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Process Chain Optimization in a Smart Factory
KTH, School of Electrical Engineering and Computer Science (EECS).
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The purpose with this thesis is to reduce downtime of machines androbots in a serial production line by improving communication betweenoperators and machines. Modeling a serial production line asa queuing system makes Markov chain optimization methods possible.The concept is to make machines and robots adapt its service ratesbased on status of its surrounding machines and the position of operators.In a pharmaceutical industry, a production rate of 50-60% of itsmaximum capacity is considered as normal. Unnecessary downtimecaused by machine breakdowns is one factor which reduces the productionrate. Two optimization methods were investigated, the workallocation problem and the targeting problem. It was found that thework allocation problem does not provide an optimal solution whenmodeling with a saturated model. The targeting problem provides anoptimal solution, which is a trade-off between the average amount ofproducts in a system and the cost for keeping this level.

Abstract [sv]

Målet med detta examensarbete är att minimera driftstopp i en seriellproduktionlina genom att förbättra kommunikationen mellan operatöreroch maskiner. Genom att modellera en produktionslina somett kösystem möjligör användandet av optimeringsmetod för markovkedjor.Konceptet är att låta maskiner och robotar anpassa sin produktionshastighetbaserat på positionen av operatörer. Inom läkemedelsindustrinär en produktionshastighet om 50-60% av den maximala kapacitetenansedd som normalt. Onödigt långa driftstopp i sambandmed maskinfel är en faktor som påverkar produktionshastigheten. Tvåoptimeringsmetoder studerades, Åork Allocation Problemöch TargetingProblem". Det visades att det inte var möjligt att hitta en optimallösning med hjälp av Åork Allocation Problem". Targeting Problemggeren optimal lösning som är en avvägning mellan det genomsnittligaantalet produktion i ett system och kostnaden för att hålla den nivån.

Place, publisher, year, edition, pages
2018. , p. 43
Series
TRITA-EECS-EX ; 2018:305
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-232185OAI: oai:DiVA.org:kth-232185DiVA, id: diva2:1232904
External cooperation
Fresenius Kabi
Educational program
Master of Science - Systems, Control and Robotics
Supervisors
Examiners
Available from: 2018-07-13 Created: 2018-07-13 Last updated: 2018-07-13Bibliographically approved

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