Optimization of travel requests with process simulation analysis

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dc.authoridCelik, Atalay/0000-0003-4876-6657
dc.contributor.authorCelik, Atalay
dc.contributor.authorDogan, Onur
dc.date.accessioned2025-03-20T09:51:11Z
dc.date.available2025-03-20T09:51:11Z
dc.date.issued2024
dc.departmentİzmir Bakırçay Üniversitesi
dc.description.abstractEfficient travel request management is crucial in the modern corporate landscape, impacting decisionmaking, budget control, and overall operational efficiency. This study delves into the intricacies of the travel request management process with process mining and process simulation, aiming to assess the cost structure and efficiency. Three research questions were examined and tested statistically. Using a comprehensive dataset encompassing timestamps, personnel roles, and cost details, the research uncovers significant insights. The findings reveal substantial cost variations across different stages of the travel request process. Rolebased analysis highlights variations in costs and processing times associated with distinct personnel roles. Additionally, delays, bottlenecks, and process variability emerge as key contributors to elevated process costs. Furthermore, process mining and simulation were instrumental in quantifying the impact of process optimizations. The simulations demonstrated that a 20% reduction in response times for Unit Leaders, a 40% reduction for Project Managers, and a 30% reduction for both roles collectively yielded the most significant cost savings. On average, a 0.45% cost improvement was observed for each percentage reduction in response times, reinforcing the importance of efficiency enhancements. These numerical results not only validate the critical role of response time reduction in cost control but also provide actionable insights for organizations to streamline their travel request management processes, improve budget allocation, and enhance operational efficiency in the corporate landscape.
dc.description.sponsorshipThis research was conducted as part of a graduate course, END570E Special Topics in Industrial Engineering, at Istanbul Technical Univer-sity.
dc.identifier.doi10.1016/j.cie.2024.110487
dc.identifier.issn0360-8352
dc.identifier.issn1879-0550
dc.identifier.scopus2-s2.0-85201900756
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.cie.2024.110487
dc.identifier.urihttps://hdl.handle.net/20.500.14034/2457
dc.identifier.volume196
dc.identifier.wosWOS:001301767500001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofComputers & Industrial Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250319
dc.subjectProcess mining
dc.subjectProcess simulation
dc.subjectWhat-if analysis
dc.subjectCost management
dc.subjectStatistical insight
dc.titleOptimization of travel requests with process simulation analysis
dc.typeArticle

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