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Modelling Supply Chain Dynamics (Paperback, 1st ed. 2022)
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Modelling Supply Chain Dynamics (Paperback, 1st ed. 2022)
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This book discusses supply chain management, focusing on
developments within modelling the dynamic behaviour of the supply
chain. Aimed at postgraduate students, researchers and
practitioners, this book provides an in-depth knowledge of the
dynamics of supply chains. Business trends such as the
globalisation process and the increase of competition across many
industrial sectors have forced companies to concentrate on their
core competences and to outsource those activities in which they do
not excel. As a consequence, companies no longer produce and
distribute their goods in isolation, but being part of a supply
chain or supply network, i.e. a set of interrelated companies who
ultimately deliver the goods and services to the final customer.
Despite the prevalence of supply chains as the primary form of
production and distribution, their performance can be seriously
hampered by the complex dynamics resulting from the collaboration
and coordination (or lack thereof) among their members. This book
provides the reader with modelling tools to understand, analyse and
improve the dynamic behaviour of supply chains. It assembles
seminal works on supply chain models and recent developments on the
topic in order to provide a comprehensive, unified vision of the
field for researchers and practitioners who wish to grasp the
challenges of supply chain management. Aside presenting the main
elements, equations and performance indicators governing the
dynamics of a supply chain, and the book addresses issues such as
the effect of timely and accurately sharing the information across
members, the influence of restrictions on the productive capacities
of their members, or the impact of the variability of the lead
times, among others. Furthermore, more complex supply chain
structures such as non-serial supply networks or closed-loop supply
chains are modelled and discussed. Relevant managerial insights
regarding the causes of supply chain underperformance, as well as
avenues to improve their efficiency can be extracted from the
resulting models.
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