Evaluation and selection of the most important parameters in the distribution chain agility Combine Owners Cooperative Fars province

Document Type : Research Paper

Authors

1 University Of Tehran

2 University of Tehran

Abstract

The aim of supply chain is to reduce cost and increase service level. Distribution has an important role in supply chain management. Combine owners cooperative has an important role in reducing wastages before harvest due to delay. Agriculture products are sensitive to an environment that is changing constantly, since, needs for appropriate reactions of cooperatives has doubled. Requirement for respond effectively to these changes is to achieve agility. In this research agility criteria identified from previous studies. A Questionnaire was prepared and completed in order to identify the most important measures for agility of cooperative distribution chain. The important agility criteria were identified and were rated by using SAW method which after calculating A*, three parameters including sensitive and responsive to the market and customers, speed of work and introduction of a new product with value of 0.08620 were concern primarily and correct planning, reduce costs, and consolidate tasks and process, using IT, customer satisfaction, flexibility, quality of services and the development of staff skills values are 0.082328, 0.077243, 0.074230, 0.073355, 0.071509, 0.069464, 0.065749 and 0.063601 respectively and were in second place to ninth.

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References

Agarwal, A., Shankar, R., Tiwari, M. K. (2007). Modeling agility of supply chain; Industrial Marketing Management, 36, 443-457.
Angilella, S., Currents, S., Greco, S., Słowiński, R. (2014). MUSA-INT: Multi criteria customer satisfaction analysis with interacting criteria. Omega, 42, 189-200.
Asadi, H. Pirayesh far, Mostofi, M. (2006). Studying economic value of wheat losses according to available researches.  Agricultural engineering and natural resources, 4 (14), 46. (In Farsi)
Asgharpour, M. J. (2010). Multi-criteria decision making, Published by university of Tehran. (In Farsi)
Denpontion, M., Mascarola, H., Spronk, J. (1983). A user oriented listing of MCDM. Revue Beige de Researche Operationelle, 23, 3-11.
Fathi-Ashtiyani, A. (2010). Psychological tests, Tehran. (In Farsi)
Gillis, W., Castrogiovanni, G. J. (2012). The franchising business model: an entrepreneurial growth alternative. International Entrepreneurship and Management Journal, 8(1), 75-98.
Gunasekaran, A., Lai, K. H., Cheng, T. E. (2008). Responsive supply chain: a competitive strategy in a networked economy. Omega, 36(4), 549-564.
Helo, P., Xiao, Y., Roger Jiao, J. (2006). A web-based logistics management system for agile supply demand network design. Journal of Manufacturing Technology Management, 17(8), 1058-1077.
Hobbs, B. F. (1986). What can we learn from experiments in multi objective decision analysis? IEEE Transactions on Systems, Man, and Cybernetics, 16(3), 384-394.
Hwang, C. L., Yoon, K. (2012). Multiple attribute decision making: methods and applications a state-of-the-art survey (Vol. 186). Springer Science & Business Media.
Lin, H. F., Chen, C. H. (2013). An intelligent embedded marketing service system based on TV apps: Design and implementation through product placement in idol dramas. Expert Systems with Applications, 40(10), 4127-4136.
Martelo, S., Barroso, C., Cepeda, G. (2013). The use of organizational capabilities to increase customer value. Journal of Business Research, 66(10), 2042-2050.
Nouri. gh, Tabatabaeiyan. S. (2006). Analyzing sensitivity of multi-criteria decision making issues respect to used method. (In Farsi)
Power, D. J., Sohal, A. S., Rahman, S. U. (2001). Critical success factors in agile supply chain management-An empirical study. International journal of physical distribution & logistics management, 31(4), 247-265.
Salami, A., Shahbaz Moradi, S., Bamdad Soofi, J. (2008). The design and construction of large-scale research approach with a total score of Likert in the management. Journal of science management. Spring . N80. (In Farsi)
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.
Soltan-Panah, H., Farughi, H. Golabi, M. (2010). Approaching and comparing multi-criteria decision making methods in country ranking based on human developing. Journal of science and technology.  (In Farsi)
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.
Tizro, A. Azar, A. Ahmadi, R., Rafiee, M. (2011). Presentation agility model of the Zob ahan stock supply chain. Journal of Industrial management, 3(7), 17-36. (In Farsi)
White, D. J. (1982). Multiple Attribute Decision Making–A State-of-the-Art Survey. Journal of the Operational Research Society, 33(3), 289-289.
Yeung, A. C. (2008). Strategic supply management, quality initiatives, and organizational performance. Journal of Operations Management, 26(4), 490-502.
 Zhang, H., Fu, X., Cai, L. A., Lu, L. (2014). Destination image and tourist loyalty: A meta-analysis. Tourism Management, 40, 213-223.
Zhao, M., Qiu, W. H., Liu, B. S. (2010). Relative entropy evaluation method for multiple attribute decision making [J]. Control and Decision, 25(7), 1098-1100.
 
 
Iranian Journal of Biosystems Engineering
Volume 48, Issue 2
July 2017
Pages 201-209

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History

  • Receive Date: 04 October 2016
  • Revise Date: 03 January 2017
  • Accept Date: 30 January 2017

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