Simulation-based multiobjective optimization and availability analysis of reconfigurable manufacturing systems
2021 (English)Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE credits
Student thesis
Abstract [en]
Due to the changes and improvements that have occurred over the years, the manufacturing sector has evolved. Companies in the 21st-century face changes in the marketplace that are difficult to predict due to international competition and the rapid emergence of new products. To cope, companies must reinvent themselves and design manufacturing systems that seek to produce quality and low-cost products, and respond to the changes that must be faced. These capabilities are encompassed in reconfigurable manufacturing systems (RMS), capable of dealing with uncertainties quickly and economically.
On the other hand, production planning with this type of system presents a significant challenge. Although simulation-based optimization techniques have been applied to address certain RMS challenges, only a few studies have applied simulation-based multi-objective optimization to simultaneously address several conflicting design objectives, as is the case in this project. This project aims to investigate some aspects using SBMO that directly affect the performance of a plant and demonstrate the usefulness of the method.
Place, publisher, year, edition, pages
2021. , p. 52
Keywords [en]
Reconfigurable manufacturing system (RMS), simulation-based multi-objective optimization (SBMO), system configuration, process planning and line balancing, availability
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:his:diva-20196OAI: oai:DiVA.org:his-20196DiVA, id: diva2:1578139
Subject / course
Industrial Engineering
Supervisors
Examiners
Note
Det finns övrigt digitalt material (t.ex. film-, bild- eller ljudfiler) eller modeller/artefakter tillhörande examensarbetet som ska skickas till arkivet.
2021-07-052021-07-052021-07-05Bibliographically approved