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ISSN:2222-7059 (Print);EISSN: 2222-7067 (Online)
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Title : Key Performance Indices Evaluation in Multi-Layer Supply Chain Using Mathematical Model
Author(s) : Hasan Mehrmanesh, Niloofar Tajaddod Alizadeh, Hamed Fazlollahtabar
Author affiliation : 1 Department of Industrial Management, Tehran Markaz Branch, Islamic Azad University, Tehran, Iran
2 Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Corresponding author img Corresponding author at : Corresponding author img  

This study aims to design and optimization of multi-layer supply chain with identifying the appropriate processes in economic, operational and strategic perspectives that result to optimal decisions. In the current issue, the Key Performance Indicators in a 3-layer supply chain is analyzed and finally it leads to design a mathematical model for the decision making. Decisions of the discussed mathematical model are in the class of the operational decisions in supply chain and a good guideline for managers and users of supply chain. Considering Key Performance Indicators creates favorable Executive Perspective during transferring the flow of materials and information for chain including suppliers, manufacturers and customers. In order to optimize the mathematical model, risk and profits are also considered. Finally, after the model is implemented in the Lingo software, effective key indicators are to be identified in order to improve the supply chain performance and increase profits.

Key words:Supply Chain; Key Performance Indicator; Mathematical Model

Cite it:
Hasan Mehrmanesh, Niloofar Tajaddod Alizadeh, Hamed Fazlollahtabar, Key Performance Indices Evaluation in Multi-Layer Supply Chain Using Mathematical Model, Advances in Industrial Engineering and Management, Vol.3, No.3, 2014, pp.17-24, doi: 10.7508/AIEM-V3-N3-17-24

Full Text : PDF(size: 226.11 kB, pp.17-24, Download times:347)

DOI : 10.7508/AIEM-V3-N3-17-24

[1] Beamon, M. B. (1999). Measuring supply chain performance. International Journal of Operations & Productions Management, 19(3), 275-292.
[2] Bongsug (Kevin) Chae, (2009) "Developing key performance indicators for supply chain: an industry perspective", Supply Chain Management: An International Journal, Vol. 14 Iss: 6, pp.422 - 428.
[3] Bradford, K. D., Stringfellow, A., & Weitz, B. (2004). Managing conflict to improve the effectiveness of retail Networks. Journal of Retailing, 80(3), 181-195.
[4] Burgess, Kevin. Singh, Prakash J. and Rana Koroglu. (2006). "Supply chain management: a structured literature review and implications for future research", International Journal of Operations & Production Management, Vol. 26, No. 7, pp. 703-729.
[5] Cai Jian& Liu Xiangdong & Xiao Zhihui& Liu Jin, " Improving supply chain performance management: A systematic approach to analyzing iterative KPI accomplishment”, Decision Support Systems,46, 2009,pp 212-521.
[6] Chan, F. T. S., & Qi, H. J. (2003). An innovative performance measurement method for supply chain management. Supply Chain Management: An International Journal, 8(3), 209-223.
[7] Clemencic,(2006). A., Management of the supply chain-Case of Danfoss District Heating Business Area. Master’s Degree Thesis.
[8] Cooper, M. C., Lambert, D. M., & Pagh, J. D. (1997). Supply chain management: More than a new name for logistics. International Journal of Logistics Management, 8(1), 1-13.
[9] Laudon, K. and Lauden,J., Management information system, Prentice-Hall.4,2002- Shields M6.E-Busines and ERP, 2001 Whilley.
[10] Mabert.V.A, Vnkataremanam.M.A, Special research focus on supply chain linkage: Challenges for design & management in 21 century, Decision Science,2002, Vol.2.
[11] Maskell, B. H. (1991). Performance measurement for world class manufacturing. Productivity Press, Portland, Oregon.
[12] Morgan, Chris. (2007). "Supply network performance measurement: future challenges?" The International Journal of Logistics Management. Vol.18 No.2, pp. 255-273.
[13] Najmi, Manoochehr. Riga’s, John. and Ip-Shing Fan. (2005). "A framework to review performance measurement systems", Business process Management Journal, Vol.11, Issu2, pp.109-122. (in Persian).
[14] Thomas Gulledge, Tamer Chavusholu, (2008) "Automating the construction of supply chain key performance indicators", Industrial Management & Data Systems, Vol. 108 Iss: 6, pp.750–774.
[15] W.H. Ip, S.L. Chan, C.Y. Lam, (2011) "Modeling supply chain performance and stability", Industrial Management & Data Systems, Vol. 111 Iss: 8, pp.1332 - 1354

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