Design of a Logistics Network in an Organisation for Optimising Logistics Cost and Inventory Using RSM and Genetic Algorithm

摘要

The competitive environment of global markets has forced many manufacturers to select the most appropriate logistics for the optimisation of total logistics cost, time and inventory. Cost, time and inventory are the most important factors in the competitive market that are often not addressed comprehensively by the researchers. In this study, the genetic algorithms (GAs) and the fuzzy logic techniques are used for optimising a novel mathematical model of the logistics network. The objective of the proposed model is to minimise the cost of production, distribution, holding and backorder. In addition to the optimization of logistics cost, the model can also determine the economic production quantity (EPQ), optimized value of holding cost, transportation cost, inventory at various stages with help of the Genetic Algorithm and the Fuzzy logic. Thus by using Genetic Algorithm, RSM and fuzzy logic, the optimized value of the logistics cost, and inventory of the logistics network were obtained.