Abstract
An Improved Efficacy Coefficient Method for Machine Selection in Flexible Manufacturing Cell
Highlights
To meet the extremely competitive international markets environment, manufac-turing companies worldwide are forced to undergo transformation processes in order to improve their ability to succeed with their products
The task of machine selection is to select the best desirable machine from a set of candidate machines for some application based on given several evaluation attributes
The machine selection problem is a MultiAttribute Decision Making (MADM) problem and many MADM methods have been developed to the application of machine selection for some specific application
Summary
To meet the extremely competitive international markets environment, manufac-turing companies worldwide are forced to undergo transformation processes in order to improve their ability to succeed with their products. In this perspective, the selection of the best appropriate machine tool is often crucial but very difficult to achieve (Aloini et al, 2014). Aloini et al (2014) developed the TOPSIS method for solving packaging machine selection problem in which the selection attributes are expressed with intuitionistic fuzzy set. Jahromi and Moghaddam (2012) proposed a novel 0-1 integer programming model for solving a problem of dynamic machine-tool selection in a flexible Manufacturing System (FMS) environment Flexible Manufacturing Cell (FMC) is a group of machines, working together to perform a set of functions on a particular part or product, with the added capability of being conveniently changeable to other parts or products (Rao, 2013). Jahromi and Moghaddam (2012) proposed a novel 0-1 integer programming model for solving a problem of dynamic machine-tool selection in a flexible Manufacturing System (FMS) environment
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