Evaluating the efficiency of 3PL logistics operations

International Journal of Production Economics

Volumn 113, Issue 1, 2008, Pages 235-244

  Hamdan, Amer ^a  

^a Jamie) Rogers K J   (United States)

Author keywords

3PL; DEA; Logistics performance; Warehousing

Indexed keywords

CONSTRAINT THEORY; DATA WAREHOUSES; DECISION MAKING; VALUE ENGINEERING;

LOGISTICS PERFORMANCES; RELATIVE EFFICIENCY; THIRD PARTY LOGISTICS; WAREHOUSING FUNCTIONS; WEIGHT RESTRICTIONS;

OPERATIONS RESEARCH;

EID: 41549119336     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2007.05.019     Document Type: Article

References (20)

1. Allen R., Athanassoupoulos A., Dyson R.G., and Thanassoulis E. Weight restrictions and value judgment in data envelopment analysis: Evolution, development, and future directions. Annals of Operations Research 73 (1997) 13-34
2. Bowlin W.F. Measuring performance: An introduction to data envelopment analysis (DEA). Journal of Cost Analysis (1998) 3-27
3. Chaparro F., Jimenez J., and Smith P. On the role of weight restrictions in data envelopment analysis. Journal of Productivity Analysis 8 (1997) 215-230
4. Charnes A., Cooper W., and Rhodes E. Measuring the efficiency of decision making units. European Journal of Operations Research 2 (1978) 429-444
5. Cooper W.W., Seiford L.M., and Tone L. Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References, and DEA Solver Software (2000), Kluwer Academic Publisher, Dordrecht
6. Ferrell M.J. The measurement of technical efficiency. Journal of the Royal Statistical Society Series A, General 120 Part 3 (1957) 253-281
7. Golany B. A note on including ordinal relations among multipliers in data envelopment analysis. Management Science 34 8 (1988) 1029-1033
8. Hackman S.T., Frazelle E.H., Griffin P.M., Griffin S., and Vlasta D.A. Benchmarking warehousing and distribution operations: Input-output approach. Journal of Productivity Analysis 16 (2001) 79-100
9. Hamdan, A., Rogers, K.J., 2004. Establishing and tracking performance measures for warehouse logistics operations. In: IERC Conference.
10. Hollingsworth, B. K., 1995. A warehouse benchmarking model utilizing frontier production functions. Ph.D. Dissertation, Georgia Institute of Technology.
11. Keebler J.S., and Durtsche D.A. Logistics performance measurement and the 3PL value proposition. Logistics Quarterly 7 2 (2001)
12. McGinnis L.F., Chen W.C., Griffin P., Sharp G., Govindaraj T., and Bodner D. Benchmarking Warehouse Performance: Initial Results for Internet-based Data Envelopment Analysis for Warehousing (iDEAs-W 1.0) (2002), Georgia Institute of Technology, Atlanta, GA
13. McGinnis, L.F, Chen, W.C., Griffin, P., Sharp, G., Govindaraj, T., 2005. 〈http://factory.isye.gatech.edu/industry/brochures/iDEAs.pdf〉.
14. Ray C.S. Data Envelopment Analysis: Theory and Techniques for Economics and Operations Research (2004), Cambridge University Press, Cambridge
15. Sarkis J. Evaluating flexible manufacturing systems alternatives using data envelopment analysis. Engineering Economist 43 1 (1997) 25-48
16. Sarkis J. A comparative analysis of DEA as a discrete alternative multiple criteria decision tool. European Journal of Operational Research 123 3 (2000) 108-122
17. Schefczyk M. Industrial benchmarking: A case study of performance analysis techniques. International Journal of Production Economics 32 (1993) 1-11
18. Thanassoulis E. Introduction to the Theory and Application of Data Envelopment Analysis: A Foundation Text with Integrated Software (2001), Kluwer Academic Publishers, Dordrecht
19. Thanassoulis E., and Dyson R.G. Reducing weight flexibility in data envelopment analysis. The Journal of the Operational Research Society 39 6 (1988) 563-576
20. Thompson R.G., Singleton F., Thrall R., and Smith B. Comparative site evaluation for locating a high-energy physics lab in Texas. Interfaces 16 (1986) 35-49