Development of a Knowledge-Based Model Management System

Liang, Ting‐Peng

doi:10.1287/opre.36.6.849

Cited by 98 publications

(12 citation statements)

References 17 publications

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“…Model composition has been addressed recently in Chari (2002Chari ( , 2003 with a focus on managing the model composition search space by using logical constraints called filter spaces. Knowledge-based approaches for composition include the use of logical inference (Bonczek, Holsapple, & Whinston, 1981), case-based reasoning (Liang, 1988;Liang & Konsynski, 1993) and blackboard systems (Mookerjee & Chaturvedi, 1993). Techniques based on developing meta-linguistic abstractions include the embedded languages approach (Bhargava & Kimbrough, 1993), graph-based structured modeling (Chari & Sen, 1997, Geoffrion, 1992a, 1992b and object-oriented systems methodologies (Ma, 1995;Muhanna & Pick, 1994;Muhanna, 1993).…”

Section: Literature Survey and Backgroundmentioning

confidence: 99%

A web services framework for distributed model management

Madhusudan

2006

Inf Syst Front

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Distributed model management aims to support the wide-spread sharing and usage of decision support models. Web services is a promising technology for supporting distributed model management activities such as model creation and delivery, model composition, model execution and model maintenance to fulfill dynamic decision-support and problem solving requests. We propose a web services based framework for model management (called MM-WS) to support various activities of the model management life cycle. The framework is based on the recently proposed Integrated Service Planning and Execution (ISP & E) approach for web services integration. We discuss encoding of domain knowledge (as individual models) and utilize the MM-WS framework to interleave synthesis of composite models with their execution. A prototypical implementation with an example is used to illustrate the utility of the framework to enable distributed model management and knowledge integration. Benefits and issues of using the framework to support model-based decision-making in organizational contexts are outlined.

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Section: Literature Survey and Backgroundmentioning

confidence: 99%

A web services framework for distributed model management

Madhusudan

2006

Inf Syst Front

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“…A MMS is generally defined as a computer-based means that facilitates the development, storage, manipulation, control and effective utilization of models in an organization, as well to facilitate analysis [LiaT88], [ChaA93], [MuhW93]. Like data, models need to be managed.…”

Section: Definition Of Model Management Systemmentioning

confidence: 99%

Pathfinder 2: In Situ Design Cost Trades (IDCT) Tool

Greenwood¹

2003

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The public 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, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Department of Defense, Washington Headquarters Services, Directorate for Information , 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YY)2. REPORT TYPE 3. DATES COVERED (From -To) SPONSORING/MONITORING AGENCY ACRONYM(S)AFRL/MLMT SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) Materials and Manufacturing Directorate Air Force Research Laboratory Air Force Materiel CommandWright-Patterson AFB, OH 45433-7750 SPONSORING/MONITORING AGENCY REPORT NUMBER(S) AFRL-ML-WP-TR-2003-4116 DISTRIBUTION/AVAILABILITY STATEMENTApproved for public release; distribution is unlimited. SUPPLEMENTARY NOTESReport contains color. ABSTRACTThe integration of cost evaluations into the design process, i.e., making them in situ, requires a strategic cost evaluation framework. This framework must address three key components: (1) the processes by which design and cost evaluations are performed, (2) the methodologies/technologies (M/T) that are needed in order to effectively carry out these processes, and more specifically, (3) the way cost models are used, reused, and managed. In order to design in affordability early in design, engineering tools, including cost assessment tools, must be integrated into the design process and interact with tools that support other types of, but related, analyses. Insertion of these technologies requires an understanding of the design, requirements, and cost-estimation processes. Therefore, definition of these key processes, and the relationships among the processes, are essential for defining and developing an integrated support tool to enhance these processes. There are many M/T available and being developed to support cost evaluations during design; however, they are not a part of an overall strategy or plan that considers the needs and requirements of the design trade study process and the relationships among the M/T. Models are an important element in cost estimating; they transform parameters and design variables into estimates of cost performance and risk. .6.4 CRT Operations and Interfaces ............................................................................................ 39 1.6.5 Output / Performance Measures ...........................................................................................

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“…Model management systems offer a potential framework to help solve the modeling and implementation problem (Bonczek et al, 1980;Sprague and Carlson, 1982;Dolk and Konsynski, 1984;Liang, 1985Liang, , 1988Balci, 1986;Blanning, 1986Blanning, , 1989Blanning, , 1991Dolk, 1986aDolk, , 1986bKonsynski and Sprague, 1986;Holsapple and Whinston, 1988;Jarke and Radermacher, 1988;Shaw et al, 1988;d'Alessandro et al, 1989;Muhanna, 1990;Hong and Vogel, 1991;and Pakath and Rao, 1991).…”

Section: Flexible Automation Investment: Modeling and Implementation mentioning

confidence: 99%

Evaluation of flexible automation investments: a model management perspective

Rao

Sherman

1993

J Intell Manuf

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This paper develops a model management system structure to support the design and evaluation of flexible automation systems. A modeling language suitable for one of the important, but ill-structured phases in the evaluation process is selected and used to represent a mathematical programming formulation. The experience gained is then used to propose a meta-language approach for integrating different model types required when evaluating flexible automation investments.

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Development of a Knowledge-Based Model Management System

Cited by 98 publications

References 17 publications

A web services framework for distributed model management

A web services framework for distributed model management

Pathfinder 2: In Situ Design Cost Trades (IDCT) Tool

Evaluation of flexible automation investments: a model management perspective

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