Benchmarking model to analyse ISCM performance of selected Indian manufacturing industries using fuzzy AHP technique

被引:0
|
作者
Kailash [1 ]
Saha R.K. [1 ]
Goyal S. [1 ]
机构
[1] Department of Mechanical Engineering, YMCA University of Science and Technology, Haryana, Faridabad
关键词
AHP technique; Analytic hierarchy process technique; Benchmarking model; Fuzzy logic; Internal supply chain management; ISCM; Key performance indicators; KPI's; MCDM; Multi criteria decision making;
D O I
10.1504/IJISE.2019.102038
中图分类号
学科分类号
摘要
Competing globally with world class industries, Indian manufacturing industries need to brace itself with benchmarking models and continuous self-improvement. Internal supply chain management (ISCM) performance may be focused in particular to create a niche over others. Proper understanding of key performance indicators of ISCM is necessary to analyse the gaps. A suitable methodology is also required to interpret the loopholes in order to remove them. A combined approach of fuzzy logic and analytic hierarchy process (AHP) technique is used for better result of theoretical benchmarking model. Comparison control bar charts are also used to view the performance gap between internal supply chains of selected manufacturing competitors. The primary purpose of this paper is to identify worst performance measures by implementation of benchmarking model, fuzzy logic and AHP methodology. © 2019 Inderscience Enterprises Ltd.
引用
收藏
页码:1 / 16
页数:15
相关论文
共 44 条
  • [1] A benchmarking model for Indian service industries using MICMAC and WISM approach
    Singh B.
    Grover S.
    Singh V.
    International Journal of System Assurance Engineering and Management, 2017, 8 (Suppl 2) : 1266 - 1281
  • [2] Analysis of factors affecting core functional competencies in manufacturing industries using fuzzy AHP
    Singh, Rajdeep
    INTERNATIONAL JOURNAL OF MATERIALS & PRODUCT TECHNOLOGY, 2024, 68 (1-2): : 158 - 168
  • [3] Assessment of safety performance in Indian industries using fuzzy approach
    Beriha, G. S.
    Patnaik, B.
    Mahapatra, S. S.
    Padhee, S.
    EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (03) : 3311 - 3323
  • [4] MCDM TOOLS APPLICATION FOR SELECTION OF SUPPLIERS IN MANUFACTURING INDUSTRIES USING AHP, FUZZY LOGIC AND ANN
    Nallusamy, S.
    Kumar, D. Sri Lakshmana
    Balakannan, K.
    Chakraborty, P. S.
    INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH IN AFRICA, 2015, 19 : 130 - 137
  • [5] Analytic Hierarchy Process (AHP) Model for Evaluating Sustainable Manufacturing Practices in Indian Electrical Panel Industries
    Gupta, Sumit
    Dangayach, G. S.
    Singh, Amit Kumar
    Rao, P. N.
    OPERATIONS MANAGEMENT IN DIGITAL ECONOMY, 2015, 189 : 208 - 216
  • [6] Prioritization and Ranking of indicators of sustainable manufacturing in Indian MSMEs using fuzzy AHP approach
    Gani, Abdul
    Asjad, Mohammad
    Talib, Faisal
    MATERIALS TODAY-PROCEEDINGS, 2021, 46 : 6631 - 6637
  • [7] An analysis of hurdles for ecofriendly lean production in Indian manufacturing industries using AHP-ELECTRE approach
    Arora, Arun
    Singh, Vijay Kumar
    Singh, Mahipal
    INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, 2024, 18 (08): : 5961 - 5976
  • [8] Prioritization of barriers for Industry 4.0 adoption in the context of Indian manufacturing industries using AHP and ANP analysis
    Nimawat, Dheeraj
    Gidwani, B. D.
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2021, 34 (11) : 1139 - 1161
  • [9] PERFORMANCE EVALUATION MODEL OF ROMANIAN MANUFACTURING LISTED COMPANIES BY FUZZY AHP AND TOPSIS
    Ban, Adrian Joan
    Ban, Olimpia Juliana
    Bogdan, Victoria
    Popa, Diana Claudia Sabau
    Tuse, Delia
    TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, 2020, 26 (04) : 808 - 836
  • [10] Evaluating key factors of sustainable manufacturing in Indian automobile industries using Analytic Hierarchy Process (AHP)
    Shukla, Om Ji
    Jangid, Vishnu
    Siddh, Man Mohan
    Soni, Gunjan
    Kumar, Rajesh
    2017 INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL, INDUSTRIAL, AUTOMATION AND MANAGEMENT SYSTEMS (AMIAMS) - PROCEEDINGS, 2017, : 42 - 47