Scheduling for JIT shipment in a hybrid batch manufacturing environment
Abstract
This paper focuses on the development of a scheduling system for small-volume, high-variety batch production in a job shop that also incorporated cell configurations. Other characteristics included sequence-dependent setups, precedence constraints, resource constraints, routing alternatives, due date requirements, and multistage production. A just-in-time scheduling system was developed that employs backward scheduling, fuzzy logic to determine job priority, and a genetic algorithm to tune machine loading levels. A test using actual demand data showed that the system reduced both late jobs and inventory and provided better workload balance than the previous manual system.
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