TY - JOUR
T1 - Towards green automated production line with rotary transfer and turrets
T2 - a multi-objective approach using a binary scatter tabu search procedure
AU - Afrin, Kahkashan
AU - Iquebal, Ashif Sikandar
AU - Kumar, Sri Krishna
AU - Tiwari, M. K.
AU - Benyoucef, Lyes
AU - Dolgui, Alexandre
N1 - Publisher Copyright:
© 2015 Taylor & Francis.
PY - 2016/7/2
Y1 - 2016/7/2
N2 - This paper deals with a much less contemplated topic of carbon footprint (CFP) reduction in automated machining lines. A multi-objective problem for the simultaneous optimisation of line cost and carbon footprint while satisfying all the constraints of an automated production line with rotary transfer and turrets is presented. A framework for accounting and reduction of CFP and, hence, the energy consumption of the production line is put forward. This framework investigates the environmental impact of greenhouse gas emitted and energy consumed by the system-level processes during the machining and non-machining operations. Moreover, a binary scatter tabu search process for multi-objective optimisation (BSSPMO), a meta-heuristic based on scatter and tabu search procedure, is used for approximating the efficient frontier. To demonstrate the validation of the proposed approach, a case study is presented, and the numerical results are analysed. Though the trade-off between line cost and CFP is not a perfect Pareto, but it gives a very important conclusion about the trend of how these two critical parameters varies and the range in which it can be controlled.
AB - This paper deals with a much less contemplated topic of carbon footprint (CFP) reduction in automated machining lines. A multi-objective problem for the simultaneous optimisation of line cost and carbon footprint while satisfying all the constraints of an automated production line with rotary transfer and turrets is presented. A framework for accounting and reduction of CFP and, hence, the energy consumption of the production line is put forward. This framework investigates the environmental impact of greenhouse gas emitted and energy consumed by the system-level processes during the machining and non-machining operations. Moreover, a binary scatter tabu search process for multi-objective optimisation (BSSPMO), a meta-heuristic based on scatter and tabu search procedure, is used for approximating the efficient frontier. To demonstrate the validation of the proposed approach, a case study is presented, and the numerical results are analysed. Though the trade-off between line cost and CFP is not a perfect Pareto, but it gives a very important conclusion about the trend of how these two critical parameters varies and the range in which it can be controlled.
KW - automatic production line
KW - binary scatter tabu search
KW - carbon footprint
KW - multi-objective optimisation
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U2 - 10.1080/0951192X.2015.1109143
DO - 10.1080/0951192X.2015.1109143
M3 - Article
AN - SCOPUS:84949193749
VL - 29
SP - 768
EP - 785
JO - International Journal of Computer Integrated Manufacturing
JF - International Journal of Computer Integrated Manufacturing
SN - 0951-192X
IS - 7
ER -