東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Intelligent agent based planning, sc...

Kim, Byung In.

FindBook

Google Book

Amazon

博客來

Intelligent agent based planning, scheduling, and control: Warehouse management application.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent agent based planning, scheduling, and control: Warehouse management application./
作者:	Kim, Byung In.
面頁冊數:	151 p.
附註:	Source: Dissertation Abstracts International, Volume: 63-03, Section: B, page: 1511.
Contained By:	Dissertation Abstracts International63-03B.
標題:	Engineering, Industrial. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3045392
ISBN:	0493593624

Intelligent agent based planning, scheduling, and control: Warehouse management application.
Kim, Byung In.

Intelligent agent based planning, scheduling, and control: Warehouse management application. - 151 p.

Source: Dissertation Abstracts International, Volume: 63-03, Section: B, page: 1511.

Thesis (Ph.D.)--Rensselaer Polytechnic Institute, 2002.

Operations planning, scheduling, and control systems are essential elements in manufacturing and distribution companies. A new modeling framework for developing efficient planning, scheduling, and control systems, is presented in this thesis. It can be applied in manufacturing as well as distribution companies. It is a hybrid of the <italic>hierarchical</italic> and <italic> heterarchical frameworks</italic>. While the <italic>hierarchical</italic> framework may give globally optimized planning and scheduling solutions, it is not robust, especially when there are disturbances in the system. On the other hand, the <italic>heterarchical</italic> framework provides robustness but may not generate a globally optimized scheduling solution. Throughout this thesis, the term globally optimized plan is used to refer to one that is near-optimal, but based on a global perspective. Our focus is on developing a robust modeling framework that can provide a globally optimized plan and control. In this proposed framework, entities (e.g., parts) and resources (e.g., material handling devices, machines, cells, departments) are modeled as intelligent agents to function in a cooperative manner so as to accomplish individual as well as cell-wide and system-wide objectives. Lower level components may autonomously make their negotiations within the boundary conditions that the higher level holons set. Horizontal as well as vertical decisions are made between various levels of controllers.

ISBN: 0493593624Subjects--Topical Terms:

626639
Engineering, Industrial.

Intelligent agent based planning, scheduling, and control: Warehouse management application.
LDR:03676nmm 2200325 4500 001 1853091
005 20040407102507.5
008 130614s2002 eng d
020 $a 0493593624
035 $a (UnM)AAI3045392
035 $a AAI3045392
040 $a UnM $c UnM
100 1 $a Kim, Byung In. $3 1940962
245 1 0 $a Intelligent agent based planning, scheduling, and control: Warehouse management application.
300 $a 151 p.
500 $a Source: Dissertation Abstracts International, Volume: 63-03, Section: B, page: 1511.
500 $a Co-Advisers: Sunderesh S. Heragu; Robert J. Graves.
502 $a Thesis (Ph.D.)--Rensselaer Polytechnic Institute, 2002.
520 $a Operations planning, scheduling, and control systems are essential elements in manufacturing and distribution companies. A new modeling framework for developing efficient planning, scheduling, and control systems, is presented in this thesis. It can be applied in manufacturing as well as distribution companies. It is a hybrid of the <italic>hierarchical</italic> and <italic> heterarchical frameworks</italic>. While the <italic>hierarchical</italic> framework may give globally optimized planning and scheduling solutions, it is not robust, especially when there are disturbances in the system. On the other hand, the <italic>heterarchical</italic> framework provides robustness but may not generate a globally optimized scheduling solution. Throughout this thesis, the term globally optimized plan is used to refer to one that is near-optimal, but based on a global perspective. Our focus is on developing a robust modeling framework that can provide a globally optimized plan and control. In this proposed framework, entities (e.g., parts) and resources (e.g., material handling devices, machines, cells, departments) are modeled as intelligent agents to function in a cooperative manner so as to accomplish individual as well as cell-wide and system-wide objectives. Lower level components may autonomously make their negotiations within the boundary conditions that the higher level holons set. Horizontal as well as vertical decisions are made between various levels of controllers.
520 $a In order to validate the effectiveness of the new framework, the proposed framework is applied to an actual industrial warehouse problem. There are three levels of agents in the proposed architecture: system level global planner, control level guide, and lower level execution agents. The system level global optimizer agent, with its global perspective, makes a balanced and synchronized order sequence and assigns resources to each order efficiently. The control level guide agent takes the resource assignment decision from the higher level agent and guides the lower level agent to achieve global optimization. The lower level execution agents make their decisions based on real time conditions. They suggest the alteration of predetermined resource assignments but have to get permission from the control level agent. Several optimization models are developed for the agents. The effectiveness of the hybrid architecture is demonstrated.
520 $a Chaos concerns in manufacturing systems are also addressed in this thesis. Several guidelines for designing intelligent agent based operations planning, scheduling, and control systems are also presented.
590 $a School code: 0185.
650 4 $a Engineering, Industrial. $3 626639
650 4 $a Engineering, System Science. $3 1018128
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0546
690 $a 0790
690 $a 0544
710 2 0 $a Rensselaer Polytechnic Institute. $3 1019062
773 0 $t Dissertation Abstracts International $g 63-03B.
790 1 0 $a Heragu, Sunderesh S., $e advisor
790 1 0 $a Graves, Robert J., $e advisor
790 $a 0185
791 $a Ph.D.
792 $a 2002
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3045392