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Global Journal of Flexible Systems Management
Published in: Global Journal of Flexible Systems Management 3/2020

06-07-2020 | Original Research

Identification of Critical Factors and Their Interrelationships to Design Agile Supply Chain: Special Focus to Oil and Gas Industries

Published in: Global Journal of Flexible Systems Management | Issue 3/2020

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Abstract

This research identifies the critical factors that drive agile supply chain management, especially to oil and gas industries. An extensive literature review and questionnaire survey was conducted within the oil and gas industries supply chain to identify the critical factors. Besides, several brainstorming sessions were held with the experts in the oil and gas industries supply chain to know the contextual relationship between the identified factors. Furthermore, with the help of a total interpretive structural modeling tool, a digraph was developed to analyze the relationships between the identified factors. From the analysis, out of the twelve identified factors, top management commitment, strategic alignment, competency of management and integration of information technology were found to be the main drivers to offer an agile supply chain. On the other hand, factors such as government regulations, transportation and logistics flexibility and production planning fell under the category of dependent factors.
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Appendix
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Literature
Abbasi, M., Hosnavi, R., & Babazadeh, R. (2014). Agile and flexible supply chain network design under uncertainty. International Journal of Industrial Engineering: Theory, Application and Practice,21(4), 190–208.
Agarwal, A., Shankar, R., & Tiwari, M. K. (2006). Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach. European Journal of Operational Research,173(1), 211–225.
Aitken, J., Christopher, M., & Towill, D. (2002). Understanding, implementing and exploiting agility and leanness. International Journal of Logistics: Research and Applications,5(1), 59–74.
Almeida, M. M., Silva, M. F. A., Pedro, S. A. M., Almada, S. F. C., & da Silva, S. L. (2017). The importance of trust and collaboration between companies to mitigate the bullwhip effect in supply chain management. Acta Scientiarum Technology,39(2), 201–210.
Al-Shboul, M. D. A. (2017). Infrastructure framework and manufacturing supply chain agility: The role of delivery dependability and time to market. Supply Chain Management: An International Journal,22(2), 172–185.
Bal, J., Wilding, R., & Gundry, J. (1999). Virtual teaming in the agile supply chain. International Journal of Logistics Management,10(2), 71–82.
Balaji, M., Velmurugan, V., & Subashree, C. (2015). OriginalTADS: An assessment methodology for agile supply chains. Journal of Applied Research and Technology,13(5), 504–509.
Beamon, B. M., & Ware, T. M. (1998). A process quality model for the analysis, improvement and control of supply chain systems. Logistics Information Management,11(2), 105–113.
Betts, T., & Tadisina, S. K. (2009). Supply chain agility, collaboration, and performance: how do they relate. In Proceedings of annual conference of the production and operations management society, Orlando, USA.
Bidhandi, R. A., & Valmohammadi, C. (2017). Effects of supply chain agility on profitability. Business Process Management Journal,23(5), 1064–1082.
Blome, C., Schoenherr, T., & Rexhausen, D. (2013). Antecedents and enablers of supply chain agility and its effect on performance: A dynamic capabilities perspective. International Journal of Production Research,51(4), 1295–1318.
Bolanos, R., Fontela, E., Nenclares, A., & Paster, P. (2005). Using interpretive structural modeling in strategic decision making groups. Management Decision,43(6), 877–895.
Bottani, E. (2010). Profile and enablers of agile companies: An empirical investigation. International Journal of Production Economics,125(2), 251–261.
Brusset, X. (2016). Does supply chain visibility enhance agility? International Journal of Production Economics,171, 46–59.
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.
Chang, A. Y., Hu, K. J., & Hong, Y. L. (2013). An ISM-ANP approach to identifying key agile factors in launching a new product into mass production. International Journal of Production Research,51(2), 582–597.
Charles, A., Lauras, M., & Van Wassenhove, L. (2010). A model to define and assess the agility of supply chains: Building on humanitarian experience. International Journal of Physical Distribution & Logistics Management,40(8/9), 722–741.
Chidambaranathan, S., Muralidharan, C., & Deshmukh, S. G. (2009). Analyzing the interaction of critical factors of supplier development using interpretive structural modeling—An empirical study. The International Journal of Advanced Manufacturing Technology,43(11–12), 1081–1093.
Christopher, M. (2000). The agile supply chain: Competing in volatile markets. Industrial Marketing Management,29(1), 37–44.
Christopher, M., Harrison, A., & van Hoek, R. (2016). Creating the agile supply chain: issues and challenges. In K. S. Pawar, H. Rogers, A. Potter, & M. Naim (Eds.), Developments in logistics and supply chain management (pp. 61–68). London: Palgrave Macmillan.
Christopher, M., & Towill, D. (2001). An integrated model for the design of agile supply chains. International Journal of Physical Distribution & Logistics Management,31(4), 235–246.
Costantino, N., Dotoli, M., Falagario, M., Fanti, M. P., & Mangini, A. M. (2012). A model for supply management of agile manufacturing supply chains. International Journal of Production Economics,135(1), 451–457.
Dawei, L. (2011). Fundamentals of supply chain management. London: Bookboon.
DeGroote, S. E., & Marx, T. G. (2013). The impact of IT on supply chain agility and firm performance: An empirical investigation. International Journal of Information Management,33(6), 909–916.
Dubey, R., Gunasekaran, A., & Childe, S. J. (2019). Big data analytics capability in supply chain agility. Management Decision,57(8), 2092–2112.
Dubey, R., Gunasekaran, A., Papadopoulos, T., Childe, S. J., Shibin, K. T., & Wamba, S. F. (2017). Sustainable supply chain management: Framework and further research directions. Journal of Cleaner Production,142, 1119–1130.
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.
Fayezi, S., & Zomorrodi, M. (2015). The role of relationship integration in supply chain agility and flexibility development. Journal of Manufacturing Technology Management,26(8), 1126–1157.
Fayezi, S., Zutshi, A., & O’Loughlin, A. (2017). Understanding and development of supply chain agility and flexibility: A structured literature review. International Journal of Management Reviews,19(4), 379–407.
Garbie, I. H. (2011). Implementation of agility concepts into oil industry. Journal of Service Science and Management,4(02), 203.
Garbie, I. H., Parsaei, H. R., & Leep, H. R. (2008). A novel approach for measuring agility in manufacturing firms. International Journal of Computer Applications in Technology,32(2), 95–103.
Gligor, D. M., Esmark, C. L., & Holcomb, M. C. (2015). Performance outcomes of supply chain agility: When should you be agile? Journal of Operations Management,33, 71–82.
Gligor, D. M., & Holcomb, M. C. (2012). Understanding the role of logistics capabilities in achieving supply chain agility: A systematic literature review. Supply Chain Management: An International Journal,17(4), 438–453.
Gorane, S. J., & Kant, R. (2013). Modeling the SCM enablers: An integrated ISM-fuzzy MICMAC approach. Asia Pacific Journal of Marketing and Logistics,25(2), 263–286.
Gosling, J., Purvis, L., & Naim, M. M. (2010). Supply chain flexibility as a determinant of supplier selection. International Journal of Production Economics,128(1), 11–21.
Govindan, K., Seuring, S., Zhu, Q., & Azevedo, S. G. (2016). Accelerating the transition towards sustainability dynamics into supply chain relationship management and governance structures. Journal of Cleaner Production,112, 1813–1823.
Gunasekaran, A. (1999). Agile manufacturing: A framework for research and development. International Journal of Production Economics,62(1), 87–105.
Gunasekaran, A., Dubey, R., & Singh, S. P. (2016). Flexible sustainable supply chain network design: Current trends, opportunities and future. Global Journal of Flexible Systems Management,17, 109–112.
Hillegersberg, V. J., Oosterhout, V. M., Valkenier, R., & Waarts, E. (2005). Business agility requirements in financial services. In Second international workshop on enterprise, applications and services in the financial industry, Regensberg, Germany.
Hussain, M., Awasthi, A., & Tiwari, M. K. (2016). Interpretive structural modeling-analytic network process integrated framework for evaluating sustainable supply chain management alternatives. Applied Mathematical Modelling,40(5), 3671–3687.
Jain, V., Benyoucef, L., & Deshmukh, S. G. (2008). A new approach for evaluating agility in supply chains using fuzzy association rules mining. Engineering Applications of Artificial Intelligence,21(3), 367–385.
Kane-Urrabazo, C. (2006). Management’s role in shaping organizational culture. Journal of Nursing Management,14(3), 188–194.
Katayama, H., & Bennett, D. (1999). Agility, adaptability and leanness: A comparison of concepts and a study of practice. International Journal of Production Economics,60–61, 43–51.
Khadem, M., Shamsuzzoha, A., & Piya, S. (2017). Optimization modeling of a poultry industry supply chain network. International Journal of Supply Chain Management,6(2), 27–32.
Khorasani, S. T. (2018). A robust optimization model for supply chain in agile and flexible mode based on variables of uncertainty. Global Journal of Flexible Systems Management,19(3), 239–253.
Kidd, P. T. (1995). Agile manufacturing: Forging new frontiers. Reading: Addison-Wesley Longman Publishing Co., Inc.
Kim, M., & Chai, S. (2017). The impact of supplier innovativeness, information sharing and strategic sourcing on improving supply chain agility: Global supply chain perspective. International Journal of Production Economics,187, 42–52.
Kohli, A. K., & Jaworski, B. J. (1990). Market orientation: The construct, research propositions, and managerial implications. The Journal of Marketing,54(2), 1–18.
Kumar, S. S., & Vinodh, S. (2019). Application of interpretive structural modelling for analysis of factors influencing composite fabrication using additive manufacturing. International Journal of Materials Engineering Innovation,10(3), 218–245.
Lambert, D. M., & Cooper, M. C. (2000). Issues in supply chain management. Industrial Marketing Management,29(1), 65–83.
Lamming, R. (1996). Squaring lean supply with supply chain management. International Journal of Operations & Production Management,16(2), 183–196.
Li, X., Chung, C., Goldsby, T. J., & Holsapple, C. W. (2008). A unified model of supply chain agility: The work-design perspective. The International Journal of Logistics Management,19(3), 408–435.
Lin, C. T., Chiu, H., & Chu, P. Y. (2006). Agility index in the supply chain. International Journal of Production Economics,100(2), 285–299.
Liu, H., Ke, W., Wei, K. K., & Hua, Z. (2013). The impact of IT capabilities on firm performance: The mediating roles of absorptive capacity and supply chain agility. Decision Support Systems,54(3), 1452–1462.
Lummus, R. R., Duclos, L. K., & Vokurka, R. J. (2003). Supply chain flexibility: Building a new model. Global Journal of Flexible Systems Management,4(4), 1–13.
Malhotra, M. K., & Mackelprang, A. W. (2012). Are internal manufacturing and external supply chain flexibilities complementary capabilities? Journal of Operations Management,30(3), 180–200.
Mangla, S. K., Kumar, P., & 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), 113–130.
Manoharan, T. R., Muralidharan, C., & Deshmukh, S. G. (2010). Analyzing the interaction of performance appraisal factors using interpretive structural modeling. Performance Improvement,49(6), 25–35.
Mason, S. J., Cole, M. H., Ulrey, B. T., & Yan, L. (2002). Improving electronics manufacturing supply chain agility through outsourcing. International Journal of Physical Distribution and Logistics Management,32(7), 610–620.
Meade, L. M., & Sarkis, J. (1999). Analyzing organizational project alternatives for agile manufacturing processes: an analytical network approach. International Journal of Production Research,37(2), 241–261.
Miles, R. E., & Snow, C. C. (1992). Causes of failure in network organizations. California Management Review,34(4), 53–72.
Mitra Debnath, R., & Shankar, R. (2012). Improving service quality in technical education: Use of interpretive structural modeling. Quality Assurance in Education,20(4), 387–407.
Narasimhan, R., Swink, M., & Kim, S. W. (2006). Disentangling leanness and agility: an empirical investigation. Journal of Operations Management,24(5), 440–457.
Nazempour, R., Yang, J. & Javaid, Z. (2019). Effect of supply chain agility dimensions on supply chain performance: A case of Iranian SMEs. In Proceedings of the 2nd international conference on big data technologies (pp. 344–348), Jinan, China.
Ngai, E. W., Chau, D. C., & Chan, T. L. A. (2011). Information technology, operational, and management competencies for supply chain agility: Findings from case studies. The Journal of Strategic Information Systems,20(3), 232–249.
Overby, E., Bharadwaj, A., & Sambamurthy, V. (2006). Enterprise agility and the enabling role of information technology. European Journal of Information Systems,15(2), 120–131.
Paik, S. K., & Bagchi, P. K. (2006). The bullwhip effect under different supply chain structures. Supply Chain Forum: An International Journal,7(1), 94–104.
Patil, M., & Suresh, M. (2019). Modelling the enablers of workforce agility in IoT projects: A TISM approach. Global Journal of Flexible Systems Management, 20(2), 157–175.
Pérez-Pérez, M., Kocabasoglu-Hillmer, C., Serrano-Bedia, A. M., & López-Fernández, M. C. (2019). Manufacturing and supply chain flexibility: Building an integrative conceptual model through systematic literature review and bibliometric analysis. Global Journal of Flexible Systems Management, 20(Suppl 1), S1–S23.
Piya, S. (2019). Mediator assisted simultaneous negotiations with multiple customers for order acceptance decision. Benchmarking: An International Journal,26(5), 1581–1604.
Piya, S., Khadem, M., & Shamsuzzoha, A. (2016). Negotiation based decision support system for order acceptance. Journal of Manufacturing Technology Management,27(3), 443–468.
Piya, S., Shamsuzzoha, A., Khadem, M., & Al-kindi, M. (2017). Supply chain complexity drivers and solution methods. International Journal of Supply Chain Management,6(4), 43–50.
Prater, E., Biehl, M., & Smith, M. A. (2001). International supply chain agility-tradeoffs between flexibility and uncertainty. International Journal of Operations and Production Management,21(5/6), 823–839.
Qureshi, M. N., Kumar, D., & Kumar, P. (2007). Modeling the logistics outsourcing relationship variables to enhance shippers’ productivity and competitiveness in logistical supply chain. International Journal of Productivity and Performance Management,56(8), 689–714.
Rajesh, R. (2017). Technological capabilities and supply chain resilience of firms: A relational analysis using total interpretive structural modeling (TISM). Technological Forecasting and Social Change,118, 161–169.
Ramdas, K., & Spekman, R. E. (2000). Chain or shackles: Understanding what drives supply-chain performance. Interfaces,30(4), 3–21.
Ramesh, G., & Devadasan, S. R. (2007). Literature review on the agile manufacturing criteria. Journal of Manufacturing Technology Management,18(2), 182–201.
Ramstad, L. S., Halvorsen, K., & Wahl, A. M. (2010). Improved coordination with integrated planning: Organisational capabilities. In Proceedings of SPE intelligent energy conference and exhibition, Utretcht, Neatherland.
Ravi, V., & Shankar, R. (2005). Analysis of interactions among the barriers of reverse logistics. Technological Forecasting and Social Changes,72(8), 1011–1029.
Ravi, V., Shankar, R., & Tiwari, M. K. (2005). Productivity improvement of a computer hardware supply chain. International Journal of Productivity and Performance Management,54(4), 239–255.
Rawlinson, J. G. (1981). Creative thinking and brainstorming. Farnborough, Hants: Gower.
Sagheer, S., Yadav, S. S., & Deshmukh, S. G. (2009). An application of interpretative structural modeling of the compliance to food standards. International Journal of Productivity and Performance Management,58(2), 136–159.
Sangari, M. S., Razmi, J., & Zolfaghari, S. (2015). Developing a practical evaluation framework for identifying critical factors to achieve supply chain agility. Measurement,62, 205–214.
Scott, C., Lundgren, H., & Thompson, P. (2011). Guide to supply chain management. Berlin: Springer.
Seethamraju, R., & Sundar, D. K. (2013). Influence of ERP systems on business process agility. IIMB Management Review,25(3), 137–149.
Shamsuzzoha, A. H. M., & Helo, P. T. (2012). Tracking and tracing of logistics networks: Perspective of real-time business environment. International Journal of Industrial Engineering: Theory, Application and Practice,19(3), 117–127.
Shamsuzzoha, A., Piya, S., Al-Kindi, M., & Al-Hinai, N. (2018). Metrics of product modularity: Lessons learned from case companies. Journal of Modelling in Management,13(2), 331–350.
Sharma, H. D., Gupta, A. D., & Sushil, S. (1995). The objectives of waste management in India: A futures inquiry. Technological Forecasting and Social Change,48(3), 285–309.
Sharma, N., Sahay, B. S., Shankar, R., & Sarma, P. R. S. (2017). Supply chain agility: Review, classification and synthesis. International Journal of Logistics Research and Applications,20(6), 532–559.
Sharma, R., & Garg, S. (2010). Interpretive structural modelling of enablers for improving the performance of automobile service centre. International Journal of Services Operations and Informatics,5(4), 351–372.
Sheel, A., Singh, Y. P., & Nath, V. (2020). Managing agility in the downstream petroleum supply chain. International Journal of Business Excellence,20(2), 269–294.
Shekarian, M., Nooraie, S. V. R., & Parast, M. M. (2020). An examination of the impact of flexibility and agility on mitigating supply chain disruptions. International Journal of Production Economics,220, 107438.
Sherehiy, B., Karwowski, W., & Layer, J. K. (2007). A review of enterprise agility: Concepts, frameworks, and attributes. International Journal of Industrial Ergonomics,37(5), 445–460.
Singh, R. K., & Acharya, P. (2013). Supply chain flexibility: A frame work of research dimensions. Global Journal of Flexible Systems Management, 14(3), 157–166.
Singh, R. K., Modgil, S., & Acharya, P. (2019). Assessment of supply chain flexibility using system dynamics modeling. Global Journal of Flexible Systems Management, 20(Suppl 1), S39–S63.
Singh, M. D., Shankar, R., Narain, R., & Agarwal, A. (2003). Knowledge management in engineering industries—An interpretive structural modeling. Journal of Advances in Management Research,1(1), 27–39.
Stratton, R., & Warburton, R. D. H. (2003). The strategic integration of agile and lean supply. International Journal of Production Economics,85, 183–198.
Sushil. (2012). Interpreting the interpretive structural model. Global Journal of Flexible Systems Management,13(2), 87–106.
Sushil. (2017). Modified ISM/TISM process with simultaneous transitivity checks for reducing direct pair comparisons. Global Journal of Flexible Systems Management,18(4), 331–351.
Sushil. (2018). How to check correctness of total interpretive structural models? Annals of Operations Research, 270(1–2), 473–487.
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.
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.
Talib, F., Rahman, Z., & Qureshi, M. N. (2011). Analysis of interaction among the barriers to total quality management implementation using interpretive structural modeling approach. Benchmarking: An International Journal,18(4), 563–587.
Thakkar, J., Kanda, A., & Deshmukh, S. G. (2007). Evaluation of buyer-supplier relationships using an integrated mathematical approach of interpretive structural modeling (ISM) and graph theoretic matrix: The case study of Indian automotive SMEs. Journal of Manufacturing Technology Management,19(1), 92–124.
Tolone, W. J. (2000). Virtual situation rooms: Connecting people across enterprises for supply-chain agility. Computer-Aided Design,32(2), 109–117.
Triki, C., Mirmohammadsadeghi, S., & Piya, S. (2017). Heuristic methods for the periodic Shipper Lane Selection Problem in transportation auctions. Computers & Industrial Engineering,106, 182–191.
Tsourveloudis, N. C., & Valavanis, K. P. (2002). On the measurement of enterprise agility. Journal of Intelligent and Robotic Systems,33(3), 329–342.
Um, J. (2017). Improving supply chain flexibility and agility through variety management. The International Journal of Logistics Management,28(2), 464–487.
Van Hoek, R. I., Harrison, A., & Christopher, M. (2001). Measuring agile capabilities in the supply chain. International Journal of Operations and Production Management,21(1/2), 126–148.
Vinodh, S., Ramesh, K., & Arun, C. S. (2016). Application of interpretive structural modelling for analysing the factors influencing integrated lean sustainable system. Clean Technologies and Environmental Policy,18(2), 413–428.
Wan Ahmad, W. N. K., Rezaei, J., Tavasszy, L. A., & de Brito, M. P. (2016). Commitment to and preparedness for sustainable supply chain management in the oil and gas industry. Journal of Environmental Management,180, 202–213.
Wang, L., Ma, L., Wu, K. J., Chiu, A. S., & Nathaphan, S. (2018). Applying fuzzy interpretive structural modeling to evaluate responsible consumption and production under uncertainty. Industrial Management & Data Systems,118(2), 432–462.
Warfield, J. N. (1974). Toward interpretation of complex structural models. IEEE Transactions on Systems, Man, and Cybernetics,5, 405–417.
Wu, K. J., Tseng, M. L., Chiu, A. S., & Lim, M. K. (2017). Achieving competitive advantage through supply chain agility under uncertainty: A novel multi-criteria decision-making structure. International Journal of Production Economics,190, 96–107.
Xia, Y., & Li-Ping Tang, T. (2011). Sustainability in supply chain management: Suggestions for the auto industry. Management Decision,49(4), 495–512.
Yadav, D. K., & Barve, A. (2015). Analysis of critical success factors of humanitarian supply chain: An application of interpretive structural modeling. International Journal of Disaster Risk Reduction,12, 213–225.
Yang, J. (2014). Supply chain agility: Securing performance for Chinese manufacturers. International Journal of Production Economics,150, 104–113.
Yusuf, Y. Y., Gunasekaran, A., Adeleye, E. O., & Sivayoganathan, K. (2004). Agile supply chain capabilities: Determinants of competitive objectives. European Journal of Operational Research,159(2), 379–392.
Yusuf, Y. Y., Gunasekaran, A., Musa, A., Dauda, M., El-Berishy, N. M., & Cang, S. (2014a). A relational study of supply chain agility, competitiveness and business performance in the oil and gas industry. International Journal of Production Economics,147, 531–543.
Yusuf, Y. Y., Musa, A., Dauda, M., El-Berishy, N., Kovvuri, D., & Abubakar, T. (2014b). A study of the diffusion of agility and cluster competitiveness in the oil and gas supply chains. International Journal of Production Economics,147, 498–513.
Zhang, C., Sun, L., Wen, F., Lin, Z., Ledwich, G., & Xue, Y. (2015). An interpretative structural modeling based network reconfiguration strategy for power systems. International Journal of Electrical Power & Energy Systems,65, 83–93.
Zhao, M., Dröge, C., & Stank, T. P. (2001). The effects of logistics capabilities on firm performance: Customer-focused versus information-focused capabilities. Journal of Business Logistics,22(2), 91–107.
Zhou, Y. C., Wang, X. N., Liu, X. P., Xue, L., Liang, S., & Sun, C. H. (2010). Enabling integrated information framework as cloud services for chemical and petroleum industry. In Proceedings of 6th world congress on services (pp. 1–7), Florida, USA.
Metadata
Title
Identification of Critical Factors and Their Interrelationships to Design Agile Supply Chain: Special Focus to Oil and Gas Industries
Publication date
06-07-2020
Published in
Global Journal of Flexible Systems Management / Issue 3/2020
Print ISSN: 0972-2696
Electronic ISSN: 0974-0198
DOI
https://doi.org/10.1007/s40171-020-00247-5

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