Integrated group technology, cell formation, process planning, and production planning with application to the emergency room

2004 ◽  
Vol 42 (9) ◽  
pp. 1769-1786 ◽  
Author(s):  
Behnam Malakooti ◽  
Nima R. Malakooti ◽  
Ziyong Yang
Keyword(s):  
Emergency Room ◽  
Production Planning ◽  
Process Planning ◽  
Formation Process ◽  
Group Technology ◽  
Cell Formation

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).

Fractional cell formation in group technology

1995 ◽  
Vol 33 (5) ◽  
pp. 1323-1337 ◽  
Author(s):  
Ch. V. R. MURTHY ◽  
G. SRINIVASAN
Keyword(s):  
Group Technology ◽  
Cell Formation ◽  
Fractional Cell

Manufacturing and Fractional Cell Formation Using a New Binary Digit Grouping Algorithm with a Pwavroid Solution Explorer Toolkit

2014 ◽  
Vol 933 ◽  
pp. 97-105
Author(s):  
Hassan Mroue ◽  
Thien My Dao
Keyword(s):  
Group Technology ◽  
Cell Formation ◽  
Optimal Solution ◽  
Binary Digit ◽  
Final Solution ◽  
Manufacturing Cells ◽  
Additional Cell ◽  
Exceptional Elements ◽  
Grouping Algorithm ◽  
Fractional Cell

A new algorithm is presented in order to search for the optimal solution of the manufacturing and fractional cell formation problem. In addition, this paper introduces a new toolkit, which is used to search for the various candidate solutions in a periodic and a waving (diversified) manner. The toolkit consists of 15 tools that play a major role in speeding up the obtainment of the final solution as well as in increasing its efficiency. The application of the binary digit grouping algorithm leads to the creation of manufacturing cells according to the concept of group technology. The nonzero entries, which remain outside the manufacturing cells, are called exceptional elements. When a lot of such elements is obtained, an additional cell called fractional (or remainder) cell may be formed; the aim of which is to reduce their number. This algorithm was tested by using illustrative examples taken from the literature and succeeded to give better or at least similar results when compared to those of other well-known algorithms.

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.

scholarly journals A multi-criteria tabu search approach to cell formation problems in group technology with multiple objectives

1994 ◽  
Vol 28 (3) ◽  
pp. 303-328 ◽  
Author(s):  
A. Hertz ◽  
B. Jaumard ◽  
C. C. Ribeiro ◽  
W. P. Formosinho Filho
Keyword(s):  
Tabu Search ◽  
Group Technology ◽  
Cell Formation ◽  
Multiple Objectives ◽  
Search Approach
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