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Yıl 2023, Cilt: 41 Sayı: 1, 178 - 193, 14.03.2023

Serkan Altuntaş Türkay Dereli Zülfiye Erdoğan

Öz

Kaynakça

  • REFERENCES
  • [1] Groover M. Automation, production systems, and computer-integrated manufacturing. 1st ed. India: Prentice Hall Press; 2007.
  • [2] Rasmi SAB, Kazan C, Turkay M. A multi-criteria decision analysis to include environmental, social, and cultural issues in the sustainable aggregate pro- duction plans. Comput Ind Eng 2019;132:348–360.[CrossRef]
  • [3] Su TS, Lin YF. Fuzzy multi-objective procure-ment/production planning decision problems for recoverable manufacturing systems. J Manuf Syst 2015;37:396– 408. [CrossRef]
  • [4] Boral S, Howard I, Chaturvedi SK, McKee K, Naikan VNA. A novel hybrid multi-criteria group decision making approach for failure mode and effect analysis: An essential requirement for sustainable manufac-turing. Sustain Prod Consum 2020;21:14–32. [CrossRef]
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  • [6] Ervural BC, Ervural B, Kabak O. A group deci-sion making approach for the evaluation of flex-ible manufacturing systems. IFAC-PapersOnLine 2016;49:1329– 1334. [CrossRef]
  • [7] Pagone E, Salonitis K, Jolly M. Automatically weighted high-resolution mapping of multi-criteria decision analysis for sustainable manufacturing sys-tems. J Clean Prod 2020;257:120272. [CrossRef]
  • [8] Yu C, Matta A, Semeraro Q. Group decision making in manufacturing systems: An approach using spa-tial preference information and indifference zone. J Manuf Syst 2020;55:109–125. [CrossRef]
  • [9] Ghenai C, Albawab M, Bettayeb M. Sustainability indicators for renewable energy systems using multi-criteria decision-making model and extended SWARA/ARAS hybrid method. Renew Energy 2020;146:580–597. [CrossRef]
  • [10] Zhang H. Understanding the linkages: A dynamic sustainability assessment method and decision making in manufacturing systems. Procedia CIRP 2019;80:233–238. [CrossRef]
  • [11] Sinha AK, Anand A. Development of sustainable supplier selection index for new product develop-ment using multi criteria decision making. J Clean Prod 2018;197:1587–1596. [CrossRef]
  • [12] Stoycheva S, Marchese D, Paul C, Padoan S, Juhmani A, Linkov I. Multi-criteria decision analy-sis framework for sustainable manufacturing in automotive industry. J Clean Prod 2018;187:257–272. [CrossRef]
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Decision making in the manufacturing environment using the technique of precise order preference

Yıl 2023, Cilt: 41 Sayı: 1, 178 - 193, 14.03.2023

Serkan Altuntaş Türkay Dereli Zülfiye Erdoğan

Öz

Wrong decisions in manufacturing systems can jeopardize the continuity of production and reduce productivity and efficiency. The refore, it is ess ential to mak e the rig ht dec isions in solving the problems encountered in manufacturing environments. In the literature, there are many methods developed to be used in solving decision-making problems. The results of different methods used in solving the same problem are different from each other. Thus, the rankings obtained by the different methods to solve the same decision-making problem in the manufacturing environment are different. Different rankings obtained for the same problem cause inconsistencies and it is not easy to determine which sort of order is better. In this study, the use of the technique of precise order preference (TPOP) is proposed to solve the decision-making problems in manufacturing systems. Three case studies are presented to illustrate the use of the TPOP method to solve decision-making problems in manufacturing systems. The c ase studies show that the TPOP method can be used easily to solve decision-making problems in manufacturing systems. Furthermore, the consistencies of the multi-criteria decision-making methods used in this study are analyzed using Spearman’s correlation coefficient values. TPOP method has the highest Spearman’s correlation value for three case studies.

Anahtar Kelimeler

TPOP Manufacturing Decision-Making Data Fusion

Kaynakça

  • REFERENCES
  • [1] Groover M. Automation, production systems, and computer-integrated manufacturing. 1st ed. India: Prentice Hall Press; 2007.
  • [2] Rasmi SAB, Kazan C, Turkay M. A multi-criteria decision analysis to include environmental, social, and cultural issues in the sustainable aggregate pro- duction plans. Comput Ind Eng 2019;132:348–360.[CrossRef]
  • [3] Su TS, Lin YF. Fuzzy multi-objective procure-ment/production planning decision problems for recoverable manufacturing systems. J Manuf Syst 2015;37:396– 408. [CrossRef]
  • [4] Boral S, Howard I, Chaturvedi SK, McKee K, Naikan VNA. A novel hybrid multi-criteria group decision making approach for failure mode and effect analysis: An essential requirement for sustainable manufac-turing. Sustain Prod Consum 2020;21:14–32. [CrossRef]
  • [5] Vazifehdan MN, Darestani SA. Green Logistics out-sourcing employing multi criteria decision making and quality function deployment in the petrochemi-cal industry. Asian J Shipp Logist 2019;35:243–254.[CrossRef]
  • [6] Ervural BC, Ervural B, Kabak O. A group deci-sion making approach for the evaluation of flex-ible manufacturing systems. IFAC-PapersOnLine 2016;49:1329– 1334. [CrossRef]
  • [7] Pagone E, Salonitis K, Jolly M. Automatically weighted high-resolution mapping of multi-criteria decision analysis for sustainable manufacturing sys-tems. J Clean Prod 2020;257:120272. [CrossRef]
  • [8] Yu C, Matta A, Semeraro Q. Group decision making in manufacturing systems: An approach using spa-tial preference information and indifference zone. J Manuf Syst 2020;55:109–125. [CrossRef]
  • [9] Ghenai C, Albawab M, Bettayeb M. Sustainability indicators for renewable energy systems using multi-criteria decision-making model and extended SWARA/ARAS hybrid method. Renew Energy 2020;146:580–597. [CrossRef]
  • [10] Zhang H. Understanding the linkages: A dynamic sustainability assessment method and decision making in manufacturing systems. Procedia CIRP 2019;80:233–238. [CrossRef]
  • [11] Sinha AK, Anand A. Development of sustainable supplier selection index for new product develop-ment using multi criteria decision making. J Clean Prod 2018;197:1587–1596. [CrossRef]
  • [12] Stoycheva S, Marchese D, Paul C, Padoan S, Juhmani A, Linkov I. Multi-criteria decision analy-sis framework for sustainable manufacturing in automotive industry. J Clean Prod 2018;187:257–272. [CrossRef]
  • [13] Guo Y, Wang N, Xu ZY, Wu K. The internet of things-based decision support system for informa-tion processing in intelligent manufacturing using data mining technology. Mech Syst Signal Process 2020;142:106630. [CrossRef]
  • [14] Kunath M, Winkler H. Integrating the Digital Twin of the manufacturing system into a decision support system for improving the order management pro-cess. Procedia CIRP 2018;72:225–231. [CrossRef]
  • [15] Li X, Fang Z, Yin C. A machine tool matching method in cloud manufacturing using Markov Decision Process and cross-entropy. Robot Comput Integr Manuf 2020;65:101968. [CrossRef]
  • [16] Cheng H, Xu W, Ai Q, Liu Q, Zhou Z, Pham DT. Manufacturing capability assessment for human-robot collaborative disassembly based on multi-data fusion. Procedia Manuf 2017;10:26–36. [CrossRef]
  • [17] De Vin LJ, Holm M, Ng AHC. The Information Fusion JDL-U model as a reference model for Virtual Manufacturing. Robot Comput Integr Manuf 2010;26:629–638. [CrossRef]
  • [18] Wu Q, Lin W, Zhou L, Chen Y, Chen H. Enhancing multiple attribute group decision making flex-ibility based on information fusion technique and hesitant Pythagorean fuzzy sets. Comput Ind Eng 2019;127:954–970. [CrossRef]
  • [19] Yin Y, Zhang L, Liao W, Niu H, Chen F. A knowledge resources fusion method based on rough set theory for quality prediction. Comput Ind 2019;108:104–114. [CrossRef]
  • [20] Ersoz F, Kabak M. A literature review of multiple criteria decision making methods at defence sector applications. Def Sci J 2010;9:97–125.
  • [21] Kahraman C. Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments. 1 st ed. Berlin: Springer; 2008. [CrossRef]
  • [22] Besbes M, Affonso RC, Zolghadri M, Masmoudi F, Haddar M. Multi-criteria decision making for the selection of a performant manual workshop layout: a case study. IFAC-PapersOnLine 2017;50:12404–12409. [CrossRef]
  • [23] Bougrine A, Darmoul S, Hajri-Gabouj S. Topsis based multi-criteria reconfiguration of manufac-turing systems considering operational and ergo-nomic indicators. In: Amor AB, editor. International Conference on Advanced Systems and Electric Technologies (IC_ASET); 2017 Jan 14-17; New Jersey: IEEE; 2017. pp. 329–334. [CrossRef]
  • [24] Kumar S, Kumar S, Barman AG. Supplier selection using fuzzy TOPSIS multi criteria model for a small scale steel manufacturing unit. Procedia Comput Sci 2018;133:905–912. [CrossRef]
  • [25] Liao CN, Kao HP. An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management. Expert Syst Appl 2011;38:10803–10811. [CrossRef]
  • [26] Ma J, Harstvedt JD, Jaradat R, Smith B. Sustainability driven multi-criteria project portfolio selection under the uncertain decision-making environment. Comput Ind Eng 2020;140:106236. [CrossRef]
  • [27] Ozcan T, Celebi N, Esnaf S. Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selec-tion problem. Expert Syst Appl 2011;38:9773–9779.[CrossRef]
  • [28] Peng C, Du H, Liao TW. A research on the cutting database system based on machining features and TOPSIS. Robot Comput Integr Manuf 2017;43:96–104. [CrossRef]
  • [29] Yuvaraj N, Pradeep Kumar M. Multiresponse optimization of abrasive water jet cutting process parameters using TOPSIS approach. Mater ManufProcess 2015;30:882–889. [CrossRef]
  • [30] Geng X, Liu Q. A hybrid service supplier selection approach based on variable precision rough set and VIKOR for developing product service system. Int J Comput Integr Manuf 2015;28:1063–1076.
  • [31] Lin XH, Feng YX, Tan JR, An XH. Product con-cept evaluation based on hybrid model of advanced DEMATEL-VIKOR algorithm. Comput Integr Manuf Syst 2011;17.
  • [32] Singh S, Olugu EU, Musa SN, Mahat AB, Wong KY. Strategy selection for sustainable manufactur-ing with integrated AHP-VIKOR method under interval- valued fuzzy environment. Int J Adv Manuf Technol 2016;84:547–563. [CrossRef]
  • [33] Sasananan M, Narkhede BE, Gardas BB, Raut RD. Selection of third party logistics service provider using a multi-criteria decision making approach for Indian cement manufacturing industries. Sci Technol Asia 2016;21:70–81.
  • [34] Yadav V, Sharma MK. Multi-criteria supplier selec-tion model using the analytic hierarchy process approach. J Model Manag 2016;11:326–354. [CrossRef]
  • [35] Kluczek A. An overall multi-criteria approach to sustainability assessment of manufacturing pro-cesses. Procedia Manuf 2017;8:136–143. [CrossRef]
  • [36] Sevkli M. An application of the fuzzy ELECTRE method for supplier selection. Int J Prod Res 2010;48:3393–3405. [CrossRef]
  • [37] Maniya KD, Bhatt MG. A multi-attribute selection of automated guided vehicle using the AHP/M-GRA technique. Int J Prod Res 2011;49:6107–6124.[CrossRef]
  • [38] Sandeep M, Kumanan S, Vinodh S. Supplier selec-tion using combined AHP and GRA for a pump manufacturing industry. Int J Logist Syst Manag 2011;10:40–52. [CrossRef]
  • [39] Badi IA, Abdulshahed AM, Shetwan AG. A case study of supplier selection for a steelmaking com-pany in Libya by using the Combinative Distance-based Assessment (CODAS) model. Decis Mak Appl Manag Eng 2018;1:1–12. [CrossRef]
  • [40] Mathew M, Sahu S. Comparison of new multi-crite-ria decision making methods for material handling equipment selection. Manag Sci Lett 2018;8:139–150. [CrossRef]
  • [41] Triantaphyllou E. Multi-criteria decision making methods. Multi-criteria decision making methods: A comparative study. 1st ed. Boston: Springer; 2000. pp. 5– 21. [CrossRef]
  • [42] de Farias Aires RF, Ferreira L. A new approach to avoid rank reversal cases in the TOPSIS method. Comput Ind Eng 2019;132:84–97. [CrossRef]
  • [43] Buede DM, Maxwell DT. Rank disagreement: A comparison of multi‐criteria methodologies. J Multi‐Criteria Decis Anal 1995;4:1–21. [CrossRef]
  • [44] Zanakis SH, Solomon A, Wishart N, Dublish S. Multi-attribute decision making: A simulation comparison of select methods. Eur J Oper Res 1998;107:507–529. [CrossRef]
  • [45] Triantaphyllou E, Shu B. On the maximum num-ber of feasible ranking sequences in multi-cri-teria decision making problems. Eur J Oper Res 2001;130:665–678. [CrossRef]
  • [46] Jan KH, Tung CT, Deng P. Rank reversal problem related to wash criterion in analytic hierarchy pro-cess (AHP). Afr J Bus Manag 2011;5:8301–8306. [CrossRef]
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Toplam 91 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ampirik Yazılım Mühendisliği
Bölüm Research Articles
Yazarlar

Serkan Altuntaş 0000-0003-4383-4710

Türkay Dereli 0000-0002-2130-5503

Zülfiye Erdoğan 0000-0002-6026-7087

Yayımlanma Tarihi 14 Mart 2023
Gönderilme Tarihi 28 Haziran 2021
Yayımlandığı Sayı Yıl 2023 Cilt: 41 Sayı: 1

Kaynak Göster

Vancouver Altuntaş S, Dereli T, Erdoğan Z. Decision making in the manufacturing environment using the technique of precise order preference. SIGMA. 2023;41(1):178-93.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/