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A simulation-based methodology to analyse production line disruptions
Authors:Sidhartha S. Padhi  Stephan M. Wagner  Tarikere T. Niranjan  Vijay Aggarwal
Affiliation:1. Department of Management, Technology, and Economics , Swiss Federal Institute of Technology Zurich , Switzerland spadhi@ethz.ch;3. Department of Management, Technology, and Economics , Swiss Federal Institute of Technology Zurich , Switzerland;4. Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay , Powai, Mumbai , India;5. Operations Management Group , Management Development Institute Gurgaon , Haryana , India
Abstract:This article proposes a discrete event simulation (DES) framework to analyse the impact of disturbances, their parameter values, and their interactions, on production line efficiency. The framework is demonstrated by means of a case study of a manufacturing process in an Indian automotive manufacturer. Various scenarios are generated and studied using design of experiment (DOE) to investigate the effects of changes in product, technology, cycle time, and worker competency, and to derive the optimal set of process and decision parameters.
Keywords:manufacturing systems  discrete event simulation (DES)  design of experiments (DOE)  parameter optimisation  performance improvement
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