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Decision making procedure of demand satisfaction and production policy for capacitated production systems |
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| Affiliation: | 1. School of IOT Engineering, Jiangnan University, Wuxi 214122, China;2. Department of Electronics and Information Engineering, Chonbuk National University, Jeonju, Jeonbuk 561756, Republic of Korea;1. Control Engineering and Intelligent Systems Group eXiT, University of Girona, Campus Montilivi Building PIV, 17071 Girona, Spain;2. Division of Cardiology, Pontchaillou University Hospital, Rennes F-35000, France;3. Université de Rennes 1, LTSI, Rennes F-35000, France;4. INSERM, U1099, Rennes F-35000, France;1. Institute of Elec and Information Engineering in Hunan University, Changsha 410082, China;2. INESC Porto and Faculty of Engineering, University of Porto, Porto 4099-002, Portugal;3. College of Computer Science, Beijing University of Information Science and Technology, Beijing, China;1. Department of Computer Science and Engineering, University of Bologna, Cesena, FC 47521, Italy;2. Umpi R&D, Cattolica, RN 47841, Italy;1. Fraunhofer INT, Appelsgarten 2, D-53879 Euskirchen, Germany;2. Ghent University, Faculty of Economics and Business Administration, Tweekerkenstraat 2, B-9000 Gent, Belgium |
| Abstract: | This paper develops a reliability-based decision making procedure for production systems to (i) evaluate the system reliability and (ii) determine the reliable production policy. The production system is represented as a capacitated production network (CPN) for system reliability evaluation, in which the system reliability is defined as the probability of demand satisfaction. The decision making to determine a reliable production policy is based on the derived system reliability. Two layouts are considered in this paper: the first layout is for the CPN with parallel lines; while the second layout is for the CPN with joint lines. Transformation and decomposition techniques are proposed to generate all minimal capacity vectors that workstations should provide to satisfy demand. In terms of the minimal capacity vectors, the system reliability is derived by applying the recursive sum of disjoint products (RSDP) algorithm. A case study in the context of footwear production system is utilized to demonstrate the decision making procedure. |
| Keywords: | Layout Reliability-based decision making Capacitated production network (CPN) Demand satisfaction Production policy Footwear production system |
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