Bottleneck analysis using reverse-score: An experimental study
2019 (English)Independent thesis Advanced level (degree of Master (One Year)), 12 credits / 18 HE credits
Student thesis
Abstract [en]
There are manufacturing systems all over the world and all of them present dif- ferent characteristics. To get close to those manufacturing systems and aid them to analyze data and improve their efficiency, it arises FACTS Analyzer®. The present project concerns the development of a bottleneck analysis using REVERSE- SCORE (Simulation based COnstraint REmoval), feature included in FACTS Ana- lyzer. It is used Simulation-based Multi-Objective Optimization (SMO) to ana- lyze the different variables of a production line and investigate how to best extend previous application of SMO for bottleneck detection to not only consider im- provements of system parameters but also degradations of them. Degrading some system parameters can have many hidden advantages such as reduce power con- sumption, increase material efficiency or lengthen the useful life of the machines or tools, advantages that can draw near sustainability.
Place, publisher, year, edition, pages
2019. , p. 83
Keywords [en]
Bottleneck, simulation, manufacturing line, multi-objective optimization, FACTS Analyzer, SCORE, sustainability, reduce power consumption.
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:his:diva-17327OAI: oai:DiVA.org:his-17327DiVA, id: diva2:1332639
External cooperation
Volvo Car Corporation
Subject / course
Virtual Product Realization
Educational program
Intelligent Automation - Master's Programme, 60 ECTS
Supervisors
Examiners
2019-06-302019-06-282019-07-01Bibliographically approved