A random-key encoded harmony search approach for energy-efficient production scheduling with shared resources

Thumbnail Image
Files
Carlos_RandomKeys_EngineeringOptimization_2014.pdf (330.95 KB)
Identifiers
DOI: 10.1080/0305215X.2014.971778
Publication date
2015-11-02
Authors
Advisors
Journal Title
Journal ISSN
Volume Title
Publisher
Citations
Google Scholar
Export
Research Projects
Organizational Units
Journal Issue
Abstract
When seeking near-optimal solutions for complex scheduling problems, meta-heuristics demonstrate good performance with affordable computational effort. This has resulted in a gravitation towards these approaches when researching industrial use-cases such as energy-efficient production planning. However, much of the previous research makes assumptions about softer constraints that affect planning strategies and about how human planners interact with the algorithm in a live production environment. This article describes a job-shop problem that focuses on minimizing energy consumption across a production facility of shared resources. The application scenario is based on real facilities made available by the Irish Center for Manufacturing Research. The formulated problem is tackled via harmony search heuristics with random keys encoding. Simulation results are compared to a genetic algorithm, a simulated annealing approach and a first-come-first-served scheduling. The superior performance obtained by the proposed scheduler paves the way towards its practical implementation over industrial production chains.
Description
Publisher Copyright: © 2014 Taylor & Francis.
Keywords
random keys , energy efficiency , harmony search , production scheduling , random keys , energy efficiency , harmony search , production scheduling , Computer Science Applications , Control and Optimization , Management Science and Operations Research , Industrial and Manufacturing Engineering , Applied Mathematics , SDG 7 - Affordable and Clean Energy , SDG 9 - Industry, Innovation, and Infrastructure , Project ID , info:eu-repo/grantAgreement/EC/FP7/260111/EU/Knowledge, Awareness and Prediction of Man, Machine, Material and Method in Manufacturing/KAP , info:eu-repo/grantAgreement/EC/FP7/260111/EU/Knowledge, Awareness and Prediction of Man, Machine, Material and Method in Manufacturing/KAP , Funding Info , European Unión, FP7 , European Unión, FP7
Type
journal article
Citation
Garcia-Santiago , C A , Del Ser , J , Upton , C , Quilligan , F , Gil-Lopez , S & Salcedo-Sanz , S 2015 , ' A random-key encoded harmony search approach for energy-efficient production scheduling with shared resources ' , unknown , vol. unknown , no. 11 , pp. 1481-1496 . https://doi.org/10.1080/0305215X.2014.971778