Process Planning for Group Technology

1985 ◽  
pp. 21-28
Author(s):  
Inyong Ham ◽  
Katsundo Hitomi ◽  
Teruhiko Yoshida
Keyword(s):  
Process Planning ◽  
Group Technology

Computer-Aided Process Planning: A Path to Just-in-Time Manufacturing for Shipyards

1988 ◽  
Vol 4 (03) ◽  
pp. 197-215
Author(s):  
Richard L. DeVries
Keyword(s):  
Real Time ◽  
Process Planning ◽  
Group Technology ◽  
Shop Floor ◽  
Just In Time ◽  
Time Data ◽  
Computer Aided Process Planning ◽  
Computer Aided ◽  
Time Basis ◽  
Manufacturing Data

The use of computers to improve the productivity of U.S. shipyards has never been as successful as hoped for by the designers. Many applications were simply the conversion of an existing process to a computerized process. The manufacturing database required for the successful application of computer-aided process planning (CAPP) to the shipyard environment requires a "back-to-basics" approach, one that can lead to control of the processes occurring in the fabrication and assembly shops of a shipyard. The manufacturing database will not provide management feedback designed for the financial segment of the shipyard (although it can be converted to be fully applicable): it provides "real-time" manufacturing data that the shop floor manager can utilize in his day-to-day decisions, not historical data on how his shop did last week or last month. The computer is only a tool to be used to organize the mountains of manufacturing data into useful information for today's shop manager on a "real time" basis. The use of group technology to collect similar products, the use of parameters to clearly identify work content, the use of real-time efficiency rates to project capacity and realistic schedules, and the use of bar codes to input "real time" data are all tools that are part of the process—tools for the shop floor manager of tomorrow.

The application of a knowledge-based clustering algorithm as an aid to probe selection and inspection process planning

1998 ◽  
Vol 212 (4) ◽  
pp. 299-305 ◽  
Author(s):  
A Ajmal ◽  
S G Zhang
Keyword(s):  
Process Planning ◽  
Incidence Matrix ◽  
Clustering Algorithm ◽  
Group Technology ◽  
Cell Formation ◽  
Inspection Planning ◽  
Knowledge Based ◽  
Probe Selection ◽  
Inspection Process ◽  
Probe Calibration

This paper outlines the development of a clustering algorithm used for inspection planning which allows each inspection feature to be inspected at a designated cell. This is achieved by grouping (a) inspection features into feature families and (b) probe orientations into probe cells. This would result in minimal probe calibration errors and part installation errors for the relative tolerance features. This procedure would reduce the time for probe exchange and reinstallation of parts. An incidence matrix representation has been developed to represent the relationship between inspection features and their relative probe orientations. The incidence matrix which is used for grouping feature families and probe cells are similar in function to the concept of group technology (GT) as used in machine cell formation. The knowledge-based clustering algorithm possesses the flexibility for consideration of multiple constraints for grouping probe cells and feature families. The application of the developed clustering algorithm satisfies the requirement of the inspection feature grouping and provides efficiency and effectiveness in probe selection and inspection process planning for coordinate measuring machines (CMMs).

Integrated Process Planning Based on 3D Product Models

2009 ◽  
Vol 407-408 ◽  
pp. 298-302 ◽  
Author(s):  
Li Hong Qiao ◽  
Jin Zhang
Keyword(s):  
Process Planning ◽  
Group Technology ◽  
Product Information ◽  
Information Source ◽  
Planning System ◽  
Integrated Process ◽  
Product Model ◽  
Application Systems ◽  
Product Models ◽  
Feature Based

One of the major barriers to the integration of CAD, CAPP and CAM is insufficiency and incompatibility of product model data among various application systems. This paper presented an effective approach to achieve integrated process planning with CAD and CAM under a product data management environment based on 3D product models. The system architecture and the processes of an integrated process planning system (3D-IPP) were constructed using feature information and specific CAD/CAPP/CAM integration technologies based on feature. A feature-based product information model is designed as the information source for the 3D-IPP. A feature-based integrated process planning method was developed based on group technology, intelligent decision-making algorithms and parametric operation templates in numerically controlled (NC) programming. The procedures of intelligent process route planning and parametric NC operation planning were addressed. The 3D-IPP system and its implementation provide an effective solution to strive for complete information sharing among application systems of CAD, CAPP and CAM.

The Coding System for Automatic Injection Mold Integrated CAD/CAPP

2010 ◽  
Vol 97-101 ◽  
pp. 3413-3417 ◽  
Author(s):  
Li Li Wang ◽  
Kai Ling Li ◽  
Chang Ji Liang
Keyword(s):  
Process Planning ◽  
Group Technology ◽  
Injection Mold ◽  
Coding System ◽  
Time To Market ◽  
Classification Code ◽  
Code Structure ◽  
Efficiency Improve ◽  
Improve Mold ◽  
Mold Quality

Based on the Group Technology and according to the function, structure and manufacturing process of the injection mold, a classification and coding system for injection mold is developed specially. The system is mainly centre around the classification, code structure and the way of the coding, by which the information description and transmission between CAD and CAPP becomes unblocked, the mold CAD/CAPP integration and automation in design and process comes true. It is supposed to help reduce the time in process planning, increase plan consistency and efficiency, improve mold quality and minimize the time-to-market for the mold products.

DESIGN, DEVELOPMENT AND IMPLEMENTATION OF AN INTEGRATED GROUP TECHNOLOGY AND COMPUTER AIDED PROCESS PLANNING SYSTEM

1994 ◽  
Vol 26 (4) ◽  
pp. 2-18 ◽  
Author(s):  
SANJAY B. JOSHI ◽  
WALTER C. HOBERECHT ◽  
JASON LEE ◽  
RICHARD A. WYSK ◽  
DEAN C. BARRICK
Keyword(s):  
Process Planning ◽  
Group Technology ◽  
Planning System ◽  
Design Development ◽  
Computer Aided Process Planning ◽  
Process Planning System ◽  
Computer Aided
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