Username   Password       Forgot your password?  Forgot your username? 

 

Evaluation of Construction Supply Chain using Preference Restraint Cone DEA Model

Volume 14, Number 7, July 2018, pp. 1609-1617
DOI: 10.23940/ijpe.18.07.p25.16091617

Shi Li

Department of Construction Engineering, Yulin University, Yulin, 719000, China

(Submitted on March 30, 2018; Revised on April 26, 2018; Accepted on June 16, 2018)

Abstract:

The internal pressure and external incentive of construction area contributed to the study of supply chain management, construction calls for the construction supply chain management’s (CSC) research and practice. Combining with features of Data Envelope Analysis (DEA) and CSC, the basic framework of CSC comprehensive performance evaluation was built from the aspect of consumption and output. Under such framework, the indicator system for comprehensive evaluation was also constructed. Because traditional methods of DEA do not consider the impact of preferences of the input and output indicators for decision makers, an improved preference restraint cone DEA model was presented; an example was given for analysis. The results show that the DEA with the preferred model omissions the pseudo-effective construction supply chain and reflects the subjective preferences of decision makers. It is an improvement from past research of the model.

 

References: 17

          1. Akintola Akintoye, George McIntosh, Eamon Fitzgerald, “A survey of supply chain collaboration and management in the UK construction industry,” European Journal of Purchasing & Supply Management, Vol. 6, No. 3–4, pp. 159-168, Dec.2000.
          2. Geoffrey Briscoe, Andrew R.J Dainty, Sarah Millett, “Construction supply chain partnerships: skills, knowledge and attitudinal requirements,” European Journal of Purchasing & Supply Management, Vol. 7, No. 4, pp. 243-255, Dec. 2001.
          3. R. Barker, S. Hong-Minh, M.M. Naim, “The terrain scanning methodology, Assessing and improving construction supply chains,” European Journal of Purchasing & Supply Management, Vol. 6, No. 3–4, pp. 179-193, Dec. 2000.
          4. U.S Bititci, P Suwignjo, A.S Carrie, “Strategy management through quantitative modelling of performance measurement systems,” International Journal of Production Economics, Vol. 69, No. 1, pp. 15-22, Jan. 2001.
          5. Wei-da He and Kai Zhang, “The construction of industrial safety evaluation index system under the background of globalization,” in Proc. 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), Dengleng, 2011, pp. 2491-2494.
          6. Tu Y, Lin Y, Wang J, et al, “Semi-Supervised Learning with Generative Adversarial Networks on Digital Signal Modulation Classification,” CMC-Computers Materials & Continua, Vol. 55, No. 2 pp. 243-254, 2018.
          7. W. Q. Liang, K. H. Gui, Z. P. Fei, B. Y. Hong and C. Dong, “Study on evaluation for green construction supply chain,” in Proc. 2011 International Conference on Electronics, Communications and Control (ICECC), Zhejiang, 2011, pp. 3930-3933.
          8. Zhiqiang Liu, Caiyun Guo, “Study on the risks management of construction supply chain,” in Proc. 2009 IEEE/INFORMS International Conference on Service Operations, Logistics and Informatics, Chicago, IL, 2009, pp. 629-632.
          9. George Ofori, “Greening the construction supply chain in Singapore,” European Journal of Purchasing & Supply Management, Vol. 6, No. 3–4, pp.195-206, Dec. 2000.
          10. David G Proverbs, Gary D Holt, “Reducing construction costs: European best practice supply chain implications,” European Journal of Purchasing & Supply Management, Vol. 6, No. 3–4, pp. 149-158, Dec. 2000
          11. Ekambaram Palaneeswaran, Mohan Kumaraswamy, Motiar Rahman, Thomas Ng, “Curing congenital construction industry disorders through relationally integrated supply chains,” Building and Environment, Vol. 38, No. 4, pp. 571-582, April. 2003.
          12. Mohammed Saad, Martyn Jones, Peter James, “A review of the progress towards the adoption of supply chain management (SCM) relationships in construction,” European Journal of Purchasing & Supply Management, Vol. 8, No. 3, pp. 173-183, Sept. 2002.
          13. D. T. C. Wang, L. F. Ochoa and G. P. Harrison, “Modified GA and Data Envelopment Analysis for Multistage Distribution Network Expansion Planning Under Uncertainty,” IEEE Transactions on Power Systems, vol. 26, no. 2, pp. 897-904, May 2011.
          14. K.T Yeo, J.H Ning, “Integrating supply chain and critical chain concepts in engineer-procure-construct (EPC) projects,” International Journal of Project Management, Vol. 20, No. 4, pp. 253-262, May 2002.
          15. Lummus Rhonda R, Vokurka Robert J, Alber Karen L, “Strategic supply chain planning,” Production and Inventory Management Journal, Vol. 39, No. 3, pp. 49-58, 1998.
          16. Tao Xu, Zhihong Liu, Sheng Wang and Lei Liu, “Study and practice on the construction of demonstration area on power supply's high-reliability in Chongqing,” in Proc. 2012 China International Conference on Electricity Distribution, Shanghai, 2012, pp. 1-4.
          17. J. Yang, “On the construction and implementation methods for performance measurement of reverse supply chain,” in Proc. 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery, Yantai, Shandong, 2010, pp. 899-903.

                   

                  Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

                  Attachments:
                  Download this file (25-IJPE-2018-07-25.pdf)IJPE-2018-07-25[Evaluation of Construction Supply Chain using Preference Restraint Cone DEA Model]466 Kb
                   
                  This site uses encryption for transmitting your passwords. ratmilwebsolutions.com