Multi-criteria decision making for the selection of a performant manual workshop layout: a case study

Abstract The purpose of this paper is to evaluate and to select a new workshop layout among a set of alternatives to meet changes in demand. We suggest a multi-criteria decision making approach using Analytic Hierarchy Process (AHP) technique coupled with Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to help decision makers in the selection process. AHP is applied to get the weights of selected criteria by comparing them pair-wise by experts. The final ranking of potential configurations is obtained through the application of TOPSIS according to their performance levels. This methodology identifies the most performer configuration responding to the selected criteria. The approach is applied to a real case in Tunisia.

[1]  Ravi Shankar,et al.  A Delphi-AHP-TOPSIS based benchmarking framework for performance improvement of a cold chain , 2011, Expert Syst. Appl..

[2]  Patrick T. Hester,et al.  An Analysis of Multi-Criteria Decision Making Methods , 2013 .

[3]  Ahmad Mumani,et al.  Application of the Analytic Network Process to facility layout selection , 2014 .

[4]  Hamid R. Parsaei,et al.  Measurement of needed reconfiguration level for manufacturing firms , 2008 .

[5]  T. Saaty How to Make a Decision: The Analytic Hierarchy Process , 1990 .

[6]  Sonia Hajri-Gabouj,et al.  Reconfiguring Manufacturing Systems using an Analytic Hierarchy Process with strategic and operational indicators , 2015, 2015 International Conference on Industrial Engineering and Operations Management (IEOM).

[7]  Uday Venkatadri,et al.  A framework for multi-objective facility layout design , 2015, Comput. Ind. Eng..

[8]  A K Kochhar,et al.  An analytic hierarchy process approach to the choice of manufacturing plant layout , 1999 .

[9]  G. Galante,et al.  A multi-objective approach to facility layout problem by genetic search algorithm and Electre method , 2006 .

[10]  Taho Yang,et al.  Multiple-attribute decision making methods for plant layout design problem , 2007 .

[11]  Hoda A. ElMaraghy,et al.  Assessment of manufacturing systems reconfiguration smoothness , 2006 .

[12]  Yoram Koren,et al.  Impact of Manufacturing System Configuration on Performance , 1998 .

[13]  M. Reza Abdi Layout configuration selection for reconfigurable manufacturing systems using the fuzzy AHP , 2009, Int. J. Manuf. Technol. Manag..

[14]  Morteza Yazdani,et al.  A state-of the-art survey of TOPSIS applications , 2012, Expert Syst. Appl..

[15]  Ling-Feng Hsieh,et al.  Performance evaluation for university electronic libraries in Taiwan , 2006, Electron. Libr..

[16]  R. L. Bradley,et al.  Manufacturing as a 'system' , 1978 .

[17]  A. Hadi-Vencheh,et al.  An integrated AHP–NLP methodology for facility layout design , 2013 .

[18]  Rrk Sharma,et al.  A review of different approaches to the facility layout problems , 2006 .

[19]  M. G. Bhatt,et al.  An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems , 2011, Comput. Ind. Eng..

[20]  Thomas L. Saaty,et al.  How to Make a Decision: The Analytic Hierarchy Process , 1990 .

[21]  K.K.B. Hon,et al.  Impact of Product Life Cycle on Manufacturing Systems Reconfiguration , 2007 .

[22]  Taho Yang,et al.  A hierarchical AHP/DEA methodology for the facilities layout design problem , 2003, Eur. J. Oper. Res..

[23]  S. Darmoul,et al.  Manufacturing configuration selection under arduous working conditions : A multi-criteria decision approach , 2015 .

[24]  Ibrahim H. Garbie,et al.  A methodology for the reconfiguration process in manufacturing systems , 2014 .

[25]  Fatme Makssoud,et al.  Apport de l'optimisation combinatoire pour la reconfiguration des lignes de production , 2014 .

[26]  Russell D. Meller,et al.  The facility layout problem: Recent and emerging trends and perspectives , 1996 .

[27]  Henri Pierreval,et al.  Facility layout problems: A survey , 2007, Annu. Rev. Control..