Global manufacturing businesses have contributed to energy and resource consumption, pollution. Along with governmental legislation, social and market pressure that growing as awareness about environmental issues increases. To tackle such problems the study focuses on the analysis of the direct consequence of Green Manufacturing (GM) practices on operational performance in the manufacturing industry. A model for evaluating the effect of GM is developed taking into consideration as a fundamental variable that affects the causal relationship between GM practices and operational performance.
A structural equation model was proposed and investigated across the manufacturing industry in India. A structured survey questionnaire was used to gather empirical data from 400 Indian companies. A total of 203 usable responses were obtained giving a response rate of 53%. The data was analyzed using SPSS- AMOS software.
The results revealed that GM practices directly and positively affected operational performance. The results indicated that the structural equation model remained invariant across the Industry.
The implementation of Green practices in manufacturing has been recognized as a mean to improve economic and environmental performance that increases competitiveness and urge innovation.
The study provides further evidence to managers and practitioners on the effect of GM practices on operational performance in developing countries like India.
Rehman MAA, Shrivastava RL. Green Manufacturing: Past, present, and future (a state of art review). World Review of science, Technology, and sustainable Development 2013; 10: 17-55. https://doi.org/10.1504/WRSTSD.2013.050784
Seliger G, Kim H-J, Kernbaum S, Zettl M. Approaches to sustainable manufacturing. International J Sustainability Manufacturing 2008; 1: 58-77. https://doi.org/10.1504/IJSM.2008.019227
Dilip Maruthi G, Rashmi R. Green Manufacturing: It's Tools and Techniques that can be implemented in Manufacturing Sectors. Materials Today: Proceedings 2015; 2: 3350-3355. https://doi.org/10.1016/j.matpr.2015.07.308
Rusinko CA. Green Manufacturing: An Evaluation of Environmentally Sustainable Manufacturing Practices and their Impact on Competitive Outcomes. IEEE Transactions on Engineering Management 2007; 54: 445 - 454. https://doi.org/10.1109/TEM.2007.900806
Mendler S, Odell W, Lazarus MA. The HOK Guidebook to Sustainable Design. New York: John Wiley & Sons 2005.
Cortellini R. Green manufacturing. International Operations and Information Systems Management OISM 2001.
Melnyk SA, Handfield R, Walton SV, Sroufe R. Applying environmental criteria to supplier assessment: a study in the application of the analytical hierarchy process. European Journal of Operational Research 2002; 141: 70-87. https://doi.org/10.1016/S0377-2217(01)00261-2
Leong WD, Lam HL, Ng WP, Lim CH, Tan CP, Ponnambalam SG. Lean and Green Manufacturing-a Review on its Applications and Impacts. Process Integration and Optimization for Sustainability 2019; 3: 5-23. https://doi.org/10.1007/s41660-019-00082-x
Liu Y, He M. Design of Green grade rating system for the environmental performance assessment of a firm. International Journal of Management and Enterprise Development 2005b; 2: 183-203. https://doi.org/10.1504/IJMED.2005.006310
Zhu Q, Sarkis J, Lai K. GSCM – Pressure and practices and performance within the Chinese automobile industries. Journal of Cleaner Production 2007; 15: 1041-1052. https://doi.org/10.1016/j.jclepro.2006.05.021
Gaikwad LM, Sunnapwar V. Critical Success Factors for Implementing Integrated Lean Green Six Sigma Strategies: A Framework. Journal of Industrial Engineering and its Applications 2020c; 5: 25-40.
Tseng M, Chiu A, Lin Y, Chinag J. The relationship of continuous improvement and cleaner production on operational performance: an empirical study in electronic manufacturing firms, Taiwan China. International Journal of Management Science and Engineering Management 2006; 1: 71-80. https://doi.org/10.1080/17509653.2006.10670999
Gaikwad LM, Sunnapwar V. An Integrated approach for Lean, Green and Six Sigma strategies: a systematic literature review and future directions for developing a specific framework. The TQM Journal 2020b; 32: 201-22. https://doi.org/10.1108/TQM-08-2018-0114
Ijomah WL, McMahon CA, Hammond GP, Newman ST. Development of design for remanufacturing guidelines to Robotics and Computer Integrated Manufacturing 2007; 23: 712-719. https://doi.org/10.1016/j.rcim.2007.02.017
Wossen K. Green dilemma. Journal of Marketing Intelligence and Planning 2001; 19: 444-455. https://doi.org/10.1108/EUM0000000006112
Cagno E, Trucco P, Tardini L. Cleaner production and profitability: analysis of industrial pollution prevention project report. International Journal of Cleaner Production 2005; 13: 593-605. https://doi.org/10.1016/j.jclepro.2003.12.025
Gaikwad LM, Sunnapwar V, Bhandarkar B. A Conceptual Framework for Manufacturing Organization to Implement Green Manufacturing. Journal of Industrial Mechanics 2019; 4: 25-35. https://doi.org/10.1007/s11771-005-0004-2
Liu F, Yin J-X, Cao H-J, He Y. Investigation and practices on GM in manufacturing system. Journal of Central South University Technology 2005a; 12: 18-24.
Thurston D, Hoffman W. Integrating customer preferences into Green design and manufacturing. IEEE Electronics and the environment, ISEE -1999, Proceeding of the International Symposium 1999; 209-214.
Schiavone F, Pierini M, Eckert V. Strategy based approach to eco design. International Journal of Sustainable Design 2008; 1: 29-44. https://doi.org/10.1504/IJSDES.2008.017055
Harris LC, Crane A. The greening of organizational cultural: management views on the depth, degree and diffusion of change. Journal of Organizational Change Management 2002; 15: 214-234. https://doi.org/10.1108/09534810210429273
Gaikwad LM, Sunnapwar V. Development of an integrated framework of LGSS strategies for Indian manufacturing firms to improve business performance: An empirical study. The TQM Journal 2020a; ISSN: 1754-2731. https://doi.org/10.1108/TQM-05-2020-0110
Yang YS, Lu GH, Gu XY, Yamamoto R. Greenness Assessment of products in PLCA by DEA approach. Journal of Materials Transactions 2003; 44: 645-648. https://doi.org/10.2320/matertrans.44.645
Wu T, Fowler T, Callerman J, Moorehead T. Multistage DEA as a measure of progress in environment benign manufacturing. Proceedings of the Flexible automation and Intelligent manufacturing. FAIM 2006; pp. 1-8, Limerick, Ireland. 2006.
Madu CN, Kuei C, Ifeanyi E. A hierarchic metric approach for integration of green issues in manufacturing: a paper recycling application. Journal of Environmental Management 2002; 64: 261-272. https://doi.org/10.1006/jema.2001.0498
Lee SG, Lye SW, Khoo MK. A multi-objective methodology for evaluating product end of life options and disassembly. Int. J. Advanced Manufacturing Technology 2001; 18: 148-156. https://doi.org/10.1007/s001700170086
Allen D, Bauer D, Bras B, Gutowski T, Murphy C, Sutherland J, Thurston D, Wolff E. Environmental benign manufacturing: trends in EU, Japan, USA. International Journal of manufacturing science and Engineering ASME, 2002; 124: 908-920. https://doi.org/10.1115/1.1505855
Durham. Environmental benign manufacturing: current practices and future trends. Journal of the Minerals, Metals and materials society 2002; 54: 34-37. https://doi.org/10.1007/BF02701694
Gehin A, Zwolinski P, Brissaud D. A tool to implement sustainable end-of-life strategies in the product development phase. Journal of Cleaner Production 2008; 16: 566-576. https://doi.org/10.1016/j.jclepro.2007.02.012
Gandhi NMD, Selladurai V, Santhi P. Green productivity indexing. International Journal of Productivity and Performance Management 2006; 55: 594-606. https://doi.org/10.1108/17410400610702179
Sroufe R. Effects of Environmental management systems on Environmental management practices and operations. Journal of Production and Operations Management 2003; 12: 416-431. https://doi.org/10.1111/j.1937-5956.2003.tb00212.x
Ramakrishnan L, Fiema C. Env. Regional Environmental Coordinator Philips Lighting, Asia, available at http://www.igpn.org/workshop/pdf/PhilipsGreenMfgring pdf (accessed in Jan. 2011). 2006.
Mukherjee and Kathuria. Is Economic growth sustainable? Environmental quality of Indian States after 1991. Journal International Journal of Sustainable Development 2006; 9: 38-60. https://doi.org/10.1504/IJSD.2006.010937
Forza C. Survey Research in Operations Management: A Process-Based Perspective. International Journal of Operations & Production Management 2002; 22: 152-194. https://doi.org/10.1108/01443570210414310
Carmines EG, Zeller RA. Reliability and Validity Assessment.’ Thousand Oaks, CA: Sage Publications 1979. https://doi.org/10.4135/9781412985642
Marsh HW, Hocevar D. Application of confirmatory factor analysis to the study of self-concept: First- and higher order factor models and their invariance across groups. Psychological Bulletin 1985; 97: 562-582. https://doi.org/10.1037/0033-2909.97.3.562
Wheaton B, Muthén B, Alwin DF, Summers GF. Assessing reliability and stability in panel models. Sociological Methodology 1977; 8: 84-136. https://doi.org/10.2307/270754
Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate Data Analysis. 7th ed. Upper Saddle River, NJ: Prentice Hall. 2010.
Bentler PM, Bonett DG. Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin 1980; 88: 588-606. https://doi.org/10.1037/0033-2909.88.3.588
Bollen KA. Structural Equations with Latent Variables. John Wiley and Sons, Inc., New York, 1989. https://doi.org/10.1002/9781118619179
Jöreskog KG, Sorbom D. LISREL VII: Analysis of Linear Structural Relationships by Maximum Like Hood and Least Square Methods. Scientific Software, Inc., Mooresville, IN. 1984.
Tanaka JS, Huba GJ. A fit index for covariance structures model under arbitaray GLS estimation. British Journal of Mathematical and Statistical Psychology 1985; 38: 197-208. https://doi.org/10.1111/j.2044-8317.1985.tb00834.x
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.