Initializing on-line simulations from the state of a distributed system

Gonzalez, Fernando; Davis, W.J.

doi:10.1109/wsc.1998.745028

Cited by 9 publications

(3 citation statements)

References 5 publications

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“…Indeed, the difficulty is to perform the link between logic control of the manufacturing system and the numerous observer's data needed. Same kind of problem was already raised by (Gonzalez et al, 1998).…”

Section: Fig 1 Classical Behavior Of Decision Support Systemsmentioning

confidence: 89%

Proposal of an Approach to Automate the Generation of a Transitic System's Observer and Decision Support using Model Driven Engineering

Adam¹,

Cardin²,

Berruet

et al. 2011

IFAC Proceedings Volumes

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Short term decision support for manufacturing systems is generally difficult because of the initial data needed by the calculations. Previous works suggest the use of a discrete event observer in order to retrieve these data from a virtual copy of the workshop, as up to date as possible at any time. This proposal offered many perspectives, but suffers from the difficulties to generate a decision support tool combining decision calculations and observation. Meanwhile, interesting developments were made in literature about automatic generation of logic control programs for those same manufacturing systems, especially using the Model Driven Engineering. This paper suggests the use of Model Driven Engineering to generate logic control programs, the observer and the decision support tool at the same time, based on the same data collected by the designer of the system. Thus, the last section presents the evolution needed in the initial data structure, as well as the conception flow suggested to automatize the generation.

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Section: Fig 1 Classical Behavior Of Decision Support Systemsmentioning

confidence: 89%

Proposal of an Approach to Automate the Generation of a Transitic System's Observer and Decision Support using Model Driven Engineering

Adam¹,

Cardin²,

Berruet

et al. 2011

IFAC Proceedings Volumes

View full text Add to dashboard Cite

show abstract

“…The problems of initializing online simulation have been reported by Gonzalez and Davis [22]. They have developed software for controlling and simulating a flexible manufacturing system (FMS).…”

Section: Online Simulation In Cssmentioning

confidence: 99%

Conjunctive simulated scheduling

Gupta‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

Sivakumar

2004

Int J Adv Manuf Technol

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The scheduling of highly complex job shops, such as those found in semiconductor manufacturing, involves multiple types of work centers, large and changing varieties of the products, sequence dependent set up times, reentrant process flow, dynamically changing environment, etc. These complexities make the job shop scheduling problem very strongly nondeterministic polynominally (NP)-hard and intractable to solve by the traditional scheduling approaches. This paper presents the concept and applications of the conjunctive simulated scheduling (CSS) approach, which incorporates the benefits of discrete event simulation in scheduling the shop and avoids the NP-hard formulation of these complex scheduling problems. The differences between CSS and typical simulation studies and its application to online simulation are also presented.

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“…An application of real time simulation logistics has been reported by Ruiz-Torres and Nakatani in which the prototype system is used for due date assignment (Ruiz-Torres and Nakatani 1998). The problems of initializing on-line simulation have been reported by (Gonzalez and Davis 1998). They have developed a software for controlling and simulating an FMS system.…”

Section: Simulation and Schedulingmentioning

confidence: 99%

Optimization of a cycle time and utilization in semiconductor test manufacturing using simulation based, on-line, near-real-time scheduling system

Sivakumar¹

1999

Proceedings of the 31st Conference on Winter Simulation Simulation---a Bridge to the Future - WSC '99

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A discrete event simulation based "on-line near-real-time" dynamic scheduling and optimization system has been conceptualized, designed, and developed to optimize cycle time and asset utilization in the complex manufacturing environment of semiconductor test manufacturing. Our approach includes the application of rules and optimization algorithm, using multiple variables as an integral part of discrete event simulation of the manufacturing operation and auto simulation model generation at a desired frequency. The system has been implemented at a semiconductor back-end site. The impact of the system includes the achievement of world class cycle time, improved machine utilization, reduction in the time that planners and manufacturing personnel spend on scheduling, and more predictable and highly repeatable manufacturing performance.In addition it enables managers and senior planners to carry out "what if" analysis to plan for future.

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Initializing on-line simulations from the state of a distributed system

Cited by 9 publications

References 5 publications

Proposal of an Approach to Automate the Generation of a Transitic System's Observer and Decision Support using Model Driven Engineering

Proposal of an Approach to Automate the Generation of a Transitic System's Observer and Decision Support using Model Driven Engineering

Conjunctive simulated scheduling

Optimization of a cycle time and utilization in semiconductor test manufacturing using simulation based, on-line, near-real-time scheduling system

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