An Extended Mixed-Integer Programming Formulation and Dynamic Cut Generation Approach for the Stochastic Lot-Sizing Problem-Reference-Cited by-同舟云学术

An Extended Mixed-Integer Programming Formulation and Dynamic Cut Generation Approach for the Stochastic Lot-Sizing Problem

Published:2018-08 Issue:3 Volume:30 Page:492-506
ISSN:1091-9856
Container-title:INFORMS Journal on Computing
language:en
Short-container-title:INFORMS Journal on Computing

Author:

Tunc Huseyin¹^ORCID,Kilic Onur A.²^ORCID,Tarim S. Armagan³^ORCID,Rossi Roberto⁴^ORCID

Affiliation:

1. Department of Policy and Strategy Studies, Hacettepe University, Ankara, Turkey

2. Department of Operations, University of Groningen, 9700 AV Groningen, Netherlands

3. Department of Management, Cankaya University, Ankara, 06800 Turkey; and Cork University Business School, University College Cork, T12 K8AF, Ireland

4. Business School, University of Edinburgh, Edinburgh EH8 9JS, United Kingdom

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

General Engineering

Reference23 articles.

1. Strategies for the Probabilistic Lot-Sizing Problem with Service-Level Constraints

2. An outer-approximation algorithm for a class of mixed-integer nonlinear programs

3. On the number of segments needed in a piecewise linear approximation

4. Optimal approximation of convex curves by functions which are piecewise linear

5. An investigation of setup instability in non-stationary stochastic inventory systems

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