TY - GEN
T1 - Optimizing Supply Chain Network design with SALBP-E assembly line issue
AU - Raji, Ibrahim O.
AU - Rossi, Tommaso
N1 - Publisher Copyright:
© IEOM Society International.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Assembly line balancing
KW - Mixed-integer nonlinear programming
KW - SALBP-E
KW - Supply Chain Network system
UR - http://www.scopus.com/inward/record.url?scp=85066937467&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85066937467
VL - 2018
T3 - Proceedings of the International Conference on Industrial Engineering and Operations Management
SP - 706
EP - 715
BT - Proceedings of the International Conference on Industrial Engineering and Operations Management (IEOM), Paris, France 2018
T2 - 2nd European International Conference on Industrial Engineering and Operations Management.IEOM 2018
Y2 - 26 July 2018 through 27 July 2018
ER -