TY - JOUR
T1 - A Simulation-based Methodology of Assessing Environmental Sustainability and Productivity for Integrated Process and Production Plans
AU - Hatim, Qais
AU - Shao, Guodong
AU - Rachuri, Sudarsan
AU - Kibira, Deogratias
AU - Kumara, Soundar
N1 - Publisher Copyright:
© 2015 Published by Elsevier B.V.
PY - 2015
Y1 - 2015
N2 - With the increasing attention directed to sustainable manufacturing, systematic methodologies are needed for not only incorporating the traditional performance indicators such as cost and quality, but also environmental impacts during the production stage. This requires the selection of processes and process settings for the production of the design features to be optimal (i.e., higher productivity and lower negative environmental impact). Oftentimes, during process planning the improvement of one performance indicator (e.g., energy consumption) is at the cost of other ones (e.g., tool usage). In this paper, we introduce a systematic methodology that enables the combined assessment of environmental sustainability and productivity for integrated process and production plans using multi-objective optimization techniques. A case study of machining processes in a machine shop has been performed to demonstrate the proposed methodology.
AB - With the increasing attention directed to sustainable manufacturing, systematic methodologies are needed for not only incorporating the traditional performance indicators such as cost and quality, but also environmental impacts during the production stage. This requires the selection of processes and process settings for the production of the design features to be optimal (i.e., higher productivity and lower negative environmental impact). Oftentimes, during process planning the improvement of one performance indicator (e.g., energy consumption) is at the cost of other ones (e.g., tool usage). In this paper, we introduce a systematic methodology that enables the combined assessment of environmental sustainability and productivity for integrated process and production plans using multi-objective optimization techniques. A case study of machining processes in a machine shop has been performed to demonstrate the proposed methodology.
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U2 - 10.1016/j.promfg.2015.09.004
DO - 10.1016/j.promfg.2015.09.004
M3 - Conference article
AN - SCOPUS:85007402950
SN - 2351-9789
VL - 1
SP - 193
EP - 204
JO - Procedia Manufacturing
JF - Procedia Manufacturing
T2 - 43rd North American Manufacturing Research Conference, NAMRC 2015
Y2 - 8 June 2015 through 12 June 2015
ER -