesta et al. (Expert Syst Appl 40(12):4785−4790, ) and Venkatesan et al. (Int J Eng Sci Technol 3:7469–7477, ) are considered. To solve these problems, real-coded genetic algorithm (RCGA) is employed to optimise the material flow. The results obtained by RCGA are dominating to previously used algorithms by solution quality.