A Spherical Fuzzy Multi-Criteria Decision-Making Model for Industry 4.0 Performance Measurement

被引:7
作者
Ozdemir, Yavuz Selim [1 ]
机构
[1] Ankara Sci Univ, Dept Ind Engn, TR-06200 Ankara, Turkey
关键词
Industry; 4.0; spherical fuzzy AHP; performance measurement; MCDM; SETS;
D O I
10.3390/axioms11070325
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In recent years, efficient processes have become increasingly important because of high-level competition in the production industry. The concept of Industry 4.0 is a relatively new and effective method for managing production processes. Because the Industry 4.0 implementation process includes connections between objects, humans, and systems, it is quite difficult to evaluate and measure the performance. At this stage, performance criteria can be applied. However, linguistic evaluation of criteria makes the problem too complicated to solve. The purpose of this paper is to present a novel fuzzy performance measurement model for Industry 4.0 in small and medium-sized manufacturing firms. A hybrid spherical fuzzy analytic hierarchy process (SF-AHP)-weighted score methodology (WSM) is proposed for the performance measurement and scoring process. In the application part of this paper, the propounded methodology was applied to five companies. The results of this study can be used as a reference for experts in the performance measurement of the Industry 4.0 process.
引用
收藏
页数:11
相关论文
共 51 条
[21]   Development of Performance Measurement System in the Context of Industry 4.0: a Case Study [J].
Kloviene, Lina ;
Uosyte, Indre .
INZINERINE EKONOMIKA-ENGINEERING ECONOMICS, 2019, 30 (04) :472-482
[22]  
Kutlu Gundogdu Fatma, 2020, Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. Proceedings of the INFUS 2019 Conference. Advances in Intelligent Systems and Computing (AISC 1029), P988, DOI 10.1007/978-3-030-23756-1_117
[23]   A novel spherical fuzzy analytic hierarchy process and its renewable energy application [J].
Kutlu Gundogdu, Fatma ;
Kahraman, Cengiz .
SOFT COMPUTING, 2020, 24 (06) :4607-4621
[24]   Past, present and future of Industry 4.0-a systematic literature review and research agenda proposal [J].
Liao, Yongxin ;
Deschamps, Fernando ;
Rocha Loures, Eduardo de Freitas ;
Pierin Ramos, Luiz Felipe .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2017, 55 (12) :3609-3629
[25]   Mapping the Impacts of Industry 4.0 on Performance Measurement Systems [J].
Lopes, M. ;
Martins, R. .
IEEE LATIN AMERICA TRANSACTIONS, 2021, 19 (11) :1912-1923
[26]  
Medic N., 2018, TEMS ISIE 2018 1 ANN, DOI [10.1109/TEMS-ISIE.2018.8478445, DOI 10.1109/TEMS-ISIE.2018.8478445]
[27]   Type-2 fuzzistics for symmetric interval type-2 fuzzy sets: Part 1, forward problems [J].
Mendel, Jerry M. ;
Wu, Hongwei .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2006, 14 (06) :781-792
[28]   On the Analytic Hierarchy Process Structure in Group Decision-Making Using Incomplete Fuzzy Information with Applications [J].
Rehman, Atiq Ur ;
Shekhovtsov, Andrii ;
Rehman, Nighat ;
Faizi, Shahzad ;
Salabun, Wojciech .
SYMMETRY-BASEL, 2021, 13 (04)
[29]   Hesitant Fuzzy Linguistic Term Sets for Decision Making [J].
Rodriguez, Rosa M. ;
Martinez, Luis ;
Herrera, Francisco .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2012, 20 (01) :109-119
[30]   Measuring the efficiency of hospitals: a fully-ranking DEA-FAHP approach [J].
Rouyendegh, Babak Daneshvar ;
Oztekin, Asil ;
Ekong, Joseph ;
Dag, Ali .
ANNALS OF OPERATIONS RESEARCH, 2019, 278 (1-2) :361-378