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Hybrid Heuristics for the Multi-stage Capacitated Lot Sizing and Loading Problem

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Date
1999-08
Author
Linet, Özdamar
Type
Article
Language
en_US
Metadata
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Abstract
The multi-stage capacitated lot sizing and loading problem (MCLSLP) deals with the issue of determining the lot sizes of product items in serially-arranged manufacturing stages and loading them on parallel facilities in each stage to satisfy dynamic demand over a given planning horizon. It is assumed that regular time capacity decisions have already been made in the tactical level and allocated to the stages, but it is still an important decision problem whether to augment regular time capacity by overtime capacity. Each item may be processed on a technologically feasible subset of existing facilities with different process and setup times on each facility. Since the solution of the MCLSLP requires the design of a powerful algorithm, simulated annealing (SA) and genetic algorithms (GA) are integrated to enhance their individual performances. Furthermore, these global optimisation methods are incorporated into a Lagrangean relaxation scheme, hence creating a hybrid solution methodology. Numerical results obtained using these methods confirm the mutual benefits of integrating different solution techniques.
Subject
Heuristics
Simulated Annealing
Genetic Algorithms
Lagrangean Relaxation
Multi-stage Lot Sizing
Sezgiseller
Isıl İşlem
Genetik Algoritmalar
Lagrange Rahatlama
Çok Aşamalı Parti Büyüklüğü
URI
http://hdl.handle.net/11413/809
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  • Makaleler / Articles [86]

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İstanbul Kültür University

Hakkında |Politika | Kütüphane | İletişim | Send Feedback | Admin

Istanbul Kültür University, Ataköy Campus E5 Karayolu Üzeri Bakırköy 34158, İstanbul / TURKEY
Copyright © İstanbul Kültür University

Creative Commons Lisansı
IKU Institutional Repository, Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.

Designed by  UNIREPOS