Automatic simulation model generation for supporting facility planning in SMEs

Ruby Wai Chung Hughes, Rab Scott, Keith Ridgway

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

Small and medium-sized enterprises (SMEs) often view Discrete Event Simulation (DES) as a troublesome task for supporting decision-making processes (COPERNICO, 2011), due to the amount of time, skill and cost which could involve during the modelling processes. In literature, increasing interests are focusing on automatically generate DES model that is a simulation model is not created manually using the modelling tools of the chosen simulator; rather it is generated from external data sources using interfaces of the simulator and algorithms for creating the model. This paper proposed a DES module aims to support SMEs to generate process flow DES models automatically. The proposed approach includes an online data capture tool which can capture all necessary model data for develop a DES model for the SME, then this model data would generate a data file which could be read by the DES module in real-time. By this approach, SME could generate DES model instantly without spending huge amount of time on identifying data requirement, developing model from scratch, and learning how to use a particular simulation tool.

LanguageEnglish
Title of host publicationModelling and Simulation 2013
Subtitle of host publicationEuropean Simulation and Modelling Conference 2013
EditorsStephan Onggo, Antonin Kavicka
Place of PublicationOstend, Belgium
Pages62-67
Number of pages6
Publication statusPublished - 23 Oct 2013
Event27th Annual European Simulation and Modelling Conference, ESM 2013 - Lancaster, United Kingdom
Duration: 23 Oct 201325 Oct 2013

Conference

Conference27th Annual European Simulation and Modelling Conference, ESM 2013
CountryUnited Kingdom
CityLancaster
Period23/10/1325/10/13

Fingerprint

Small and Medium-sized Enterprises
Discrete Event Simulation
Simulation Model
Discrete event simulation
Planning
Industry
Data Model
Simulator
Module
Flow Simulation
Simulators
Process Modeling
Simulation Tool
Decision Making
Real-time
Necessary
Data acquisition
Requirements
Costs
Decision making

Keywords

  • discrete event simulation
  • simulation and modelling
  • strategic management

Cite this

Hughes, R. W. C., Scott, R., & Ridgway, K. (2013). Automatic simulation model generation for supporting facility planning in SMEs. In S. Onggo, & A. Kavicka (Eds.), Modelling and Simulation 2013: European Simulation and Modelling Conference 2013 (pp. 62-67). Ostend, Belgium.
Hughes, Ruby Wai Chung ; Scott, Rab ; Ridgway, Keith. / Automatic simulation model generation for supporting facility planning in SMEs. Modelling and Simulation 2013: European Simulation and Modelling Conference 2013. editor / Stephan Onggo ; Antonin Kavicka. Ostend, Belgium, 2013. pp. 62-67
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title = "Automatic simulation model generation for supporting facility planning in SMEs",
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Hughes, RWC, Scott, R & Ridgway, K 2013, Automatic simulation model generation for supporting facility planning in SMEs. in S Onggo & A Kavicka (eds), Modelling and Simulation 2013: European Simulation and Modelling Conference 2013. Ostend, Belgium, pp. 62-67, 27th Annual European Simulation and Modelling Conference, ESM 2013, Lancaster, United Kingdom, 23/10/13.

Automatic simulation model generation for supporting facility planning in SMEs. / Hughes, Ruby Wai Chung; Scott, Rab; Ridgway, Keith.

Modelling and Simulation 2013: European Simulation and Modelling Conference 2013. ed. / Stephan Onggo; Antonin Kavicka. Ostend, Belgium, 2013. p. 62-67.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

TY - GEN

T1 - Automatic simulation model generation for supporting facility planning in SMEs

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AU - Scott, Rab

AU - Ridgway, Keith

PY - 2013/10/23

Y1 - 2013/10/23

N2 - Small and medium-sized enterprises (SMEs) often view Discrete Event Simulation (DES) as a troublesome task for supporting decision-making processes (COPERNICO, 2011), due to the amount of time, skill and cost which could involve during the modelling processes. In literature, increasing interests are focusing on automatically generate DES model that is a simulation model is not created manually using the modelling tools of the chosen simulator; rather it is generated from external data sources using interfaces of the simulator and algorithms for creating the model. This paper proposed a DES module aims to support SMEs to generate process flow DES models automatically. The proposed approach includes an online data capture tool which can capture all necessary model data for develop a DES model for the SME, then this model data would generate a data file which could be read by the DES module in real-time. By this approach, SME could generate DES model instantly without spending huge amount of time on identifying data requirement, developing model from scratch, and learning how to use a particular simulation tool.

AB - Small and medium-sized enterprises (SMEs) often view Discrete Event Simulation (DES) as a troublesome task for supporting decision-making processes (COPERNICO, 2011), due to the amount of time, skill and cost which could involve during the modelling processes. In literature, increasing interests are focusing on automatically generate DES model that is a simulation model is not created manually using the modelling tools of the chosen simulator; rather it is generated from external data sources using interfaces of the simulator and algorithms for creating the model. This paper proposed a DES module aims to support SMEs to generate process flow DES models automatically. The proposed approach includes an online data capture tool which can capture all necessary model data for develop a DES model for the SME, then this model data would generate a data file which could be read by the DES module in real-time. By this approach, SME could generate DES model instantly without spending huge amount of time on identifying data requirement, developing model from scratch, and learning how to use a particular simulation tool.

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KW - strategic management

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Hughes RWC, Scott R, Ridgway K. Automatic simulation model generation for supporting facility planning in SMEs. In Onggo S, Kavicka A, editors, Modelling and Simulation 2013: European Simulation and Modelling Conference 2013. Ostend, Belgium. 2013. p. 62-67