Skip to main content
SpringerLink
Log in

Eco-Efficiency and Business Performance Evaluation—Lean and Green Manufacturing Approach

  • Conference paper
  • First Online:
Intelligent Manufacturing and Energy Sustainability

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 213))

Abstract

The environmental issues have been a serious talk lately from the manufacturing industry’s point of view. The purpose of this study is to analyse the factors that influence the eco-efficiency and the business performance of a company towards lean and green techniques. The enablers/criteria were identified as the factors influencing lean and green and were surveyed in manufacturing industries to evaluate their performance. Analytic hierarchy process was used to calculate the weights and prioritize the enablers. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) prioritizes the enablers based on lean, green, sustainable factors and is improved based upon the ranks. The driving and the dependency power of the enablers were determined using interpretive structural modelling (ISM). The supply chain operations reference (SCOR) method categorizes the enablers under major factors like plan, source, make, delivery, return and attributes such as reliability, responsiveness, agility, cost and assets management. The overall business performance value of an industry is determined using SNORM De Boer Normalization Process Method (SNORM) values and the weights obtained from analytic hierarchy process (AHP). This study indicates that industries are shifting gradually towards lean and green techniques. The decision-makers can understand the areas to concentrate, concerning lean and green, according to the performance value of the criteria and choose the appropriate performance model.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. T.M. Choi, Y. Li, Sustainability in fashion business operations. Sustainability 7(11), 15400–15406 (2015). https://doi.org/10.3390/su71115400

    Article  Google Scholar 

  2. V.K. Mittal, R. Sindhwani, V. Kalsariya, F. Salroo, K.S. Sangwan, P.L. Singh, Adoption of integrated lean-green-agile strategies for modern manufacturing systems. Proc. Cirp 61, 463–468 (2017)

    Article  Google Scholar 

  3. C.W. Chiet, N.T. Ching, S.L. Huat, M. Fathi, T.J. Tzuu, The integration of lean and green manufacturing for Malaysian manufacturers: a literature review to explore the synergies between lean and green model, in IOP Conference Series: Earth and Environmental Science, vol. 268 (IOP Publishing, 2019), p. 012066. https://doi.org/10.1088/1755-1315/268/1/012066

  4. M. Christopher, R. Lowson, H. Peck, Creating agile supply chains in the fashion industry. Int. J. Retail Distrib. Manag. 32(8), 367–376 (2004). https://doi.org/10.1108/09590550410546188

    Article  Google Scholar 

  5. G.A. Kiker, T.S. Bridges, A. Varghese, T.P. Seager, I. Linkov, Application of multicriteria decision analysis in environmental decision making. Int. Environ. Assess. Manag. Int. J. 1(2), 95–108 (2005). https://doi.org/10.1897/IEAM_2004a-015.1

    Article  Google Scholar 

  6. S. Thanki, K. Govindan, J. Thakkar, An investigation on lean-green implementation practices in Indian SMEs using analytical hierarchy process (AHP) approach. J. Clean. Prod. 135, 284–298 (2016). https://doi.org/10.1016/j.jclepro.2016.06.105

    Article  Google Scholar 

  7. M.S. Narassima, K.V. Shriram, S.P. Anbuudayasankar, Development of a priority dispatching rule and novel production scheduling algorithm for job shop. Int. J. Comput. Aided Eng. Technol. (in press)

    Google Scholar 

  8. H. Nikoomaram, M. Mohammadi, M.J. Taghipourian, Y. Taghipourian, Training performance evaluation of administration sciences instructors by fuzzy MCDM approach. Contemp. Eng. Sci. 2(12), 559–575 (2009)

    Google Scholar 

  9. M. Aruldoss, T.M. Lakshmi, V.P. Venkatesan, A survey on multi criteria decision making methods and its applications. Am. J. Inf. Syst. 1(1), 31–43 (2013). https://doi.org/10.12691/ajis-1-1-5

    Article  Google Scholar 

  10. V.M. Athawale, S. Chakraborty, Facility location selection using PROMETHEE II method, in Proceedings of the 2010 International Conference on Industrial Engineering and Operations Management (2010), pp. 9–10

    Google Scholar 

  11. R.Y. Kuswandi, A.Y. Ridwan, R. Ma’ali El Hadi, Development of monitoring reverse logistic system for leather tanning industry using SCOR model, in 2018 12th International Conference on Telecommunication Systems, Services, and Applications (TSSA) (IEEE Press, 2018), pp. 1–5. https://doi.org/10.1109/TSSA.2018.8708836

  12. A.N. Waaly, A.Y. Ridwan, M.D. Akbar (2018) Development of sustainable procurement monitoring system performance based on supply chain reference operation (SCOR) and analytical hierarchy process (AHP) on leather tanning industry, in MATEC Web of Conferences, vol. 204 (EDP Sciences, 2018), p. 01008. https://doi.org/10.1051/matecconf/201820401008

  13. W.D. Leong, S.Y. Teng, B.S. How, S.L. Ngan, H.L. Lam, C.P. Tan, S.G. Ponnambalam, Adaptive analytical approach to lean and green operations. J. Clean. Product. 235, 190–209 (2019). https://doi.org/10.1016/j.jclepro.2019.06.143

    Article  Google Scholar 

  14. C.K. Udokporo, A. Anosike, M. Lim, S.P. Nadeem, J.A. Garza-Reyes, C.P. Ogbuka, Impact of lean, agile and green (LAG) on business competitiveness: an empirical study of fast-moving consumer goods businesses. Resour. Conserv. Recycl. 156, 104714 (2020). https://doi.org/10.1016/j.resconrec.2020.104714

    Article  Google Scholar 

  15. P. Puvanasvaran, H. Megat, T.S. Hong, M.M. Razali, A.M. Hamouda, Lean process management implementation through enhanced problem-solving capabilities. J. Ind. Eng. Manag. (JIEM) 3, 447–493 (2010). https://doi.org/10.3926/jiem.v3n3.p447-493

    Article  Google Scholar 

  16. S. Prasad, S.K. Sharma, Lean and green manufacturing: concept and its implementation in operations management. Int. J. Adv. Mech. Eng. 4(5), 2250–3234 (2014)

    Google Scholar 

  17. M. Martinez-Luengo, A. Kolios, L. Wang, Structural health monitoring of offshore wind turbines: a review through the statistical pattern recognition paradigm. Renew. Sustain. Energy Rev. 64, 91–105 (2016). https://doi.org/10.1016/j.rser.2016.05.085

    Article  Google Scholar 

  18. L. Song, Q. Li, G.F. List, Y. Deng, P. Lu, Using an AHP-ISM based method to study the vulnerability factors of urban rail transit system. Sustainability 9(6), 1065 (2017). https://doi.org/10.3390/su9061065

    Article  Google Scholar 

  19. K. Mathiyazhagan, K. Govindan, A. NoorulHaq, Y. Geng, An ISM approach for the barrier analysis in implementing green supply chain management. J. Clean. Product. 47, 283–297 (2013). https://doi.org/10.1016/j.jclepro.2012.10.042

    Article  Google Scholar 

  20. A. Hasibuan, M. Arfah, L. Parinduri, T. Hernawati, B. Harahap, S.R. Sibuea, O.K. Sulaiman, Performance analysis of supply chain management with supply chain operation reference model. J. Phys. Conf. Ser. 1007, 012029 (2018). https://doi.org/10.1088/1742-6596/1007/1/012029

    Article  Google Scholar 

  21. E. Kusrini, M.A.B. Rifai, S. Miranda, Performance measurement using supply chain operation reference (SCOR) model: a case study in a small-medium enterprise (SME) in Indonesia. IOP Conf. Ser. Mater. Sci. Eng. 697, 012014 (2019). https://doi.org/10.1088/1757-899X/697/1/012014

    Article  Google Scholar 

  22. D.F. Simpson, D.J. Power, Use the supply relationship to develop lean and green suppliers. Supp. Chain Manag. Int. J. 10(1), 60–68 (2005). https://doi.org/10.1108/13598540510578388

    Article  Google Scholar 

  23. S. Agarwal, V. Agrawal, J.K. Dixit, Green manufacturing: a MCDM approach. Mater. Today Proc. (2020). https://doi.org/10.1016/j.matpr.2020.02.595

    Article  Google Scholar 

  24. A. Fercoq, S. Lamouri, V. Carbone, A. Lelièvre, A.A. Lemieux, Combining lean and green in manufacturing: a model of waste management. IFAC Proc. 46(9), 117–122 (2013). https://doi.org/10.3182/20130619-3-RU-3018.00164

    Article  Google Scholar 

  25. S. Kumar, R. Kant, Supplier selection process enablers: an interpretive structural modeling approach. Int. J. Mech. Ind. Eng. 3(1), 89–95 (2013)

    Google Scholar 

  26. T.L. Saaty, How to make a decision: the analytic hierarchy process. Eur. J. Oper. Res. 48(1), 9–26 (1990)

    Article  Google Scholar 

  27. O.S. Vaidya, S. Kumar, Analytic hierarchy process: An overview of applications. Eur. J. Oper. Res. 169(1), 1–29 (2006). https://doi.org/10.1016/j.ejor.2004.04.028

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, 641112, India

    R. Kishore, R. Pradeep, Suyash Roy, K. Ravi Teja, M. S. Narassima & S. P. Anbuudayasankar

  2. Head Supply Chain Management—Center of Competence, McKinsey & Company Inc., Chennai, 600113, India

    K. Ganesh

Authors
  1. R. Kishore
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. R. Pradeep
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Suyash Roy
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. K. Ravi Teja
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. M. S. Narassima
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. K. Ganesh
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. S. P. Anbuudayasankar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. P. Anbuudayasankar .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, Malla Reddy College Engineering and Technology, Secunderabad, Telangana, India

    A.N.R. Reddy

  2. Department of Mechanical Engineering, Indian Institute of Technology Bombay, Mumbai, India

    Deepak Marla

  3. Department of Informatics and Computer Techniques, Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

  4. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kishore, R. et al. (2021). Eco-Efficiency and Business Performance Evaluation—Lean and Green Manufacturing Approach. In: Reddy, A., Marla, D., Favorskaya, M.N., Satapathy, S.C. (eds) Intelligent Manufacturing and Energy Sustainability. Smart Innovation, Systems and Technologies, vol 213. Springer, Singapore. https://doi.org/10.1007/978-981-33-4443-3_75

Download citation

  • DOI: https://doi.org/10.1007/978-981-33-4443-3_75

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4442-6

  • Online ISBN: 978-981-33-4443-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation