Journals / Yaşar Üniversitesi E-Dergisi / 2017 / Cilt: 12 - Sayı: 45

A Hyperheuristic Approach for Dynamic Multilevel Capacitated Lot Sizing with Linked Lot Sizes for APS implementations

Pages
1–13
Publication Date
2017-02-22
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

New model is demonstrated by solving moderate size test problem along with software developed.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study is concerned with solving real-life sized APS problems practically.
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Key Findings & Data:Specifically, the problem of Multilevel Capacitated Lot Sizing Problem with linked lot sizes (MLCLSP-L) is considered.
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Conclusion & Impact:New model is demonstrated by solving moderate size test problem along with software developed.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

This study is concerned with solving real-life sized APS problems practically. Specifically, the problem of Multilevel Capacitated Lot Sizing Problem with linked lot sizes (MLCLSP-L) is considered. The problem is a classical, practical and notoriously hard problem. We propose a new modeling technique for MLCLSP-L based on a GA-driven hyperheuristic, which enables modeling of some issues previously not modeled. Proposed model uses an indirect representation by allowing GA search through a space of low level heuristics. Each one of the low level heuristics is simple and determines the detailed production plan of a machine in a period. The solution is constructed through combination of these low level heuristics. New model is demonstrated by solving moderate size test problem along with software developed.

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Cite This Article

GÖKÇE, M. A., BEYGO, B., EKMEKÇİ, T. (2017). A Hyperheuristic Approach for Dynamic Multilevel Capacitated Lot Sizing with Linked Lot Sizes for APS implementations. Yaşar Üniversitesi E-Dergisi, Cilt: 12 - Sayı: 45, 1–13. https://ajindex.com/articles/193827

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