Collaboration in Supply Chain 4.0 based on Trust with Fuzzy Hierarchical Analysis (Case Study: FMCG Industries)
Subject Areas : Fuzzy Optimization and Modeling Journal
Aminmasoud Bakhshi Movahed
1
(Faculty of Management, Economics and Progress Engineering, Iran University of Science and Technology, Iran)
Alireza Aliahmadi
2
(Faculty of Management, Economics and Progress Engineering, Iran University of Science and Technology, Iran)
Mohammadreza Parsanejad
3
(Faculty of Management, Economics and Progress Engineering, Iran University of Science and Technology, Iran)
Keywords: Industry 4.0, Meta-synthesis, Fuzzy Hierarchical Analysis, Fast-moving Consumer Goods Industry,
Abstract :
This study aims to analyze collaboration in supply chain 4.0. To attain these objective initiators, barriers, and outcome of the collaboration concept are categorized by a meta-synthesis method. In this classification, Industry 4.0 technologies were among the most important initiators, and sustainable performance and trust were considered the most important results. In the next part of the research, the impact of trust as one of the most important collaboration results in the FMCG industry was quantitatively analyzed. A fuzzy hierarchical analysis method has been used to prioritize trust indicators in the pharmaceutical industry. Questionnaires were distributed among 25 experts familiar with information technology concepts and active in pharmaceutical companies such as Barij Essence Kashan. Trust factor’s normal weight in the supply chain collaboration system shows that Social Support and Gap in education skills and human resources were respectively the most and the least influenced by trust. Collaboration factors based on trust were classified into initiators and barriers with decision tree. In the initiator's section, Social Support with a weight of 0.23241, and in the barriers section uncertainty and risk with a weight of 0.21521 ranked first. Trust factor's normal weight in the supply chain collaboration system shows that Social Support and Gap in education skills and human resources were respectively the most and the least influenced by trust.
1) Agrawal, T. K., Angelis, J., Khilji, W. A., Kalaiarasan, R., & Wiktorsson, M. (2022). Demonstration of a blockchain-based framework using smart contracts for supply chain collaboration. International Journal of Production Research, 1-20.
2) Al-Doori, J. A. (2019). The impact of supply chain collaboration on performance in the automotive industry: Empirical evidence. Journal of Industrial Engineering and Management, 12(2), 241-253.
3) Alhalalmeh, M. (2022). The impact of supply chain 4.0 technologies on its strategic outcomes. Uncertain Supply Chain Management, 10(4), 1203-1210.
4) Ali, I., & Aboelmaged, M. G. S. (2022). Implementation of supply chain 4.0 in the food and beverage industry: perceived drivers and barriers. International Journal of Productivity and Performance Management, 71(4), 1426-1443.
5) Aliahmadi, A., Movahed, A. B., & Nozari, H. (2024). Collaboration Analysis in Supply Chain 4.0 for Smart Businesses. In Building Smart and Sustainable Businesses With Transformative Technologies (pp. 103-122). IGI Global.
6) Alshurideh, M., Kurdi, B., Alzoubi, H., Obeidat, B., Hamadneh, S., & Ahmad, A. (2022). The influence of supply chain partners’ integrations on organizational performance: The moderating role of trust. Uncertain Supply Chain Management, 10(4), 1191-1202.
7) Ammar, M., Haleem, A., Javaid, M., Bahl, S., & Verma, A. S. (2022). Implementing Industry 4.0 technologies in self-healing materials and digitally managing the quality of manufacturing. Materials Today: Proceedings, 52, 2285-2294.
8) Anderson, H., Müllern, T., & Danilovic, M. (2023). Exploring barriers to collaborative innovation in supply chains–a study of a supplier and two of its industrial customers. Business Process Management Journal, 29(8), 25-47.
9) Azevedo, S. G., Pimentel, C. O., & Matias, J. C. (2022, January). The Role of Supply Chain 4.0 on Supply Chain Collaboration Exploratory Case Study in the Automotive Industry. In 2022 The 3rd International Conference on Industrial Engineering and Industrial Management (pp. 1-8).
10) Baah, C., Acquah, I. S. K., & Ofori, D. (2022). Exploring the influence of supply chain collaboration on supply chain visibility, stakeholder trust, environmental and financial performances: a partial least square approach. Benchmarking: An International Journal, 29(1), 172-193.
11) Barbosa, M. W., Ladeira, M. B., Sousa, P. R. D., & Oliveira, M. P. V. D. (2022). Supply chain collaboration and organizational performance: the effects of big data analytics capabilities, technological dynamism, and competitive intensity. International Journal of Business Environment, 13(4), 358-391.
12) Büyüközkan, G. (2023). Metaverse and Supply Chain Management Applications. In Metaverse: Technologies, Opportunities and Threats (pp. 383-395). Singapore: Springer Nature Singapore.
13) Camarinha-Matos, L.M. Afsarmanesh, H. Galeano, N. and Molina, A. (2009). Collaborative networked organizations–Concepts and practice in manufacturing enterprises. Computers & Industrial Engineering, Vol. 57, No.1, pp.46-60.
14) Camilo, R. J. Thierry, C. O. U. D. E. R. T. Laurent, G. E. N. E. S. T. E. & Aymeric, D. V. (2012). Technical and collaboration breakdown structures: Drivers of collaborative problem-solving approaches in a supply chain context. IFAC Proceedings Volumes, 45(6), 1184-1189.
15) Cao, M. and Zhang, Q. (2010). Supply chain collaborative advantage: A firm’s perspective. International Journal of Production Economics, Vol. 128, No. 1, pp.358-367.
16) Chen, K., Golhar, D. Y., & Banerjee, S. (2023). Blockchain applications and challenges for supply chain and Industry 4.0: a literature review. International Journal of Applied Decision Sciences, 16(1), 1-41.
17) Chen, L., Zhao, X., Tang, O., Price, L., Zhang, S., & Zhu, W. (2017). Supply chain collaboration for sustainability: A literature review and future research agenda. International Journal of Production Economics, 194, 73-87.
18) Chishti, S., & Ahmed, S. (2023). Managing a green supply chain: role of communication, collaboration, learning, and trust. International Journal of Services and Operations Management, 44(1), 93-114.
19) Di Maria, E., De Marchi, V., & Galeazzo, A. (2022). Industry 4.0 technologies and circular economy: The mediating role of supply chain integration. Business Strategy and the Environment, 31(2), 619-632.
20) Dung, L.T. (2015). factors affecting the collaboration in the supply chain of mechanical enterprises in Vietnam. International Journal of Managing Value and Supply Chains, Vol. 6, No. 4, pp.17-29.
21) El Jaouhari, A., Azari, M., Arif, J., El Farouk, I. I., Jawab, F., & Moufad, I. (2022, May). IoT for the future of sustainable supply chain management in Industry 4.0: A Systematic Literature Review. In 2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA) (pp. 1-6). IEEE.
22) Eyaa, S. Ntayi, J.M. and Namagembe, S. (2010). Collaborative relationships and SME supply chain performance. World Journal of Entrepreneurship, Management and Sustainable Development, Vol. 6, No. 3, pp.233-245.
23) Fawcett, S.E. Fawcett, A.M. Watson, B.J., and Magnan, G.M. (2012). Peeking inside the black box: toward an understanding of supply chain collaboration dynamics. Journal of Supply Chain Management, Vol. 48, No. 1, pp.44-72.
24) Feng, Y. (2012). System Dynamics Modeling for Supply Chain Information Sharing. Physics Procedia 25(2012)1463-1469.
25) Fu, Q., Abdul Rahman, A. A., Jiang, H., Abbas, J., & Comite, U. (2022). Sustainable supply chain and business performance: The impact of strategy, network design, information systems, and organizational structure. Sustainability, 14(3), 1080.
26) Govindan, K., Jha, P. C., Agarwal, V., & Darbari, J. D. (2019). Environmental management partner selection for reverse supply chain collaboration: A sustainable approach. Journal of Environmental Management, 236, 784-797.
27) Gumboh, J., & Gichira, R. (2015). Supply chain collaboration among SMEs in Kenya: A review of collaboration barriers. International Journal of Humanities and Social Science, 5(9), 2-5.
28) Heydarbakian, S., & Spehri, M. (2022). Interpretable Machine Learning to Improve Supply Chain Resilience, An Industry 4.0 Recipe. IFAC-PapersOnLine, 55(10), 2834-2839.
29) Ho, T., Kumar, A., & Shiwakoti, N. (2020). Supply chain collaboration and performance: an empirical study of the maturity model. SN Applied Sciences, 2(4), 1-16.
30) Hollmann, R.L. Scavarda, L.F. and Thomé, A.M.T. (2015). Collaborative planning, forecasting, and replenishment: a literature review. International Journal of Productivity and Performance.
31) Jung, V. Peeters, M. & Vredeveld, T. (2018). Drivers and Resistors for Supply Chain Collaboration. In Operations Research Proceedings 2016 (pp. 623-628). Springer, Cham.
32) Kozma, D., & Varga, P. (2020). Supporting digital supply chains by IoT frameworks: Collaboration, control, combination. Infocommunications Journal, 12(4), 22-32.
33) Kumar, G., Banerjee, R. N., Meena, P. L., & Ganguly, K. (2016). Collaborative culture and relationship strength roles in collaborative relationships: a supply chain perspective. Journal of Business & Industrial Marketing, 31(5), 587–599.
34) Kunkel, S., Matthess, M., Xue, B., & Beier, G. (2022). Industry 4.0 in sustainable supply chain collaboration: Insights from an interview study with international buying firms and Chinese suppliers in the electronics industry. Resources, conservation and recycling, 182, 106274.
35) Liu, X. (2018). LRN 2016 SPECIAL–the antecedents and consequences of reduction within a supply chain collaboration orientation of CO2 emissions: evidence from China. I, 21(2), 160-175.
36) Lynch, J. (2019). Effective Supply Chain Collaboration. In Contemporary Operations and Logistics (pp. 193-218). Palgrave Macmillan, Cham.
37) Ma, H. L., Wang, Z. X., & Chan, F. T. (2020). How important are supply chain collaborative factors in supply chain finance? A view of financial service providers in China. International Journal of Production Economics, 219, 341-346.
38) Maheshwari, P., & Kamble, S. (2023). A Comparative Approach for Sustainable Supply Chain Finance to Implement Industry 4.0 in Micro-, Small-, and Medium-Sized Enterprises. In Digital Transformation and Industry 4.0 for Sustainable Supply Chain Performance (pp. 207-230). Cham: Springer International Publishing.
39) Movahed, A. B., Aliahmadi, A., Parsanejad, M., & Nozari, H. (2023). A Systematic Review of Collaboration in Supply Chain 4.0 with Meta-Synthesis Method. Supply Chain Analytics, 100052.
40) Movahed, A. B., Movahed, A. B., & Nozari, H. (2024). Opportunities and Challenges of Smart Supply Chain in Industry 5.0. Information Logistics for Organizational Empowerment and Effective Supply Chain Management, 108-138.
41) Najafi, S. E., Nozari, H., & Edalatpanah, S. A. (2022). Artificial Intelligence of Things (IoT) and Industry 4.0–Based Supply Chain (FMCG Industry). A Roadmap for Enabling Industry 4.0 by Artificial Intelligence, 31-41.
42) Nozari, H., Fallah, M., Kazemipoor, H., & Najafi, S. E. (2021). Big data analysis of IoT-based supply chain management considering FMCG industries. Бизнес-информатика, 15(1 (eng)), 78-96.
43) Nozari, H., Szmelter-Jarosz, A., & Ghahremani-Nahr, J. (2022). Analysis of the challenges of artificial intelligence of things (AIoT) for the smart supply chain (case study: FMCG industries). Sensors, 22(8), 2931.
44) Nyaga, G.N., Whipple, J.M. and Lynch, D.F. (2010). Examining supply chain relationships: do buyer and supplier perspectives on collaborative relationships differ? Journal of Operations Management, Vol. 28, No. 2, pp.101-114.
45) Panahifar, F. PJ Byrne, Mohammad Asif Salam, Cathal Heavey. (2017). Supply chain collaboration and firm’s performance: The critical role of information sharing and trust. Journal of Enterprise Information Management.
46) Pradabwong, J., Braziotis, C., Tannock, J. D., & Pawar, K. S. (2017). Business process management and supply chain collaboration: effects on performance and competitiveness. Supply Chain Management: An International Journal.
47) Ralston, P. (2014). Supply chain collaboration: A literature review and empirical analysis to investigate uncertainty and collaborative benefits in regards to their practical impact on collaboration and performance.
48) Salam, M. A. (2017). The mediating role of supply chain collaboration on the relationship between technology, trust, and operational performance. Benchmarking: An International Journal.
49) Sandelowski, M., & Barroso, J. (2003). Classifying the findings in qualitative studies. Qualitative health research, 13(7), 905-923.
50) Sartori, J. T. D., Frederico, G. F., & de Fátima Nunes Silva, H. (2022). Organizational knowledge management in the context of supply chain 4.0: A systematic literature review and conceptual model proposal. Knowledge and Process Management, 29(2), 147-161.
51) Shafique, M. N., Yeo, S. F., & Tan, C. L. (2024). Roles of top management support and compatibility in big data predictive analytics for supply chain collaboration and supply chain performance. Technological Forecasting and Social Change, 199, 123074.
52) Shakil, M. Y. (2023). Customer Experience Management: Digital Transformation in the Fast-Moving Consumer Goods (FMCG) Industry of Bangladesh.
53) Silva, B. E., Vieira, J. G. V., & Yoshizaki, H. (2024). Motivating factors for blockchain technology adoption: a theoretical analysis from the perspective of supply chain collaboration. Journal of Global Operations and Strategic Sourcing.
54) Simatupang, T. M. & Sridharan, R. (2018). Complementarities in supply chain collaboration. Industrial engineering and management systems, 17 (1), 30-42.
55) Singh, S. P., Rawat, J., Mittal, M., Kumar, I., & Bhatt, C. (2022). Application of AI in SCM or Supply Chain 4.0. Artificial Intelligence in Industrial Applications: Approaches to Solve the Intrinsic Industrial Optimization Problems, 51-66.
56) Sivadevuni, S. S., & Kumar Ravichandran, S. (2023). Systematic Literature Review—IoT-Based Supply Chain Management in Industry 4.0. Intelligent Cyber-Physical Systems and Internet of Things: ICoICI 2022, 291-302.
57) Soosay, C. A., & Hyland, P. (2015). A decade of supply chain collaboration and directions for future research. Supply Chain Management: An International Journal.
58) Touboulic, A. and Walker, H. (2015). Love me, love me not: A nuanced view on collaboration in sustainable supply chains. Journal of Purchasing and Supply Management, Vol. 21, No. 3, pp.178-191.
59) Veile, J. W., Schmidt, M. C., Müller, J. M., & Voigt, K. I. (2022). The transformation of supply chain collaboration and design through Industry 4.0. International Journal of Logistics Research and Applications, 1-29.
60) Whipple, J. M., Lynch, D. F., & Nyaga, G. N. (2010). A buyer's perspective on collaborative versus transactional relationships. Industrial marketing management, 39(3), 507-518.
61) Wu, L. & Chiu, M. L. (2018). Examining supply chain collaboration with determinants and performance impact: Social capital, justice, and technology use perspectives. International Journal of Information Management, 39, 5-19.
62) Xia, J., Li, H., & He, Z. (2023). The effect of blockchain technology on supply chain collaboration: A case study of lenovo. Systems, 11(6), 299.
63) Yu, W. Jacobs, M. A. Chavez, R. & Yang, J. (2019). Dynamism, disruption orientation, and resilience in the supply chain and the impacts on financial performance: A dynamic capabilities perspective. International Journal of Production Economics, 218, 352-362.
64) Zacharia, Z.G., Nix, N.W. and Lusch, R.F. (2011). Capabilities that enhance outcomes of an episodic supply chain collaboration. Journal of Operations Management, Vol. 29, No. 6, pp.591- 603.
65) Zhang, X., & Yousaf, H. A. U. (2020). Green supply chain coordination considering government intervention, green investment, and customer green preferences in the petroleum industry. Journal of Cleaner Production, 246, 118984.
66) Zimmer, L. (2006). Qualitative meta‐synthesis: a question of dialoguing with texts. Journal of Advanced Nursing, 53(3), 311-318.