Evaluating shop floor input control using rapid modeling |
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| Affiliation: | 1. Department of Geography, Ghent University, Krijgslaan 281 S8, B9000 Gent, Belgium;2. College of Earth and Environmental Sciences, Lanzhou University, South Tianshui Road 222, 730000 Lanzhou, China;3. Department of Geography, University of Tartu, Vanemuise 46, 51014 Tartu, Estonia;1. Logistics and Supply Chain Management Department, Corvinus University of Budapest, Fővám tér 8, H-1093 Budapest, Hungary;2. Faculty of Economics and Business Administration, Babeş-Bolyai University, Teodor Mihali Str. 58-60, 400 591 Cluj-Napoca, Romania;3. Faculty of Economics and Business Administration, Babeş-Bolyai University, Teodor Mihali Str. 58-60, 400 591 Cluj-Napoca, Romania;1. University of Virginia, United States;2. INSEAD, France;3. University of California, United States;1. School of Electronics and Information Engineering, Liaoning University of Technology, China;2. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China;3. School of Software, Dalian University of Technology, China;4. Institute of Computing Science, Poznań University of Technology, Poland |
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| Abstract: | A simple, spreadsheet-based rapid modeling approach to analysis of input control is developed. This approach uses relationships which allow decomposition of a job shop queuing network. Order release is based on a minimum release time interval, dictated by the bottleneck machine utilization. The objectives are to develop insights into how input control affects work flow and how rapid models can help in achieving this. The rapid model performs well and the order release mechanism is shown to be robust. Economic analysis based on throughput, inventory and lead time tradeoffs is provided. The value of input control is shown to be dependent on the cost structure. The impact on profitability is small, however, relative to the impact of operating at the optimal utilization level. |
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