20.500.12556/DKUM-97227 A plant simulation approach for optimal resource utilization: a case study in the tire manufacturing industry In this study, the resource allocation and vital manufacturing processes in the tire manufacturing industry was comprehensively optimized. The paper deals in detail with the Banbury mixing process, which produces homogeneous rubber materials for tire components. In addition, the mixing process models were established by the Plant Simulation software to validate and compare scenarios and experiments with realistic production constraints. Discrete empirical distribution (dEmp) was proposed for population data. Various scenarios were created for different resource and process. Experiments were set as different group of compound set. Experiment manager was used as a tool to set up scenarios and the experiments to provide alternative results. The study results display the production time and machine utilization. The shortest production time of experiment results represents the best group of each scenario. As results, the scenario, which BB1 is changed from non-productive Banbury mixer to special Banbury mixer along with the normal process is combined with second special process, provides the suitable production volume which can reduce of total production time for 8.06 %. Our study provides a variety of the resource utilization of a Banbury mixing process and suggests an efficient optimization method for production performance improvement. manufacturing resource utilization bottleneck optimization simualtion modelling discrete-event simulation DES discrete empirical distribution tires rubber banbury mixer tecnomatix plant simulation optimizacija simulacija modeliranja true false true Fakulteta za strojništvo, Inštitut za proizvodno strojništvo Angleški jezik Slovenski jezik https://apem-journal.org/index.html Content from this work may be used under the terms of the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation, and DOI. Članek v reviji 2026-02-24 11:19:56 2026-02-24 11:19:56 2026-03-20 07:14:40 0000-00-00 00:00:00 2022 0 0 str. 243-255 no. 2 Vol. 17 Jun. 2022 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2021-11-22 2022-06-13 2022-08-31 658.5 269412867 10.14743/apem2022.2.434 1854-6250 APEM17-2_243-255.pdf APEM17-2_243-255.pdf 1 EB6F2AFC93547AB494841910AD419B6E f6ab353263dac3170dd1ef35450fc4768e59965e12ff80f4e489a7bd9a643b59 d3323b7d-116a-11f1-a1a6-00155d580e1a https://dk.um.si/Dokument.php?lang=slv&id=203747 Fakulteta za strojništvo Advances in production engineering & management 0 0 0