Crossdocking: JIT Scheduling with Time Windows

In this paper, we study a problem central to crossdocking that aims to eliminate or minimize storage and order picking activity using JIT scheduling. The problem is modelled naturally as a machine scheduling problem. As the problem is NP-hard, and for real-time applications, we designed and implemen...

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Bibliographic Details
Main Authors: LI, Yanzhi, LIM, Andrew, Rodrigues, Brian
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2004
Subjects:
Online Access:https://ink.library.smu.edu.sg/lkcsb_research/2616
https://www.jstor.org/stable/4101853
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Institution: Singapore Management University
Language: English
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Summary:In this paper, we study a problem central to crossdocking that aims to eliminate or minimize storage and order picking activity using JIT scheduling. The problem is modelled naturally as a machine scheduling problem. As the problem is NP-hard, and for real-time applications, we designed and implemented two heuristics. The first uses Squeaky Wheel Optimization embedded in a Genetic Algorithm and the second uses Linear Programming within a Genetic Algorithm. Both heuristics offer good solutions in experiments where comparisons are made with the CPLEX solver