DESIGN OF A KNOWLEDGE-BASED ON-LINE SIMULATION SYSTEM TO CONTROL A MANUFACTURING SHOP FLOOR

1992 ◽  
Vol 24 (3) ◽  
pp. 72-83 ◽  
Author(s):  
S. MANIV ANNAN ◽  
JERRY BANKS
Keyword(s):  
Simulation System ◽  
Shop Floor ◽  
Knowledge Based ◽  
On Line

Computer Integrated Ship Production

1997 ◽  
Vol 13 (03) ◽  
pp. 215-223
Author(s):  
Einar Pedersen ◽  
John Fredrik Hatling
Keyword(s):  
Computer Integrated Manufacturing ◽  
Planning System ◽  
Quality Data ◽  
Shop Floor ◽  
Just In Time ◽  
Line Production ◽  
Control Programs ◽  
Organizational Issues ◽  
On Line ◽  
Data Files

Wider exploitation of computer integrated manufacturing (CIM) in shipbuilding is inevitable as yards seek continuing improvements in productivity and quality to sharpen competitiveness. The buzz word CIM has been used in many ways through the years. The correct interpretation may be the integration of all computer systems directly supporting the definition and production of the ship. This comprises CAD and also administrative systems such as planning and material control programs. CIM in this paper is defined as optimal utilization of CAD data and planning data in shop floor production, including feedback to the planning system and accumulation of quality data. The paper defines the state-of-the-art of CIM solutions at shipyards, and outlines a case study of one larger CIM installation. The case presented shows the structure of one installed system, and outlines the experience gained through planning, preparation and installation of the system. The case also includes cost budgets for the installation, including necessary training for planners and operators. Important organizational issues when planning the structure of CIM based production is described in the case. Terms such as Central Work Preparation and Local Work Preparation are introduced. The tasks performed in each area that add value to the CIM data files are described. At the end of the paper, the authors have outlined some future thoughts on further developments of CIM at shipyards. Important issues are, e.g., on-line production simulation systems capable of constantly updating the planning system in order to ensure the highest possible productivity and to support just in time (JIT) philosophies in all areas of the production.

An Approach to Identifying Meaningful Action Patterns in Student-Tutor Interactions

1993 ◽  
Vol 37 (18) ◽  
pp. 1281-1285
Author(s):  
Anna L. Rowe ◽  
Nancy J. Cooke
Keyword(s):  
Intelligent Tutoring Systems ◽  
Scoring Method ◽  
Tutoring Systems ◽  
Knowledge Based ◽  
Scaling Procedure ◽  
Student Tutor ◽  
On Line ◽  
Pathfinder Network ◽  
Network Patterns ◽  
Initial Research

Part of the success of computerized intelligent tutoring systems will be associated with their ability to assess and diagnose students' knowledge in order to direct pedagogical interventions. What is needed is a methodology for identifying general relationships between on-line action patterns and patterns of knowledge derived off-line. Such a methodology would allow an assessment and diagnosis of knowledge, based only on student actions. The focus of this initial research is the development of a means of identifying meaningful action patterns in student-tutor interactions. Actions executed by subjects on a set of verbal troubleshooting tests (Nichols et al., 1989) were summarized using the Pathfinder network scaling procedure (Schvaneveldt, 1990). The results obtained from this work indicate that meaningful patterns of actions can be identified using the Pathfinder procedure. The network patterns are meaningful in the sense that they can differentiate high and low performers as defined by a previous scoring method. In addition, the networks reveal differences between high and low performers suggestive of targets for intervention.

Hierarchical Database Model for Querying Economic Network Independence Distribution

2011 ◽  
Vol 3 (3) ◽  
pp. 58-67
Author(s):  
Akinwale Adio Taofiki
Keyword(s):  
Physical World ◽  
Shop Floor ◽  
The Internet ◽  
Database Model ◽  
N Level ◽  
Physical Barriers ◽  
On Line ◽  
Level Cluster ◽  
User Friendly ◽  
Order Algorithm

The development of the internet has been triggering numerous mutations in the visualization of actors in economic network independence distribution (ENID) of goods. ENID overcomes the physical barriers of shop-floor space so unprecedented variety of products could be offered to the customers. Avoidance of expensive trade space allows suppliers to reduce price compared to those in the physical world. User friendly and easy contact with the supplier of the goods make shopping very convenient. Despite these advantages of ENID, there is a need to develop better theories about how this system should behave in order to protect participants’ interests. This work employed hierarchical database model using B-tree and pre-order algorithm to insert and traverse participant records for easy processing. N-level models were adopted to calculate each level and sub-level cluster commission. The implementation was carried out using C# and sql. The application of the model permits the participants to query any information about ENID for on line real time decision makings.

Question Answering

2012 ◽  
Author(s):  
Sanda Harabagiu ◽  
Dan Moldovan
Keyword(s):  
Language Processing ◽  
Question Answering ◽  
Document Retrieval ◽  
Semantic Features ◽  
Knowledge Based ◽  
Answer Extraction ◽  
Small Set ◽  
Processing Module ◽  
On Line ◽  
Processing Techniques

Textual Question Answering (QA) identifies the answer to a question in large collections of on-line documents. By providing a small set of exact answers to questions, QA takes a step closer to information retrieval rather than document retrieval. A QA system comprises three modules: a question-processing module, a document-processing module, and an answer extraction and formulation module. Questions may be asked about any topic, in contrast with Information Extraction (IE), which identifies textual information relevant only to a predefined set of events and entities. The natural language processing (NLP) techniques used in open-domain QA systems may range from simple lexical and semantic disambiguation of question stems to complex processing that combines syntactic and semantic features of the questions with pragmatic information derived from the context of candidate answers. This article reviews current research in integrating knowledge-based NLP methods with shallow processing techniques for QA.

Ethernet-Based Intelligent Switching of Controllers for Performance Improvement in an Industrial Plant

2003 ◽  
Author(s):  
P. L. Tang ◽  
C. W. de Silva
Keyword(s):  
Performance Metrics ◽  
Intelligent System ◽  
Adaptive Controller ◽  
Industrial Plant ◽  
Fish Processing ◽  
Adaptive Controllers ◽  
Processing Machine ◽  
Knowledge Based ◽  
On Line ◽  
Proper Design

This paper presents an Ethernet-based intelligent system for remote switching of the controllers of an industrial plant with the objective of on-line improvement of the performance of the plant. The plant considered in the present paper is an industrial fish-processing machine, which operates using one of several adaptive controllers. The scheme utilizes a remote supervisor, which incorporates knowledge-based decision making to continuously monitor the performance of the plant. The performance metrics deduced from the observations are then used to infer the best adaptive controller for the plant under the existing conditions. A knowledge-based system that incorporates both human expertise and analytical knowledge regarding the plant and the controllers is developed. The proposed intelligent switching is implemented in real-time for controlling the hydraulic-actuated cutter of the fish-processing machine. A client/server supervisory control architecture for remote networked-based controller switching is developed. Switching has to be done in such a manner that the transition from one controller to another takes place in a smooth manner. Proper design of the intelligent switching system is key to achieving this objective.

A knowledge-based approach to the deflocculation problem: integrating on-line, off-line, and heuristic information

2003 ◽  
Vol 37 (10) ◽  
pp. 2377-2387 ◽  
Author(s):  
J Comas ◽  
I Rodrı́guez-Roda ◽  
M Sànchez-Marrè ◽  
U Cortés ◽  
A Freixó ◽  
...  
Keyword(s):  
Knowledge Based ◽  
Heuristic Information ◽  
On Line

Dynamic On-Line Control of Stainless Steel Making in AOD

2013 ◽  
Vol 794 ◽  
pp. 50-62
Author(s):  
Bahma Deo ◽  
Satish Kumar
Keyword(s):  
Control System ◽  
Heat Balance ◽  
Dynamic Models ◽  
Dynamic Control ◽  
Shop Floor ◽  
Dynamic Adjustment ◽  
Reduction Stage ◽  
Model Based ◽  
Level Ii ◽  
On Line

A new dynamic control model based on simultaneous mass transfer of C, Cr, and Mn and dynamic heat balance is developed. It allows dynamic adjustment of argon-oxygen ratio. The model is implemented through Level II control system. The total operating period of one heat is divided into five different stages: charge calculation, first blow period, second blow period, third blow period and, lastly, the reduction stage. The charge calculation model, based on heat balance, mass balance and the costs decided the optimum charge mix to start with. Both linear and non-linear regression models are used to predict the temperature and composition of bath at the end of first blow period. The second blow and the third blow periods use the dynamic models for predicting the chemical composition and temperature. In the model for reduction stage (final stage) the amount of reduction mixture is determined for obtaining maximum recovery of Cr and Mn from slag. On-line testing of the dynamic models was carried out on the shop floor. The integration of models with the Level II control system using Supervisory Control and Data Acquisition System (SCADA) are discussed. User friendly HMI are developed such that the operators can easily use it during the regular operation on shop-floor. This is the first time that a full dynamic control system was implemented in India for the AOD process.

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