Iterated greedy algorithms for customer order scheduling with dedicated machines
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
The customer order scheduling problem has received much attention recently due to its relevance to real world applications. In this study, the minimization of the total completion time of customer orders is studied in a dedicated machine environment, i.e. each order consists of one job on each machine. Two iterated greedy algorithms are presented that make use of problem properties and apply a new local search as well as a new construction function. In a computational experiment, both algorithms outperform two state-of-the-art approaches and prove their suitability to solve the customer order scheduling problem with dedicated machines.
Details
Original language | English |
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Title of host publication | IFAC-PapersOnline |
Pages | 1594-1599 |
Number of pages | 6 |
Volume | 55 |
Edition | 10 |
Publication status | Published - 2022 |
Peer-reviewed | Yes |
Conference
Title | 10th IFAC Conference MIM 2022 on Manufacturing Modelling, Management and Control |
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Conference number | |
Duration | 22 - 24 June 2022 |
Degree of recognition | International event |
Location | |
City |
External IDs
Scopus | 85144506281 |
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ORCID | /0000-0003-4711-2184/work/142252516 |
ORCID | /0000-0003-0753-0517/work/142255247 |
Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Subject groups, research areas, subject areas according to Destatis
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- customer order scheduling, dedicated machines, manufacturing, metaheuristics, optimization