Hybrid approach of discrete event simulation integrated with location search algorithm in a cells assignment problem: a case study
Aida Saez-Mas (),
Julio J. Garcia-Sabater (),
Jose P. Garcia-Sabater () and
Julien Maheut ()
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Aida Saez-Mas: Universitat Politècnica de València
Julio J. Garcia-Sabater: Universitat Politècnica de València
Jose P. Garcia-Sabater: Universitat Politècnica de València
Julien Maheut: Universitat Politècnica de València
Central European Journal of Operations Research, 2020, vol. 28, issue 1, No 8, 125-142
Abstract:
Abstract This paper presents a case study describing a cell assignment problem in an assembly facility. These cells receive parts from external suppliers, and sort and sequence these parts to feed the final assembly line. Therefore, to each cell are associated important inbound and outbound flows generating hundreds of material handling equipment movements along the facility, impacting the traffic density and causing eventually safety issues in the plant. Following an important plant redesign, cells have been relocated, and the plant managers need to decide how to manage the new logistic flows. To that aim, a hybrid approach encompassing mathematical optimization and discrete event simulation (DES) is proposed. This approach allows us to reduce complexity by decomposing the design into two phases. The first phase deals with the problem of generating cell’s assignment alternatives by using a heuristic method to find good quality solutions. Then, a DES software is used to dynamically evaluate the performance of the solutions with respect to operational features such as traffic congestion and intensity. This second phase provides interesting managerial insights on the manufacturing system from both quantitative and qualitative aspects related to in-plant safety and traffic.
Keywords: Facility layout problem (FLP); Supply logistics; Material flow; Traffic congestion; Automobile assembly line (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s10100-018-0548-5
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