Ontological Knowledge Representation and Inference Rules for MTM Decision Support System

2014 ◽  
Author(s):  
Rahul Renu ◽  
Gregory Mocko
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Knowledge Representation ◽  
Support System ◽  
Time Estimation ◽  
Time Measurement ◽  
Inference Rules ◽  
Assembly Time ◽  
Time Estimates ◽  
Definition Of

The objective of the research presented is to develop and implement an ontological knowledge representation for Methods-Time Measurement assembly time estimation process. The knowledge representation is used to drive a decision support system that provides the user with intelligent MTM table suggestions based on assembly work instructions. Inference rules are used to map work instructions to MTM tables. An explicit definition of the assembly time estimation domain is required. The contribution of this research, in addition to the decision support system, is an extensible knowledge representation that models work instructions, MTM tables and mapping rules between the two which will enable the establishment of assembly time estimates. Further, the ontology provides an extensible knowledge representation framework for linking time studies and assembly processes.

A Decision Support System for Containership Stowage Planning

1989 ◽  
Vol 26 (01) ◽  
pp. 47-61
Author(s):  
D. J. Saginaw ◽  
A. N. Perakis
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Interactive Graphics ◽  
Maritime Industry ◽  
Automate Data ◽  
Plan Generation ◽  
Stowage Planning ◽  
Definition Of ◽  
Stowage Plan

The results of a project intending to design and develop a microcomputer-based, interactive graphics decision support system for containership stowage planning are presented. The objective was to create a working prototype that would automate data management tasks and provide computational capabilities to allow the stowage planner to continuously assess vessel trim, stability, and strength characteristics. The paper provides a complete description of the decision support system developed to meet this objective, including a definition of the containership stowage problem, and details on the design and development of the Automated Stowage Plan Generation Routine (ASPGR). The paper concludes with a discussion of issues relevant to the implementation of the system in the maritime industry.

Application of Psychological Principles to Decision Support System Design: An Overview

1983 ◽  
Vol 27 (6) ◽  
pp. 479-481 ◽  
Author(s):  
Ruth H. Phelps
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
System Design ◽  
Support System ◽  
Support Systems ◽  
Psychological Perspective ◽  
Behavioral Decision ◽  
Definition Of

The Behavioral Decision Making session will focus on the application of psychological principles to the design of decision support systems. In this overview the definition of a decision support system and a psychological perspective are described.

scholarly journals Enhancing the Efficiency of a Decision Support System through the Clustering of Complex Rule-Based Knowledge Bases and Modification of the Inference Algorithm

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Agnieszka Nowak-Brzezińska
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Knowledge Representation ◽  
Knowledge Base ◽  
Support System ◽  
Inference Algorithm ◽  
Rule Based ◽  
New Knowledge ◽  
The Impact ◽  
Base Structure

Decision support systems founded on rule-based knowledge representation should be equipped with rule management mechanisms. Effective exploration of new knowledge in every domain of human life requires new algorithms of knowledge organization and a thorough search of the created data structures. In this work, the author introduces an optimization of both the knowledge base structure and the inference algorithm. Hence, a new, hierarchically organized knowledge base structure is proposed as it draws on the cluster analysis method and a new forward-chaining inference algorithm which searches only the so-called representatives of rule clusters. Making use of the similarity approach, the algorithm tries to discover new facts (new knowledge) from rules and facts already known. The author defines and analyses four various representative generation methods for rule clusters. Experimental results contain the analysis of the impact of the proposed methods on the efficiency of a decision support system with such knowledge representation. In order to do this, four representative generation methods and various types of clustering parameters (similarity measure, clustering methods, etc.) were examined. As can be seen, the proposed modification of both the structure of knowledge base and the inference algorithm has yielded satisfactory results.

Building the Mobility Aircraft Availability Forecasting (MAAF) Simulation Model and Decision Support System

2005 ◽  
Vol 2 (2) ◽  
pp. 57-69 ◽  
Author(s):  
Frank W. Ciarallo ◽  
Raymond R. Hill ◽  
Sriram Mahadevan ◽  
Vikrant Chopra ◽  
Patrick J. Vincent ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
The United States ◽  
Limiting Factors ◽  
Mobility Modeling ◽  
Concept Model ◽  
Prototype Development ◽  
Mobility System ◽  
Definition Of

The Mobility Aircraft Availability Forecasting (MAAF) model prototype development and study effort was initiated to help the United States Air Force Air Mobility Command (AMC) answer the question, “How can we accurately predict mission capable (MC) rates?” While perfect prediction of aircraft MC rates is not possible, we investigate a simulation-based risk analysis approach. Current prediction methods utilize “after the fact” analyses and user opinion, making it difficult to perform quick, accurate, and effective analyses of potential limiting factors and policy changes, particularly in time-sensitive situations. This paper describes the MAAF proof-of-concept model and decision support system built to provide AMC managers the dynamic, predictive tools needed to better forecast aircraft availability. The simulation component featured new capabilities for mobility modeling to include dynamic definition of the configuration of a mobility system, dynamic definition of the capabilities of the individual airbases within a mobility system, improved representation of the aircraft objects within the model, and a new approach to modeling aircraft maintenance including the realistic consideration of partially mission capable aircraft. The development efforts and sample experimental results are recounted in this paper.

scholarly journals The HealthAgents ontology: knowledge representation in a distributed decision support system for brain tumours

2011 ◽  
Vol 26 (3) ◽  
pp. 303-328 ◽  
Author(s):  
Bo Hu ◽  
Madalina Croitoru ◽  
Roman Roset ◽  
David Dupplaw ◽  
Miguel Lurgi ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Knowledge Representation ◽  
Brain Tumour ◽  
Support System ◽  
Brain Tumours ◽  
Data Access ◽  
Tumour Diagnosis ◽  
Brain Tumour Diagnosis ◽  
Distributed Decision

AbstractIn this paper we present our experience of representing the knowledge behind HealthAgents (HA), a distributed decision support system for brain tumour diagnosis. Our initial motivation came from the distributed nature of the information involved in the system and has been enriched by clinicians’ requirements and data access restrictions. We present in detail the steps we have taken towards building our ontology starting from knowledge acquisition to data access and reasoning. We motivate our representational choices and show our results using domain examples used by clinical partners in HA.

Decision Support System Design Requirements, Information Management, and Urban Logistics Efficiency

2020 ◽  
pp. 565-581
Author(s):  
Jairo Enrique Parra Herrera ◽  
Laura Vanessa Palacios Argüello ◽  
Jesus Gonzalez-Feliu ◽  
Wilson Adarme Jaimes
Keyword(s):  
Latin America ◽  
Decision Support ◽  
Literature Review ◽  
Decision Support System ◽  
Information Management ◽  
Support System ◽  
Requirements Definition ◽  
Loading And Unloading ◽  
Design Requirements ◽  
Definition Of

The aim of this chapter is to define the requirements for the design of a Decision Support System (DSS), in order to address the problems associated with loading and unloading of goods operations in Bogotá, Colombia. The requirements definition is based on information obtained from the project “Formulación de alternativas para el cargue y descargue de mercancías en Bogotá” developed by the Universidad Nacional de Colombia. We present a literature review concerning with the relevance of developments and application of this kind of systems in cities such as Bogotá, regarded by some authors as a megacity in Latin America. The definition of the design requirements of the system is rooted in the identified needs of the stakeholders involved in urban logistics operations with the aim of encompassing and providing reliable information that favors the design of a DSS adapted to identified conditions.

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