A Network-DEA Model with Internal Dynamic Effects

Chien-Ming Chen ()
Additional contact information
Chien-Ming Chen: Nanyang Technological University

Chapter Chapter 10 in Data Envelopment Analysis, 2014, pp 209-230 from Springer

Abstract: Abstract Modern production networks are comprised of a large collection of interrelated value-adding processes. Adding to this, the flow time of such a complex network can easily go from weeks to months, making time an influential factor in constructing efficient frontier for the network technology. Both the network structure and dynamics in the production environment stand in sharp contrast with the standard DEA model, which assumes that the internal process is a “black box” and that inputs and outputs are independent across time periods. In light of the above limitations, this chapter introduces an approach to computing the technical efficiency scores for a dynamic production network and its sub-processes.

Keywords: Network; Productive efficiency; Dynamic effects (search for similar items in EconPapers)
Date: 2014
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:978-1-4899-8068-7_10

Ordering information: This item can be ordered from
http://www.springer.com/9781489980687

DOI: 10.1007/978-1-4899-8068-7_10

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 ().