A multi-product job shop scenario utilising Model Predictive Control

Autor(es)

Sprodowski, Tobias ^{[1, 2]} ; Sagawa, Juliana Keiko ^[3] ; Maluf, Arthur Sarro ^[3] ; Freitag, Michael ^{[1, 2]} ; Pannek, Jurgen ^{[1, 2]}

Afiliação do(s) autor(es)

^[1] Univ Bremen, Fac Prod Engn, Badgasteiner Str 1, D-28359 Bremen - Germany

^[2] Univ Bremen, BIBA Bremer Inst Prod & Logist GmbH, Hsch Ring 20, D-28359 Bremen - Germany

^[3] Univ Fed Sao Carlos, Dept Prod Engn, Rod Washington Luis Km 235, BR-13565905 Sao Carlos, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: EXPERT SYSTEMS WITH APPLICATIONS; v. 162, DEC 30 2020.
• Citações Web of Science: 0

Resumo

Multi-product manufacturing scenarios today have to face many challenges considering external factors such as availability of resources or attending product demands and internal factors such as adjustment of buffer levels or utilisation of workstations. In this paper, a multi-product job shop consisting of workstations coupled by an unidirectional material flow with different production routings is considered. The existing model based on the bond graph technique is adapted to an optimal control problem, allowing the applicability of the Model Predictive Control scheme. Concerning performance criteria, two different objective functions are defined: the first aims for predefined processing frequencies of the workstations and the second one takes into account product demands. Both approaches were examined in simulations showing that a steady state is achieved in terms of stable buffer levels and processing frequencies. (C) 2020 Elsevier Ltd. All rights reserved. (AU)

• Processo FAPESP: 19/12023-1 - Modelos dinâmicos para controle de sistemas de produção tipo job shop
• Beneficiário: Juliana Keiko Sagawa
• Modalidade de apoio: Auxílio à Pesquisa - Regular