This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Quantitative Analysis of Multi-Periodic Supply Chain Contracts with Options via Stochastic Programming

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Van Delft, Ch.
Vial, J-Ph.
Abstract

We propose a stochastic programming approach for quantitative analysis of supply contracts, involving flexibility, between a buyer and a supplier, in a supply chain framework.

Download Info
To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Publisher Info
Paper provided by Ecole des Hautes Etudes Commerciales, Universite de Geneve- in its series Papers with number 2001.05.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 31 pages
Date of creation: 2001
Date of revision:
Handle: RePEc:fth:ehecge:2001.05

Contact details of provider:
Postal: Suisse; Ecole des Hautes Etudes Commerciales, Universite de Geneve, faculte des SES. 102 Bb. Carl-Vogt CH - 1211 Geneve 4, Suisse
Web page: http://www.hec.unige.ch/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Thomas Krichel).

Related research
Keywords: PRODUCERS ; ECONOMIC MODELS ; CONTRACTS;

Find related papers by JEL classification:
C61 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Optimization Techniques; Programming Models; Dynamic Analysis
C60 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - General

Statistics
Access and download statistics

Did you know? LogEc provides statistical analysis about downloads from this service (and others).

This page was last updated on 2009-12-16.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.