Recent Advances in Supply Chain Costs-based Importance Measures in Supply Chain Systems Reliability

Author(s): Dui Hongyan*, Li Ceng, Zhang Chi.

Journal Name: Recent Patents on Computer Science

Volume 12 , Issue 3 , 2019

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Abstract:

Background: In recent years, the cost is becoming one of the biggest obstacles for the effective operation of supply chain. It is increasingly urgent to minimize the cost and optimize the supply chain system. However, importance measures have been little used in it as a research focus in solving the optimization problems.

Methods: With respect to the foregoing, this paper combines the reliability, importance measures and cost issues to improve the supply chain. Supply chain costs can be divided into three classes: design cost, manufacturing cost, and inventory cost.

Results: Then importance measures based on the costs are given and demonstrated in a case study. Results show that the optimal system and minimal cost can be obtained by focusing on the important parts in supply chain operation.

Conclusion: The importance order and the key elements identification are helpful to increase the operational efficiency of the supply chain and provide effective methods for improving the supply chain management.

Keywords: System reliability, importance measure, supply chain, design cost, manufacturing cost, inventory cost.

[1]
S. Bhakthavatchalam, C. Diallo, U. Venkatadri, and A. Khatab, "Quality, reliability, maintenance issues in closed-loop supply chains: A review", IFAC-Papers Online, vol. 48, pp. 460-465, 2015.
[2]
M. Kamalahmadi, and M. Mellatparast, "Developing a resilient supply chain through supplier flexibility and reliability assessment", Int. J. Prod. Res., vol. 54, pp. 302-321, 2016.
[3]
G. Li, L. Zhang, X. Guan, and J. Zheng, "Impact of decision sequence on reliability enhancement with supply disruption risks", Transp. Res., Part E Logist. Trans. Rev., vol. 90, pp. 25-38, 2016.
[4]
W.C. Yeh, and C.L. Huang, "Evaluation the performance of supply chain based on the network reliability", Prognostics and System Health Management Conference Chengdu, China 2016, pp. 1-4.
[5]
H. Su, J. Zhang, E. Zio, N. Yang, X. Li, and Z. Zhang, "An integrated systemic method for supply reliability assessment of natural gas pipeline networks", Appl. Energy, vol. 209, pp. 489-501, 2018.
[6]
C. Ha, H. Jun, and C. Ok, "A mathematical definition and basic structures for supply chain reliability: A procurement capability perspective", Comput. Ind. Eng., vol. 120, pp. 334-345, 2018.
[7]
C. Wu, and D. Barnes, "Design of agile supply chains including the trade-off between number of partners and reliability", Int. J. Adv. Manuf. Technol., vol. 97, pp. 3683-3700, 2018.
[8]
S.Y. Sohn, and I.S. Choi, "Fuzzy QFD for supply chain management with reliability consideration", Reliab. Eng. Syst. Saf., vol. 72, pp. 327-334, 2001.
[9]
H.P. Wlendahl, G.V. Cleminskf, and C. Begemann, "A systematic approach for ensuring the logistic process reliability of supply chains", CIRP Ann. Manufactur. Technol., vol. 52, pp. 375-380, 2003.
[10]
S.J. Hong, I.W.G. Kwon, and J. Li, "Assessing the perception of supply chain risk and partnerships using importance performance analysis model: A case study of SMEs in China and Korea", Supp. Chain Forum Int. J., vol. 15, pp. 110-125, 2014.
[11]
Z. Tian, and H. Liu, "Evaluation method for node importance in container supply chain network", Int. J. Serv. Technol. Manag., vol. 22, pp. 145-161, 2016.
[12]
Y. Yan, and W. Xu, "A complex network theory for cascading failure problem in an interdependent food supply chain network", Int. J. Future Gen. Commun. Network., vol. 9, pp. 343-354, 2016.
[13]
D. Li and A. Nagurney, "Supply chain performance assessment and supplier and component importance identification in a general competitive multitiered supply chain network model", J. Glob. Optim., vol. 67, pp. 223-250, 2017.
[14]
M.S. Islam, M.L. Tseng, N. Karia, and C.H. Lee, "Assessing green supply chain practices in Bangladesh using fuzzy importance and performance approach", Resour. Conserv. Recycling, vol. 131, pp. 134-145, 2018.
[15]
Y.H. Li, and J.W. Huang, "The moderating role of relational bonding in green supply chain practices and performance", J. Purchasing Supply Manage., vol. 23, pp. 290-299, 2017.
[16]
J.J. Rice, and K. Royyuru Ajay, Techniques for reconstructing supply chain networks using pair-wise correlation analysis. US Patent 7433857, 2008.
[17]
J. Dooley John, and X. Li, Method and System for Managing Supply Chain Networks. US Patent 8165928, 2012.
[18]
M. Walker Randy, and L. Gorman Bryan, Associative Tracking for Loosely-Coupled Supply Chain Networks. US Patent 2012254058, 2012.
[19]
S. Karuppasamy, Methods and systems for optimizing risks in supply chain networks. US Patent 2017213168, 2017.
[20]
Z.W. Birnbaum, On the importance of different components in a multi-component system., New York: Academic Press, 1969.
[21]
A. Mettas, "Reliability allocation and optimization for complex systems", In: Proceedings of Reliability and Maintainability Symposium vol. 30, pp. 216-221, 2000.
[22]
H. Huang, Z. Liu, and D.N.P. Murthy, "Optimal, reliability, warranty and price for new products", IIE Trans., vol. 39, pp. 819-827, 2007.
[23]
K.B. Öner, G.P. Kiesmüller, and G.J. van Houtum, "Optimization of component reliability in the design phase of capital goods", Eur. J. Oper. Res., vol. 205, pp. 615-624, 2010.


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Article Details

VOLUME: 12
ISSUE: 3
Year: 2019
Page: [218 - 223]
Pages: 6
DOI: 10.2174/2213275912666181129141033
Price: $58

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