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This book discusses supply chain issues and models with examples
from actual case studies. Recent advances in sustainability, supply
chains and technologies have brought promising potential for the
management of sustainable global and local supply chains. While
most of the current literature seem to consider developments in the
field of sustainable supply chains and in the field of Industry 4.0
as two distinct entities, this book attempts to explore the synergy
in bringing these two distinct fields together. The book features
chapters on management of sustainability and industry 4.0 on supply
chains as a whole, with several case studies on issues related to
the application of sustainable supply chains in specific
application sectors. They employ mathematical modeling and
statistical analyses, as well as descriptive qualitative studies.
They cover a range of application areas including multiple sectors
(restaurant, manufacturing, logistics, furniture, food and
insurance), domains (supply chains, logistics, marketing, and
reverse logistics) and multiple country contexts (UK and India).
The potential links between sustainability and the recent
technological innovations from Industry 4.0 have been explored in
detail. The book offers a valuable tool for managerial
decision-making on the current practice and future potential on the
use of Industry 4.0 tools for sustainable supply chains to
facilitate competitive advantage with case studies in various
industry sectors. In addition, some intriguing mathematical models
will appeal to students and researchers interested in modeling the
logistics process and the application of evolutionary game theory
for integrating the social and economic aspects of sustainable
supply chains. Some of these supply chain issues have been
addressed in a previous book by the Editors.
This book discusses supply chain issues and models with examples
from actual case studies. Recent advances in sustainability, supply
chains and technologies have brought promising potential for the
management of sustainable global and local supply chains. While
most of the current literature seem to consider developments in the
field of sustainable supply chains and in the field of Industry 4.0
as two distinct entities, this book attempts to explore the synergy
in bringing these two distinct fields together. The book features
chapters on management of sustainability and industry 4.0 on supply
chains as a whole, with several case studies on issues related to
the application of sustainable supply chains in specific
application sectors. They employ mathematical modeling and
statistical analyses, as well as descriptive qualitative studies.
They cover a range of application areas including multiple sectors
(restaurant, manufacturing, logistics, furniture, food and
insurance), domains (supply chains, logistics, marketing, and
reverse logistics) and multiple country contexts (UK and India).
The potential links between sustainability and the recent
technological innovations from Industry 4.0 have been explored in
detail. The book offers a valuable tool for managerial
decision-making on the current practice and future potential on the
use of Industry 4.0 tools for sustainable supply chains to
facilitate competitive advantage with case studies in various
industry sectors. In addition, some intriguing mathematical models
will appeal to students and researchers interested in modeling the
logistics process and the application of evolutionary game theory
for integrating the social and economic aspects of sustainable
supply chains. Some of these supply chain issues have been
addressed in a previous book by the Editors.
In the 21st century, supply chain operations and relationships
among supply chain partners have become highly challenging,
necessitating new approaches, e.g., the development of new models.
Supply Chain Strategies, Issues and Models discusses supply chain
issues and models with examples from actual industrial cases.
Expert authors with a wide spectrum of knowledge working in various
areas of supply chain management from various geographical
locations offer refreshing, novel and insightful ideas and address
possible solutions using established theories and models. Supply
Chain Strategies, Issues and Models features studies that have used
mathematical modeling, statistical analyses and also descriptive
qualitative studies. The chapters cover many relevant themes
related to supply chains and logistics including supply chain
complexity, information sharing, quality (six sigma), electronic
Kanbans, inventory models, scheduling, purchasing and contracts. To
facilitate easy reading, the chapters that deal with supply chain
related issues are first, followed by studies on inventory,
scheduling, purchasing and logistics. This book can be used as a
useful resource of supply chain management by academics, students
and practitioners. This book can serve as a helping tool in
managerial decision making for investments in collaboration and
information exchange to improve forecasts, scheduling and inventory
management, and for supply chain managers to leverage product and
process complexities into competitive advantage. Some interesting
mathematical models can appeal to students and researchers
interested in modeling the impact of information sharing in supply
chains.
In the 21st century, supply chain operations and relationships
among supply chain partners have become highly challenging,
necessitating new approaches, e.g., the development of new models.
Supply Chain Strategies, Issues and Models discusses supply chain
issues and models with examples from actual industrial cases.
Expert authors with a wide spectrum of knowledge working in various
areas of supply chain management from various geographical
locations offer refreshing, novel and insightful ideas and address
possible solutions using established theories and models. Supply
Chain Strategies, Issues and Models features studies that have used
mathematical modeling, statistical analyses and also descriptive
qualitative studies. The chapters cover many relevant themes
related to supply chains and logistics including supply chain
complexity, information sharing, quality (six sigma), electronic
Kanbans, inventory models, scheduling, purchasing and contracts. To
facilitate easy reading, the chapters that deal with supply chain
related issues are first, followed by studies on inventory,
scheduling, purchasing and logistics. This book can be used as a
useful resource of supply chain management by academics, students
and practitioners. This book can serve as a helping tool in
managerial decision making for investments in collaboration and
information exchange to improve forecasts, scheduling and inventory
management, and for supply chain managers to leverage product and
process complexities into competitive advantage. Some interesting
mathematical models can appeal to students and researchers
interested in modeling the impact of information sharing in supply
chains.
Multiple Criteria Decision Making (MCDM) is a subfield of
Operations Research, dealing with decision making problems. A
decision-making problem is characterized by the need to choose one
or a few among a number of alternatives. The field of MCDM assumes
special importance in this era of Big Data and Business Analytics.
In this volume, the focus will be on modelling-based tools for
Business Analytics (BA), with exclusive focus on the sub-field of
MCDM within the domain of operations research. The book will
include an Introduction to Big Data and Business Analytics, and
challenges and opportunities for developing MCDM models in the era
of Big Data.
Multiple Criteria Decision Making (MCDM) is a subfield of
Operations Research, dealing with decision making problems. A
decision-making problem is characterized by the need to choose one
or a few among a number of alternatives. The field of MCDM assumes
special importance in this era of Big Data and Business Analytics.
In this volume, the focus will be on modelling-based tools for
Business Analytics (BA), with exclusive focus on the sub-field of
MCDM within the domain of operations research. The book will
include an Introduction to Big Data and Business Analytics, and
challenges and opportunities for developing MCDM models in the era
of Big Data.
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R1,150
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