Abstract
In recent years, the layout of industrial plants has been a much-discussed topic in the scientific literature. However, many of the optimisation models used to formulate the problem have been applied to hypothetical test instances by adopting simplifications of reality, which makes their application in the metal-mechanic industries difficult. In this context, the present article presents a set of five optimisation models that can constitute a reference framework for creating an optimisation model that applies to case studies in the metal-mechanic sector.
Original language | English |
---|---|
Title of host publication | Lecture Notes on Data Engineering and Communications Technologies |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 482-487 |
Number of pages | 6 |
DOIs | |
State | Published - 2023 |
Publication series
Name | Lecture Notes on Data Engineering and Communications Technologies |
---|---|
Volume | 160 |
ISSN (Print) | 2367-4512 |
ISSN (Electronic) | 2367-4520 |
Bibliographical note
Funding Information:The research leading to these results received funding from the Regional Department of Innovation, Universities, Science and Digital Society of the Generalitat Valenciana entitled “Industrial Production and Logistics Optimization in Industry 4.0” (i4OPT) (Ref. PROMETEO/2021/065)”, and from the European Union H2020 programs with grant agreements No. 825631 “Zero-Defect Manufacturing Platform (ZDMP)” and No. 958205 “Industrial Data Services for Quality Control in Smart Manufacturing (i4Q)”.
Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Dynamic layout
- Facility layout planning
- Metal-mechanic industry
- Multi-objective modelling
- Optimisation model