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Supply chain scheduling with delivery costs

<p> Supply chain management has been one of the most important issues in manufacturing
industries. In order to improve customer satisfaction, suppliers usually
extend their inbound production operations to outbound logistics operations. To improve
the overall operational performance, it is necessary to study scheduling models
which consider inbound production and outbound deliveries simultaneously. This
thesis deals with supply chain problems on the operational level using deterministic
models. </p> <p> Meeting due dates is always one of the most important concerns in scheduling
and supply chain management. In most supplying contracts, customers require that
suppliers either meet contracted due dates or pay tardiness penalties. In order to
save delivery costs, suppliers usually deliver jobs in batches. Therefore, we will study
supply chain scheduling problems with delivery costs, where our goal is to minimize
the sum of the weighted number of tardy jobs and the batch-delivery costs on a single
machine. </p> <p> In traditional manufacturing system, due dates are not considered as given by
exogenous decisions. In modern supply chains, however, due dates are determined
by taking into account the system's ability to meet the assigned due dates, which
can be quoted with certain costs. Therefore, we will study supply chain scheduling
problems with delivery costs and due date assignment, where our goal is to minimize
the sum of the weighted number of tardy jobs, the due-date-assignment costs and the
batch-delivery costs on a single machine. </p> <p> As we know, most machine scheduling models are intractable in terms of computational
complexity. Therefore, for our above problems, which are even harder, we
first prove their computational complexity. Then we propose pseudo-polynomial algorithms
for optimal solutions. For some problems, the pseudo-polynomial algorithms
perform in polynomial time for some special cases. Finally, we develop efficient approximation
algorithms or fully polynomial time approximation schemes, which can
be implemented easily in practice. </p> / Thesis / Doctor of Philosophy (PhD)

Identiferoai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/19434
Date04 1900
CreatorsZhang, Rui
ContributorsSteiner, George, Business Administration
Source SetsMcMaster University
LanguageEnglish
Detected LanguageEnglish

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