Integrated production and material handling scheduling using mathematical programming and constraint programming-Reference-Cited by-同舟云学术

Integrated production and material handling scheduling using mathematical programming and constraint programming

Published:2006-12 Issue:3 Volume:175 Page:1818-1832
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Khayat Ghada El,Langevin André,Riopel Diane

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modelling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference26 articles.

1. The shifting bottleneck procedure for job shop scheduling;Adams;Management Science,1988

2. Integrated Scheduling of material handling and manufacturing activities for just in time production of complex assemblies;Anwar;International Journal of Production Research,1998

3. Anwar, M.F., Nagi, R., 1997. Integrated conflict free routing of AGVs and workcenter scheduling in a just in time production environment. In: Proceedings of the 1997 6th Annual Industrial Engineering Research Conference, May 17–18, Miami, FL, USA.

4. Constraint-Based Scheduling—Applying Constraint Programming to Scheduling Problems;Baptiste,2001

5. Beasley, J.E. OR-Library test problems. Available from: .

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