Article

An uncertain model for RCPSP with solution robustness focusing on logistics project schedule

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Logistics project scheduling problem in indeterminate environment is gaining more and more attention in recent years. One effective way to cope with indeterminacy is to develop robust baseline schedule. There exist many related researches on building robust schedule in stochastic environment, where historical data is sufficient to learn probability distributions. However, when historical data is not enough, precise estimation on variables may be impossible. This kind of indeterminate environment can be described by uncertainty according to uncertainty theory. Related researches in uncertain environment are sparse. In this paper, our aim is to solve robust project scheduling in uncertain environment. The specific problem is to develop robust schedule with uncertain activity durations for logistics project. To solve the problem, an uncertain model is built and an intelligent algorithm based on simulated annealing is designed. Moreover, we consider a logistics project as a numerical example and illustrate the effectiveness of the proposed model and algorithm.

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Ketersediaan

Informasi Detail

Judul Seri

Original article

No. Panggil

ATC LO HUA a

Penerbit

China : Elsevier., 2012

Deskripsi Fisik

13 p.

Bahasa

English

ISBN/ISSN

-

Klasifikasi

LO

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

online resource

Edisi

-

Subjek

Logistics project scheduling
Uncertainty theory
Robust scheduling

Info Detail Spesifik

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Pernyataan Tanggungjawab

Hu HUANG

Versi lain/terkait

Lampiran Berkas

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