A framework and a simulation generator for kanban-controlled manufacturing systems |
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| Affiliation: | 1. The Belk College of Business Information and Operations Management Dept., University of North Carolina at Charlotte, Charlotte, NC 28223, USA;2. Supply Chain Consultants, Inc., 2604 Eastburn Center, Newark, DE 19711, USA;1. Systems and Operations Management, College of Business and Economics, California State University, Northridge, USA;2. Anderson School of Management, University of California, Los Angeles, USA;3. Industrial Engineering, Sharif University of Technology, Tehran, Iran;1. Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China;2. Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China;3. Precision Manufacturing Institute, Wuhan University of Science and Technology, Wuhan 430081, China;4. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China |
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| Abstract: | ![]()
A generalized framework for the definition of kanban-controlled manufacturing systems and a simulation generator based on this framework are introduced in this paper. Kanbans are used between and within workstations to trigger product flow or production. The simulation generator is capable of modeling complex manufacturing systems with multiple parts, multiple work centers and multiple processes at each work center. Multiple process definition capability enables users to define convergent and divergent points in a manufacturing system. Several decision rules are defined and incorporated into the generator. The simulation generator can be used as a completely interactive tool that is data-driven and requires no programming skills. |
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