Please use this identifier to cite or link to this item: http://arl.liuc.it/dspace/handle/2468/6333
Title: Optimizing supply chain network design with SALBP-E assembly line issue
Authors: Raji, Ibrahim Oluwole
Rossi, Tommaso
Issue Date: 2018
Publisher: IEOM society
Bibliographic citation: Raji Ibrahim Oluwole, Rossi Tommaso (2018), Optimizing supply chain network design with SALBP-E assembly line issue. In: 2nd IEOM European conference: Industrial engineering & operations management: Paris, France, July 26-27, 2018. (Proceedings of the International conference on industrial engineering and operations management). Novi, Michigan: IEOM society, p. 706-715. ISBN 978-1-5323-5945-3.
Abstract: Optimizing Supply Chain Network (SCN) system, otherwise known as "strategic decision", with assembly line balancing issue (tactical decision) is relatively at infant level in literature. Managers and decision makers usually will not disregard either of these activities (either disregard SCN activities while trying to balance assembly lines or assembly line balancing while designing an SCN) for an SCN system that has assembly line unit. These two key subjects are collaborative. This work focuses on advancing optimization criteria from one of the pioneering work in this research field by designing a mathematical model to optimize the SCN that includes the manufacturers/producers, assemblers and end users. The goal is to simultaneously minimize the transportation costs along the SCN line for the concerned time phases while balancing the assembly lines in assemblers so as to minimize the overall cost of setting up stations. A mixed-integer nonlinear model is proposed to minimize the transportation costs alongside the cycle time and number of stations at the assembler. This means minimizing the idle time and also maximizing the line efficiency by increasing the throughput rate in addition to the cost minimization. We propose to apply the model to real life data and subsequently recommend its deployment.
URI: http://arl.liuc.it/dspace/handle/2468/6333
Journal/Book: 2nd IEOM European conference: Industrial engineering & operations management: Paris, France, July 26-27, 2018
ISBN: 978-1-5323-5945-3
Appears in Collections:Contributo in atti di convegno

Files in This Item:
File Description SizeFormat 
6333.pdf
  Restricted Access
780,71 kBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.