Abstract
Facility Layout Problem (FLP) is concerned to arrange facilities efficiently within the available floor area in order to operate in an efficient way. So, the aim of this paper is to provide a survey related to the criteria that affect the effectiveness of a facility layout. The design criteria can be classified according to the previous research into two categories which are qualitative and quantitative indicators. Then, this paper presents a review of different Multi-Criteria Decision-Making (MCDM) techniques that have been proposed in the literature to pick the most suitable layout design. These methods are particularly suitable to deal with complex situations, including various criteria and conflicting goals which need to be optimized simultaneously. The review serves as a guide to those interested in how to evaluate and select the most appropriate layout which can handle an expanded range of manufacturing companies. Finally, we present a discussion followed by a conclusion.
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References
Abdi MR (2005) Selection of layout configuration for reconfigurable manufacturing system using the AHP. ISAHP, Honolulu
Abdi MR (2009) Layout configuration selection for reconfigurable manufacturing systems using the fuzzy AHP. Int J Manuf Technol Manag 17(1/2):149–165. https://doi.org/10.1504/IJMTM.2009.023783
Abdul-Hamid YT, Kochhar AK, Khan MK (1999) An analytic hierarchy process approach to the choice of manufacturing plant layout. Proc Inst Mech Eng Part B 213:397–406
Aiello G, Enea M (2006) Galante G (2006) A multi-objective approach to facility layout problem by genetic search algorithm and Electre method. Robot Comput-Integr Manuf 22:447–455. https://doi.org/10.1016/j.rcim.2005.11.002
Aiello G, Scalia GL, Enea M (2012) A multi objective genetic algorithm for the facility layout problem based upon slicing structure encoding. Expert Syst Appl 39:10352–10358. https://doi.org/10.1016/j.eswa.2012.01.125
Al-Hawari T, Mumani A, Momani A (2014) Application of the analytic network process to facility layout selection. J Manuf Syst 33(4):488–497. https://doi.org/10.1016/j.jmsy.2014.04.006
Ateekh-Ur and Babu (2009) Evaluation of reconfigured manufacturing systems: an AHP framework. Int J Product. Qual Manag 4(2):228–246. https://doi.org/10.1504/IJPQM.2009.023189
Ben Cheikh S, Hajri-Gabouj S, Darmoul S (2015) Reconfiguring manufacturing systems using an analytic hierarchy process with strategic and operational indicators. Ind Eng Oper Manag (IEOM). https://doi.org/10.1109/IEOM.2015.7093890
Ben Cheikh S, Hajri-Gabouj S, Darmoul S (2016). Manufacturing configuration selection under arduous working conditions: A multi-criteria decision approach. In: Proceedings of the 2016 International Conference on Industrial Engineering and Operations Management Kuala Lumpur, Malaysia, Mar 8–10
Cooper WW, Seiford LM, Zhu J, Cooper WW, Seiford LM (2011) Data envelopment analysis: history, models, and interpretations. Handbook on data envelopment analysis. Springer, US, pp 1–39
Drira A, Pierreval H, Hajri-Gabouj S (2007) Facility layout problems: a survey. Ann Rev Control 31(2):255–267. https://doi.org/10.1016/j.arcontrol.2007.04.001
Ertay T, Ruan D, Tuzkaya UR (2006) Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems. Inf Sci 176(3):237–262. https://doi.org/10.1016/j.ins.2004.12.001
Hadi-Vencheh A, Mohamadghasemi A (2013) An integrated AHP–NLP methodology for facility layout design. J Manuf Syst 696 32(1):40–45
Hwang CL, Yoon K (1981) Multiple attribute decision making: Methods and applications. Springer, NewYork
Kuo Y, Yang T, Huang GW (2008) The use of grey relational analysis in solving multiple attribute decision-making problems. Comput Ind Eng 55(1):80–93. https://doi.org/10.1016/j.cie.2007.12.002
Kusiak A, Heragu SS (1987) The facility layout problem’. Eur J Oper Res 29(3):229–251. https://doi.org/10.1016/0377-2217(87)90238-4
Lateef-Ur R, Ateekh-Ur R (2013) Manufacturing configuration selection using multicriteria decision tool. Int J Adv Manuf Tech 65(5–8):625–639. https://doi.org/10.1007/s00170-012-4201-5
Lin LC, Sharp GP (1999) Quantitative, and qualitative indices for the plant layout evaluation problem. Eur J Oper Res 116:118–138. https://doi.org/10.1016/S0377-2217(98)00046-0
Maniya KD, Bhatt MG (2011) An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems. Comput Ind Eng 61:542–549. https://doi.org/10.1016/j.cie.2011.04.009
Meller RD, Gau K (1996) The facility layout problem: Recent and emerging trends and perspectives. J Manuf Syst 15(5):351–366. https://doi.org/10.1016/0278-6125(96)84198-7
Nordin NN, Lee L-S (2016) Heuristics and metaheuristics approaches for facility layout problems: a survey. Pertanika J Sch Res Rev PJSRR 2(3):62–76
Rahimi N (2007) Outil d’aide à la décision pour l’aménagement des ressources de production d’une entreprise d’assemblage de cartes électroniques (pcba, “grande variété, faible volume”), Dissertation, université du Québec à Montréal
Raman D, Nagalingam SV, Lin GCI (2009) Towards measuring the effectiveness of a facilities layout. Robot Comput-Int Manuf 25/191–203. https://doi.org/10.1016/j.rcim.2007.06.003
Saaty TL (1980) The analytic hierarchy process. McGraw-Hill, New York
Saaty TL (1996) Decision making with dependence and feedback: the analytic net-work process. RWS Publications, Pittsburgh, PA
Shahin A, Poormostafa M (2011) Facility layout simulation and optimization. An integration of advanced quality and decision making tools and techniques. Mod Appl Sci 5(4):95. https://doi.org/10.5539/mas.v5n4p95
Shang JS (1993) Multi-criteria facility layout problem: an integrated approach. Eur J Oper Res 66(3):291–304. https://doi.org/10.1016/0377-2217(93)90218-C
Shokri H, Ashjari B, Saberi M, Yoon JH (2013) An integrated AHP. VIKOR methodology for facility layout design. Ind Eng Manag Sys 12(4):389–405. https://doi.org/10.7232/iems.2013.12.4.389
Singh SP, Sharma RRK (2006) A review of different approaches to the facility layout problems. Int J Adv Manuf Technol 30:425–433. https://doi.org/10.1007/s00170-005-0087-9
Singh SP, Singh VK (2011) Three-level AHP-based heuristic approach for a multi-objective facility layout problem. Int J Prod Res 49(4):1105–1125. https://doi.org/10.1080/00207540903536148
Suo X (2012) In: Aziz FA (ed.) Facility layout, manufacturing system [en lĂnea]. ISBN: 978-953-51-0530-5
Tzeng G-H, Huang JJ (2011) Multiple attribute decision making: methods and applications. CRC Press, Boca Raton, FL
Wang P, Zhu Z, Wang Y (2016) A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design. Inf Sci 345(1):27–45. https://doi.org/10.1016/j.ins.2016.01.076
Yang T, Su CT, Hsu YR (2000) Systematic layout planning: A study on semiconductor wafer fabrication facilities. Int J Oper Product Manag 20(11):1360–1372. https://doi.org/10.1108/01443570010348299
Yang T, Kuo CA (2003) A hierarchical AHP/DEA methodology for the facilities layout design problem. Eur J Oper Res 147(1):128–136. https://doi.org/10.1016/S0377-2217(02)00251-5
Yang T, Hung CC (2007) Multiple-attribute decision making methods for plant layout design problem. Robot Comput Int Manuf 23:126–137. https://doi.org/10.1016/j.rcim.2005.12.002
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Besbes, M., Affonso, R.C., Zolghadri, M., Masmoudi, F., Haddar, M. (2018). Multi-criteria Decision-Making Approaches for Facility Layout (FL) Evaluation and Selection: A Survey. In: Haddar, M., Chaari, F., Benamara, A., Chouchane, M., Karra, C., Aifaoui, N. (eds) Design and Modeling of Mechanical Systems—III. CMSM 2017. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-66697-6_59
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