Study of Different Sequencing Approaches for Mixed-Model Just-in-Time Production System

Abstract

Mixed Model Just-in-Time production systems have been developed in recent years in order to reduce costs of diversified small-lot production, which involves producing only the necessary products in the necessary quantities at necessary times. This problem minimizes both the earliness and the tardiness penalties that respond to the customer demands for a variety of models without holding large inventories or incurring shortages.The problem of sequencing flexible transfer lines or mixed-model assembly lines according to the JIT philosophy can be formulated as a non-linear integer programming problem. In this project work , we focused on the concept of penalizing jobs both for being early and for being tardy because not only of modern competitive industrial challenges of providing a variety of products at a very low cost by smoothing productions but also of its increasing and exciting computer applications. Here, sequencing approaches of the mixed-model just-in-time production systems is reviewed. In this project work, realizing a need of critical review, a survey on the elegant mathematical models, methods and complexity of the mixed-model just-in-time sequencing problem with an insight into the existing analytical literature is given.The established research results together with open problems and possible extensions are presented.