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
[1]   Developing a key performance indicators tree for lean and smart production systems [J].
Ante, G. ;
Facchini, F. ;
Mossa, G. ;
Digiesi, S. .
IFAC PAPERSONLINE, 2018, 51 (11) :13-18
[2]   Spherical fuzzy sets and their applications in multi-attribute decision making problems [J].
Ashraf, Shahzaib ;
Abdullah, Saleem ;
Mahmood, Tahir ;
Ghani, Fazal ;
Mahmood, Tariq .
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 36 (03) :2829-2844
[3]   MORE ON INTUITIONISTIC FUZZY-SETS [J].
ATANASSOV, KT .
FUZZY SETS AND SYSTEMS, 1989, 33 (01) :37-45
[4]   INTUITIONISTIC FUZZY-SETS [J].
ATANASSOV, KT .
FUZZY SETS AND SYSTEMS, 1986, 20 (01) :87-96
[5]   A novel spherical fuzzy AHP-integrated spherical WASPAS methodology for petrol station location selection problem: a real case study for Istanbul [J].
Ayyildiz, Ertugrul ;
Taskin Gumus, Alev .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (29) :36109-36120
[6]   Multicriteria Inventory ABC Classification in an Automobile Rubber Components Manufacturing Industry [J].
Balaji, K. ;
Kumar, V. S. Senthil .
VARIETY MANAGEMENT IN MANUFACTURING: PROCEEDINGS OF THE 47TH CIRP CONFERENCE ON MANUFACTURING SYSTEMS, 2014, 17 :463-468
[7]   Industry 4.0 and sustainability: Towards conceptualization and theory [J].
Beltrami, Mirjam ;
Orzes, Guido ;
Sarkis, Joseph ;
Sartor, Marco .
JOURNAL OF CLEANER PRODUCTION, 2021, 312
[8]  
Buyukozkan Gulcin, 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), P598, DOI 10.1007/978-3-030-23756-1_73
[9]   A Multi-criteria Usability Assessment of Similar Types of Touch Screen Mobile Phones [J].
Eraslan, Ergun .
JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS, 2013, 20 (3-4) :185-195
[10]   A New Method to Support Decision-Making in an Uncertain Environment Based on Normalized Interval-Valued Triangular Fuzzy Numbers and COMET Technique [J].
Faizi, Shahzad ;
Salabun, Wojciech ;
Ullah, Samee ;
Rashid, Tabasam ;
Wieckowski, Jakub .
SYMMETRY-BASEL, 2020, 12 (04)