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This paper presents a multi-objective mixed-integer nonlinear programming model to design a group layout of a cellular manufacturing system in a dynamic environment, in which the number of cells to be formed is variable. Cell formation (CF) and group layout (GL) are concurrently made in a...
Persistent link: https://www.econbiz.de/10009759157
performance; numerical examples are solved using the LINGO software. In addition, genetic algorithm (GA) is customized to tackle …
Persistent link: https://www.econbiz.de/10011563645
, and then the model is solved by two well-known meta-heuristic methods including non-dominated sorting genetic algorithm …
Persistent link: https://www.econbiz.de/10012020019
optimization and genetic algorithm are proposed. For the generation of initial solutions in these algorithms, a new heuristic …
Persistent link: https://www.econbiz.de/10011557363
algorithm is proposed to solve it. In this paper, we give a hybrid approach which combined genetic encoding and evolution scheme …
Persistent link: https://www.econbiz.de/10011556427
objective is to minimize the total distance traveled by all the vehicles. This paper presents a hybrid two-phase algorithm … called sweep algorithm (SW) + ant colony system (ACS) for the classical VRP. At the first stage, the VRP is solved by the SW … ; NP-hard problems ; sweep algorithm ; vehicle routing problem …
Persistent link: https://www.econbiz.de/10009740956
development process of a new Memetic Algorithm (MA) for optimizing partitioning problem of tandem AGVS. MAs employ a Genetic … Algorithm (GA), as a global search, and apply a local search to bring the solutions to a local optimum point. A new Tabu Search … algorithm is to minimize the maximum workload of the system. After all, the performance of the proposed algorithm is evaluated …
Persistent link: https://www.econbiz.de/10011950332
other, an archived multi-objective simulated annealing (AMOSA) algorithm is designed to find Pareto-optimal solutions … mutation operators are the advantages of the designed AMOSA. To demonstrate the efficiency of the proposed algorithm, the … performance of AMOSA is compared with an exact algorithm (i.e., [-constraint method) solved by the GAMS software and a well …
Persistent link: https://www.econbiz.de/10011556508
Over the last four decades of research, numerous cell formation algorithms have been developed and tested, still this research remains of interest to this day. Appropriate manufacturing cells formation is the first step in designing a cellular manufacturing system. In cellular manufacturing,...
Persistent link: https://www.econbiz.de/10011556850
Cell formation (CF) problem is one of the most important decision problems in designing a cellular manufacturing system includes grouping machines into machine cells and parts into part families. Several factors should be considered in a cell formation problem. In this work, robust optimization...
Persistent link: https://www.econbiz.de/10011562778