Effect of learning in Jit production system: a simulation experiment on a microcomputer
Computers and Industrial Engineering
Simulation of a PCB assembly line: a modified JIT approach
Computers and Industrial Engineering
Simulating a just-in-time production system
Computers and Industrial Engineering
Proceedings of the 15th annual conference on Computers and industrial engineering
Conceptual design of a warehouse for just-in-time operations in a bakery
ICC&IE '94 Proceedings of the 17th international conference on Computers and industrial engineering
A non-sequential just-in-time simulation model
Computers and Industrial Engineering
Simulation with visual SLAM and AweSim
Simulation with visual SLAM and AweSim
Slam II - Network Models for Decision Support
Slam II - Network Models for Decision Support
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This study introduces a framework for re-design of manufacturing systems into practical optimum just-in-time systems by integration of computer simulation and analysis of variance. The conventional JIT approach is mostly applicable to static production systems and the dynamic production systems require a more practical integrated JIT approach. In addition, the redesign of existing dynamic systems into just-in-time systems must follow a practical path, which can be a cumbersome task. This means, a unique practical optimum just-in-time system that considers system's limitations and its dynamic behavior must be designed. To achieve the objective of this study, first, the actual system must be totally modeled and simulated. Second, the integrated simulation model is tested and validated by analysis of variance. Third, the optimum (most fitted) JIT design is developed and tested by modeling actual system's limitations and its dynamic behavior. The framework is applied and tested for an auto production line and a heavy rolling mill workshop.