ارائۀ مدل تداوم زنجیرۀ تأمین بر اساس رویکرد طراحی آگزیوماتیک

نوع مقاله: مقاله علمی پژوهشی

نویسندگان

1 دانشجوی دکتری مدیریت تولید و عملیات، دانشکده مدیریت، دانشگاه تهران، ایران

2 استاد گروه مدیریت صنعتی، دانشکدة مدیریت، دانشگاه تهران، تهران، ایران.

3 استادیار گروه مدیریت صنعتی، دانشکدة مدیریت، دانشگاه تهران، تهران، ایران

چکیده

در چند سال گذشته، احتمال وقوع ریسک‌ها و رویدادها در زنجیرۀ تأمین افزایش یافته است. در نتیجه، زنجیره‌ها بیش از پیش نسبت به اختلال‌ها آسیب‌پذیر بوده و ریسک تداوم زنجیرۀ تأمین افزایش یافته است. توانایی مدیریت کردن ریسک‌ها و اختلال‌ها جنبۀ مهمی است که باعث تمایز رهبران موفق کسب‌وکارها از دیگران میشود. در پژوهش حاضر به مفهوم‌سازی مدلی برای مدیریت تداوم زنجیرۀ تأمین پرداخته شده است. بدین ‌منظور، نخست با بازخوانی گستردۀ ادبیات پژوهش به شناسایی قابلیت‌ها و استراتژی‌هایی که مدیریت تداوم زنجیرۀ تأمین را امکان‌پذیر می‌کند، پرداخته شده است. نتیجۀ آن رسیدن به یک مدل مفهومی اولیه است که تداوم زنجیرۀ تأمین را معادل با سه قسمت قابلیت جذب، قابلیت انطباق و قابلیت بازیابی می­داند. هر یک از این موارد خود دارای زیرمجموعه­هایی هستند. در گام بعد، از رویکرد طراحی آگزیوماتیک فازی برای توسعه و تأیید مدل تداوم زنجیرۀ تأمین در صنعت خودرو استفاده شده است. در هر گام از توسعۀ مدل، دو آگزیوم استقلال و اطلاعات برای ارزیابی راه‌حل‌های پیشنهادی محاسبه شده و تحلیل­ها تا سه سطح انجام شده است.
 

کلیدواژه‌ها


عنوان مقاله [English]

A Mathematical Model for Power Generation Expansion Planning with Considering Distributed Generation Units and Decreasing Carbon Dioxide

نویسندگان [English]

  • Mehran Ebrahimi 1
  • Hossein Safari 2
  • Mohammad Reza Sadeghi Moghaddam 3
1 PhD Candidate, Industrial Management Department, Faculty of Management, University of Tehran
2 Prof. of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran
3 Assistant Prof. of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran
چکیده [English]

In the recent years, there has been an increase in the likelihood of the occurrence of the risks and unexpected events in supply chains. As a result, supply chains are more vulnerable to disruption and the risks on supply chain continuity has increased. The ability to manage risks and disruptions is one important aspect that differentiates between successful business leaders and others. This present research, therefore, attempts to present a system-wide approach to conceptualize a novel -to our knowledge- supply chain continuity management model. First, a systematic literature review was conducted to identify and explore appropriate capabilities and strategies that can be employed to improve the continuity of a supply chain. Then, a Fuzzy Axiomatic Design (FAD) approach was used to develop a supply chain continuity management model in automobile industry. In each step, independence and information axioms were used to evaluate the identified solutions.

کلیدواژه‌ها [English]

  • Axiomatic Design
  • Disruption
  • Risk
  • Supply Chain Continuity Management
  • Supply Chain
References
Autry, C.W. and Bobbitt, M.L. (2008). Supply Chain Security Orientation: Conceptual Development and a Proposed Framework. The International Journal of Logistics Management, 19 (1), 42–64.
Azevedo, S. G., Govindan, K., Carvalho, H. and Cruz-Machado, V. (2013). Ecosilient Index to Assess the Greenness and Resilience of the Upstream Automotive Supply Chain. Journal of Cleaner Production, 56, 131-146.
Blos, M. F., Hoeflich, S. L., and Miyagi, P. E. (2015). A General Supply Chain Continuity Management Framework. Procedia Computer Science, 55, 1160-1164.
Blos, M.F., Wee, H.M., Yang, W. (2012). Supply Chain Risk Management: Resilience and Business Continuity. Handbook on Decision Making, Springer, 33, 219-236.
Boone, C.A., Craighead, C.W., Hanna, J.A. and Nair, A. (2013). Implementation of a System Approach for Enhanced Supply Chain Continuity and Resiliency: A Longitudinal Study. Journal of Business Logistics, 34 (3), 222-235.
Chang, T.H., Hsu, S.C. and Wang, T.C. (2013). A Proposed Model for Measuring the Aggregative Risk Degree of Implementing an RFID Digital Campus System with the Consistent Fuzzy Preference Relations. Applied Mathematical Modelling, 37, 2605–2622.
Chang, W., Ellinger, A. E., and Blackhurst, J. (2015). A Contextual Approach to Supply Chain Risk Mitigation. The International Journal of Logistics Management, 26(3), 642-656.
Christopher, M., & Peck, H. (2004). Building the Resilient Supply Chain. The International Journal of Logistics Management, 15(2), 1-14.
Craighead, C.W., Blackhurst, J., Rungtusanatham, M.J. and Handfield, R.B. (2007). The Severity of Supply Chain Disruptions: Design Characteristics and Mitigation Capabilities. Decision Sciences, 38, 131-156.
Faisal, M.N., Banwet, D.K. and Shankar, R. (2006). Supply Chain Risk Mitigation: Modeling the Enablers. Business Process Management Journal, 12(4), 535-552.
Houshmand, M. and Jamshidnezhad, B. (2006). An Extended Model of Design Process of Lean Production Systems by Means of Process Variables. Robotics and Computer-Integrated Manufacturing, 22(1), 1-16.
ISO, I. (2015). ISO/TS 22318: 2015Societal Security: Business Continuity Management Systems - Guidelines for Supply Chain Continuity. International Organization for Standardization, Geneva, Switzerland.
Ivanov, D. and Sokolov, B. (2010). Handling Uncertainty in Supply Chains. In: Adaptive Supply Chain Management (81-91), Springer.
Kamalahmadi, M. and Parast, M. M. (2016). A Review of the Literature on the Principles of Enterprise and Supply Chain Resilience: Major Findings and Directions for Future Research. International Journal of Production Economics, 171, 116-133.
Khan, O. and Burnes, B. (2007), “Risk and Supply Chain Management: Creating a Research Agenda”, The International Journal of Logistics Management, Vol. 18, No. 2, pp.197-216.
Kleindorfer, P.R. and Saad, G.H. (2005). Managing Disruption Risks in Supply Chains. Production and Operations Management, 14(1), 53-68.
Pettit, T.J., Fiksel, J. and Croxton, K.L. (2010). Ensuring Supply Chain Resilience: Development of a Conceptual Framework. Journal of Business Logistics, 31(1), 1-21.
Ponomarov, S.Y. and Holcomb, M.C. (2009). Understanding the Concept of Supply Chain Resilience. The International Journal of Logistics Management, 20(1), 124-43.
Prud’homme, A. M. (2008).Business Continuity in the Supply Chain: Planning for Disruptive Events. ProQuest.
Rashid, A. H. M., Loke, S. P. and Ooi, K. B. (2014). Strengthening Supply Chain Risk Management for Business Continuity: A Case Study Approach. International Journal of Management and Enterprise Development, 13(3-4), 278-301.
Vinodh, S. (2011). Axiomatic Modelling of Agile Production System Design. International Journal of Production Research, 49(11), 3251-3269.
Wang, T-C. and Lin, Y-L. (2009). Applying the Consistent Fuzzy Preference Relations to Select Merger Strategy for Commercial Banks in New Financial Environments. Expert Systems with Applications, 36, 7019–7026.
Wieland, A. and Wallenburg, C. M. (2012). Dealing With Supply Chain Risks - Linking Risk Management Practices and Strategies to Performance. International Journal of Physical Distribution & Logistics Management, 42(10), 887-905.
Zsidisin, G. A. and Wagner, S. M. (2010). Do Perceptions Become Reality? The Moderating Role of Supply Chain Resiliency on Disruption Occurrence. Journal of Business Logistics, 31(2), 1-20.