A consideration of modelling techniques that can be used to evaluate manufacturing strategies

Baines, Tim; Harrison, David K.; Kay, John M.; Hamblin, David

doi:10.1007/bf01178917

Cited by 21 publications

(22 citation statements)

References 7 publications

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“…He found the development of the model on the computer more difficult in the case of the DES approach, whereas, the development of the SD model was less troublesome. Baines et al (1998) attributes this to the fact that DES encourages the construction of a more lifelike representation of the real system compared to other techniques, hence resulting in a more detailed and complex model.…”

Section: Des and Sd Model Development Processmentioning

confidence: 99%

“…First, it is claimed that during the DES model building process emphasis is given to the development of the model on the computer (model coding). In their experimental study, Baines et al (1998) commented specifically that the time taken in building a DES model was considerably longer compared to a SD model. Furthermore, Artamonov (2002) developed two equivalent DES and SD models of the beer distribution game model (Senge 1990) and commented on the difficulty involved in coding the model on the computer.…”

Section: Des and Sd Model Development Processmentioning

confidence: 99%

“…DES process flow diagrams, which could be considered as more close to stock and flow diagrams were not considered in her study. Baines et al (1998) provide an experimental study of various modelling techniques, among others DES and SD, and their ability to evaluate manufacturing strategies. The authors commented on the capability of a modelling technique based on the time taken in building models, flexibility, model credibility and accuracy.…”

Section: Existing Work Comparing Des and Sd Modellingmentioning

confidence: 99%

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Model development in discrete-event simulation and system dynamics: An empirical study of expert modellers

Tako

Robinson

2010

European Journal of Operational Research

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Citation: TAKO, A.A. and ROBINSON, S., 2010 AbstractAn empirical study comparing the model development process followed by experts in DiscreteEvent Simulation (DES) and System Dynamics (SD) modelling is undertaken. Verbal Protocol Analysis (VPA) is used to study the modelling process followed by ten expert modellers (5 SD and 5 DES). Participants are asked to build simulation models based on a case study and to think aloud while modelling. The generated verbal protocols are divided into 7 modelling topics:problem structuring, conceptual modelling, data inputs, model coding, validation & verification,results & experimentation and implementation and then analyzed. Our results suggest that all modellers switch between modelling topics, however DES modellers follow a more linear progression. DES modellers focus significantly more on model coding and verification & validation, whereas SD modellers on conceptual modelling. Observations are made revealing some interesting differences in the way the two groups of modellers tackle the case. This paper contributes towards the comparison of DES and SD.

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Section: Des and Sd Model Development Processmentioning

confidence: 99%

Section: Des and Sd Model Development Processmentioning

confidence: 99%

Section: Existing Work Comparing Des and Sd Modellingmentioning

confidence: 99%

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Model development in discrete-event simulation and system dynamics: An empirical study of expert modellers

Tako

Robinson

2010

European Journal of Operational Research

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“…A suitable model can reflect the manufacturing strategy under consideration and provide the prediction of manufacturing capabilities so as to support judgment in the strategy evaluation process [12]. In order to better understand the links between the economic factors we hypothesized earlier, econometric models are thus used for investigation.…”

Section: Econometric Models For Manufacturing Strategymentioning

confidence: 99%

Impacts of the overheating economy on China’s manufacturing industry

Chung

Chan

2008

Int J Adv Manuf Technol

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This paper aims to investigate how the recent overheating economy and other economic factors influence the manufacturing industry in China. It makes use of Chinese historical data from 1950 to 2007 provided in the China Statistical Databases authorized by the National Bureau of Statistics of China for the development of econometric models. Regression analysis is used to investigate and verify the importance of and relationships among the variables, while exponential smoothing and autoregressive integrated moving average methods are applied for forecasting the important variables. This study provides empirical evidence to identify the main impact factors on the growth of the manufacturing industry, thereby enabling firms to take them into account when planning their manufacturing strategy. It also enables firms to get an insight into the development of China's manufacturing industry in this dynamic, competitive economy.

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“…A robust model could be used independently to give localised indications of performance. Alternatively, such a model could also be combined with other forms of manufacturing system model such as DES, to give an holistic view of business performance (Baines et al, 1998).…”

Section: A Modelling Frameworkmentioning

confidence: 99%