| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:A comparative study of different pull control strategies in multi-product manufacturing systems using discrete event simulation
Authors:ID Xanthopoulos, A. S. (Author)
ID Koulouriotis, D. E. (Author)
Files:.pdf APEM16-4_473-484.pdf (1004,17 KB)
MD5: BE488D1C18ECB420F8CC9222A31FA0E3
 
URL https://apem-journal.org/Archives/2021/Abstract-APEM16-4_473-484.html
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:Pull production control strategies coordinate manufacturing operations based on actual demand. Up to now, relevant publications mostly examine manufacturing systems that produce a single type of a product. In this research, we examine the CONWIP, Base Stock, and CONWIP/Kanban Hybrid pull strategies in multi-product manufacturing systems. In a multi-product manufacturing system, several types of products are manufactured by utilizing the same resources. We develop queueing network models of multi-stage, multiproduct manufacturing systems operating under the three aforementioned pull control strategies. Simulation models of the alternative production systems are implemented using an open-source software. A comparative evaluation of CONWIP, Base Stock and CONWIP/Kanban Hybrid in multi-product manufacturing is carried out in a series of simulation experiments with varying demand arrival rates, setup times and control parameters. The control strategies are compared based on average wait time of backordered demand, average finished products inventories, and average length of backorders queues. The Base Stock strategy excels when the manufacturing system is subjected to high demand arrival rates. The CONWIP strategy produced consistently the highest level of finished goods inventories. The CONWIP/Kanban Hybrid strategy is significantly affected by the workload that is imposed on the system.
Keywords:discrete event simulation (DES), open-source software, JaamSim DES software, multi-product manufacturing, multi-stage production systems, pull-type production control strategies
Publication status:Published
Publication version:Version of Record
Submitted for review:17.09.2021
Article acceptance date:03.12.2021
Publication date:18.12.2021
Publisher:Univerza v Mariboru
Year of publishing:2021
Number of pages:str. 473-484
Numbering:Vol. 16, no. 4
PID:20.500.12556/DKUM-97459 New window
UDC:004.94
ISSN on article:1854-6250
COBISS.SI-ID:270927107 New window
DOI:10.14743/apem2021.4.414 New window
NUK URN:URN:SI:UM:DK:3JIT4SW9
Publication date in DKUM:10.03.2026
Views:159
Downloads:11
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:simulacije diskretnih dogodkov, odprtokodna programska oprema, programska oprema JaamSim DES, proizvodnja več izdelkov, večstopenjski proizvodni sistemi, strategije nadzora proizvodnje tipa pull


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