System reliability and congestion in a material handling system |
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Affiliation: | 1. Clinic for Hand, Plastic, Reconstructive and Burn Surgery, BG Unfallklinik Tuebingen, Eberhard Karls University Tuebingen, Tuebingen, Baden-Wurttemberg, Germany;2. Medical Faculty, Eberhard Karls University Tuebingen, Tuebingen, Baden-Wurttemberg, Germany;3. Clinic for Anaesthesia, Intensive Care and Pain Therapy, BG Unfallklinik Tuebingen, Eberhard Karls University Tuebingen, Tuebingen, Baden-Wurttemberg, Germany;1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, PR China;2. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, PR China;1. Pediatric Department, Mansoura University Children Hospital, Mansoura Faculty of Medicine, Mansoura City, Egypt;2. Community Medicine Department, Mansoura Faculty of Medicine, Mansoura City, Egypt;3. Pediatric Department, Saad Specialist Hospital, Alkhobar, Saudi Arabia;4. Pediatric Department, King Fahad University Hospital, Medical College Dammam University, Dammam, Saudi Arabia;1. School of Information Science and Engineering, University of Jinan, Jinan, China;2. Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan, China;3. Department of Psychology, Renmin University, Beijing, China;4. School of Information Engineering, East China Jiaotong University , Nanchang, China;1. Management and Management Science, Pace University, 1 Pace Plaza, New York, 10038, USA;2. Hong Kong Baptist University, Hong Kong;3. School of Business Administration, Southwestern University of Finance and Economics, Sichuan, China |
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Abstract: | Congestion in a transportation system prevents vehicles from traveling freely. Therefore, congestion in a material handling system can reduce the system's performance. This paper: (1) develops an analytical methodology for measuring congestion in a material handling system, (2) develops a congestion measure that is measurable in real-time and readily incorporated into existing analytical models for material handling system design and (3) develops quantitative relationships between critical material handling system variables and system congestion. |
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