A Planning Approach Based on APTL

2020 ◽  
pp. 113-122
Author(s):  
Haiyang Wang ◽  
Yao Liu
Keyword(s):  
Planning Approach

ATTITUDE AND PERCEPTION OF EMPLOYEES TOWARDS TRAINING AND DEVELOPMENT IN MANUFACTURING INDUSTRIES

2018 ◽  
Vol 6 (26) ◽  
Author(s):  
Shweta Gaikwad ◽  
Arun Ingle Gaikwad
Keyword(s):  
Systematic Approach ◽  
Training And Development ◽  
Manufacturing Industries ◽  
Development Programs ◽  
Development System ◽  
Planning Approach

Training and Development is one of the crucial differentiator for business especially manufacturing industries. The training and development system in manufacturing industries in Ahmednagar as needs a systematic overhaul. The present training and development programs lack a systematic approach especially in regards to design and planning approach. If the testimony of the employees is to be believed then manufacturing industries lack a clear policy of training and development and seldom are employees deputed to external organizations. The attitudes towards training are influenced due to individual and institutional attributes

scholarly journals Adapting process models via an automated planning approach

2020 ◽  
Vol 29 (4) ◽  
pp. 223-259
Author(s):  
Bernd Heinrich ◽  
Alexander Schiller ◽  
Dominik Schön ◽  
Michael Szubartowicz
Keyword(s):  
Automated Planning ◽  
Process Models ◽  
Planning Approach

Taxes and Business Strategy: A Planning Approach. By MYRON S. SCHOLES and MARK A. WOLFSON.

1992 ◽  
Vol 45 (4) ◽  
pp. 451-455
Author(s):  
Theodore S. Sims ◽  
Emil M. Sunley
Keyword(s):  
Business Strategy ◽  
Planning Approach

scholarly journals R-DFS: A Coverage Path Planning Approach Based on Region Optimal Decomposition

2021 ◽  
Vol 13 (8) ◽  
pp. 1525
Author(s):  
Gang Tang ◽  
Congqiang Tang ◽  
Hao Zhou ◽  
Christophe Claramunt ◽  
Shaoyang Men
Keyword(s):  
Path Planning ◽  
Google Earth ◽  
Simulation Experiments ◽  
Minimum Width ◽  
Coverage Path Planning ◽  
Optimal Paths ◽  
Planning Approach ◽  
Polygonal Area ◽  
Aerial Vehicle ◽  
Working Distance

Most Coverage Path Planning (CPP) strategies based on the minimum width of a concave polygonal area are very likely to generate non-optimal paths with many turns. This paper introduces a CPP method based on a Region Optimal Decomposition (ROD) that overcomes this limitation when applied to the path planning of an Unmanned Aerial Vehicle (UAV) in a port environment. The principle of the approach is to first apply a ROD to a Google Earth image of a port and combining the resulting sub-regions by an improved Depth-First-Search (DFS) algorithm. Finally, a genetic algorithm determines the traversal order of all sub-regions. The simulation experiments show that the combination of ROD and improved DFS algorithm can reduce the number of turns by 4.34%, increase the coverage rate by more than 10%, and shorten the non-working distance by about 29.91%. Overall, the whole approach provides a sound solution for the CPP and operations of UAVs in port environments.

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