Scheduling comparison between multi-objective mathematical models and genetic algorithms approach in the textile industry
Year of publication: |
2016
|
---|---|
Authors: | Celikbilek, Can ; Tunacan, Tugba ; Süer, Gürsel A. ; Dulkadir, Omer |
Published in: |
International journal of services and operations management. - Olney : Inderscience, ISSN 1744-2370, ZDB-ID 2186492-5. - Vol. 25.2016, 2, p. 236-258
|
Subject: | single objective model | multi-objective models | genetic algorithms | textile manufacturing | scheduling | mixed integer programming model | Textilindustrie | Textile industry | Evolutionärer Algorithmus | Evolutionary algorithm | Scheduling-Verfahren | Scheduling problem | Mathematische Optimierung | Mathematical programming | Theorie | Theory | Ganzzahlige Optimierung | Integer programming | Multikriterielle Entscheidungsanalyse | Multi-criteria analysis |
-
A metaheuristic method for solving an emergency problem
Makboul, Salma, (2022)
-
Novel multi-objective resource allocation and activity scheduling for fourth party logistics
Liu, Qiong, (2014)
-
A hybrid modified-NSGA-II VNS algorithm for the Multi-Objective Critical Disruption Path Problem
Granata, Donatella, (2023)
- More ...
-
Supply chain design approaches for dual demand management strategies
Celikbilek, Can, (2016)
-
Hening, Dyah Ariningtyas, (2016)
-
Cellular design-based optimisation for manufacturing scheduling and transportation mode decisions
Celikbilek, Can, (2015)
- More ...