Production Scheduling And Distribution Planning Problems For Flexible Job Shop Environment In Make To Order Manufacturing

Abstract

This research focuses on the intergrated production scheduling and distribution planning problems (IPDPs) in a flexible job shop environment within a make-to-order (MTO) manufacturing system. The study addresses the need to approach that considers both production scheduling and distribution decisions simultaneously. The research aims to study optimization models and solution procedures tailored to the flexible job shop environment. The objective is to achieve a trade-off between total cost and total penalties when delivery earliness and tardiness, ensuring economical production and distribution operations. After reviewing and analyzing the factors of many calculation methods, we propose two approachs for this bi objective model: ε-constraint method and AUGMECON2. The outcomes demonstrate that the ε-constraint method can identify the pareto set of optimal solution, which provide many choices for company based on their preferences. The AUGMECON2 finds diversity near-optimal solutions in shorter time compared to ε-constraint method. This thesis contributes to the advancement of integrated supply chain management by addressing the specific challenges of production scheduling and distribution planning in a flexible job shop environment. The findings provide valuable insights and decision support for manufacturing companies adopting the make-to-order business model.