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Optimering av Schemaläggning
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.
2014 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Optimization of Scheduling (English)
Abstract [sv]

Syftet med detta arbete är att utreda möjligheten att använda en matematisk modell för att optimera schemaläggningen av privatkundssäljare vid Carnegie Fonder. Utredningen har genomförts genom en formulering av två matematiska modeller utifrån ett schemaoptimeringsproblem, som består i att tilldela arbetspass utifrån givna villkor. En linjär- samt en kvadratisk modell, har använts för att optimera privatkundsavdelningens schema med hjälp av datorprogrammet Matlab. Resultatet i rapporten visar att matematisk optimering av schemaläggning är något avdelningen skulle kunna använda sig av, då samtliga modeller som tagits fram genererar godkända scheman. Samtidigt visar resultatet av den kvadratiska modellen, att schemaläggningsproblemet kan bli beräkningstungt  om man vill påvisa optimalitet.

Utöver den tekniska utredningen, behandlar även rapporten en analys om vilka faktorer som privatkundschefen bör ta hänsyn till vid schemaläggningen av privatkundssäljare. Denna del av rapporten har genomförts genom en litteraturstudie med fokus på hur man som chef kan påverka kunskapsutbytet i en organisation, samt en intervju med privatkundschefen. Författarna rekommenderar att vid schemaläggningen, i största möjliga mån, sprida ut passen för privatkundssäljarna.

Abstract [en]

The purpose of this paper is to investigate the possibilities to use mathematical optimization when scheduling at the Retail Client Department of Carnegie Funds. The study has been executed through formulation of two mathematical models on an optimization problem for scheduling. This consists of assigning shifts based upon predetermined conditions. A linear model and a quadratic model were used to optimize the schedule, solving the problem with the computer program Matlab. The results show that the mathematical optimization of scheduling potentially could be implemented in the department since all models used guarantee approved schedules. However, the result of the quadratic model shows that it cannot guarantee optimality within reasonable time.

In addition to the technical investigation, the report covers an analysis of the parameters that the retail client manager should take into account when scheduling. This part of the report has been implemented through a literature review with focus on how managers can influence knowledge sharing within an organization, and an interview with the retail client manager. In the optimization of schedules the authors recommend organizations to dispersedly distribute shifts to employees of the Retail Client Department.

Place, publisher, year, edition, pages
2014.
Series
TRITA-MAT-K, 2014:17
National Category
Mathematical Analysis
Identifiers
URN: urn:nbn:se:kth:diva-146743OAI: oai:DiVA.org:kth-146743DiVA: diva2:725401
Subject / course
Applied Mathematical Analysis
Educational program
Master of Science in Engineering - Industrial Engineering and Management
Supervisors
Examiners
Available from: 2014-06-16 Created: 2014-06-15 Last updated: 2014-06-16Bibliographically approved

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