Supply Chain Performance Evaluation With Rough Two-Stage Data Envelopment Analysis Model: Noncooperative Stackelberg Game Approach
暂无分享,去创建一个
[1] Xiao-fei Ma,et al. Evaluation of supply chain partnership based on rough set theory , 2010, 2010 IEEE 17Th International Conference on Industrial Engineering and Engineering Management.
[2] Joe Zhu,et al. Additive efficiency decomposition in two-stage DEA , 2009, Eur. J. Oper. Res..
[3] Iddrisu Awudu,et al. Uncertainties and sustainability concepts in biofuel supply chain management: A review , 2012 .
[4] Joe Zhu,et al. A bargaining game model for measuring performance of two-stage network structures , 2011, Eur. J. Oper. Res..
[5] Bin Li,et al. Rough data envelopment analysis and its application to supply chain performance evaluation , 2009 .
[6] David J. Murphy,et al. Purchasing performance evaluation: with data envelopment analysis , 2002 .
[7] Anthony D. Ross,et al. An integrated benchmarking approach to distribution center performance using DEA modeling , 2002 .
[8] He-Yau Kang,et al. A new supplier performance evaluation model: A case study of integrated circuit (IC) packaging companies , 2010, Kybernetes.
[9] C. Weber,et al. Determination of paths to vendor market efficiency using parallel coordinates representation: A negotiation tool for buyers , 1996 .
[10] Kuan Yew Wong,et al. Supply chain performance measurement system using DEA modeling , 2007, Ind. Manag. Data Syst..
[11] Jerzy W. Grzymala-Busse,et al. Rough Sets , 1995, Commun. ACM.
[12] Kin Keung Lai,et al. A Rough Set Approach on Supply Chain Dynamic Performance Measurement , 2008, KES-AMSTA.
[13] Magnus Tambour,et al. Productivity and customer satisfaction in Swedish pharmacies: A DEA network model , 1999, Eur. J. Oper. Res..
[14] M. Christopher. Logistics and supply chain management , 2011 .
[15] Walter Ukovich,et al. DEA-like models for the efficiency evaluation of hierarchically structured units , 2004, Eur. J. Oper. Res..
[16] Joe Zhu,et al. DEA models for two‐stage processes: Game approach and efficiency decomposition , 2008 .
[17] William W. Cooper,et al. Handbook on data envelopment analysis , 2011 .
[18] Josefa Mula,et al. Quantitative models for supply chain planning under uncertainty: a review , 2009 .
[19] Wenli Li,et al. Collaborative production planning of supply chain under price and demand uncertainty , 2011, Eur. J. Oper. Res..
[20] Ali Azadeh,et al. A flexible deterministic, stochastic and fuzzy Data Envelopment Analysis approach for supply chain risk and vendor selection problem: Simulation analysis , 2010, Expert Syst. Appl..
[21] R. Färe,et al. PRODUCTIVITY AND INTERMEDIATE PRODUCTS: A FRONTIER APPROACH , 1995 .
[22] Z. Pawlak. Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .
[23] Desheng Dash Wu,et al. Performance evaluation: An integrated method using data envelopment analysis and fuzzy preference relations , 2009, Eur. J. Oper. Res..
[24] Jian-Bo Yang,et al. Interval efficiency assessment using data envelopment analysis , 2005, Fuzzy Sets Syst..
[25] Srinivas Talluri,et al. Vendor Performance With Supply Risk: A Chance-Constrained DEA Approach , 2006 .
[26] Hiroshi Tsuji,et al. Data envelopment analysis for a supply chain , 2010, Artificial Life and Robotics.
[27] Rong Cao,et al. Application of Rough Set-SVM Model in the Performance Evaluation of Supply Chain , 2010, 2010 International Symposium on Intelligence Information Processing and Trusted Computing.
[28] David L. Olson,et al. A comparison of stochastic dominance and stochastic DEA for vendor evaluation , 2008 .
[29] Joe Zhu,et al. DEA models for supply chain efficiency evaluation , 2006, Ann. Oper. Res..
[30] Hong Yan,et al. Network DEA model for supply chain performance evaluation , 2011, Eur. J. Oper. Res..
[31] Greg N. Gregoriou,et al. Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets , 2008, The Journal of Wealth Management.
[32] Marvin D. Troutt,et al. Optimal throughput for multistage input-output processes , 2001 .