Article, 2023

Control system architecture for matrix-structured manufacturing systems

Computers in Industry, ISSN 0166-3615, 1872-6194, Volume 146, Page 103851, 10.1016/j.compind.2023.103851

Contributors

Nielsen, Christian Petersson 0000-0001-7814-8118 (Corresponding author) [1] Avhad, Akshay 0000-0002-9358-9912 [2] Schou, Casper 0000-0001-7831-311X [2] Da Silva, Elias Hans Dener Ribeiro 0000-0002-6608-0993 [1]

Affiliations

  1. [1] University of Southern Denmark
  2. [NORA names: SDU University of Southern Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Aalborg University
  4. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

Mass customization has in recent years required the manufacturing companies to become more flexible, while sustaining a high production throughput. To address this challenge, Matrix-Structured Manufacturing Systems (MMS) enable high levels of flexibility, scalability, and redundancy. However, current control system architectures do not sufficiently leverage these aspects that MMS enable, resulting in less efficient manufacturing systems. This paper therefore proposes a control system architecture for MMS, designed to leverage these benefits and increase the performance of this manufacturing system. To verify and validate the proposed control system architecture, a company case study with a Danish industrial automation company is presented, yielding potential performance increase and improved flexibility.

Keywords

architecture, automation companies, benefits, case study, companies, company case studies, control, control system architecture, customers, efficient manufacturing system, flexibility, improved flexibility, increase, level of flexibility, levels, manufacturing, manufacturing companies, manufacturing systems, mass customization, performance, performance increase, potential performance increase, production, production throughput, redundancy, scalability, study, system, system architecture, throughput, years

Data Provider: Digital Science