NONSTOP MILITARY PRODUCTION LINE

2021 ◽  
Vol 73 (045-046) ◽  
pp. 11-13
Author(s):  
Aleksandr Golts
Keyword(s):  
Production Line ◽  
Military Production

Continuous automatic production line for porcelain plates

1969 ◽  
Vol 26 (6) ◽  
pp. 356-357
Author(s):  
I. I. Moroz ◽  
M. G. Sivchikova ◽  
G. G. Sarkisov ◽  
L. L. Oleinik
Keyword(s):  
Production Line ◽  
Automatic Production ◽  
Automatic Production Line

Layout design of a mixed-flow production line based on processing energy consumption and buffer configuration

2021 ◽  
Author(s):  
Cai-Xia Zhang ◽  
Shu-Lin Dong ◽  
Hong-Yan Chu ◽  
Guo-Zhi Ding ◽  
Zhi-Feng Liu ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Production Line ◽  
Layout Design ◽  
Mixed Flow ◽  
Processing Energy

Identifying management practices that drive production-line workers’ engagement through qualitative analysis

2021 ◽  
Author(s):  
Franziska Homann ◽  
Caroline Limbert ◽  
Simon Matthews ◽  
Darren Castaldi ◽  
Peter Sykes
Keyword(s):  
Qualitative Analysis ◽  
Production Line ◽  
Management Practices

scholarly journals Redesign of facility layout to reduce the production line distance in MSE Silver 999 Malang

2021 ◽  
Vol 1034 (1) ◽  
pp. 012124
Author(s):  
Mochammad Rofieq ◽  
Ken Erliana ◽  
Ni Made Wiati ◽  
Samsudin Hariyanto
Keyword(s):  
Production Line ◽  
Facility Layout

PERFORMANCE EVALUATION OF GENETIC DISTRIBUTED FUZZY CONTROLLERS FOR MULTI-PART-TYPE PRODUCTION LINE

2007 ◽  
Vol 06 (02) ◽  
pp. 115-128
Author(s):  
SEYED MAHDI HOMAYOUNI ◽  
TANG SAI HONG ◽  
NAPSIAH ISMAIL
Keyword(s):  
Genetic Algorithm ◽  
Performance Evaluation ◽  
Objective Function ◽  
Production Rate ◽  
Production Line ◽  
Production Systems ◽  
Membership Functions ◽  
Part Type ◽  
High Penalty ◽  
Single Part

Genetic distributed fuzzy (GDF) controllers are proposed for multi-part-type production line. These production systems can produce more than one part type. For these systems, "production rate" and "priority of production" for each part type is determined by production controllers. The GDF controllers have already been applied to single-part-type production systems. The methodology is illustrated and evaluated using a two-part-type production line. For these controllers, genetic algorithm (GA) is used to tune the membership functions (MFs) of GDF. The objective function of the GDF controllers minimizes the surplus level in production line. The results show that GDF controllers can improve the performance of production systems. GDF controllers show their abilities in reducing the backlog level. In production systems in which the backlog has a high penalty or is not allowed, the implementation of GDF controllers is advisable.

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