Cost Vs. Customer Service Level in Supply Chains Under Major Disruptions
Tadeusz Sawik
A chapter in LISS 2014, 2015, pp 1269-1274 from Springer
Abstract:
Abstract This paper presents a bi-objective stochastic optimization problem of supplier selection and customer orders scheduling in the presence of major disruption risks. The supplies are subject to independent random local disruptions of each supplier individually and regional disruptions of all suppliers in the same geographic region simultaneously. Given a set of customer orders for products, the decision maker allocates the demand for parts among certified suppliers and schedules the orders over the planning horizon, to optimize expected cost and expected customer service level. The obtained combinatorial stochastic optimization problem is formulated as a mixed integer program with weighted-sum aggregation of the two conflicting objective functions. Numerical examples and some computational results are presented.
Keywords: Supplier selection; Customer order scheduling; Stochastic mixed integer programming (search for similar items in EconPapers)
Date: 2015
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:sprchp:978-3-662-43871-8_184
Ordering information: This item can be ordered from
http://www.springer.com/9783662438718
DOI: 10.1007/978-3-662-43871-8_184
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().