Process planning and scheduling optimisation with alternative recipes
Author:
Affiliation:
1. Department of Computer Science , Univ. of York , Deramore Lane, Heslington , York , UK
2. Institut fur Angewandte Systemtechnik Bremen GmbH , Wiener Strasse 1 , Bremen , Germany
3. OAS AG , Caroline-Herschel-Strasse 1 , Bremen , Germany
Abstract
Funder
Horizon 2020 Framework Programme
Publisher
Walter de Gruyter GmbH
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
https://www.degruyter.com/document/doi/10.1515/auto-2019-0104/pdf
Reference14 articles.
1. Chaudhry Imran Ali and Khan Abid Ali. A research survey: review of flexible job shop scheduling techniques. Int. Transactions in Operational Research, 23(3):551–591, 2015.
2. Kamal Muhammad Amjad et al. Recent research trends in genetic algorithm based flexible job shop scheduling problems. Mathematical Problems in Engineering, pages 1–32, 2018.
3. Piotr Dziurzanski, Jerry Swan, Leandro Soares Indrusiak and Jose Ramos. Implementing digital twins of smart factories with interval algebra. In IEEE International Conference on Industrial Technology, ICIT, 2019.
4. Piotr Dziurzanski, Shuai Zhao, Jerry Swan, Leandro Soares Indrusiak, Sebastian Scholze and Karl Krone. Solving the multi-objective flexible job-shop scheduling problem with alternative recipes for a chemical production process. In Applications of Evolutionary Computation, pages 33–48. Springer International Publishing, 2019.
5. Michael R. Garey and David S. Johnson. Computers and Intractability; A Guide to the Theory of NP-Completeness. W. H. Freeman & Co., New York, NY, USA, 1990.
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