Article

Cross-dock job assignment problem in space-constrained industrial logistics distribution hubs with a single docking zone

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This paper addresses a cross-dock operations problem in space-constrained industrial logistics distribution hubs. In these hubs, the number of incoming trucks exceeds the number of docks available, and inbound trucks and orders arrive at random. The solution lies in minimising the waiting time of trucks by coordinating the pick up/delivery sequences of inbound and outbound orders in the storage zones. A mathematical model and a meta-heuristics algorithm, which is based on a genetic algorithm, are developed to address the problem. This research is innovative because the proposed algorithm allows the insertion of inbound orders that arrive at random into the schedule, without causing any significant disturbance to the original outbound order schedule. Computational experiments are conducted to examine the performance of the algorithm under heavy and normal cross-dock conditions. Results show that the algorithm reduces the total makespan of storage operations by 10% to 20% under heavy and normal conditions. The research study benefits manufacturers by increasing cross-docking efficiency in industrial logistics systems characterised by limited temporary storage capacity and the random arrival of inbound trucks.

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Ketersediaan

Informasi Detail

Judul Seri

Cross-dock job assignment problem in spaceconstrained industrial logistics distribution hubs with a single docking zone

No. Panggil

ATC LO CHO c

Penerbit

Hongkong : Taylor and Francis., 2012

Deskripsi Fisik

13 p.

Bahasa

English

ISBN/ISSN

1366–588X

Klasifikasi

LO

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

online resource

Edisi

Vol. 50, No. 9, 1 May 2012, 2439–2450

Subjek

genetic algorithm
cross-dock
coordination of inbound and outbound orders
truck assignment

Info Detail Spesifik

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Pernyataan Tanggungjawab

K.L. Choy

Versi lain/terkait

Lampiran Berkas

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