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The book develops manufacturing concepts and applications beyond
physical production and towards a wider manufacturing value chain
incorporating external stakeholders that include suppliers of raw
materials and parts, customers, collaborating manufacturing
companies, manufacturing service providers, and environmental
organisations. The focal point of the value chain remains as a
manufacturing system and its operations whiles flows of
parts/materials and information and services across the
supply/value chain tiers are taken into account. The book
emphasises on the two innovative paradigms of Reconfigurable
Manufacturing Systems (RMS) and the 4th industrial revolution
(Industry 4.0) along with their incorporated development. RMS, as a
relatively new paradigm, has been introduced to meet the
requirements of 'the factories of the future', which is aimed by
Industry 4.0, though introducing greater responsiveness and
customised flexibility into production systems, in which changes in
product volumes and types occur regularly. Manufacturing
responsiveness can be achieved by RMS through reconfiguring the
production facilities according to changing demands of products and
new market conditions. The book addresses challenges of
mass-customisation and dynamic changes in the supply-chain
environment by focusing on developing new techniques related to
integrability, scalability and re-configurability at a system level
and manufacturing readiness in terms of financial and technical
feasibility of RMS. It demonstrate the expected impacts of an RMS
design on operational performance and its supply/value chain in the
current/future manufacturing environment facing dynamic changes in
the internal/external circumstances. In order to establish a
circular economy through the RMS value chain, an integrated
data-based reconfiguration link is introduced to incorporate
information sharing amongst the value chain stakeholders and
facilitate grouping products into families with allocation of the
product families to the corresponding system configurations with
optimal product-process allocation. Decision support systems such
as multi criteria decision making tools are developed and applied
for the selection of product families and optimising
product-process configuration. The proposed models are illustrated
through real case studies in applicable manufacturing firms.
This book explores a new framework of Adaptive Water Management
(AWM) for evaluating existing approaches in urban water management.
It highlights the need to adopt multidisciplinary strategies in
water management while providing an in-depth understanding of
institutional interactions amongst different water related sectors.
The key characteristics of AWM i.e. polycentric governance,
organisational flexibility and public participation are
investigated and described through a critical review of the
relevant literature. The book presents an empirical case study
undertaken in a selected developing-country city to investigate the
potential gaps between the current water management approaches and
possible implementation of AWM. Feasibility of AWM operations is
examined in an environment surrounded by established water
management structure with centralised governance and an
institutional process based on technical flexibility. The key
elements of AWM performance are (re)structured and transformed into
decision support systems. Multi criteria decision models are
developed to facilitate quantification and visualization of the
elements derived from the case study, which is involved with water
companies and water consumers. The book describes how the concept
of AWM, along with structuring suitable decision support systems,
can be developed and applied to developing-country cities. The book
highlights the barriers for applying the AWM strategies that
include established centralised decision making, bureaucratic
interactions with external organisations, lack of organisational
flexibility within the institutions, and lack of recognition of
public role in water management. The findings outline that despite
the lack of adaptability in the current water management in the
case study, as an example of developing countries, there are
positive attitudes among water professionals and the public towards
adaptability through public-institutional participation.
The book develops manufacturing concepts and applications beyond
physical production and towards a wider manufacturing value chain
incorporating external stakeholders that include suppliers of raw
materials and parts, customers, collaborating manufacturing
companies, manufacturing service providers, and environmental
organisations. The focal point of the value chain remains as a
manufacturing system and its operations whiles flows of
parts/materials and information and services across the
supply/value chain tiers are taken into account. The book
emphasises on the two innovative paradigms of Reconfigurable
Manufacturing Systems (RMS) and the 4th industrial revolution
(Industry 4.0) along with their incorporated development. RMS, as a
relatively new paradigm, has been introduced to meet the
requirements of 'the factories of the future', which is aimed by
Industry 4.0, though introducing greater responsiveness and
customised flexibility into production systems, in which changes in
product volumes and types occur regularly. Manufacturing
responsiveness can be achieved by RMS through reconfiguring the
production facilities according to changing demands of products and
new market conditions. The book addresses challenges of
mass-customisation and dynamic changes in the supply-chain
environment by focusing on developing new techniques related to
integrability, scalability and re-configurability at a system level
and manufacturing readiness in terms of financial and technical
feasibility of RMS. It demonstrate the expected impacts of an RMS
design on operational performance and its supply/value chain in the
current/future manufacturing environment facing dynamic changes in
the internal/external circumstances. In order to establish a
circular economy through the RMS value chain, an integrated
data-based reconfiguration link is introduced to incorporate
information sharing amongst the value chain stakeholders and
facilitate grouping products into families with allocation of the
product families to the corresponding system configurations with
optimal product-process allocation. Decision support systems such
as multi criteria decision making tools are developed and applied
for the selection of product families and optimising
product-process configuration. The proposed models are illustrated
through real case studies in applicable manufacturing firms.
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Discovery Miles 1 640
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