4دانشجوی دکتری مدیریت صنعتی دانشگاه علامه طباطبایی و عضو هیأت علمی دانشگاه آزاد اسلامی یزد
چکیده
موفقیت یک شرکت بستگی به توانایی آن در یکپارچگی و هماهنگی، در شبکه پیچیدهای از ارتباطات تجاری در میان اجزای زنجیره تأمین دارد. در این فضای رقابتی شدید، کلید مزیت رقابتی پایدار در ارائه خدمات و هماهنگی در انجام فعالیتها با کیفیت بالا است که در نهایت منجر به رضایتمندی مشتری نهایی خواهد شد. هدف از این تحقیق ارائه مدلی برای ارزیابی انعطافپذیری بین اجزای مختلف زنجیره تأمین (تأمینکننده، تولیدکننده، توزیعکننده و مشتری) است. روششناسی تحقیق مبتنی بر مطالعه جامع مبانی نظری و شناسایی و گروهبندی شاخصها با استفاده از تحلیل عاملی است. همچنین، ارائه مدل مبتنی بر مهمترین عوامل ایجاد انعطافپذیری در زنجیره تأمین هدف اصلی میباشد. این عوامل در سه گروه در نظر گرفته شدند: بین تأمینکننده و تولیدکننده، بین تولیدکننده و توزیعکننده، بین توزیعکننده و مشتری؛ و تأثیرات بین همه عوامل از تأمین کننده به سمت مشتری ترسیم شد. نتایج نظر سنجی از خبرگان منتخب در صنعت کاشی و سرامیک ایران، نشان داد که تمامی روابط پیشنهادی قابل قبول بوده و مدل مورد تایید میباشد. بنابراین، توجه به تمامی این عوامل بر انعطافپذیرتر نمودن زنجیره تأمین کاشی و سرامیک ایران مؤثر است. همچنین اثرات این عوامل بر روی هم نشان داد که توجه به علتها میتواند افزایش انعطافپذیری را تسهیل کند.
1- Aquilani R, et al. (1995) Branched-chain amino acids may improve recovery from a vegetative or minimally conscious state in patients with traumatic brain injury: A pilot study. Arch Phys Med Rehabil 89:1642–1647.
2- Aquilano, N. J., Chase, R. B., and Davis, M. M. (1995), Fundamentals of Operations Management, Irwin, Chicago, IL
3- Blome, Constantin., Schoenherr, Tobias., Eckstein, Dominik., (2014). The impact of knowledge transfer and complexity on supply chain flexibility: A knowledge-based view, Original Research Article International Journal of Production Economics, Vol. 147, Pp. 307-316
4-Blome, Constantin., Schoenherr, Tobias., Eckstein, Dominik., (2014). The impact of knowledge transfer and complexity on supply chain flexibility: A knowledge-based view, International Journal of Production Economics, Volume 147, Pages 307-316.
5- Christopher, M. (2005) Logistics and Supply Chain Management: Creating Value-Adding Networks, 3rd edition, Harlow, UK: Pearson Education.
6- Dehning, Bruce, Richardson, Vernon J., Zmud, Robert W., (2007). The financial performance effects of IT-based supply chain management systems in manufacturing firms, Journal of Operations Management, Volume 25, Issue 4, pp. 806-824.
7- Douglas, Long., (2003). International Logistics: Global Supply Chain Management, Kluwer academic publishers.
8- Duclos, L.K., Vokurka, R.J. and Lummus, R.R. (2003), “A conceptual model of supply chain management”, Industrial Management & Data Systems, Vol. 103 Nos 5/6, pp. 446-56.
9- Gunasekaran, Angappa., Lai, Kee-hung., Cheng, T.C. Edwin., (2008). esponsive supply chain: A competitive strategy in a networked economy, Omega, Volume 36, Issue 4, pp. 549-564.
10- Hamel, G. (2000) Leading the Revolution. Boston: Harvard Business School Press.
11- Hummel, Diana (2000): Der Bevölkerungsdiskurs. Demographisches Wissen und politische Macht. Opladen: Leske & Budrich.
12- Inda Sukati, Abu Bakar H, Rohaizat Baharun, Rosman Md Y., (2012).The Study of Supply Chain Management Strategy and Practices on Supply Chain Performance: Procedia - Social and Behavioral Sciences 40, pp. 225 – 233.
13- Ka-Leung Moon, Karen., Ying Yi, Candace., Ngai, E.W.T., (2012). An instrument for measuring supply chain flexibility for the textile and clothing companies, European Journal of Operational Research, Volume 222, Issue 2, pp. 191-203.
14- Kara. S., Kayis, B., (2004). Manufacturing flexibility and variability: an overview, Journal of Manufacturing Technology Management, Vol. 15, pp. 466-478.
15- Kesen, Saadettin Erhan., Kanchanapiboon, Atipol, Das, Sanchoy K., (2010). Evaluating supply chain flexibility with order quantity constraints and lost sales, International Journal of Production Economics, Volume 126, Issue 2, pp. Pages 181-188.
16- Kramarz, Marzena., Kramarz, Włodzimierz, (2014). The Flexibility and Specialization of Resources - Competitive Strategies of Materials Decoupling Points of a Network Supply Chain of Metallurgic Products, Procedia - Social and Behavioral Sciences, Volume 111, 5, pp. 741-750.
17- Kumar, V., Fantazy, K.A., Kumar, U. and Boyle, T.A. (2006), “Implementation and management framework for supply chain flexibility”, Journal of Enterprise Information Management, Vol. 19 No. 3, pp. 303-19.
18- Lin, Ching-Torng., Chiu, Hero., Chu, Po-Young,. (2006). Agility index in the supply chain, International Journal of Production Economics, Volume 100, Issue 2, pp. 285-299.
19- Lummus, R.R. and Vokurka, R.J. (1999) ‘Defining supply chain management: a historical perspective and practical guidelines’, Industrial Management & Data Systems, Vol. 99, No. 1, pp.11–17.
20- Narasimhan, R. and Das, A. (1999), “Manufacturing agility and supply chain management practices”, Production & Inventory Management Journal, Vol. 40 No. 1, pp. 4-10.
21- Narasimhan, R. and Das, A. (1999), “Manufacturing agility and supply chain management practices”, Production & Inventory Management Journal, Vol. 40 No. 1, pp. 4-10.
22- OLHAGER, J. ; WEST, B.M., (2002). The house of flexibility: using the QFD approach to deploy manufacturing flexibility, International Journal of Operations & Production Management, Vol. 22 No. 1, pp. 50-79.
23- Olhager, J. and West, B.M. (2002), “The house of flexibility: using the QFD approach to deploy manufacturing flexibility”, International Journal of Operations & Production Management, Vol. 22 No. 1, pp. 50-79.
24- Pujawan, I.N. (2004), “Assessing supply chain flexibility: a conceptual framework and case study”, International Journal of Integrated Supply Management, Vol. 1 No. 1, pp. 79-97.
25- Rice, J., & Caniato, F. (2003). Building a secure and resilient supply chain. Supply chain management review, 7(5), 22-30.
26- Sa´nchez, Angel Martı´nez., Pe´rez, Manuela., (2005). Supply chain flexibility and firm Performance; A conceptual model and empirical study in the automotive industry, International Journal of Operations & Production Management, Vol. 25 No. 7, pp. 681-700.
27- Shepherd ,Craig & Gunfer, Hannes., 2006. Measuring Supply Chain Performanc. International Journal pf Productivity and Performance Management, Bradford .vo.l55
28- Shepherd, Craig., Gunfer, Hannes., (2006). Measuring Supply Chain Performance. International Journal of Productivity and Performance Management, Bradford .vo.l55
29- Slack, N. (2005), “The changing nature of operations flexibility”, International Journal of Operations & Production Management, Vol. 25 No. 12, pp. 1201-10.
30- Stadler, H., Kilger, C., (2005). Supply chain management and advanced planning, Concepts, Models, Software and Case Studies, Third Edition, Springer, Berlin.
31- Stavrulaki, Euthemia., Davis, Mark., (2010). Aligning products with supply chain processes and strategy, International Journal of Logistics Management, Volume: 21, Issue: 1.
32- Stevenson, Mark., Spring, Martin., (2007). Flexibility from a supply chain perspective: definition and review, International Journal of Operations & Production Management Vol. 27 No. 7, pp. 685-713.
33- Suarez, F.F., Cusumano, M.A. and Fine, C.H. (1995), “An empirical study of flexibility in manufacturing”, Sloan Management Review, Vol. 37 No. 1, pp. 25-32.
34- Suarez, F.F., Cusumano, M.A. and Fine, C.H. (1995), “An empirical study of flexibility in manufacturing”, Sloan Management Review, Vol. 37 No. 1, pp. 25-32.
36- Swafford, P., Ghosh, S. and Murthy, N. (2002), “A model of global supply chain agility and its impact on competitive performance“, Proceedings of the 31st National DSI Meeting, Orlando, Florida pp. 1037-39.
37- Swafford, P.M., Ghosh, S. and Murthy, N. (2003), “The antecedents of supply chain agility of a firm: scale development and model testing”, Journal of Operations Management, Vol. 24, pp. 170-88.
38- Swafford, P.M., Ghosh, S. and Murthy, N. (2006), “The antecedents of supply chain agility of a firm: scale development and model testing”, Journal of Operations Management, Vol. 24, pp. 170-88.
39- Tomlim, B. (2006). On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks. Management Science, 52(5), 639-657.
40- Tong, C.H. and Tong, L.I. (2006), “Exploring the cornerstones of Wal-Mart’s success and competitiveness”, Competitiveness Review, Vol. 16 No. 2, pp. 143-9.
41- Vickery, S., Calantone, R. and Dro¨ge, C. (1999), “Supply chain flexibility: an empirical study”, The Journal of Supply Chain Management, Vol. 35 No. 1, pp. 16-24.