Solving the Capacitated Lot Sizing Problem With Setup Carryover Using a New Sequential Hybrid Approach
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Date
2015
Authors
Tunali, Semra
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
The aim of lot sizing problems is to determine the periods where production takes place and the quantities to be produced in order to satisfy the customer demand while minimizing the total cost. Due to its importance on the efficiency of the production and inventory systems, lot sizing problems are one of the most challenging production planning problems and have been studied for many years with different modelling features. Among these problems, the capacitated lot sizing problem (CLSP) has received a lot of attention from researchers. Having motivated from our earlier study, this study proposes a new hybrid approach for solving the CLSP with the extension of setup carryover. Moreover, the initialization scheme proposed in the earlier study has also been investigated comprehensively. Lastly, an experimental study evaluating the solution quality of the proposed approach is carried out using various problem instances and promising results are obtained when compared to the recent results in the literature.
Description
ORCID
Keywords
Production planning, Lot sizing, Setup carryover, Sequential hybrid approach, Genetic algorithms, Fix-and-optimize heuristic, Algorithms, Setup carryovers, Production control, Customer satisfaction, Production planning, Genetic algorithms, 650, Hybrid approach, 620, Planning, Fix-and-optimize heuristic, Lot sizing, Setup carryover, Production Planning, Heuristic algorithms, Sequential hybrid approach
Fields of Science
0211 other engineering and technologies, 02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering
Citation
WoS Q
Q2
Scopus Q
Q1

OpenCitations Citation Count
10
Source
Applıed Intellıgence
Volume
42
Issue
4
Start Page
805
End Page
816
PlumX Metrics
Citations
CrossRef : 2
Scopus : 11
Captures
Mendeley Readers : 23
SCOPUS™ Citations
11
checked on Feb 23, 2026
Web of Science™ Citations
12
checked on Feb 23, 2026
Page Views
1
checked on Feb 23, 2026
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