Developing Simulation-Based Decision Support Systems For Customer-Driven Manufacturing Operation Planning

Juhani Heilala, Jari Montonen, Paula Järvinen, Sauli Kivikunnas, Matti Maantila, Jarkko Sillanpää, Tero Jokinen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

Discrete-event simulation (DES) has mainly been used as a production system analysis tool to evaluate new production system concepts, layout and control logic. Recent developments have made DES models feasible for use in the day-to-day operational production and planning of manufacturing facilities. Operative simulation models provide manufacturers with the ability to evaluate the capacity of the system for new orders, unforeseen events such as equipment downtime, and changes in operations. A simulation-based Decision Support System (DSS) can be used to help planners and schedulers organize production more efficiently in the turbulent global manufacturing. This paper presents the challenges for development and the efforts to overcome these challenges for the simulation-based DSS. The major challenges are: 1) data integration 2) automated simulation model creation and updates and 3) the visualization of results for interactive and effective decision making. A recent case study is also presented.
Original languageEnglish
Title of host publicationProceedings of the 2010 Winter Simulation Conference, WSC '10
Subtitle of host publicationBaltimore Marriot Waterfront, Baltimore, Maryland, USA, December 5-8, 2010
EditorsB. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, E. Yücesan
Place of PublicationBaltimore, USA
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages3363-3375
ISBN (Electronic)978-1-4244-9865-9
ISBN (Print)978-1-4244-9864-2, 978-1-4244-9866-6
DOIs
Publication statusPublished - 2010
MoE publication typeA4 Article in a conference publication

Fingerprint

Decision support systems
Planning
Discrete event simulation
Plant layout
Data integration
Visualization
Decision making
Systems analysis

Keywords

  • decision support system
  • manufacturing simulation
  • operation planning

Cite this

Heilala, J., Montonen, J., Järvinen, P., Kivikunnas, S., Maantila, M., Sillanpää, J., & Jokinen, T. (2010). Developing Simulation-Based Decision Support Systems For Customer-Driven Manufacturing Operation Planning. In B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, & E. Yücesan (Eds.), Proceedings of the 2010 Winter Simulation Conference, WSC '10: Baltimore Marriot Waterfront, Baltimore, Maryland, USA, December 5-8, 2010 (pp. 3363-3375). Baltimore, USA: Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/WSC.2010.5679027
Heilala, Juhani ; Montonen, Jari ; Järvinen, Paula ; Kivikunnas, Sauli ; Maantila, Matti ; Sillanpää, Jarkko ; Jokinen, Tero. / Developing Simulation-Based Decision Support Systems For Customer-Driven Manufacturing Operation Planning. Proceedings of the 2010 Winter Simulation Conference, WSC '10: Baltimore Marriot Waterfront, Baltimore, Maryland, USA, December 5-8, 2010. editor / B. Johansson ; S. Jain ; J. Montoya-Torres ; J. Hugan ; E. Yücesan. Baltimore, USA : Institute of Electrical and Electronic Engineers IEEE, 2010. pp. 3363-3375
@inproceedings{15c0e254ffcc44e3aa3c9b31a919d537,
title = "Developing Simulation-Based Decision Support Systems For Customer-Driven Manufacturing Operation Planning",
abstract = "Discrete-event simulation (DES) has mainly been used as a production system analysis tool to evaluate new production system concepts, layout and control logic. Recent developments have made DES models feasible for use in the day-to-day operational production and planning of manufacturing facilities. Operative simulation models provide manufacturers with the ability to evaluate the capacity of the system for new orders, unforeseen events such as equipment downtime, and changes in operations. A simulation-based Decision Support System (DSS) can be used to help planners and schedulers organize production more efficiently in the turbulent global manufacturing. This paper presents the challenges for development and the efforts to overcome these challenges for the simulation-based DSS. The major challenges are: 1) data integration 2) automated simulation model creation and updates and 3) the visualization of results for interactive and effective decision making. A recent case study is also presented.",
keywords = "decision support system, manufacturing simulation, operation planning",
author = "Juhani Heilala and Jari Montonen and Paula J{\"a}rvinen and Sauli Kivikunnas and Matti Maantila and Jarkko Sillanp{\"a}{\"a} and Tero Jokinen",
note = "Project code: 32114",
year = "2010",
doi = "10.1109/WSC.2010.5679027",
language = "English",
isbn = "978-1-4244-9864-2",
pages = "3363--3375",
editor = "B. Johansson and S. Jain and J. Montoya-Torres and J. Hugan and E. Y{\"u}cesan",
booktitle = "Proceedings of the 2010 Winter Simulation Conference, WSC '10",
publisher = "Institute of Electrical and Electronic Engineers IEEE",
address = "United States",

}

Heilala, J, Montonen, J, Järvinen, P, Kivikunnas, S, Maantila, M, Sillanpää, J & Jokinen, T 2010, Developing Simulation-Based Decision Support Systems For Customer-Driven Manufacturing Operation Planning. in B Johansson, S Jain, J Montoya-Torres, J Hugan & E Yücesan (eds), Proceedings of the 2010 Winter Simulation Conference, WSC '10: Baltimore Marriot Waterfront, Baltimore, Maryland, USA, December 5-8, 2010. Institute of Electrical and Electronic Engineers IEEE, Baltimore, USA, pp. 3363-3375. https://doi.org/10.1109/WSC.2010.5679027

Developing Simulation-Based Decision Support Systems For Customer-Driven Manufacturing Operation Planning. / Heilala, Juhani; Montonen, Jari; Järvinen, Paula; Kivikunnas, Sauli; Maantila, Matti; Sillanpää, Jarkko; Jokinen, Tero.

Proceedings of the 2010 Winter Simulation Conference, WSC '10: Baltimore Marriot Waterfront, Baltimore, Maryland, USA, December 5-8, 2010. ed. / B. Johansson; S. Jain; J. Montoya-Torres; J. Hugan; E. Yücesan. Baltimore, USA : Institute of Electrical and Electronic Engineers IEEE, 2010. p. 3363-3375.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Developing Simulation-Based Decision Support Systems For Customer-Driven Manufacturing Operation Planning

AU - Heilala, Juhani

AU - Montonen, Jari

AU - Järvinen, Paula

AU - Kivikunnas, Sauli

AU - Maantila, Matti

AU - Sillanpää, Jarkko

AU - Jokinen, Tero

N1 - Project code: 32114

PY - 2010

Y1 - 2010

N2 - Discrete-event simulation (DES) has mainly been used as a production system analysis tool to evaluate new production system concepts, layout and control logic. Recent developments have made DES models feasible for use in the day-to-day operational production and planning of manufacturing facilities. Operative simulation models provide manufacturers with the ability to evaluate the capacity of the system for new orders, unforeseen events such as equipment downtime, and changes in operations. A simulation-based Decision Support System (DSS) can be used to help planners and schedulers organize production more efficiently in the turbulent global manufacturing. This paper presents the challenges for development and the efforts to overcome these challenges for the simulation-based DSS. The major challenges are: 1) data integration 2) automated simulation model creation and updates and 3) the visualization of results for interactive and effective decision making. A recent case study is also presented.

AB - Discrete-event simulation (DES) has mainly been used as a production system analysis tool to evaluate new production system concepts, layout and control logic. Recent developments have made DES models feasible for use in the day-to-day operational production and planning of manufacturing facilities. Operative simulation models provide manufacturers with the ability to evaluate the capacity of the system for new orders, unforeseen events such as equipment downtime, and changes in operations. A simulation-based Decision Support System (DSS) can be used to help planners and schedulers organize production more efficiently in the turbulent global manufacturing. This paper presents the challenges for development and the efforts to overcome these challenges for the simulation-based DSS. The major challenges are: 1) data integration 2) automated simulation model creation and updates and 3) the visualization of results for interactive and effective decision making. A recent case study is also presented.

KW - decision support system

KW - manufacturing simulation

KW - operation planning

U2 - 10.1109/WSC.2010.5679027

DO - 10.1109/WSC.2010.5679027

M3 - Conference article in proceedings

SN - 978-1-4244-9864-2

SN - 978-1-4244-9866-6

SP - 3363

EP - 3375

BT - Proceedings of the 2010 Winter Simulation Conference, WSC '10

A2 - Johansson, B.

A2 - Jain, S.

A2 - Montoya-Torres, J.

A2 - Hugan, J.

A2 - Yücesan, E.

PB - Institute of Electrical and Electronic Engineers IEEE

CY - Baltimore, USA

ER -

Heilala J, Montonen J, Järvinen P, Kivikunnas S, Maantila M, Sillanpää J et al. Developing Simulation-Based Decision Support Systems For Customer-Driven Manufacturing Operation Planning. In Johansson B, Jain S, Montoya-Torres J, Hugan J, Yücesan E, editors, Proceedings of the 2010 Winter Simulation Conference, WSC '10: Baltimore Marriot Waterfront, Baltimore, Maryland, USA, December 5-8, 2010. Baltimore, USA: Institute of Electrical and Electronic Engineers IEEE. 2010. p. 3363-3375 https://doi.org/10.1109/WSC.2010.5679027