#TITLE_ALTERNATIVE#
Abstract: <br /> <br /> <br /> Decision making in dynamic working environment not only aims to choose solution from some of alternatives, but also must be seen as an active control effort of the system. Manufacturing system simulation dealts with complex system with complicated in...
Saved in:
| Main Author: | |
|---|---|
| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/7198 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Abstract: <br />
<br />
<br />
Decision making in dynamic working environment not only aims to choose solution from some of alternatives, but also must be seen as an active control effort of the system. Manufacturing system simulation dealts with complex system with complicated involvement of inter system elements and frequent arbitrary state, whether by autonomous or by effects. of other autonomous element decisions. Therefore the made decisions are sequence of decisions depending each other, real time, and could be a feedback for decision maker. <br />
<br />
<br />
Fast and qualified modeling of manufacturing system always be a desire in simulation activity. In this thesis effective, efficient and integrated modeling framework is designed to support simulation of material transportation system. Therefore model architecture is constructed, and appropriate methodology and tool are chosen. Modeling of material transportation system using Automated Guided Vehicle (AGV) in mass and repetitive production is the case study. <br />
<br />
<br />
Modeling will be done by object oriented approach. In order that transport operation by AGV system reflects actual shop floor condition, AGV system model is integrated with information and logistic system. Object model level, virtually, also used in communication and decision making of AGV system components. Finally performance of chosen transport operation strategy, could be judged according to designed optimization criteria. <br />
|
|---|