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An integrated approach to machine selection and operation allocation problem

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Abstract

Machine selection and operation allocation is a multi-criteria decision-making problem which involves the consideration of both qualitative and quantitative factors. Thus, a hybrid model integrating the knowledge-based expert system and the genetic algorithm may be effectively applied to the decision problem. This paper proposes a two-step approach where suitable machines for every operation in a work center is selected and optimized as a whole to obtain the optimum machine park. The first step of the model determines the suitability of each machine type for every operation using the knowledge-based expert system. The second stage searches through the solution space to find the optimal machine park with the use of a genetic algorithm. A real-life case study at an outdoor advertisement manufacturing company demonstrates the applicability of the model.

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Authors and Affiliations

  1. Department of Industrial Engineering, Yasar University, University Street, No: 35-37, 35100, Bornova-Izmir, Turkey

    Evrim Ursavas Guldogan

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  1. Evrim Ursavas Guldogan
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Correspondence to Evrim Ursavas Guldogan.

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Guldogan, E.U. An integrated approach to machine selection and operation allocation problem. Int J Adv Manuf Technol 55, 797–805 (2011). https://doi.org/10.1007/s00170-010-3063-y

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  • DOI: https://doi.org/10.1007/s00170-010-3063-y

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