Optimising Procurement Portfolios to Mitigate Risk in Supply Chains
Atilla Yalçin () and
Achim Koberstein ()
Additional contact information
Atilla Yalçin: University of Paderborn
Achim Koberstein: University of Paderborn
A chapter in Operations Research Proceedings 2010, 2011, pp 459-464 from Springer
Abstract:
Abstract In recent years the management of risk in supply chains has become an important issue in the scientific literature. This aspect is of primary interest in market side decisions of a company such as in the procurement of materials. So far, traditional supply chain planning methods solely focus on improving cost efficiency and reducing inventory buffers in supply chains. These approaches are successful as long as the assumption of a stable supply chain environment holds. But when risks on the demand side and on the supply side occur these approaches become contraproductive and make the supply chain more vulnerable. What is needed now are new concepts which improve the flexibility of supply chains even in uncertain environments. In this work we will investigate a mid-term procurement decision where the buyer has to agree with his suppliers on supply contracts while facing demand and supply risk. We assume that the buyer negotiates with multiple suppliers who can supply products with the same quality. The problem we are dealing with is how to design a portfolio of optimal supply contracts in a mid-term planning horizon (e.g. one year) by specifying minimum and maximum quantities of a product in a contract. The objective of our planning problem is to minimise the total expected cost of supply.
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:oprchp:978-3-642-20009-0_73
Ordering information: This item can be ordered from
http://www.springer.com/9783642200090
DOI: 10.1007/978-3-642-20009-0_73
Access Statistics for this chapter
More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().