Bilevel programming approaches to production planning for multiple products with short life cycles
Author(s) -
Xide Zhu,
Peijun Guo
Publication year - 2019
Publication title -
4or
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.573
H-Index - 41
eISSN - 1619-4500
pISSN - 1614-2411
DOI - 10.1007/s10288-019-00407-z
Subject(s) - bilevel optimization , production (economics) , mathematical optimization , computer science , operator (biology) , production planning , operations research , optimization problem , mathematics , economics , biochemistry , chemistry , repressor , gene , transcription factor , macroeconomics
We provide decision-making models for a manufacturer which plans to produce multiple short life cycle products with the one-shot decision theory. The obtained optimal production quantities are based on the most appropriate scenarios for the manufacturer. Since the models are the bilevel programming problems with the max–min or min–max operator in the lower levels, we propose two approaches to translate them into general single-level optimization problems such that they can be solved via the commonly used optimization methods. The effectiveness of our approaches is examined from the theoretical and computational aspects.
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