Examining Research Patterns and Concepts in Relation to Frameworks for Sustainable Supply Chain Management (SSCM)

Year : 2024 | Volume :01 | Issue : 02 | Page : 26-41
By

    Ashish Patel

  1. Anjana R

  1. Principal, Department of Mechanical Engineering, Shree Parekh Engineering College, Gujarat, India
  2. Assistant professor, Department of Mechanical Engineering, Laxmi Institute of Technology, Sarigam,, Gujarat, India

Abstract

Structures abound in writing about Sustainable Supply Chain Management (SSCM). Nevertheless, no effort has been made to date to identify the anomalies in the systems that are in place now and the associated research trends. This research is motivated primarily by a survey of SSCM structures and feature abnormalities. The analysis also promotes new applications and aids in the analysis of SSCM structure constructions and exploration patterns. Using the Scopus database, it concludes a few systems in the SSCM domain for the period of 2005–2022, employing space specialists and an organised writing audit technique. It involves building squares and developments as well as employing a series of purposefully designed requirements-based questions to obtain patterns. In specifically, system arrange, utilisation stage catching current exploration patterns, and build organise are the three distinct stages at which it finds abnormalities. It also provides intricacies at the level of development and Structural Square. As such, it provides guidance for reducing anomalies and possible modifications to current frameworks. It revealed current developments and sub-builds and provided information about upcoming business changes that will impact the SSCM industry. It also teaches about the advantages and disadvantages of each system. The inquiry will push for new procedures to promote applications and reduce irregularities, which will aid in changes or updates to current structures. This unique report helps with system development by identifying anomalies at every step, provides a structure-based survey, and illustrates study tendencies. It aids in reducing anomalies and provides guidance for alterations to the SSCM structure while considering upcoming challenges.

Keywords: Sustainable Supply Chain Management (SSCM), XYZ Dimentional, 3-D, SSCM Frame work, NGO

[This article belongs to International Journal of Industrial and Product Design Engineering(ijipde)]

How to cite this article: Ashish Patel, Anjana R , Examining Research Patterns and Concepts in Relation to Frameworks for Sustainable Supply Chain Management (SSCM) ijipde 2024; 01:26-41
How to cite this URL: Ashish Patel, Anjana R , Examining Research Patterns and Concepts in Relation to Frameworks for Sustainable Supply Chain Management (SSCM) ijipde 2024 {cited 2024 Mar 19};01:26-41. Available from: https://journals.stmjournals.com/ijipde/article=2024/view=135318


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References

  1. Abdullah, L. and Zulkifli, N. (2015) ‘Integration of fuzzy AHP and interval type-2 fuzzy DEMATEL: An application to human resource management’, Expert Systems with Applications. Elsevier Ltd, 42(9), pp. 4397–4409. doi: 10.1016/j.eswa.2015.01.021.
  2. Albliwi, S. et al. (2014) ‘Critical failure factors of Lean Six Sigma: a systematic literature review’, International Journal of Quality & Reliability Management, 31(9), pp. 1012–1030. doi: 10.1108/IJQRM-09-2013-0147.
  3. Arumugam, V., Antony, J. and Douglas, A. (2012) ‘Observation: a Lean tool for improving the effectiveness of Lean Six Sigma’, The TQM Journal, 24(3), pp. 275–287. doi: 10.1108/17542731211226781.
  4. Avikal, S., Mishra, P. K. and Jain, R. (2014) ‘A Fuzzy AHP and PROMETHEE method-based heuristic for disassembly line balancing problems’, International Journal of Production Research, 52(5), pp. 1306–1317. doi: 10.1080/00207543.2013.831999.
  5. Ayağ, Z. (2010) ‘A combined fuzzy AHP-simulation approach to CAD software selection’, International Journal of General Systems, 39(7), pp. 731–756. doi: 10.1080/03081079.2010.495190.
  6. Beikkhakhian, Y. et al. (2015) ‘The Application of ISM Model in Evaluating Agile Suppliers Selection Criteria and Ranking Suppliers Using Fuzzy TOPSIS-AHP Methods’, Expert Systems with Applications. Elsevier Ltd, 42(15–16), pp. 6224–6236. doi: 10.1016/j.eswa.2015.02.035.
  7. Beske, P. and Seuring, S. (2014) ‘Putting sustainability into supply chain management’, Supply Chain Management: An International Journal, 19(3), pp. 322–331. doi: 10.1108/SCM-12-2013-0432.
  8. Bhosale, V. A. and Kant, R. (2014) ‘Selection of best knowledge flow practicing organisation using hybrid fuzzy AHP-VIKOR method’, International Journal of Decision Sciences, Risk and Management, 5(3), pp. 234–262.
  9. Chan, F. T. S. et al. (2008) ‘Global supplier selection: a fuzzy-AHP approach’, International Journal of Production Research, 46(14), pp. 3825–3857. doi: 10.1080/00207540600787200.
  10. Chen, L.-H. and Hung, C.-C. (2010) ‘An integrated fuzzy approach for the selection of outsourcing manufacturing partners in pharmaceutical R&D’, International Journal of Production Research, 48(24), pp. 7483–7506. doi: 10.1080/00207540903365308.
  11. Curwen, L. G. (2012) ‘Challenges and solutions sustainable apparel product development: A case study of Eileen Fisher’, pp. 1–82.
  12. Ding, J.-F. (2011) ‘Applying fuzzy AHP approach to assess key value activities for ocean freight forwarders in Taiwan’, Journal of Interdisciplinary Mathematics, 14(3), pp. 331–346. doi: 10.1080/09720502.2011.10700755.
  13. Ganguly, K. K. and Guin, K. K. (2013) ‘A fuzzy AHP approach for inbound supply risk assessment’, Benchmarking: An International Journal, 20(1), pp. 129–146. doi: 10.1108/14635771311299524.
  14. Giannakis, M. and Papadopoulos, T. (2016) ‘Supply chain sustainability: A risk management approach’, International Journal of Production Economics. Elsevier, 171, pp. 455–470. doi: 10.1016/j.ijpe.2015.06.032.
  15. Gilinsky, A., Newton, S. K. and Vega, R. F. (2016) ‘Sustainability in the Global Wine Industry: Concepts and Cases’, Agriculture and Agricultural Science Procedia. Elsevier Srl, 8, pp. 37–49. doi: 10.1016/j.aaspro.2016.02.006.
  16. Guo, Z. et al. (2017) ‘Green Supplier Evaluation and Selection in Apparel Manufacturing Using a Fuzzy Multi-Criteria Decision-Making Approach’, Sustainability, 9(4), p. 650. doi: 10.3390/su9040650.
  17. He, T. et al. (2012) ‘A fuzzy AHP based integer linear programming model for the multi-criteria transshipment problem’, The International Journal of Logistics Management, 23(1), pp. 159–179. doi: 10.1108/09574091211226975.
  18. Hervani, A. A., Helms, M. M. and Sarkis, J. (2005) ‘Performance measurement for green supply chain management’, Benchmarking: An International Journal, 12(4), pp. 330–353. doi: 10.1108/14635770510609015.
  19. Huang, C.-T. et al. (2009) ‘A fuzzy AHP-based performance evaluation model for implementing SPC in the Taiwanese LCD industry’, International Journal of Production Research, 47(18), pp. 5163–5183. doi: 10.1080/00207540801935608.
  20. Inoue, H. . B. and Yamada, S. . (2013) ‘Critical factors for process improvement in pharmaceutical research’, TQM Journal, 25(2), pp. 141–152. doi: 10.1108/17542731311299582.
  21. Khan, S. A. R. et al. (2021) ‘A state-of-the-art review and meta-analysis on sustainable supply chain management: Future research directions’, Journal of Cleaner Production. Elsevier Ltd, 278, p. 123357. doi: 10.1016/j.jclepro.2020.123357.
  22. Kim, H. and Lee, C. W. (2018) ‘The effects of customer perception and participation in sustainable supply chain management: A smartphone industry study’, Sustainability (Switzerland), 10(7), pp. 1–19. doi: 10.3390/su10072271.
  23. Kudla, N. L. and Klaas-Wissing, T. (2012) ‘Sustainability in shipper-logistics service provider relationships: A tentative taxonomy based on agency theory and stimulus-response analysis’, Journal of Purchasing and Supply Management. Elsevier, 18(4), pp. 218–231. doi: 10.1016/j.pursup.2012.04.001.
  24. Kumar, A., Shankar, R. and Debnath, R. M. (2015) ‘Analyzing customer preference and measuring relative efficiency in telecom sector: A hybrid fuzzy AHP/DEA study’, Telematics and Informatics. Elsevier Ltd, 32(3), pp. 447–462. doi: 10.1016/j.tele.2014.10.003.
  25. Kumar, D. and Rahman, Z. (2015) Sustainability adoption through buyer supplier relationship across supply chain: A literature review and conceptual framework, International Strategic Management Review. Holy Spirit University of Kaslik. doi: 10.1016/j.ism.2015.04.002.
  26. Kumar, M. and Antony, J. (2008) ‘Comparing the quality management practices in UK SMEs’, Industrial Management & Data Systems, 108(9), pp. 1153–1166. doi: 10.1108/02635570810914865.
  27. Kuo, R. J., Lee, L. Y. and Hu, T.-L. (2010) ‘Developing a supplier selection system through integrating fuzzy AHP and fuzzy DEA: a case study on an auto lighting system company in Taiwan’, Production Planning & Control, 21(5), pp. 468–484. doi: 10.1080/09537280903458348.
  28. Lee, A. H. I. (2009) ‘A fuzzy AHP evaluation model for buyer–supplier relationships with the consideration of benefits, opportunities, costs and risks’, International Journal of Production Research, 47(15), pp. 4255–4280. doi: 10.1080/00207540801908084.
  29. Lieder, M. and Rashid, A. (2016) ‘Towards circular economy implementation: A comprehensive review in context of manufacturing industry’, Journal of Cleaner Production. Elsevier Ltd, pp. 36–51. doi: 10.1016/j.jclepro.2015.12.042.
  30. Lin, C. (2013) ‘Application of fuzzy Delphi method (FDM) and fuzzy analytic hierarchy process (FAHP) to criteria weights for fashion design scheme evaluation’, International Journal of Clothing Science and Technology, 25(3), pp. 171–183. doi: 10.1108/09556221311300192.
  31. Lintukangas, K., Hallikas, J. and Kähkönen, A.-K. (2015) ‘The Role of Green Supply Management in the Development of Sustainable Supply Chain’, Corporate Social Responsibility and Environmental Management, 22(6), pp. 321–333. doi: 10.1002/csr.1348.
  32. Luthra, S., Garg, D. and Haleem, A. (2014) ‘Green supply chain management: Implementation and performance – a literature review and some issues’, Journal of Advances in Management Research, 11(1), pp. 20–46. doi: 10.1108/JAMR-07-2012-0027.
  33. Mangla, S. K., Kumar, P. and Barua, M. K. (2014) ‘Flexible decision approach for analysing performance of sustainable supply chains under risks/uncertainty’, Global Journal of Flexible Systems Management, 15(2), pp. 113–130. doi: 10.1007/s40171-014-0059-8.
  34. McLean, R. and Antony, J. (2014) ‘Why continuous improvement initiatives fail in manufacturing environments? A systematic review of the evidence’, International Journal of Productivity and Performance Management, 63(3), pp. 370–376. doi: 10.1108/IJPPM-07-2013-0124.
  35. Mengistie, B. T., Mol, A. P. J. and Oosterveer, P. (2016) ‘Private Environmental Governance in the Ethiopian Pesticide Supply Chain: Importation, Distribution and Use’, NJAS – Wageningen Journal of Life Sciences. Royal Netherlands Society for Agriculture Sciences, 76, pp. 65–73. doi: 10.1016/j.njas.2015.11.005.
  36. Ng, C. Y. et al. (2012) ‘Evaluation of Eco design alternatives by integrating AHP and TOPSIS methodology under a fuzzy environment’, International Journal of Management Science and Engineering Management, 7(1), pp. 43–52. doi: 10.1080/17509653.2012.10671206.
  37. Parlak, A. I. et al. (2012) ‘Population behavioral scenarios influencing radiological disaster preparedness and planning’, Accident Analysis and Prevention. Elsevier Ltd, 48, pp. 353–362. doi: 10.1016/j.aap.2012.02.007.
  38. Patel, A. and Desai, T. N. (no date) ‘“Study Of Supply Chain Management Performance Method In Textile Industry”’.
  39. Patil, Sachin K. and Kant, R. (2014) ‘A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers’, Expert Systems with Applications. Elsevier Ltd, 41(2), pp. 679–693. doi: 10.1016/j.eswa.2013.07.093.
  40. Patil, Sachin K and Kant, R. (2014) ‘Ranking the barriers of knowledge management adoption in supply chain using fuzzy AHP method’, International Journal of Business Innovation and Research, 8(1), pp. 52–75.
  41. Pepper, M. P. J. and Spedding, T. a. (2010) ‘The evolution of lean Six Sigma’, International Journal of Quality & Reliability Management, 27(2), pp. 138–155. doi: 10.1108/02656711011014276.
  42. Samvedi, A., Jain, V. and Chan, F. T. S. (2013) ‘Quantifying risks in a supply chain through integration of fuzzy AHP and fuzzy TOPSIS’, International Journal of Production Research, 51(8), pp. 2433–2442. doi: 10.1080/00207543.2012.741330.
  43. Seuring, S. and Müller, M. (2008) ‘Core issues in sustainable supply chain management – A Delphi study’, Business Strategy and the Environment, 17(8), pp. 455–466. doi: 10.1002/bse.607.
  44. Shamsuddoha, M., Quaddus, M. and Klass, D. (2015) ‘Sustainable poultry production process to mitigate socio-economic challenge’, Humanomics, 31(3), pp. 242–259. doi: 10.1108/H-09-2012-0017.
  45. Shekarian, E. et al. (2022) ‘Sustainable Supply Chain Management: A Comprehensive Systematic Review of Industrial Practices’, Sustainability (Switzerland), 14(13), pp. 1–30. doi: 10.3390/su14137892.
  46. Shukla, R. K., Garg, D. and Agarwal, A. (2014) ‘An integrated approach of Fuzzy AHP and Fuzzy TOPSIS in modeling supply chain coordination’, Production & Manufacturing Research, 2(1), pp. 415–437. doi: 10.1080/21693277.2014.919886.
  47. Snee, R. D. (2010) ‘Lean Six Sigma – getting better all the time’, International Journal of Lean Six Sigma, 1(1), pp. 9–29. doi: 10.1108/20401461011033130.
  48. Su, Z., Zhang, M. and Wu, W. (2021) ‘Visualizing sustainable supply chain management: A systematic scientometric review’, Sustainability (Switzerland), 13(8). doi: 10.3390/su13084409.
  49. Yadav, G., Seth, D. and Desai, T. N. (2018) ‘Application of hybrid framework to facilitate lean six sigma implementation: a manufacturing company case experience’, Production Planning and Control. Taylor & Francis, 29(3), pp. 185–201. doi: 10.1080/09537287.2017.1402134.
  50. Zayed, E. O. and Yaseen, E. A. (2021) ‘Barriers to sustainable supply chain management implementation in Egyptian industries: an interpretive structural modeling (ISM) approach’, Management of Environmental Quality: An International Journal. Emerald Group Holdings Ltd., 32(6), pp. 1192–1209. doi: 10.1108/MEQ-12-2019-0271
Regular Issue Subscription Original Research
Volume 01
Issue 02
Received January 20, 2024
Accepted February 16, 2024
Published March 19, 2024
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