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Infectious diseases are leading threats and are of highest risk to
the human population globally. Over the last two years, we saw the
transmission of Covid-19. Millions of people died, and also forced
to live with a disability. Mathematical models are effective tools
that enable analyzing relevant information, simulate the related
process and evaluate beneficial results. They can help to make
rational decisions towards a healthy society. Formulation of
mathematical models for a pollution-free environment is also very
important for society. To determine the system which can be
modelled, we need to formulate the basic context of the model
underlying some necessary assumptions. This describes our beliefs
in terms of the mathematical language of how the world functions.
This book addresses issues during the Covid phase and post-Covid
phase. It analyzes transmission, impact of coinfections, and
vaccination as a control or to decrease the intensity of infection.
It also talks about the violence and unemployment problems
occurring during the post-Covid period. This book will help
societal stakeholders to resume normality slowly and steadily.
This book provides several inventory models for making the right
decision in inventory management under different environments.
Basically, the optimal ordering policies are determined for
situations with and without shortages in production-inventory
systems. The chapters in the book include various features of
inventory modeling i.e., inflation, deterioration, supply chain,
learning, credit financing, carbon emission policy, stock-dependent
demand, among others. The book is a useful resource for
academicians, researchers, students, practitioners, and managers
who can be benefited with the policies provided in the chapters of
the book.
This book presents a collection of mathematical models that deals
with the real scenario in the industries. The primary objective of
this book is to explore various effective methods for inventory
control and management using soft computing techniques. Inventory
control and management is a very tedious task faced by all the
organizations in any sector of the economy. It makes decisions for
policies, activities, and procedures in order to make sure that the
right amount of each item is held in stock at any time. Many
industries suffer from indiscipline while ordering and production
mismatch. It is essential to provide best ordering policy to
control such kind of mismatch in the industries. All the
mathematical model solutions are provided with the help of various
soft computing optimization techniques to determine optimal
ordering policy. This book is beneficial for practitioners,
educators, and researchers. It is also helpful for
retailers/managers for improving business functions and making more
accurate and realistic decisions.
This book describes various mathematical models that can be used to
better understand the spread of novel Coronavirus Disease 2019
(COVID-19) and help to fight against various challenges that have
been developed due to COVID-19. The book presents a statistical
analysis of the data related to the COVID-19 outbreak, especially
the infection speed, death and fatality rates in major countries
and some states of India like Gujarat, Maharashtra, Madhya Pradesh
and Delhi. Each chapter with distinctive mathematical model also
has numerical results to support the efficacy of these models. Each
model described in this book provides its unique prediction policy
to reduce the spread of COVID-19. This book is beneficial for
practitioners, educators, researchers and policymakers handling the
crisis of COVID-19 pandemic.
This book presents a collection of mathematical models that deals
with the real scenario in the industries. The primary objective of
this book is to explore various effective methods for inventory
control and management using soft computing techniques. Inventory
control and management is a very tedious task faced by all the
organizations in any sector of the economy. It makes decisions for
policies, activities, and procedures in order to make sure that the
right amount of each item is held in stock at any time. Many
industries suffer from indiscipline while ordering and production
mismatch. It is essential to provide best ordering policy to
control such kind of mismatch in the industries. All the
mathematical model solutions are provided with the help of various
soft computing optimization techniques to determine optimal
ordering policy. This book is beneficial for practitioners,
educators, and researchers. It is also helpful for
retailers/managers for improving business functions and making more
accurate and realistic decisions.
This book provides several inventory models for making the right
decision in inventory management under different environments.
Basically, the optimal ordering policies are determined for
situations with and without shortages in production-inventory
systems. The chapters in the book include various features of
inventory modeling i.e., inflation, deterioration, supply chain,
learning, credit financing, carbon emission policy, stock-dependent
demand, among others. The book is a useful resource for
academicians, researchers, students, practitioners, and managers
who can be benefited with the policies provided in the chapters of
the book.
This book describes various mathematical models that can be used to
better understand the spread of novel Coronavirus Disease 2019
(COVID-19) and help to fight against various challenges that have
been developed due to COVID-19. The book presents a statistical
analysis of the data related to the COVID-19 outbreak, especially
the infection speed, death and fatality rates in major countries
and some states of India like Gujarat, Maharashtra, Madhya Pradesh
and Delhi. Each chapter with distinctive mathematical model also
has numerical results to support the efficacy of these models. Each
model described in this book provides its unique prediction policy
to reduce the spread of COVID-19. This book is beneficial for
practitioners, educators, researchers and policymakers handling the
crisis of COVID-19 pandemic.
This book discusses inventory models for determining optimal
ordering policies using various optimization techniques, genetic
algorithms, and data mining concepts. It also provides sensitivity
analyses for the models' robustness. It presents a collection of
mathematical models that deal with real industry scenarios. All
mathematical model solutions are provided with the help of various
optimization techniques to determine optimal ordering policy. The
book offers a range of perspectives on the implementation of
optimization techniques, inflation, trade credit financing, fuzzy
systems, human error, learning in production, inspection, green
supply chains, closed supply chains, reworks, game theory
approaches, genetic algorithms, and data mining, as well as
research on big data applications for inventory management and
control. Starting from deterministic inventory models, the book
moves towards advanced inventory models. The content is divided
into eight major sections: inventory control and management -
inventory models with trade credit financing for imperfect quality
items; environmental impact on ordering policies; impact of
learning on the supply chain models; EOQ models considering
warehousing; optimal ordering policies with data mining and PSO
techniques; supply chain models in fuzzy environments; optimal
production models for multi-items and multi-retailers; and a
marketing model to understand buying behaviour. Given its scope,
the book offers a valuable resource for practitioners, instructors,
students and researchers alike. It also offers essential insights
to help retailers/managers improve business functions and make more
accurate and realistic decisions.
When deadly illness spreads through a population at a rapid pace,
time may be of the essence in order to save lives. Using
mathematics as a language to interpret assumptions concerning the
biological and population mechanics, one can make predictions by
analyzing actual epidemiological data using mathematical tests and
results. Mathematical models can help us understand the right
disease status and predict the effects of the disease on
populations, which can help limit the spread and devastation of the
illness. Mathematical Models of Infectious Diseases and Social
Issues is a collection of innovative research that examines the
dynamics of diseases and their effect on populations. Featuring
coverage of a broad range of topics including deterministic models,
environmental pollution, and social issues, this book is ideally
designed for diagnosticians, clinicians, healthcare providers,
pharmacists, government health officials, policymakers,
academicians, researchers, and students.
Stock management and control is a critical element to the success
and overall financial well-being of an organization. Through the
application of innovative practices and technology, businesses are
now able to effectively monitor their operations and manage their
inventory by evaluating sales patterns and customer preferences.
The Handbook of Research on Promoting Business Process Improvement
Through Inventory Control Techniques is a critical scholarly
resource that examines optimization techniques, data mining
concepts, and genetic algorithms to manage inventory control.
Featuring coverage on a broad range of topics such as logistics and
supply chain management, stochastic inventory modelling, and
inventory management in healthcare, this book is geared towards
academicians, practitioners, and researchers seeking various
research methods to get optimal ordering policy.
Stock management and control is a critical element to the success
and overall financial well-being of an organization. Through the
application of innovative practices and technology, businesses are
now able to effectively monitor their operations and manage their
inventory by evaluating sales patterns and customer preferences.
Optimal Inventory Control and Management Techniques explores
emergent research in stock management and product control within
organizations. Featuring diverse perspectives on the implementation
of various optimization techniques, genetic algorithms, and
datamining concepts, as well as research on big data applications
for inventory management, this publication is a comprehensive
reference source for practitioners, educators, and researchers in
the fields of logistics, operations management, and retail
management.
"C Programming" presents an elaborated exposition of C in an
extremely simple and logical style that will help the reader to
understand the language in easy way. This book does not assume that
reader should have any programming background. It starts with the
basic concepts of C language and steadily builds the pace so that
reader finds it easy to handle complicated topics towards end. Each
chapter has been enriched with examples to create a deep and
lasting impression on the reader's mind. The various features of
the language have been systematically discussed including the new
features.
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