Research in object-oriented manufacturing simulations: an assessment of the state of the art∗

Narayanan, S.; Bodner, Douglas A.; Sreekanth, U.; Govindaraj, T.; McGinnis, Leon F.; Mitchell, Christine

doi:10.1080/07408179808966526

Cited by 44 publications

(22 citation statements)

References 32 publications

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“…First, the simulation objects should have a direct correspondence to the resources, material, and control processes in the airbase logistics domain. Object-oriented programming (OOP) enables a developer to build software abstractions in simulations that have a direct correspondence with real world objects (Narayanan et al, 1996). In our architecture, we exploited the natural mapping and modularity features of OOP and developed a large number of Java classes such as Aircraft, Hangar, Spares, and Equipment that have a direct mapping to real world entities and logistic processes.…”

Section: Simulatormentioning

confidence: 99%

“…Modular design, software reusability, potential for natural mappings, and compatibility between the OOP paradigm and the discrete-event world view formalism are primary reasons for this interest. BLOCS/M (Adiga & Glassey, 1991), DEVS (Zeigler, 1991), OOSIM (Narayanan et al, 1992(Narayanan et al, , 1996, and OSU-CIM (Mize et al, 1992) are examples of . ii,,.iMii..y..viW,:,.;t.Wiii.ii.iiMiiimi.,.,!…”

Section: Object-based Simulationsmentioning

confidence: 99%

“…The simulator in the interactive analyzer component contains objects to develop graphical user interfaces in addition to objects for simulating sys- . While object-oriented programming offers many advantages for simulation modeling in terms of modularity, software reuse, and natural mapping with real world entities (Narayanan et al, 1996), their application to developing interactive simulations has not been widespread (Bell, 1991). The software to display the simulation model and to facilitate user interaction are often embedded in the simulation model.…”

Section: ■ Simentioning

confidence: 99%

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Integrating Object-Oriented Simulation and Interactive Optimization Methods for Logistics Systems Analysis

Narayanan¹,

Patel²,

Schneider³

et al. 1997

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REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. AFRL-HE-WP-TR-2000-0110 SUPPLEMENTARY NOTES 12a. DISTRIBUTION AVAILABILITY STATEMENTApproved for public release; distribution is unlimited. 12b. DISTRIBUTION CODE ABSTRACT (Maximum 200 words)User interfaces in interactive simulations convey the dynamic behavior of the modeled system and allow the analyst to interacl with the executing simulation. Traditionally, the software to display the system behavior and to facilitate user interaction has been embedded in the simulation model. Such tight integrations make it difficult to maintain large simulations and impose unnecessary limitations on the development of interfaces to a simulation model. This report presents a portable, object-based architecture, called JADIS (Java-based Architecture for Developing Interactive Simulations), for developing interactive simulations. The architecture is implemented in Java and applied the Model View-Controller paradigm to the development of interactive simulations. In JADIS, the simulation model and its user interfaces are distinct processes that execute concurrently. JADIS integrates concepts from object-oriented programming, concurrent, distributed processing, and human factors interface design in developing interactive simulations. This report describes the JADIS architecture and presents its application to an aircraft repair time analysis problem in the domain of airbase logistics.

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Section: Simulatormentioning

confidence: 99%

Section: Object-based Simulationsmentioning

confidence: 99%

Section: ■ Simentioning

confidence: 99%

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Integrating Object-Oriented Simulation and Interactive Optimization Methods for Logistics Systems Analysis

Narayanan¹,

Patel²,

Schneider³

et al. 1997

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“…First, we exploited the capability of natural mapping and modularity features of object-oriented programming. Through object-oriented programming it is possible to develop software abstractions that have a direct correspondence with real world objects (Narayanan et al, 1996). Objects can also be reused through inheritance.…”

Section: Application To Airbase Logisticsmentioning

confidence: 99%

“…Developmental interest has moved towards C and recently towards object-oriented languages (e.g., ProfiSEE in Smalltalk-80 [Vaessen, 1989]). While object-oriented programming offers many advantages for simulation modeling in terms of modularity, software reuse, and natural mapping with real world entities (Narayanan et al, 1996), their application to developing interactive simulations has been only explored in a limited way (Bell, 1991). The software to display the simulation model and to facilitate user interaction are embedded in the simulation model.…”

Section: -3mentioning

confidence: 99%

Summer Research Program - 1996 Graduate Student Research Program. Volume 7B, Armstrong Laboratory

Moore¹

1996

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Public reporting burden for this collection of information is estimated to average 1 hour p& response, including the time for reviewing instructions, sean the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including sugge Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arington, VA 22202-4302, and to the Office of Management and Budget, Paper

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Flexible Semiconductor Manufacturing

Bodner

Reveliotis

Billings

1999

Wiley Encyclopedia of Electrical and Electronics Engineering

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Research in object-oriented manufacturing simulations: an assessment of the state of the art∗

Cited by 44 publications

References 32 publications

Integrating Object-Oriented Simulation and Interactive Optimization Methods for Logistics Systems Analysis

Integrating Object-Oriented Simulation and Interactive Optimization Methods for Logistics Systems Analysis

Summer Research Program - 1996 Graduate Student Research Program. Volume 7B, Armstrong Laboratory

Flexible Semiconductor Manufacturing

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