Development of Data Envelopment Analysis for the Performance Evaluation of Green Supply Chain with Undesirable Outputs

Document Type : Research Paper

Authors

1 Alghadir institute of higher education, Tabriz, Iran

2 Faculty of Industrial and Mechanical Engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran

Abstract

A fundamental problem is the use of DEA in multistep or multilevel processes such as supply chain, lack of attention to processes’ internal communications in a way that the recent studies on DEA in the context of serial processes have focused on closed systems that the outputs of one level become the inputs of the next level and none of the inputs enter the mediator process. The present study aimed to examine the general dimensions of an open multilevel process. Here, some of the data such as inputs and outputs are supposed to leave the system while other outputs turn into the inputs of the next level. The new inputs can enter the next level as well. We expand this mode for network structures. The overall performance of such a structure is considered as a weighted average of sectors’ performance or distinct steps. Therefore, this suggested model in this study, not only provides the possibility to evaluate the performance of the entire network, but creates the performance analysis for each of the sub-processes. On the other hand, considering the data with undesirable structure leads to more correct performance estimation. In the real world, all productive processes do not comprise desirable factors. Therefore, presenting a structure that is capable of taking into account the undesirable structure is of crucial importance. In this study, a new model in the DEA by network structure is offered that can analyze the performance considering undesirable factors.

Keywords

Main Subjects

References

Ahi, P., Searcy, C. (2013). An analysis of metrics used to measure performance in green a sustainable supply chains, Journal of Cleaner Production, Vol. 86, pp. 360-377.
Ashish, J. D., & Hari, V. (2014). Emerging supplier selection criteria in the context of traditional versus green supply chain management. International Journal of Managing Value and Supply Chains, Vol. 5 (1), pp. 267-289.
Azadi, M., Shabani, A., Khodakarami, M., Farzipoor Saen, R. (2014). Planning in feasible region by two-stage target-setting DEA methods: An application in green supply chain management of public transportation service providers, Transportation Research, Vol. 70, pp. 324–338.
Barros, C., Wanke, P. (2013). Two -stage DEA: An application to major Brazilian banks, Expert Systems with Applications, Vol. 41, pp. 2337–2344.
Charnes, A.C., Cooper, W.W., Rhodes, E.L. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, Vol. 2, pp. 429–444.
Cooper, W.W., Seiford, L.M., Zhu, J. (2004). Data envelopment analysis: History, models and interpretations. In: Cooper, W.W., Seiford, L.M., Zhu, J. (Eds.), Handbook on Data Envelopment Analysis. Kluwer Academic Publishers, Boston, pp. 1–39 (Chapter 1).
Castelli, L., Pesenti, R., Ukovich, W. (2004). DEA-like models for the efficiency evaluation of hierarchically structured units, European Journal of Operational Research, Vol. 154 (2), pp. 465–476.
Cosimato, S. and Troisi, O. (2015). Green supply chain management practices and tools for logistics competitiveness and sustainability: the DHL case study. The TQM Journal, Vol. 27(2), pp. 256–276.
Fare, R., Grosskopf S. (2000). Network DEA, Socio Economic Planning Sciences, Vol. 34, pp. 35-49.
Chen, Y., Cook, W.D., Zho, J. (2009). Additive efficiency decomposition in two-stage DEA, European Journal of Operational Research, Vol. 196, pp. 1170-1176.
Chen, Y., Zhu, J. (2004). Measuring information technology’s indirect impact on firm performance, Information Technology and Management Journal, Vol. 5 (1–2), pp. 9–22.
Halkos, G., Tzeremes, N. (2013). An additive two-stage DEA approach creating sustainability efficiency indexes, MPRA Paper, Vol. 60, pp. 44231-44236.
Hung, S.W., Lu, W.M., Wang, T.P. (2010). Benchmarking the operating efficiency of Asia container ports, European Journal of Operational Research, Vol. 203, pp. 706–713.
Kao, C., Hwang, S.N. (2008). Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan, European Journal of Operational Research, Vol. 185 (1), pp. 418–429.
Liang, L., Yang F. D., Cook, W., Zhu, J. (2006). DEA models for supply chain efficiency evaluation, European Journal of Operational Research, Vol. 21, pp. 21–22.
Li, Q., Zeng, B., Savachkin, A. (2013). Reliable facility location design under disruptions. Computers & Operations Research, Vol. 40(4), pp. 901-909.
Maghbouli, M., Amirteimoori, A., Kordrostami, S. (2014). Two-stage network structures with undesirable outputs: A DEA based approach, Measurement, Vol. 48, pp. 109–118.
Mirhedayatian, S.M., Azadi M., Farzipoor Saen, R. (2013). A novel network data envelopment analysis model for evaluating green supply chain management, Production Economics, Vol. 147 ,pp. 544– 554.
Mor, R. S., Singh, S., Bhardwaj, A., Singh L. P. (2015). Technological Implications of Supply Chain Practices in Agri-Food: Sector- A Review, International Journal of Supply and Operations Management, Vol. 2(2), pp. 720-747.
Nazam, M. , Xu, J., Tao, Z., Ahmad, J., & Hashim, M. (2015). A fuzzy AHP-TOPSIS framework for the risk assessment of green supply chain implementation in the textile industry, International Journal of Supply and Operations Management, Vol. 2 (1), pp. 548-568.
Qianlei, L. (2012). The study on the risk management of agricultural products green supply chain based on systematic analysis. In: Business Computing and Global Informatization (BCGIN), Second International Conference, pp. 250-253.
Ruimin, M., Yao, L., & Huang, R. (2012). The green supply chain management risk analysis. Advanced Materials Research, pp. 734–739.
Seiford, L.M., Zhu, J. (1999). Profitability and marketability of the top 55 US commercial banks, Management Science, Vol. 45 (9), pp. 1270–1288.
Sexton, T.R., Lewis, H.F. (2003). Two-stage DEA: An application to major league baseball, Journal of Productivity Analysis, Vol. 19(2–3), pp. 227–249.
Sheth, C., Triantis, K., Teodorovic, D. (2007). Performance evaluation of bus routes: A provider and passenger perspective, Transportation Research, Part E, Vol. 43, pp. 453–478.
Srivastava, S. K. (2007).Green supply chain management, European Journal of Operational Research, Vol. 31, pp. 20–23.
Pina, V., Torres, L. (2001). Analysis of the efficiency of local government services delivery: An application to urban public transport, Transportation Research, Part A, Vol. 35, pp. 929–944.
Wanke, P., Chen, Y. (2010). Efficiency measurement for network systems, European Journal of Operational Research, Vol. 31, pp. 20–23.
Zhu, J., Liang, L. (2010). Two-stage network structures with undesirable outputs, Journal of Cleaner Production, Vol. 122, pp. 15-19.
Zhu, J. (2011). Airlines Performance via Two-Stage Network DEA Approach, Journal of Centrum Cathedra, Vol. 30, pp. 321-322.
International Journal of Supply and Operations Management
Volume 3, Issue 2 - Serial Number 2
August 2016
Pages 1267-1283

Files

Share

How to cite

Statistics