國立虎尾科技大學 |

Optimization Modeling and Analysis of Customer-Centric Delivery Logistics.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Optimization Modeling and Analysis of Customer-Centric Delivery Logistics./
作者:	Moshref-Javadi, Mohammad.
面頁冊數:	1 online resource (174 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
Contained By:	Dissertation Abstracts International79-03B(E).
標題:	Industrial engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780355258059

Optimization Modeling and Analysis of Customer-Centric Delivery Logistics.
Moshref-Javadi, Mohammad.

Optimization Modeling and Analysis of Customer-Centric Delivery Logistics. - 1 online resource (174 pages)

Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

Distribution of products and services is an essential part of production and service systems. Customer-centric delivery systems that are considered in this research are a class of logistics systems that focuses on minimizing the delivery time by making decisions on questions such as vehicle routing, locations of distribution centers, and capacity planning. The minimum delivery time plays a crucial role in both disaster relief operations and commercial delivery systems. While disaster relief logistics seek to minimize loss and damage, commercial delivery systems aim at enhancing customer satisfaction and profit maximization.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355258059Subjects--Topical Terms:

679492
Industrial engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Optimization Modeling and Analysis of Customer-Centric Delivery Logistics.
LDR:04026ntm a2200373Ki 4500 001 910519
005 20180517123956.5
006 m o u
007 cr mn||||a|a||
008 190606s2017 xx obm 000 0 eng d
020 $a 9780355258059
035 $a (MiAaPQ)AAI10607427
035 $a (MiAaPQ)purdue:21721
035 $a AAI10607427
040 $a MiAaPQ $b eng $c MiAaPQ
099 $a TUL $f hyy $c available through World Wide Web
100 1 $a Moshref-Javadi, Mohammad. $3 1181853
245 1 0 $a Optimization Modeling and Analysis of Customer-Centric Delivery Logistics.
264 0 $c 2017
300 $a 1 online resource (174 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
500 $a Adviser: Seokcheon Lee.
502 $a Thesis (Ph.D.) $c Purdue University $d 2017.
504 $a Includes bibliographical references
520 $a Distribution of products and services is an essential part of production and service systems. Customer-centric delivery systems that are considered in this research are a class of logistics systems that focuses on minimizing the delivery time by making decisions on questions such as vehicle routing, locations of distribution centers, and capacity planning. The minimum delivery time plays a crucial role in both disaster relief operations and commercial delivery systems. While disaster relief logistics seek to minimize loss and damage, commercial delivery systems aim at enhancing customer satisfaction and profit maximization.
520 $a In this research, first a taxonomy of customer-centric routing problems is developed. Then, the first part of the research considers the customer-centric routing problems with large customer demands which result in split delivery among more than a vehicle. Assuming multiple commodities are distributed to customers, the goal is to find the optimal routes of the vehicles allowing the split delivery. This problem is mathematically formulated in two models and valid inequalities are provided to enhance the understandings of the problem and strengthen the computational performance of the mathematical models. The properties of the problem are used to develop an efficient algorithm which combines the concepts and operators of Simulated Annealing and Variable Neighborhood Search.
520 $a The second part of the research studies the customer-centric routing problems in combination with location problem due to their interrelated nature. In this research, the goal is to decide distribution center locations and vehicle routes simultaneously to minimize delivery time. The problem is formulated and two efficient metaheuristic algorithms are designed to deal with large-scale problems: Memetic Algorithm (MA) and Recursive Granular Algorithm (RGA).
520 $a In the third study, the goal is to study how we can benefit from the emerging "drone technology" in reducing delivery time. This research assumes a combined system of vehicles and drones in which a vehicle carries both supplies and drones and launches drones at some points in its route to deliver packages to recipients. The objective is to decide vehicle route, drone launching locations, and customers to serve by the vehicle and drones. The problem is then extended to the multi-trip case in which each drone can be relaunched to serve several customers at each stop. These problems are mathematically formulated and a bound analysis is conducted to investigate the maximum possible savings achievable by employing drones. The models are tested and analyzed in various hypothetical problems and in a case study developed upon Richmond, Virginia.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Industrial engineering. $3 679492
655 7 $a Electronic books. $2 local $3 554714
690 $a 0546
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Purdue University. $b Industrial Engineering. $3 1181854
773 0 $t Dissertation Abstracts International $g 79-03B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10607427 $z click for full text (PQDT)