Lean-green performance management in Indian SMEs: a novel perspective using the best-worst method approach

被引:27
|
作者
Ahmad, Shaad [1 ]
Abdullah, Ahmad [1 ]
Talib, Faisal [1 ]
机构
[1] Aligarh Muslim Univ, Dept Mech Engn, Fac Engn & Technol, Zakir Husain Coll Engn & Technol, Aligarh, Uttar Pradesh, India
关键词
Best-Worst method (BWM); Lean manufacturing; Green manufacturing; Sensitivity analysis; SMEs; India; MEDIUM-SIZED ENTERPRISES; SUPPLY CHAIN MANAGEMENT; ENVIRONMENTAL-MANAGEMENT; PRODUCT DEVELOPMENT; MANUFACTURING PRACTICES; 6; SIGMA; IMPLEMENTATION; IMPACT; SUSTAINABILITY; SYSTEMS;
D O I
10.1108/BIJ-05-2020-0255
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Purpose In a globalized environment, small and medium enterprises (SMEs) are facing formidable challenges. Not only do they have to keep up their profitability, but there is also a pressure from various stakeholders to add to their environmental and quality performance .The solution obviously lies in continuously adopting and improving upon lean-green practices in their operations. This work aims at identifying, classifying and building up a duly tested robust ranked-order model of such "enablers", related to lean-green practices, that puts them (the enablers) in an order of being the most significant to being the least significant further to be accorded the same or similar weight in strategy formulation and implementation stage by Indian SMEs for enhancing their overall organizational performance. Design/methodology/approach The study identifies 20 enablers (12 lean and 08 green manufacturing enablers) through extensive literature review and experts' opinion survey and classifies them into three main categories. The ranking and significance of each of the main and subcategory enablers is evaluated according to its weight which is determined by the best-worst method (BWM) approach, one of the novel multi-criteria decision-making (MCDM) methods. Further, the results have been drawn after running accuracy check of the rankings (based upon optimal weights) and testing the robustness of the ranked-order model through sensitivity analysis. Findings The results of this study reveal that out of the three main category enablers, "operational performance enablers (E1)" and "quality performance enablers (E3)" are the most and the least significant enablers, while in the group of 20 subcategory enablers, "Kaizen (E17)" and "environment emission control (E28)" are the most and the least significant subcategory enablers, respectively. Practical implications The prioritization model or ranked-order model of the lean-green manufacturing enablers proposed through this study may serve as a standard model to managers to help them decide and allocate their efforts and resources accordingly in managing their operations. This will also help them adopt high-ranking lean-green manufacturing enablers in their firms and benchmark and standardize their existing practices accordingly, leading to greater competitive advantage. Originality/value The study identifies various green-lean manufacturing enablers in SMEs, classifies them into three main categories and ranks them using BWM approach. The findings of this study should be extremely relevant to managers, manufacturing engineers and practitioners in Indian SMEs from the perspective of developing deeper appreciation of these enablers as per their relative ranked importance to further formulating an effective and efficient strategy for their implementation resulting in optimal results.
引用
收藏
页码:737 / 765
页数:29
相关论文
共 50 条
  • [1] An investigation on lean-green performance of Indian manufacturing SMEs
    Thanki, Shashank
    Thakkar, Jitesh J.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTIVITY AND PERFORMANCE MANAGEMENT, 2020, 69 (03) : 489 - 517
  • [2] A framework for evaluating the barriers to adopting Industry 4.0 in Indian SMEs: an approach of best-worst method
    Kumar, Roshan
    Kumar, Pravin
    Singh, Rajesh Kumar
    Vaish, Anurika
    Sharma, Garima
    [J]. JOURNAL OF MANAGEMENT ANALYTICS, 2024,
  • [3] An investigation on lean-green implementation practices in Indian SMEs using analytical hierarchy process (AHP) approach
    Thanki, Shashank
    Govindan, Kannan
    Thakkar, Jitesh
    [J]. JOURNAL OF CLEANER PRODUCTION, 2016, 135 : 284 - 298
  • [4] An approach to using the best-worst method for supporting sustainability reporting decision-making in SMEs
    Rodriguez-Gutierrez, Pablo
    Guerrero-Baena, M. Dolores
    Luque-Vilchez, Mercedes
    Castilla-Polo, Francisca
    [J]. JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT, 2021, 64 (14) : 2618 - 2640
  • [5] A road map for the implementation of integrated JIT-lean practices in Indian manufacturing industries using the best-worst method approach
    Talib, Faisal
    Asjad, Mohammad
    Attri, Rajesh
    Siddiquee, Arshad Noor
    Khan, Zahid A.
    [J]. JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING, 2020, 37 (06) : 275 - 291
  • [6] Green operations management for sustainable development: An explicit analysis by using fuzzy best-worst method
    Gupta, Priyanshi
    Chawla, V. K.
    Jain, Vineet
    Angra, Surjit
    [J]. DECISION SCIENCE LETTERS, 2022, 11 (03) : 357 - 366
  • [7] Analyzing critical success factors of Lean Six Sigma for implementation in Indian manufacturing MSMEs using best-worst method
    Kumar, Sandeep
    Swarnakar, Vikas
    Phanden, Rakesh Kumar
    Antony, Jiju
    Jayaraman, Raja
    Khanduja, Dinesh
    [J]. BENCHMARKING-AN INTERNATIONAL JOURNAL, 2023,
  • [8] GREEN SUPPLIER SELECTION BASED ON THE INFORMATION SYSTEM PERFORMANCE EVALUATION USING THE INTEGRATED BEST-WORST METHOD
    Fazlollahtabar, Hamed
    Kazemitash, Navid
    [J]. FACTA UNIVERSITATIS-SERIES MECHANICAL ENGINEERING, 2021, 19 (03) : 345 - 360
  • [9] Sustainable entrepreneurship practices of Indian SMEs: A strategic approach using fuzzy Delphi and best worst method
    Ghag, Nikhil
    Sonar, Harshad
    [J]. BUSINESS STRATEGY AND THE ENVIRONMENT, 2024, 33 (03) : 1794 - 1809
  • [10] Sustainable Lean Six Sigma project selection in manufacturing environments using best-worst method
    Swarnakar, Vikas
    Singh, A. R.
    Antony, Jiju
    Tiwari, Anil Kr
    Garza-Reyes, Jose Arturo
    [J]. TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE, 2023, 34 (7-8) : 990 - 1014