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Lean and Agile Supply Chain Management: A Case of IT Distribution Industry in the Middle East

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Green and Lean Management

Part of the book series: Management and Industrial Engineering ((MINEN))

Abstract

Supply chain management (SCM) as one of the important research topics plays a major role in performance of organizations/stakeholders operating as the supply chain tiers . Many studies have been published to find the best theory and strategy, which can be applied to each industry or market. SCM is still a developing field and there are still gaps in understanding what its design strategies and boundaries are. There are two major modes of managing supply chain (i) lean supply chain which emphasize supply chain efficiency and (ii) agile supply chains which emphasize supply chain responsiveness and flexibility . This chapter reviews two modes of lean and agile supply chain in Information Technology (IT) distribution field in the emerging markets in the Middle East . The chapter presents key characteristics of lean and agile supply chains in IT industry. It investigates how a suitable supply chain policy can be adopted by IT hardware and services distributors in the Middle East through a case study . Is it a lean supply chain policy which emphasizes efficiency ? Or is it an agile supply chain policy which emphasizes responsiveness and flexibility? Or is it an integrated lean-agile policy based on specific activities aimed at specific results? The chapter discusses leanness and agility with a focus on the main activities carried out by IT distributors that include orders processing, professional services , inventory and logistic services. IT industry has been characterized by continuous and rapid market and customer requirements changes. These changes are applicable on all IT products/services such as networking, information security, software, service support, smart phones, IP telephony, CCTV, wireless…etc. Therefore, in IT industry, both manufacturing and service operation should be included in planning processes across its supply chain. The primary data was acquired through specifically designed interviews. The questions were based on the core factors investigated in the literature of operation management, strategic management and marketing related to IT supply chain . The core factors, which are found critical are customer satisfaction , process management , inventory levels , capabilities and services provided, are explored and analyzed through a case study in the Middle East .

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References

  • Abdulmaleka, F. A., & Rajgopal, J. (2007). Analyzing the benefits of lean manufacturing and value stream mapping via simulation: A process sector case study. International Journal of Production Economics, 107(1), 223–236.

    Article  Google Scholar 

  • Aptec website: http://www.aptecme.com/

  • Barney, J. B. (1996). The resource-based theory of the firm. Organization Science, 7, 469

    Google Scholar 

  • Bozarth, C. C., Warsing, D. P., Flynn, B. B., & Flynn, E. J. (2009). The impact of supply chain complexity on manufacturing plant performance. Journal of Operations Management, 27(1), 78–93.

    Article  Google Scholar 

  • Burns, T., & Stalker, G. M. (1961). The management of innovation. London: Tavistock.

    Google Scholar 

  • Chang, H. C. (2004). An application of fuzzy sets theory to the EOQ model with imperfect quality items. Computers & Operations Research, 31(12), 2079–2092.

    Article  MathSciNet  MATH  Google Scholar 

  • Chen, S. H., & Wang, C. C. (1996). Backorder fuzzy inventory model under functional principle. Information Sciences, 95(1–2), 71–79.

    Article  Google Scholar 

  • Choi, T. Y., & Krause, D. R. (2006). The supply base and its complexity: Implications for transaction costs, risks, responsiveness, and innovation. Journal of Operations Management, 24(5), 637–652.

    Article  Google Scholar 

  • Christopher, M. (2000). The agile supply chain: Competing in volatile markets. Industrial Marketing Management, 29(1), 37–44.

    Article  MathSciNet  Google Scholar 

  • Christopher, M., Helen, P., & Denis, T., (2006). A taxonomy for selecting global supply chain strategies. International Journal of Logistics Management, 17(2), 277–287.

    Google Scholar 

  • Closs, D. J., Jacobs, M. A., Swink, M., & Webb, G. S. (2008). Toward a theory of competencies for the management of product complexity: Six case studies. Journal of Operations Management, 26(5), 590–610.

    Article  Google Scholar 

  • Dembowski, S., & Hammer-Lloyd, S. (1995). Computer applications: A new road to qualitative data analysis? European Journal of Marketing, 29(11), 50–63.

    Article  Google Scholar 

  • Dove, R. (2005). Agile enterprise cornerstones: Knowledge, values, and response ability. In R. Baskerville (Ed.), Business agility and information technology diffusion. Berlin: Springer.

    Google Scholar 

  • Eisenhardt, K. M. (1985). Control: Organizational and economic approaches. Management Science, 31(2), 134–149.

    Article  Google Scholar 

  • Fisher, M. (1997). What is the right supply chain for your product? A simple framework—Can you figure out the answer? Harvard Business Review, 75(2), 105–116.

    Google Scholar 

  • Frayret, J. M., D’Amours, S., Montreuil, B., & Cloutier, L. (2001). A network approach to operate agile manufacturing systems. International Journal of Production Economics, 74, 239–259.

    Google Scholar 

  • Hambrick, D. C. (1983). High profit strategies in mature capital goods industries: A contingency approach. Academy of Management Journal, 26, 687–707.

    Article  Google Scholar 

  • Harris, F. W. (1915). What quantity to make at once. In The library of factory management, Vol. V. Operation and Costs (pp. 47–52). Chicago: A. W. Shaw Company.

    Google Scholar 

  • Holsapple, C. W., & Jones, K. G. (2005). Exploring secondary activities of the knowledge chain. Knowledge and Process Management, 12(1), 3–31.

    Article  Google Scholar 

  • Jobber, D., & Ellis-Chadwick, F. (2013). Principles and practice of marketing (p. 648).

    Google Scholar 

  • Johnson, G., Scholes, K., & Whittington, R. (2014). Fundamental of strategy (p. 48).

    Google Scholar 

  • Kim, W., & Mauborgne, R. (2005). Blue ocean strategy. Boston, MA: Harvard Business School Press.

    Google Scholar 

  • Krafcik, J. F. (1988). Triumph of the lean production system. Sloan Management Review, 30(1), 41–52.

    Google Scholar 

  • Lassar, W. M., & Kerr, J. L. (1996). Strategy and control in supplier-distributor relationships: An agency perspective. Strategic Management Journal, 17(8), 613–632.

    Article  Google Scholar 

  • Lee, H. L. (2004). The triple-a supply chain. Harvard Business Review, 82(10), 102–112.

    Google Scholar 

  • Logicom distribution website: http://www.logicomdistribution.net/EN/Pages/Home.aspx.

  • Lummus, R., & Vokurta, R. (1999). Defining supply chain management: A historical perspective and practical guidelines. Industrial Management & Data Systems, 99(1), 11–17.

    Article  Google Scholar 

  • Mentzer, J. T., DeWitt, W., Keebler, J. S., Min, S., Nix, N. W., Smith, C. D., et al. (2001). Defining supply chain management. Journal of Business Logistics, 22(2), 1–25.

    Article  Google Scholar 

  • Miller, D. (1987). Material culture and mass consumption. Oxford: Basil Blackwell.

    Google Scholar 

  • Miller, D. (1988). Relating Porter’s business strategies to environment and structure: Analysis and performance implications. Academy of Management Journal, 31, 280–308.

    Article  Google Scholar 

  • Miller, D., & Friesen, P. (1986). Porter’s (1980) generic strategies and performance: An empirical examination with American Data. Part I: Testing Porter, Organization Studies (p. 7).

    Google Scholar 

  • Park, K. S. (1987). Fuzzy-set theoretic interpretation of economic order quantity. IEEE Transactions on Systems, Man, and Cybernetics, 17(6), 1082–1084.

    Article  Google Scholar 

  • Porter, M. (1980). Competitive strategy: Techniques for Analyzing industries and companies. New York, NY: Free Press.

    Google Scholar 

  • PwC Survey. (2015). Global Operation Survey. http://operationssurvey.pwc.com/ and http://operationssurvey.pwc.com/PwC-2015-Global-Operations-Survey.pdf. Accessed June 10th, 2016.

  • Roy, T. K., & Maiti, M. (1997). A fuzzy EOQ model with demand-dependent unit cost under limited storage capacity. European Journal of Operational Research, 99(2), 425–432.

    Article  MathSciNet  MATH  Google Scholar 

  • Sambamurthy, V., Bharadwaj, A., & Grover, V. (2003) Shaping agility through digital options: Reconceptualizing the role of information technology in contemporary firms. MIS Quarterly, 27, 2.

    Google Scholar 

  • Schonberger, R. J. (2007). Japanese production management: An evolution with mixed success. Journal of Operations Management, 25(2), 403–419.

    Article  Google Scholar 

  • Shah, R., & Ward, P. T. (2003). Lean manufacturing: Context, practice bundles, and performance. Journal of Operations Management, 21(2), 129–149.

    Article  Google Scholar 

  • StarLink website. http://www.starlinkme.net/. Accessed May 10, 2016.

  • Van Hoek, R. I., Harrison, A., & Christopher, M. (2001). Measuring agile capabilities in the supply chain. International Journal of Operations & Production Management, 21(1–2), 126–148.

    Article  Google Scholar 

  • Van Hoek, R. I., & Mitchell, A. J. (2006). The challenge of internal misalignment. International Journal of Logistics: Research and Applications., 9(3), 269–291.

    Article  Google Scholar 

  • Westcon group website: http://www.westcongroup.com/

  • Williamson, O. (1996). The mechanisms of governance. Economia Politica, 1999(3), 509–512

    Google Scholar 

  • Womack, J. P., & Daniel, T. J. (2003). Lean thinking (p. 352). New York: Free Press.

    Google Scholar 

  • Womack, J., & Jones, D. (1996). Lean thinking: Banish waste and create wealth in your corporation. New York, NY: Simon & Schuster.

    Google Scholar 

  • Yao, J. S., Chang, S. C., & Su, J. S. (2000). Fuzzy inventory without backorder for fuzzy order quantity and fuzzy total demand quantity. Computers and Operational Research, 27(10), 935–962.

    Article  MATH  Google Scholar 

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Reza Abdi, M., Edalat, F.D., Abumusa, S. (2017). Lean and Agile Supply Chain Management: A Case of IT Distribution Industry in the Middle East. In: Machado, C., Davim, J. (eds) Green and Lean Management. Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-44909-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-44909-8_3

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