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Production systems with cycle overrun: modelling, analysis, improvability and bottlenecks

Production systems with cycle overrun: modelling, analysis, improvability and bottlenecks
Eun, YongsoonLiu, KangMeerkov, Semyon M.
DGIST Authors
Eun, YongsoonLiu, KangMeerkov, Semyon M.
Issued Date
Author Keywords
Production systemsunreliable machinescycle overrunmachine improvabilitybottleneck analysiscontinuous improvement
Production systems literature usually attributes throughput losses to two reasons: unreliable equipment and random part processing time (also referred to as machine cycle time). In practice, however, one more reason for throughput losses is observed: cycle overrun. The specificity of cycle overrun is that not all parts may require more time than allotted by a fixed cycle time and, if the overrun does occur, its duration is coupled with the part processing time: typically, it is a fraction or a small multiple of the cycle time. This paper is indented to develop methods for analysis and improvement of production systems with unreliable machines and cycle overrun. Specifically, it introduces a mathematical model of an unreliable machine with cycle overrun, develops its simplified version, explores the efficacy of machines' improvability by reducing either downtime or cycle overrun, and discusses the issue of bottleneck identification. These results are obtained under the exponential assumption on machine reliability and overruns and then extended to the non-exponential case. Finally, the methods developed are illustrated by a case study based on an automotive transmission case machining line. © 2021 Informa UK Limited, trading as Taylor & Francis Group.
Taylor and Francis Ltd.
Related Researcher
  • 은용순 Eun, Yongsoon 전기전자컴퓨터공학과
  • Research Interests Resilient control systems; Control systems with nonlinear sensors and actuators; Quasi-linear control systems; Intelligent transportation systems; Networked control systems
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Department of Electrical Engineering and Computer Science DSC Lab(Dynamic Systems and Control Laboratory) 1. Journal Articles


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