Modeling Supply Chain Sustainability-Related Risks and Vulnerability: Insights from the Textile Sector of Pakistan

• Autorzy: Hashim Muhammad , Nazam Muhammad , Zia-ur-Rehman Muhammad , Abrar Muhammad , Baig Sajjad Ahmad , Nazim Muhammad , Hussain Zahid

Identyfikatory

DOI

10.2478/aut-2021-0008

• Języki publikacji: EN

Abstrakty

EN

Sustainability-related risk and vulnerability management have attained significant attention from academia and industry. Manufacturing industries in developing countries such as Pakistan are under severe economic pressure and striving to boost sustainable supply chain practices for achieving business excellence. In this context, the objectives of the present research are to examine the critical supply chain risks associated with sustainable development goals, namely social, economic, and environmental factors. The failure mode and effect analysis (FMEA) technique is employed for categorizing the risk factors and Pareto analysis for highlighting the more crucial and risky factors. For this purpose, a large-scale survey was carried out in the textile industries of Pakistan to develop a risk mitigation model for sustainability-related risks and vulnerability in a textile supply chain (TSC). It captures the input expressions of experts for risk factors, namely severity (s), occurrence (o), and detection (d) for calculating the risk priority numbers (RPNs) of identified alternatives. The results depict that endogenous environmental risks categorize as the most significant for the textile manufacturing industries, and the interfaces between the various risks associated with sustainability-related are also found very high. This study would be a toolkit for the industrial managers and policy-makers for creating sustainable manufacturing culture on organizational premises.

Słowa kluczowe

EN

risk mitigation; FMEA; Pareto analysis; cause and effect analysis

PL

ograniczanie ryzyka; FMEA; analiza Pareto; analiza przyczynowo-skutkowa

• Wydawca: Lodz University of Technology, Faculty of Material Technologies and Textile Design
• Czasopismo: Autex Research Journal
• Rocznik: 2022
• Tom: Vol. 22, no. 1
• Strony: 123--134
• Opis fizyczny: Bibliogr. 40 poz.

Twórcy

autor

Hashim Muhammad

• Faisalabad Business School, National Textile University, Faisalabad, Pakistan

autor

Nazam Muhammad

• Institute of Business Management Sciences, University of Agriculture, Faisalabad, Pakistan

autor

Zia-ur-Rehman Muhammad

• Faisalabad Business School, National Textile University, Faisalabad, Pakistan

autor

Abrar Muhammad

• Lyallpur Business School, Government College University, Faisalabad, Pakistan

autor

Baig Sajjad Ahmad

• Faisalabad Business School, National Textile University, Faisalabad, Pakistan

autor

Nazim Muhammad

• Department of Management Sciences, Khawaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan

autor

Hussain Zahid

• Faisalabad Business School, National Textile University, Faisalabad, Pakistan

Bibliografia

• [1] Gurnani, H., Ray, S., Wang, Y. (2011). Special issue of production and operations management: “global supply chain risk management.” Production and Operations Management, 5(20), 786.
• [2] Hashim, M., Nazam, M., Yao, L., Baig, S. A., Abrar, M., Zia-ur-Rehman, M. (2017). Application of multi-objective optimization based on genetic algorithm for sustainable strategic supplier selection under fuzzy environment. Journal of Industrial Engineering and Management, 10(2), 188–212.
• [3] Jabbour, C. J. C., de Sousa Jabbour, A. B. L., Sarkis, J. (2019). Unlocking effective multi-tier supply chain management for sustainability through quantitative modeling: lessons learned and discoveries to be made. International Journal of Production Economics, 217, 11–30.
• [4] Narasimhan, R., Talluri, S. (2009). Perspectives on risk management in supply chains. Elsevier.
• [5] Nazam, M., Xu, J., Tao, Z., Ahmad, J., Hashim, M. (2015). A fuzzy AHP-TOPSIS framework for the risk assessment of green supply chain implementation in the textile industry. International Journal of Supply and Operations Management, 2(1), 548.
• [6] Nazam, M., Hashim, M., Randhawa, M. A., Maqbool, A. (2019). Modeling the barriers of sustainable supply chain practices: A Pakistani perspective. International Conference on Management Science and Engineering Management, pp. 348–364.
• [7] Tang, O., Matsukawa, H., Nakashima, K. (2012). Supply chain risk management. International Journal of Production Economics, 139(1), 1–2. doi: 10.1016/j.ijpe.2012.06.015.
• [8] Sodhi, M. S., Son, B., Tang, C. S. (2012). Researchers’ perspectives on supply chain risk management. Production and Operations Management, 21(1), 1–13.
• [9] Brandenburg, M., Govindan, K., Sarkis, J., Seuring, S. (2014). Quantitative models for sustainable supply chain management: Developments and directions. European Journal of Operational Research, 233(2), 299–312.
• [10] El Saadany, A. M. A., Jaber, M. Y. (2008). Coordinating a two-level supply chain with production interruptions to restore process quality. Computers & Industrial Engineering, 54(1), 95–109.
• [11] Hofmann, H., Busse, C., Bode, C., Henke, M. (2014). Sustainability-related supply chain risks: Conceptualization and management. Business Strategy and the Environment, 23(3), 160–172.
• [12] Dyck, B., Silvestre, B. S. (2018). Enhancing socioecological value creation through sustainable innovation 2.0: Moving away from maximizing financial value capture. Journal of Cleaner Production, 171, 1593–1604.
• [13] Reinerth, D., Busse, C., Wagner, S. M. (2019). Using country sustainability risk to inform sustainable supply chain management: A design science study. Journal of Business Logistics, 40(3), 241–264.
• [14] Grüninger, B., Teuscher, P., Ferdinand, N. (2005). Risk management in sustainable supply chain management (SSCM): Lessons learnt from the case of GMO-free soybeans.
• [15] Wu, T., Blackhurst, J. V. (2009). Managing supply chain risk and vulnerability: tools and methods for supply chain decision makers. Springer Science & Business Media.
• [16] Hallikas, J., Virolainen, V.-M., Tuominen, M. (2002). Risk analysis and assessment in network environments: A dyadic case study. International Journal of Production Economics, 78(1), 45–55.
• [17] Tang, C. S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103(2), 451–488.
• [18] Tuncel, G., Alpan, G. (2010). Risk assessment and management for supply chain networks: A case study. Computers in Industry, 61(3), 250–259.
• [19] Chin, K.-S., Chan, A., Yang, J.-B. (2008). Development of a fuzzy FMEA based product design system. The International Journal of Advanced Manufacturing Technology, 36(7–8), 633–649.
• [20] Pillay, A., Wang, J. (2003). Modified failure mode and effects analysis using approximate reasoning. Reliability Engineering & System Safety, 79(1), 69–85.
• [21] Sharma, R. K., Kumar, D., Kumar, P. (2005). Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modelling. International Journal of Quality & Reliability Management.
• [22] Barrow, C. J. (2018). Environmental vulnerability and resilience. The International Encyclopedia of Anthropology, pp. 1–9.
• [23] Kumar, G., Banerjee, R. N. (2012). Collaboration in supply chain. International Journal of Productivity and Performance Management.
• [24] Seuring, S., Müller, M. (2008). From a literature review to a conceptual framework for sustainable supply chain management. Journal of Cleaner Production, 16(15), 1699–1710.
• [25] Testa, F., Iraldo, F. (2010). Shadows and lights of GSCM (Green Supply Chain Management): Determinants and effects of these practices based on a multi-national study. Journal of Cleaner Production, 18(10–11), 953–962.
• [26] Hollos, D., Blome, C., Foerstl, K. (2012). Does sustainable supplier co-operation affect performance? Examining implications for the triple bottom line. International Journal of Production Research, 50(11), 2968–2986.
• [27] Zhu, Q., Sarkis, J., Lai, K. (2012). Examining the effects of green supply chain management practices and their mediations on performance improvements. International Journal of Production Research, 50(5), 1377–1394.
• [28] Kleindorfer, P. R., Saad, G. H. (2005). Managing disruption risks in supply chains. Production and Operations Management, 14(1), 53–68.
• [29] Huatuco, L. D. H., Montoya-Torres, J. R., Shaw, N., Calinescu, A., Wang, Z., et al. (2013). Investigating the relationship of sustainable supply chain management with corporate financial performance. International Journal of Productivity and Performance Management.
• [30] Faisal, M. N. (2009). Prioritization of risks in supply chains. In: Managing supply chain risk and vulnerability. Springer, pp. 41–66.
• [31] Viere, T., Schaltegger, S., von Enden, J. (2007). Using supply chain information for EMA–the case of a Vietnamese coffee exporter. Issues in Social and Environmental Accounting, 1(2), 296–310.
• [32] Chopra, S., Sodhi, M. S. (2004). Supply-chain breakdown. MIT Sloan Management Review, 46(1), 53–61.
• [33] Hallikas, J., Karvonen, I., Pulkkinen, U., Virolainen, V.-M., Tuominen, M. (2004). Risk management processes in supplier networks. International Journal of Production Economics, 90(1), 47–58.
• [34] Zsidisin, G. A., Ellram, L. M., Carter, J. R., Cavinato, J. L. (2004). An analysis of supply risk assessment techniques. International Journal of Physical Distribution & Logistics Management.
• [35] Xie, C., Anumba, C. J., Lee, T., Tummala, R., Schoenherr, T. (2011). Assessing and managing risks using the supply chain risk management process (SCRMP). Supply Chain Management: An International Journal.
• [36] Karakayaa, G., Ghorbanib, S. (0000). Prioritizing of risk components in the perishable goods supply chain and supplier selection in supply chain risk management.
• [37] UN Global Compact. (2010). Fighting corruption in the supply chain: A guide for customers and suppliers. United Nations (New York).
• [38] Haksöz, Ç., Özgür, A. (2011). Enerjisa: managing procurement risks in Turkish energy industry.
• [39] Heckmann, I., Comes, T., Nickel, S. (2015). A critical review on supply chain risk – Definition, measure and modeling. Omega, 52, 119–132.
• [40] Sinha, P. R., Whitman, L. E., Malzahn, D. (2004). Methodology to mitigate supplier risk in an aerospace supply chain. Supply Chain Management: An International Journal.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).