Universität zu Köln

Hilger, Timo, Sahling, Florian ORCID: 0000-0002-7631-3068 and Tempelmeier, Horst (2016). Capacitated dynamic production and remanufacturing planning under demand and return uncertainty. OR Spectrum, 38 (4). S. 849 - 877. NEW YORK: SPRINGER. ISSN 1436-6304

Full text not available from this repository.

Abstract

This paper considers a stochastic dynamic multi-product capacitated lot sizing problem with remanufacturing. Finished goods come from two sources: a standard production resource using virgin material and a remanufacturing resource that processes recoverable returns. Both the period demands and the inflow of returns are random. For this integrated stochastic production and remanufacturing problem, we propose a nonlinear model formulation that is approximated by sample averages and a piecewise linear approximation model. In the first approach, the expected values of random variables are replaced by sample averages. The idea of the piecewise linear approximation model is to replace the nonlinear functions with piecewise linear functions. The resulting mixed-integer linear programs are solved to create robust (re)manufacturing plans.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Hilger, Timo UNSPECIFIED UNSPECIFIED UNSPECIFIED Sahling, Florian UNSPECIFIED orcid.org/0000-0002-7631-3068 UNSPECIFIED Tempelmeier, Horst UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-260938
DOI:	10.1007/s00291-016-0441-3
Journal or Publication Title:	OR Spectrum
Volume:	38
Number:	4
Page Range:	S. 849 - 877
Date:	2016
Publisher:	SPRINGER
Place of Publication:	NEW YORK
ISSN:	1436-6304
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language LOT-SIZING PROBLEM; REVERSE LOGISTICS; MODELS; ALGORITHM; SEARCH Multiple languages Operations Research & Management Science Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/26093