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عنوان URL للمقالة


رقم المقالة : 663858 زيارة : 421 الصفحة: 43 - 54

نوع المخطوط: ابحاث

A Hybrid Model for Evaluating Leagile Supply Chain Performance in Industry

الموضوعات :

Sayyid Ali Banihashemi 1 , Zahra Heydarnia 2

1 - Department of Industrial Engineering, Payame Noor University, Iran
2 - Department of Management, Payame Noor University, Iran

تاريخ الإرسال : 05 الثلاثاء , رجب, 1440 تاريخ التأكيد : 05 الثلاثاء , رجب, 1440 تاريخ الإصدار : 13 الخميس , جمادى الثانية, 1439

الکلمات المفتاحية: Agile Supply Chain, Industry, supply chain management, Lean Supply Chain, Leagile Manufacturing,

ملخص المقالة :

Supply chain management (SCM) is one of the most important of the areas that have recently generated a great deal of interest in both industry and academia. SCM is considered an integrating philosophy to manage the total flows of materials, products and information from suppliers to the ultimate customers. The changing conditions of competition, for organizations to become more responsive and also more efficient are driving the interest in the concept of supply chain agility and leanness. The main objective of this paper is to suggest an index to reflect the agility and leanness of companies and corresponding SCs in the industry. The purpose of this paper, providing an index using two paradigms, Lean supply chain and Agile supply chain, to evaluate the Company's performance. Therefore, company to review its supply chain list, a series of criteria that are discussed in paradigm, and weighted those uses AHP method. The company evaluated its performance using a standardized questionnaire designed.

المصادر:

References

  1. Agarwal, A., Shankar, R., Tiwari, M.K. (2007). Modeling agility of supply chain, Journal of Industrial Marketing Management, 36: 443-457.
    2.
  2. Al-Aomar, R., Hussain, M. (2018). An assessment of adopting lean techniques in the construct of hotel supply chain, Tourism Management, 69: 553-565.
    3.
  3. Anand, G., Kodali, R. (2008). Development of a framework for implementation of Lean manufacturing systems, International Journal of Management Practice, 4(1): 95–116.
    4.
  4. Azevedo, S.G., Carvalho, H., Duarte, S., Cruz-Machado, V. (2012). Influence of green and lean upstream supply chain management practices on business sustainability, Ieee Transactions on Engineering Management, 59(4): 753-765.
    5.
  5. Babalola, O., Ibem, E.O., Ezema, I.C. (2019). Implementation of lean practices in the construction industry: A systematic review, Building and Environment, 148: 34-43.
    6.
  6. Banerjee, A., Ganjeizadeh, F. (2017). Modeling a Leagilty Index for Supply Chain Sustenance, Procedia Manufacturing, 11: 996-1003.
    7.
  7. Banihashemi, S.A. (2011). Improving supply chain performance: The stratrgic integration of lean and agile supply chain, African Journal of Business Mangement, 5(17): 7557-7563.
    8.
  8. Collin, J., Lorenzin, D. (2006). Plan for supply chain agility at Nokia: lessons from the mobile infrastructure industry. International Journal of Physical Distribution & Logistics Management, 36(6):418–30.
    9.
  9. Chan, F., Kumar, V. (2009). Performance optimization of a leagility inspired supply chain model: a CFGTSA algorithm based approach, International Journal of Production Research, 47(3): 99-777.
    10.
  10. Christopher, M., Towill, D.R. (2002). An integrated model for the design of agile supply chains, International Journal of physical Distribution and Logistics, 31(4): 235-246.
    11.
  11. Christopher,  M. (2000). The Agile supply chain: Competing in volatile Markets, Industrial Marketing Management, 29(1): 37-44.
    12.
  12. Dawe, RL. (1994). An investigation of the pace and determination of information technology use in the manufacturing materials logistics system. Journal of Business Logistics, 15(1):229–58.
    13.
  13. Demeter, K., Matyusz, Z. (2011). The impact of Lean practices on inventory turnover, International Journal of Production Economics, 133(1): 63-154.
    14.
  14. 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: 909-916.
    15.
  15. Disney, S., Naim, M., Towill, D. (1997). Dynamic simulation modeling for Lean logistics, International Journal of Physical Distribution & Logistics Management, 27(3-4): 96-174.
    16.
  16. Gurumurthy, A., Kodali, R. (2009). Application of benchmarking for assessing the Lean manufacturing implementation, Benchmarking: An International Journal, 16(2): 274–308.
    17.
  17. Khan, K., Bakkappa, B., Sahary, B. (2009). Impact of agile supply chain delivery practices on firm's performance: cluster analysis and validation, International Journal of Supply Chain Management, 14(1): 8-41.
    18.
  18. Li, S.H., Ragu-Nathan, B., Ragu-Nathan, T.S. (2005). Development and validation of a measurement instrument for studying supply chain management practices, Journal of Operations Management, 23(6): 618-641.
    19.
  19. Lin, C.T., Chiu, H., Chu, P.Y. (2006). Agility index in the supply chain, International Journal of Production Economics, 100: 285-299.
    20.
  20. Liu, S., Chan, F.T.S., Yand, J., Niu, B. (2018). Understanding the effect of cloud computing on organizational agility: An empirical examination, International Journal of Information Management, 43: 98-111.
    21.
  21. Martin, R., Patterson, W. (2009). On measuring company performance within a supply chain, International Journal of Production Research, 47(9): 2449-2460.
    22.
  22. Marodin, G., Frank, A.G., Luz Tortorella, G., Netland, T. (2018). Lean product development and lean manufacturing: Testing moderation effects, International Journal of Production Economics, 203: 301-310.
    23.
  23. Masood, Z., Hoda, R., Blincoe, K. (2018). Adapting agile practices in university contexts, Journal of Systems and Software, 144: 501-510.
    24.
  24. Message Costa, L.B., Filho, M.G., Fredendall, L.D., Gomez Paredes, F.J. (2018). Lean, six sigma and lean six sigma in the food industry: A systematic literature review, Trends in Food Science & Technology, 82: 122-133.
    25.
  25. Melton, T. (2005). The benefits of Lean manufacturing: what Lean thinking has to offer the process industries, Chemical Engineering Research and Design, 83(6): 73-662.
    26.
  26. Mistry, J. (2005). Supply chain management: a case study of an integrated Lean and agile model. Qualitative Research in Accounting and Management, 2(2):193–215.
    27.
  27. Mohammed, I.R., Shankar, R. Banwet, D.K. (2008). Creating flex-lean-agile value chain by outsourcing: an ISM-based interventional roadmap, Business Process Management Journal, 14(3): 338-89.
    28.
  28. Naylor, J. B., Naim, M.M., Berry, D. (1999). Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain, International Journal of Production Economics, 62(1-2): 107-118.
    29.
  29. Ketchen, D.J, Hult, G.T.M. (2007). Bridging organization theory and supply chain management: The case of best value supply chains, Journal of Operations Management, 25: 573-580.
    30.
  30. Kisperska-Moron, D., Swierczek, A. (2009). The agile capabilities of polish companies in the supply chain: An empirical study, International Journal of Production Economics, 118: 217-224.
    31.
  31. Kuei, C., Madu, C.N. (2001). Identifying critical success factors for supply chain quality management, Asia Pacific Management Review, 6(4): 409-423.
    32.
  32. Quinn, F.J. (1997). What’s the buzz? Logistics Management, 36(2):43–7.
    33.

Qi, Y., Boyer, K., Zhao, X. (2009). Supply chain strategy, product

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