Introduction to manufacturing simulation

Miller, Steven M.; Pegden, Dennis

doi:10.1109/wsc.2000.899699

Cited by 36 publications

(17 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…52 The manufacturing field has become one of the main application fields of simulation technologies because these technologies can confirm improvements without actual changes in production systems. 50 This is also because manufacturing simulation has been studied for production system design and scheduling for a long time. …”

Section: Discrete Event Simulation (Des)mentioning

confidence: 99%

An agile operations management system for green factory

Noh

Cho³

2014

Int. J. of Precis. Eng. and Manuf.-Green Tech.

View full text Add to dashboard Cite

The globalization of suppliers and personalization of customers require new manufacturing strategy for environmental issues, region's special regulation and energy besides manufacturing factors from manufacturers. In this study, green factory is defined as a manufacturing floor that reduces waste elements such as extra work, energy, time and cost through quickly responding to external uncontrollable changes like a regulation, due date and supply. Therefore, the green factory should respond by establishing and implementing strategies for controlling their production volumes, changing their dispatch rules, adjusting their work schedules, increasing and decreasing the number of their machines and workers based on their own internal data and capacities, and other measures. To achieve such objective, manufacturing companies should realize a manufacturing intelligence that can visualize their shop-floor data, and detect and solve problems at the business planning level. In this study, an agile operations management (AOM) system that can quickly respond to field problems was developed for manufacturing intelligence. The AOM system refers to a system that collects internal data, monitors such data in real time, immediately detects problems, if any, and provides solutions to the detected issues within the shortest time.

show abstract

Section: Discrete Event Simulation (Des)mentioning

confidence: 99%

An agile operations management system for green factory

Noh

Cho³

2014

Int. J. of Precis. Eng. and Manuf.-Green Tech.

View full text Add to dashboard Cite

show abstract

“…Also, according to Miller [21], manufacturing simulation must include the following elements: 1) Manufacturing Modeling features: There are a number of common system features that are included in the simulation model: Resources, Material Handling, Control Logic, Workstation Logic Buffers, Order/Process Plants, and Job/Workstation/Resource Centric Data.…”

Section: Manufacturing Simulation Featuresmentioning

confidence: 99%

Towards an Agent-based Simulation Tool for Manufacturing Systems

Ruiz

Giret

Botti

2006

2006 IEEE Conference on Emerging Technologies and Factory Automation

View full text Add to dashboard Cite

The application of Simulation to manufacturing has contributed to a generation of tools that is focused on specific problem solving related to automation, planning, material flow, supply chain, logistics,etc. Nowadays, manufacturing has evolved and its needs have changed. After an analysis of the current manufacturing simulation tools, we propose an approach based on Multiagent Systems theory, which covers current manufacturing needs.

show abstract

“…Simulation has long been a mainstay of manufacturing improvement -historically its first major economic sector of application (Miller and Pegden 2000). In the large and complex automotive industry, it is a commonplace that the major automotive manufacturers enlist engineering firms with specialized expertise to design production lines for installation and subsequent operation.…”

Section: Introductionmentioning

confidence: 99%