EconPapers    
Economics at your fingertips  
 

Modeling DMU’s Internal Structures: Cooperative and Noncooperative Approaches

Wade D. Cook (), Liang Liang () and Joe Zhu ()
Additional contact information
Wade D. Cook: York University
Liang Liang: University of Science and Technology of China
Joe Zhu: Worcester Polytechnic Institute

Chapter Chapter 12 in Handbook on Data Envelopment Analysis, 2011, pp 297-313 from Springer

Abstract: Abstract An important area of development in recent years in data envelopment analysis has been the applications wherein internal structures of DMUs are considered. For example, DMUs may consist of subunits or represent two-stage processes. One particular subset of such processes is those in which all the outputs from the first stage are the only inputs to the second stage. This chapter first reviews these models and discusses relations among various approaches. Our focus here is the approaches based upon either Stackelberg (leader–follower) or cooperative game concepts. We then examine the more general problem of an open multistage process where some outputs from a given stage may leave the system while others become inputs to the next stage. As well, new inputs can enter at any stage. We then discuss the modeling of this more general network structure.

Keywords: Data envelopment analysis; Efficiency; Game; Intermediate measure; Cooperative; Two-stage (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4419-6151-8_12

Ordering information: This item can be ordered from
http://www.springer.com/9781441961518

DOI: 10.1007/978-1-4419-6151-8_12

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isochp:978-1-4419-6151-8_12