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Benchmarking Car Dealership Efficiency using DEA NSBM

Kerkhof, R.G. (2022) Benchmarking Car Dealership Efficiency using DEA NSBM.

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Full Text Status:Access to this publication is restricted
Embargo date:11 November 2027
Abstract:The automotive industry is one of the most important industries in terms of contributing to global turnover, but the sector is nevertheless characterised as a low-profit sector. This means that small improvements to their processes and profit margin may lead to a significant change in profit. A popular approach to improving a process is benchmarking, fundamentally, this entails measuring the process and comparing it to other similar processes. The goal of this thesis is to improve car dealership benchmarking by designing a benchmarking tool for the workshop department, such that it calculates the efficiency of the main (standardized) process. This is done to provide the dealerships with a more insightful assessment and to give automated improvement suggestions. This is achieved by designing a Data Envelopment Analysis (DEA) Network Slacks-Based Measure (NSBM) model, used to measure the Service Core Process (SCP). This model was programmed using R, after which it was verified and extended based on the literature; the results of the verified model were validated using a case study.
Item Type:Essay (Master)
Clients:
Forque Advisory Services Netherlands BV, Enter, The Netherlands
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:31 mathematics, 54 computer science, 58 process technology
Programme:Business Information Technology MSc (60025)
Link to this item:https://purl.utwente.nl/essays/93888
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