NDLI: Scheduling compound trucks in multi-door cross-docking terminals

Content Provider	Springer Nature Link
Author	Joo, Cheol Min Kim, Byung Soo
Copyright Year	2012
Abstract	One of the most important operational management problems in a cross-docking terminal is truck scheduling problem. In this paper, we consider a truck scheduling problem for three types of trucks (inbound-only trucks, outbound-only trucks, and compound trucks) in a multi-door cross-docking terminal. The objective of the problem is to determine the door assignments and the docking sequences of all three types of trucks simultaneously to minimize the makespan. A mathematical model for optimal solution is derived and two meta-heuristics, genetic algorithm and self-evolution algorithm, are proposed. The performance of the meta-heuristic algorithms are evaluated using randomly generated several examples.
Starting Page	977
Ending Page	988
Page Count	12
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	64
Issue Number	5-8
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-03-17
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cross-docking terminal Truck scheduling Compound truck Self-evolution algorithm Industrial and Production Engineering Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A cross-docking scheduling problem with sub-population multi-objective algorithms

A multi-criteria cross-docking scheduling with just-in-time approach

An imperialist competitive algorithm to schedule of receiving and shipping trucks in cross-docking systems

Solving a multi-product distribution planning problem in cross docking networks: An imperialist competitive algorithm

Multi-agent-based proactive–reactive scheduling for a job shop

Scheduling the truck holdover recurrent dock cross-dock problem using robust meta-heuristics

A multi-agent system for autonomous supply chain configuration

Production Scheduling and Cell Formation for Virtual Cellular Manufacturing Systems

Integrated supply chain design using multi-criteria optimization

Scheduling compound trucks in multi-door cross-docking terminals

Similar Documents

A cross-docking scheduling problem with sub-population multi-objective algorithms

A multi-criteria cross-docking scheduling with just-in-time approach

An imperialist competitive algorithm to schedule of receiving and shipping trucks in cross-docking systems

Solving a multi-product distribution planning problem in cross docking networks: An imperialist competitive algorithm

Multi-agent-based proactive–reactive scheduling for a job shop

Scheduling the truck holdover recurrent dock cross-dock problem using robust meta-heuristics

A multi-agent system for autonomous supply chain configuration

Production Scheduling and Cell Formation for Virtual Cellular Manufacturing Systems

Integrated supply chain design using multi-criteria optimization

Scheduling compound trucks in multi-door cross-docking terminals