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Design, analysis, and real-time cont...

Petering, Matthew Erich Harold.

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Design, analysis, and real-time control of seaport container transshipment terminals.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Design, analysis, and real-time control of seaport container transshipment terminals./
Author:	Petering, Matthew Erich Harold.
Description:	189 p.
Notes:	Adviser: Katta G. Murty.
Contained By:	Dissertation Abstracts International68-08B.
Subject:	Engineering, Industrial. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3276268
ISBN:	9780549183051

Design, analysis, and real-time control of seaport container transshipment terminals.
Petering, Matthew Erich Harold.

Design, analysis, and real-time control of seaport container transshipment terminals. - 189 p.

Adviser: Katta G. Murty.

Thesis (Ph.D.)--University of Michigan, 2007.

In Chapter 1, we present a state-of-the-art discrete event simulation model of operations inside seaport container transshipment terminals. This model, based on the author's internship and extended on-site experience at a major container terminal in Asia, is the first model in the literature to directly connect (1) terminal design options and (2) real-time yard control algorithms to the overall productivity (i.e. long-run gross crane rate) at a seaport container terminal. Regarding terminal design, we present several new results on yard layout, yard crane and yard truck fleet composition, terminal capacity, and other problems. Regarding real-time control, we present several new results on real-time container storage and retrieval location assignment; real-time inter-zone yard crane deployment; real-time intra-zone yard crane dispatching; and real-time dual-load truck dispatching. In all experiments, performance is measured according to the industry standard metric. The quick runtime of the simulation model demonstrates that the proposed algorithms are suitable for deployment even at the world's largest container terminals. These findings have the potential to significantly improve the productivity of container terminals around the world.

ISBN: 9780549183051Subjects--Topical Terms:

626639
Engineering, Industrial.

Design, analysis, and real-time control of seaport container transshipment terminals.
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020 $a 9780549183051
035 $a (UMI)AAI3276268
035 $a AAI3276268
040 $a UMI $c UMI
100 1 $a Petering, Matthew Erich Harold. $3 1266074
245 1 0 $a Design, analysis, and real-time control of seaport container transshipment terminals.
300 $a 189 p.
500 $a Adviser: Katta G. Murty.
500 $a Source: Dissertation Abstracts International, Volume: 68-08, Section: B, page: 5492.
502 $a Thesis (Ph.D.)--University of Michigan, 2007.
520 $a In Chapter 1, we present a state-of-the-art discrete event simulation model of operations inside seaport container transshipment terminals. This model, based on the author's internship and extended on-site experience at a major container terminal in Asia, is the first model in the literature to directly connect (1) terminal design options and (2) real-time yard control algorithms to the overall productivity (i.e. long-run gross crane rate) at a seaport container terminal. Regarding terminal design, we present several new results on yard layout, yard crane and yard truck fleet composition, terminal capacity, and other problems. Regarding real-time control, we present several new results on real-time container storage and retrieval location assignment; real-time inter-zone yard crane deployment; real-time intra-zone yard crane dispatching; and real-time dual-load truck dispatching. In all experiments, performance is measured according to the industry standard metric. The quick runtime of the simulation model demonstrates that the proposed algorithms are suitable for deployment even at the world's largest container terminals. These findings have the potential to significantly improve the productivity of container terminals around the world.
520 $a In Chapter 2, we introduce and analyze a serial material handling system in which items are transported through a sequence of stations from an origin to a destination via a series of vehicles that move back and forth between consecutive stations. Each pair of consecutive stations is connected by a single vehicle with unit capacity that travels back and forth between the upstream and downstream stations. Vehicles travel with items in the downstream direction and without items in the upstream direction. Stations act as holding areas for items awaiting further transport within the system. Stations may have non-identical capacities. We model this system as a continuous time Markov chain and develop a recursive algorithm for generating the state transition matrix for any system configuration. After solving for the steady state probabilities using the Gauss-Seidel method, we compute the average throughput rate, average number of items in the system, and average sojourn time for various system configurations.
590 $a School code: 0127.
650 4 $a Engineering, Industrial. $3 626639
650 4 $a Engineering, Marine and Ocean. $3 1019064
650 4 $a Engineering, System Science. $3 1018128
690 $a 0546
690 $a 0547
690 $a 0790
710 2 $a University of Michigan. $3 777416
773 0 $t Dissertation Abstracts International $g 68-08B.
790 $a 0127
790 1 0 $a Murty, Katta G., $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3276268