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- W2087979183 abstract "Purpose – In order to achieve excellence in manufacturing, goals like lean, economic and quality production with enhanced productivity play a crucial role in this competitive environment. It also necessitates major improvements in generally three primary technical areas: variation reduction, equipment reliability, and production scheduling. Complexity of the real world scheduling problems also increases with interactive multiple decision‐making criteria. This paper aims to deal with multi‐objective flow shop scheduling problems, including sequence dependent set up time (SDST). The paper also aims to consider the objective of minimizing the weighted sum of total weighted tardiness, total weighted earliness and makespan simultaneously. It proposes a new heuristic‐based hybrid simulated annealing (HSA) for near optimal solutions in a reasonable time.Design/methodology/approach – Six modified NEH's based HSA algorithms are proposed for efficient scheduling of jobs in a multi‐objective SDST flow shop. Problems..." @default.
- W2087979183 created "2016-06-24" @default.
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- W2087979183 date "2010-08-31" @default.
- W2087979183 modified "2023-09-27" @default.
- W2087979183 title "Multi‐objective flow shop scheduling using hybrid simulated annealing" @default.
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- W2087979183 doi "https://doi.org/10.1108/13683041011074191" @default.
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