Applications of discrete event simulation in the design of automotive powertrain manufacturing systems

Jayararnan, A.; Gunal, Ali

doi:10.1145/268437.268620

Cited by 13 publications

(11 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first classification was based on the stage of development of the system and the second was based on the nature of the problem investigated. Jayaraman and Agarwal (1996) addressed a general concept when the simulation technique is applied to the engine plant, and Jayaraman and Gunal (1997) presented a simulation study in a testing area of an engine plant. The simulation studies regarding the engine block line have been suggested by Choi et al (2002), Kumar and Houshyar (2002).…”

Section: Figure 1 Example Of Crankshaftmentioning

confidence: 99%

A Simulation Based Study on Increasing Production Capacity in a Crankshaft Line Considering Limited Budget and Space

Wang¹,

Song²,

Shin³

et al. 2014

Journal of Korean Institute of Industrial Engineers

View full text Add to dashboard Cite

In this paper, we discussed a problem for improving the throughput of a crankshaft manufacturing line in an automotive factory in which the budget for purchasing new machines and installing additional buffers is limited. We also considered the constraint of available space for both of machine and buffer. Although this problem seems like a kind of buffer allocation problem, it is different from buffer allocation problem because additional machines are also considered. Thus, it is not easy to calculate the throughput by mathematical model, and therefore simulation model was developed using ARENA ® for estimating throughput. To determine the investment plan, a modified Arrow Assignment Rule under some constraints was suggested and it was applied to the real case.

show abstract

Section: Figure 1 Example Of Crankshaftmentioning

confidence: 99%

A Simulation Based Study on Increasing Production Capacity in a Crankshaft Line Considering Limited Budget and Space

Wang¹,

Song²,

Shin³

et al. 2014

Journal of Korean Institute of Industrial Engineers

View full text Add to dashboard Cite

show abstract

“…Simulation is a technique of constructing a model that describes the behaviour of a real world system, and the resulting model can then be used to test how the performance of a proposed system alters over differing operating conditions. Discrete event simulation appears to be the standard tool used in the design of different automotive manufacturing systems [6]. DES is concerned with modelling a system by a representation in which state variables change instantaneously at separate points in time, directly associated with the beginning and end of events within a system [9].…”

Section: Simulation Within a Process Of Manufacturing System Designmentioning

confidence: 99%

Humans: the missing link in manufacturing simulation?

Baines

Mason

Siebers

et al. 2004

Simulation Modelling Practice and Theory

101

View full text Add to dashboard Cite

“…To meet these challenges, automotive companies utilize various virtual tools and methods for product and production development, for example discrete event simulation (DES). 1 The capability to analyze and understand the dynamics of production systems makes DES an effective tool for solving many practical real-world problems in manufacturing. 2 To be successful in using DES, numerous authors have stressed the need to adopt a systematic simulation methodology.…”

Section: Introductionmentioning

confidence: 99%

“…To meet these challenges, automotive companies utilize various virtual tools and methods for product and production development, for example discrete event simulation (DES). 1…”

Section: Introductionmentioning

confidence: 99%

Data quality problems in discrete event simulation of manufacturing operations

et al. 2017

View full text Add to dashboard Cite

High quality input data is a necessity for successful Discrete Event Simulation (DES) applications, and there are available methodologies for data collection in DES projects. However, in contrast to standalone projects, using DES as a daily manufacturing engineering tool requires high quality production data to be constantly available. In fact, there has been a major shift in the application of DES in manufacturing from production system design to daily operations, accompanied by a stream of research on automation of input data management and interoperability between data sources and simulation models. Unfortunately, this research stream rest on the assumption that the collected data are already of high quality, and there is a lack of in-depth understanding of simulation data quality problems from a practitioners' perspective. Therefore, a multiple-case study within the automotive industry was used to provide empirical descriptions of simulation data quality problems; data production processes; and relations between these processes and simulation data quality problems. These empirical descriptions are necessary to extend the present knowledge on data quality in DES in a practical real-world manufacturing context, which is a prerequisite for developing practical solutions for solving data quality problems such as limited accessibility, lack of data on minor stoppages, and data sources not being designed for simulation. Further, the empirical and theoretical knowledge gained throughout the study was used to propose a set of practical guidelines that can support manufacturing companies in improving data quality in DES.

show abstract

Applications of discrete event simulation in the design of automotive powertrain manufacturing systems

Cited by 13 publications

References 2 publications

A Simulation Based Study on Increasing Production Capacity in a Crankshaft Line Considering Limited Budget and Space

A Simulation Based Study on Increasing Production Capacity in a Crankshaft Line Considering Limited Budget and Space

Humans: the missing link in manufacturing simulation?

Data quality problems in discrete event simulation of manufacturing operations

Contact Info

Product

Resources

About