Neighborhood Systems for Production Sets with Indivisibilities
Herbert E. Scarf
Additional contact information
Herbert E. Scarf: Yale University
Chapter 5 in Herbert Scarf’s Contributions to Economics, Game Theory and Operations Research, 2008, pp 105-130 from Palgrave Macmillan
Abstract:
Abstract A production set with indivisibilities is described by an activity analysis matrix with activity levels which can assume arbitrary integral values. A neighborhood system is an association with each integral vector of activity levels of a finite set of neighboring vectors. The neighborhood relation is assumed to be symmetric and translation invariant. Each such neighborhood system can be used to define a local maximum for the associated integer programs obtained by selecting a single commodity whose level is to be maximized subject to specified factor endowments of the remaining commodities. It is shown that each technology matrix (subject to mild regularity assumptions) has a unique, minimal neighborhood system for which a local maximum is global. The complexity of such minimal neighborhood systems is examined for several examples.
Keywords: Lattice Point; Integer Program; Large Firm; Knapsack Problem; Transportation Problem (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Journal Article: Neighborhood Systems for Production Sets with Indivisibilities (1986) 
Working Paper: Neighborhood Systems for Production Sets with Indivisibilities (1984) 
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:pal:palchp:978-1-137-02441-1_5
Ordering information: This item can be ordered from
http://www.palgrave.com/9781137024411
DOI: 10.1057/9781137024411_5
Access Statistics for this chapter
More chapters in Palgrave Macmillan Books from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().