Industry 4.0 and Supply Chain Performance in the Oil and Gas Industry

Akintokunbo, Oluwarotimi Odunayo; Idadokima, Samuel

doi:10.18535/ijsrm/v9i11.em04

Abstract

The purpose of this study is to investigate industry 4.0 and supply chain performance. Extant literature was reviewed. Secondary data such as E-books, journal articles projects were used. Exploratory research design was used for the study. Based on the review literature, it was revealed that, integrated supply chain performance measurement system (SCPMS) is paramount for an efficient supply chain management (SCM) at inter-organizational and beyond-the-boundary processes. The recent technological innovations (internet of things (IoTs), big data, and web-based communication systems) revamp the SCPMS through effective data collection, information sharing, and framework integration among the different SC partners across nations. The study recommend for further research on the obstacles facing industry 4.0 and supply chain performance in the oil and gas industries across nations.

Keywords

Industry 4.0 Supply Chain Performance oil and Gas Industries

References

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Braunscheidel, M.J. & Suresh, N.C. (2009). The organizational antecedents of a firm’s supply chain agility for risk mitigation and response”. Journal of Operations Management, 27(2), 119-140.Google Scholar ↗
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Li, G., Lin, Y., Wang, S. & Yan, H. (2006). Enhancing agility by timely sharing of supply information”. Supply Chain Management: An International Journal, 11(5), 425-435.Google Scholar ↗
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Lin, C.T., Chiu, H. & Chu, P.Y. (2006). Agility index in the supply chain”, International Journal of Production Economics, 100 (2)285-299.Google Scholar ↗
Maestrini, V., Maccarrone P, Caniato, F., & Luzzini D. (2018). Supplier performance measurement systems: Communication and reaction modes. Industrial Marketing Management, 74(2), 298-308.Google Scholar ↗
Manavalan, E., & Jayakrishna, K. (2018). A review of Internet of Things (IoT) embedded Sustainable Supply Chain for Industry 4.0 requirements, Computers & Industrial Engineering. 127, 925-953.Google Scholar ↗
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Parkash, S. & Kaushik, V. (2011). Simple, cost effective & result oriented framework for supplier performance measurement in sports goods manufacturing industry. Scientific Journal of Logistics, 7- 3.Google Scholar ↗
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[refR-2] Abdel-Basset M., Manogaran G. & Mohamed M. (2019). Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems, Future Generation Computer Systems.Google Scholar ↗

[refR-3] Accorsi R., Bortolini M., Baruffaldi G., Pilati F. & Ferrari, E. (2017). Internet-of-Things paradigm in food supply chains control and management, Procedia Manufacturing, 889 – 895.Google Scholar ↗

[refR-4] Addotenkorang, R. & Helo, P. (2016). Big data applications in operations/supply chain management: Journal of computer and Industrial Engineering, 101,528-543.Google Scholar ↗

[refR-5] Agarwal, A., Shankar, R., & Tiwari, M.K. (2007).Modeling agility of supply chain”, Industrial Marketing Management, 36(4), 443-457.Google Scholar ↗

[refR-6] AlfallaLuque R., Medina-Lopez, C. & Dey, P.K. (2012) Supply chain integration framework using literature review, Production Planning & Control, 1-18.Google Scholar ↗

[refR-7] Alshboul, M.A. (2017).Infrastructure framework and manufacturing supply chain agility: The role of delivering dependability and time to market. Journal of supply chain management, 22(2)172-185.Google Scholar ↗

[refR-8] Aslam, H., Blome, C., Roscoe, S. & Azhar, T.M. (2018). Dynamic supply chain capabilities: how market sensing, supply chain agility and adaptability affect supply chain ambidexterity. International Journal of Operations and Production Management, 38 (12), 2266-2285.Google Scholar ↗

[refR-9] Bal, J., Wilding, R. & Gundry, J. (1999). Virtual teaming in the agile supply chain”. International Journal of Logistics Management, 10(2), 71-82.Google Scholar ↗

[refR-10] Ben-Daya, M.V., Maccarrone, P., Caniato, F. & Luzzini (2017). Internet of things and supply chain management: A literature review. International Journal of Production Research, 57, 15-16.Google Scholar ↗

[refR-11] Braunscheidel, M.J. & Suresh, N.C. (2009). The organizational antecedents of a firm’s supply chain agility for risk mitigation and response”. Journal of Operations Management, 27(2), 119-140.Google Scholar ↗

[refR-12] Brusset, X. (2016). Does supply chain visibility enhance agility? International Journal of Production Economics, 171, 46-59.Google Scholar ↗

[refR-13] Calatayud, A., Mangan, J. & Christopher, M. (2019). The self-thinking supply chain”. Supply Chain Management, 24(1), 22-38.Google Scholar ↗

[refR-14] Chan, A.T., Ngai, E.W., & Moon, K.K. (2017).The effects of strategic and manufacturing flexibilities and supply chain agility on firm performance in the fashion industry”. European Journal of Operational Research, 259 (2) 486-499.Google Scholar ↗

[refR-15] Cho, D.W., Lee Y.H., Ahn S.H. & Hwang M.K. (2012). A framework for measuring the performance of service supply chain management, Computers & Industrial Engineering, 6(2)801–818.Google Scholar ↗

[refR-16] De Vass, S., & Miah, S. (2018). The effect of “Internet of Things” on supply chain integration and performance: An organizational capability perspective, Australasian Journal of Information Systems, 1- 22.Google Scholar ↗

[refR-17] Dey, P.K. & Cheffi, W. (2013) Green supply chain performance measurement using the analytic hierarchy process: A comparative analysis of manufacturing organizations. Production Planning and Control, 24, 8-9.Google Scholar ↗

[refR-18] Doliński, D. & Koliński, A. (2011).Estimation of suppliers as an important element of the rationalization of supply processes – case study, Scientific Journal of Logistics, 7- 2.Google Scholar ↗

[refR-19] Dubey, R., Altay, N., Gunasekaran, A., Blome, C., Papadopoulos, T., & Childe, S.J. (2018). Supply chain agility, adaptability and alignment: empirical evidence from the Indian auto components industry”. International Journal of Operations and Production Management, 38(1), 129-148.Google Scholar ↗

[refR-20] Eckstein, D., Goellner, M., Blome, C., & Henke, M. (2015).The performance impact of supply chain agility and supply chain adaptability: The moderating effect of product complexity. International Journal of Production Research, 53(10) 3028-3046.Google Scholar ↗

[refR-21] Fayezi, S., Zutshi, A. & O’Loughlin, A. (2016). Understanding and development of supply chain agility and flexibility: A structured literature review”. International Journal of Management Reviews, 19(4), 379-407.Google Scholar ↗

[refR-22] Gligor, D.M., Holcomb, M.C. & Stank, T.P. (2013).A multidisciplinary approach to supply chain agility: Conceptualization and scale development”. Journal of Business Logistics, 34(2), 94-108.Google Scholar ↗

[refR-23] Khan, A.K., Bakkappa, B., Metri, B.A., & Sahay, B.S. (2009).Impact of agile supply chains’ delivery practices on firms’ performance: cluster analysis and validation”. Supply Chain Management –An International Journal, 14 1), 41-48.Google Scholar ↗

[refR-24] Khan, S.A, Yu, Z. & Qianli, D. (2018). Study on the supply chain integration: In the perspective of Pakistan, Computational Intelligence and Sustainable Systems, 255-265.Google Scholar ↗

[refR-25] Kisomi, M., Solimanpur M. & Doniavi, A. (2016). An integrated supply chain configuration model and procurement management under uncertainty: A set based robust optimization methodology. Applied Mathematical Modeling, 40(17-18), 7928-7949.Google Scholar ↗

[refR-26] Lee, H.L. (2004). The triple-a supply chain”. Harvard Business Review, 82(10), 102-113.Google Scholar ↗

[refR-27] Li M., Zheng X. & Zhuang G. (2017). Information technology-enabled interactions, mutual monitoring, and supplier-buyer cooperation: A network perspective. Journal of Business Research, 78 268-276.Google Scholar ↗

[refR-28] Li, G., Lin, Y., Wang, S. & Yan, H. (2006). Enhancing agility by timely sharing of supply information”. Supply Chain Management: An International Journal, 11(5), 425-435.Google Scholar ↗

[refR-29] Li, X., Chung, C., Goldsby, T.J. & Holsapple, C.W. (2008).A unified model of supply chain agility: The work–design perspective”. International Journal of Logistics Management, 19(3), 408-435.Google Scholar ↗

[refR-30] Lin, C.T., Chiu, H. & Chu, P.Y. (2006). Agility index in the supply chain”, International Journal of Production Economics, 100 (2)285-299.Google Scholar ↗

[refR-31] Maestrini, V., Maccarrone P, Caniato, F., & Luzzini D. (2018). Supplier performance measurement systems: Communication and reaction modes. Industrial Marketing Management, 74(2), 298-308.Google Scholar ↗

[refR-32] Manavalan, E., & Jayakrishna, K. (2018). A review of Internet of Things (IoT) embedded Sustainable Supply Chain for Industry 4.0 requirements, Computers & Industrial Engineering. 127, 925-953.Google Scholar ↗

[refR-33] Moher, D., Liberati, A., Tetzlaff, J. & Altman, D.G. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement”. Annals of Internal Medicine, 151(4), 264-269.Google Scholar ↗

[refR-34] Molamohamadi Z., Ismail N., Leman Z. & Zulkifli N. (2013). Supplier Selection in a Sustainable Supply Chain, Journal of Advanced Management Science, 1 -3.Google Scholar ↗

[refR-35] Parkash, S. & Kaushik, V. (2011). Simple, cost effective & result oriented framework for supplier performance measurement in sports goods manufacturing industry. Scientific Journal of Logistics, 7- 3.Google Scholar ↗

[refR-36] Russell, D.M., & Swanson, D. (2019).Transforming information into supply chain agility: An agility adaptation typology. International Journal of logistics management, 30(1)329-355.Google Scholar ↗

[refR-37] Sangari, M.S., & Razmi, J. (2015). Business intelligence competence, agile capabilities, and agile performance in supply chain”. International Journal of Logistics Management, 26(2), 356-380.Google Scholar ↗

[refR-38] Sharma, N., Sahay, B., Shankar, R, & Sarma, P. (2017). Supply chain agility: Review, classification and synthesis”. International Journal of Logistics Research and Applications, 20 (6) 532-559.Google Scholar ↗

[refR-39] Swafford, P.M., Ghosh, S. & Murthy, N. (2006). The antecedents of supply chain agility of a firm: scale development and model testing”. Journal of Operations Management, 24(2)170-188.Google Scholar ↗

[refR-40] Swafford, P.M., Ghosh, S. & Murthy, N. (2008). Achieving supply chain agility through IT integration and flexibility”. International Journal of Production Economics, 116, (2) 288-297.Google Scholar ↗

[refR-41] Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence–informed management knowledge by means of systematic review”. British Journal of Management, 14(3), 207-222.Google Scholar ↗

[refR-42] Truong H., Sampaio P., Sameiro M., Binh A., Duong A. & Vilhenac, E. (2016). An extensive structural model of supply chain quality management and firm performance, International Journal of Quality & Reliability Management, 33, 4 -22Google Scholar ↗

[refR-43] Wu,Y.Schuster,M.Chen,Z.Quoc,V.Mohammed,le.Younghui,S.Qvl,Z.(2016)GoogleNeural machine Translation system: Bridging the gap between human and machine translation.CS.CL.Google Scholar ↗

[refR-44] Yang, J. (2014).Supply chain agility: securing performance for Chinese manufacturers”. International Journal of Production Economics, 150(1), 104-113.Google Scholar ↗

[refR-45] Yin, Y. & Qin, S. (2016). A smart performance measurement approach for collaborative design in Industry 4.0, Advances in Mechanical Engineering, 11(1,) 1-15.Google Scholar ↗

[refR-46] Zhu Q., Krikke H., Marjolein C. & Caniëls, J. (2016). Integrated supply chain risk management: A systematic review. International Journal of Logistics Management, 28- 4.Google Scholar ↗