| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:A plant simulation approach for optimal resource utilization: a case study in the tire manufacturing industry
Authors:ID Butrat, A. (Author)
ID Supsomboon, S. (Author)
Files:.pdf APEM17-2_243-255.pdf (2,70 MB)
MD5: EB6F2AFC93547AB494841910AD419B6E
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract: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.
Keywords:manufacturing, resource utilization, bottleneck, optimization, simualtion modelling, discrete-event simulation, DES, discrete empirical distribution, tires, rubber, banbury mixer, tecnomatix plant simulation
Publication status:Published
Publication version:Version of Record
Submitted for review:22.11.2021
Article acceptance date:13.06.2022
Publication date:31.08.2022
Publisher:Fakulteta za strojništvo, Inštitut za proizvodno strojništvo
Year of publishing:2022
Number of pages:str. 243-255
Numbering:Vol. 17, no. 2
PID:20.500.12556/DKUM-97227 New window
UDC:658.5
ISSN on article:1854-6250
COBISS.SI-ID:269412867 New window
DOI:10.14743/apem2022.2.434 New window
Copyright: 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.
Publication date in DKUM:24.02.2026
Views:149
Downloads:4
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Record is a part of a journal

Title:Advances in production engineering & management
Shortened title:Adv produc engineer manag
Publisher:Fakulteta za strojništvo, Inštitut za proizvodno strojništvo
ISSN:1854-6250
COBISS.SI-ID:229859072 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:optimizacija, simulacija modeliranja


Collection

This document is a part of these collections:
  1. Advances in production engineering & management

Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica