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A quantitative framework for lean and green assessment of supply chain performance

Author

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  • Shashank Thanki
  • Jitesh Thakkar

Abstract

Purpose - The purpose of this paper is to propose a balanced scorecard (BSC)- and strategy map-based quantitative framework for assessing the lean and green performance of the supply chain (SC). As the SC competitiveness demands efficient and effective utilization of resources throughout the value chain, not only adoption of lean and green SC paradigms but simultaneously its performance evaluation is also vital. Design/methodology/approach - The lean and green SC performance measures are classified into four categories of BSC. A fuzzy decision-making trial and evaluation laboratory (DEMATEL) methodology combined with analytical network process is proposed for examining the causal relationships between BSC perspectives and respective assessment criteria. The application of the proposed assessment framework is demonstrated for the case of Indian textile SC. Findings - The research delivers a quantitative assessment framework for evaluating lean and green performance of the SC. The results obtained for a typical case of Indian textile SC revealed that “delivery performance,” “profitability” and “operational cost” are the most crucial performance measures. The perspective of “internal processes” is the most significant of all BSC perspectives while “learning and growth” perspective acts as the driving force to improve lean and green SC performance. Originality/value - The paper makes two contributions in the domain of lean and green assessment of SC performance. First, it proposes an evaluation framework to investigate into the causal relationships among the BSC perspectives and related factors. Second, it undertakes an empirical investigation for Indian textile SC to develop key managerial insights and provide policy-related recommendations.

Suggested Citation

  • Shashank Thanki & Jitesh Thakkar, 2018. "A quantitative framework for lean and green assessment of supply chain performance," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 67(2), pages 366-400, February.
    • Handle: RePEc:eme:ijppmp:ijppm-09-2016-0215
    DOI: 10.1108/IJPPM-09-2016-0215
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    Citations

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    Cited by:

    1. Shuang Yao & Donghua Yu & Yan Song & Hao Yao & Yuzhen Hu & Benhai Guo, 2018. "Dry Bulk Carrier Investment Selection through a Dual Group Decision Fusing Mechanism in the Green Supply Chain," Sustainability, MDPI, vol. 10(12), pages 1-19, November.
    2. Faissal Jelti & Amine Allouhi & Mahmut Sami Büker & Rachid Saadani & Abdelmajid Jamil, 2021. "Renewable Power Generation: A Supply Chain Perspective," Sustainability, MDPI, vol. 13(3), pages 1-22, January.
    3. Vikash Sharma & Rakesh D. Raut & Sachin Kumar Mangla & Balkrishna E. Narkhede & Sunil Luthra & Ravindra Gokhale, 2021. "A systematic literature review to integrate lean, agile, resilient, green and sustainable paradigms in the supply chain management," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 1191-1212, February.
    4. Aleksander Janeš & Armand Faganel, 2020. "Complementary Methods for Effective Decision Making," MIC 2020: The 20th Management International Conference,, University of Primorska Press.
    5. Mubarik, Muhammad Shujaat & Kazmi, Syed Hasnain Alam & Zaman, Syed Imran, 2021. "Application of gray DEMATEL-ANP in green-strategic sourcing," Technology in Society, Elsevier, vol. 64(C).
    6. Rodríguez-Espíndola, Oscar & Cuevas-Romo, Ana & Chowdhury, Soumyadeb & Díaz-Acevedo, Natalie & Albores, Pavel & Despoudi, Stella & Malesios, Chrisovalantis & Dey, Prasanta, 2022. "The role of circular economy principles and sustainable-oriented innovation to enhance social, economic and environmental performance: Evidence from Mexican SMEs," International Journal of Production Economics, Elsevier, vol. 248(C).
    7. Wilson Kosasih & I Nyoman Pujawan & Putu Dana Karningsih, 2023. "Integrated Lean-Green Practices and Supply Chain Sustainability for Manufacturing SMEs: A Systematic Literature Review and Research Agenda," Sustainability, MDPI, vol. 15(16), pages 1-28, August.
    8. Rodríguez-Espíndola, Oscar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel & Emrouznejad, Ali, 2022. "Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    9. R.S. Rogulin, 2021. "Model for Assessing the Effectiveness of the Formation of Sustainable Supply Chains of Raw Materials by Timber Industry Enterprises," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(1), pages 148-168.
    10. Syed Mithun Ali & Amanat Ur Rahman & Golam Kabir & Sanjoy Kumar Paul, 2024. "Artificial Intelligence Approach to Predict Supply Chain Performance: Implications for Sustainability," Sustainability, MDPI, vol. 16(6), pages 1-31, March.
    11. Xiaolong Bai, 2022. "Exploring the Sustainable Development Path of a Green Financial System in the Context of Carbon Neutrality and Carbon Peaking: Evidence from China," Sustainability, MDPI, vol. 14(23), pages 1-25, November.
    12. Muhammad Kamran Khalid & Mujtaba Hassan Agha & Syed Tasweer Hussain Shah & Muhammad Naseer Akhtar, 2020. "Conceptualizing Audit Fatigue in the Context of Sustainable Supply Chains," Sustainability, MDPI, vol. 12(21), pages 1-11, November.

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