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This book offers a conceptual, theoretical, and empirical overview
of the role of total quality management (TQM) in Indian higher
education from the perspectives of the engineering faculty,
students, and alumni. It identifies the critical dimensions to
measure the performance of TQM. This volume conceptualizes the
service quality of higher education, especially in engineering
education, through empirical assessment of the services being
provided to major stakeholders like the faculty, the students, and
the alumni. It highlights the significance of TQM in creating
success stories while discussing the importance of improved
productivity and quality in higher education with respect to the
quality of engineering educational institutions. Further, the book
provides a complete framework for the implementation of TQM in
engineering educational institutions. This book will be of interest
to students, teachers, and researchers of education and management
studies. It will also be useful for educationalists, education
administrators, education policymakers and bureaucrats, management
professionals, business leaders, and the governing bodies of higher
education institutions.
This book offers a conceptual, theoretical, and empirical overview
of the role of total quality management (TQM) in Indian higher
education from the perspectives of the engineering faculty,
students, and alumni. It identifies the critical dimensions to
measure the performance of TQM. This volume conceptualizes the
service quality of higher education, especially in engineering
education, through empirical assessment of the services being
provided to major stakeholders like the faculty, the students, and
the alumni. It highlights the significance of TQM in creating
success stories while discussing the importance of improved
productivity and quality in higher education with respect to the
quality of engineering educational institutions. Further, the book
provides a complete framework for the implementation of TQM in
engineering educational institutions. This book will be of interest
to students, teachers, and researchers of education and management
studies. It will also be useful for educationalists, education
administrators, education policymakers and bureaucrats, management
professionals, business leaders, and the governing bodies of higher
education institutions.
Resource Allocation (RA) involves the distribution and utilization
of available resources in the system. Because resource availability
is usually scarce and expensive, it becomes important to find
optimal solutions to such problems. Thus RA problems represent an
important class of problems faced by mathematical programmers. This
book focuses on development of models and heuristics for six new
and complex sub-classes of RA problems in Supply Chain (SC)
networks, focusing on bi-objectives, dynamic input data, and
multiple performance measures based allocation and integrated
allocation, and routing with complex constraints. It considers six
set of variants of the RA problems normally encountered in practice
but have not yet been studied. These variants of the classical RA
are complex and pertaining to both manufacturing and service
industry.
As manufacturing companies become global, excellence will be key to
the survival of Indian manufacturing businesses. Despite India's
good performance on the export front in recent years, India is
being outperformed by its competitors. Indian manufacturing
companies must compete with global companies and become world class
organizations to be competitive. Organizational Culture and its
Impact on Continuous Improvement in Manufacturing presents detailed
insights into recent studies, providing solutions that can be
scaled up at a global level. The lack of competitiveness of Indian
companies is attributed to culture in the organization as well as
an inability to introduce world class manufacturing tools which
would allow them to become globally competitive. All the qualities
needed to become world class are not currently available, and it is
imperative to understand this gap through the detailed research
this book presents to ensure India's manufacturing companies can
compete.
This book comprises select papers from the International Conference
on Emerging Trends in Civil Engineering (ICETCE 2018). Latest
research findings in different branches of civil engineering such
as structural engineering, construction materials, geotechnical
engineering, water resources engineering, environmental
engineering, and transportation infrastructure are covered in this
book. The book also gives an overview of emerging topics like smart
materials and structures, green building technologies, and
intelligent transportation system. The contents of this book will
be beneficial for students, academicians, industrialists and
researchers working in the field of civil engineering.
This book comprises select papers from the International Conference
on Emerging Trends in Civil Engineering (ICETCE 2018). Latest
research findings in different branches of civil engineering such
as structural engineering, construction materials, geotechnical
engineering, water resources engineering, environmental
engineering, and transportation infrastructure are covered in this
book. The book also gives an overview of emerging topics like smart
materials and structures, green building technologies, and
intelligent transportation system. The contents of this book will
be beneficial for students, academicians, industrialists and
researchers working in the field of civil engineering.
This book offers an elaborate and empirical look at service quality
of hospitals in the emerging market of India. The poor quality of
service is a major issue in a large number of hospitals
(particularly in government hospitals), which forces patients to
opt for private hospitals that are generally much more expensive
than government hospitals. This book provides a comprehensive
understanding of service quality antecedents in Indian hospitals.
It focuses on patient satisfaction and includes valuable insights
and implications for hospital management and government. The book
is theoretically grounded in SERVQUAL literature and uses
appropriate and sophisticated techniques and tools to analyse data.
It highlights causal model development with Structural Equation
Modelling (SEM) and introduces a classification model, developed
using Artificial Neural Networks (ANNs), in order to benchmark
specialty cardiac care. The book also deals with Support Vector
Machines (SVMs) and compares the error rates between SVM and ANN to
find the best classification technique among the two. Overall, this
book is a timely and relevant work that contributes to the theory,
practice and policy of service quality in hospitals.
This book introduces the fundamental principles of understanding
business requirements to apply enterprise resource planning (ERP)
in order to meet business needs. The book also helps readers
understand the usage of ERP for monitoring and controlling business
processes, while providing practical oriented solutions to the
design and implementation of ERP. Using the provided framework, a
business can decide to provide more value at lower cost which
increases its competitive advantage. This should be an ideal
reference for executives, researchers and consultants in project
management of ERP. ERP can be considered to be an integrated
package of business process. The scope of ERP determines the extent
of automation of business process. For example if ERP covers Human
Resource (HR) and finance business processes only, then business
process related HR and finance are automated. Typically business
process that are automated in HR and finance employee entry and
exist process, allocation of employee ID, payroll, processing ,
income tax planning and actual deduction etc. There is seamless
flow of employee data and information is available at an
effectively faster rate to take appropriate decision. As custom
demand increases, there is a need to meet the changing scenario
with speed and efficiency. While there is a need to increase
productivity, there is also a need to reduce cost of operation. The
repetitive business processes can be handled effectively by
automating them and freeing human resources for meeting other
uncertainties. These automations not only should be done for each
department, but also should cut across different departments. Thus
there is a need for automating business processes at enterprise
level. This enterprise level automation started with MRP, then MRP
II, ERP and then finally open source ERP have taken centre stage.
Out of the standard products available in the market, an
organization can chose an ERP product for implementation, depending
on the features available and the total cost of ownership (TCO).
This comparison helps an organization to choose the product that
best suits the needs for the organization. Enterprise Resource
Planning: Fundamentals of Design and Implementation highlights
these concepts while discusses different good practices to design
and implement ERP.
This book examines the modules/elements required before
implementing knowledge management solutions in typical
manufacturing and service industry. The objective is to develop a
framework, design and model suitable for all requirements and a
strategy to properly implement. Related case studies from
organizations are included, with the results provided to use as a
solution to problems experienced when implementing knowledge
management in the industry. Implementing a knowledge management
system can be complex and dynamic, no matter how well planned and
developed. Inevitably a degree of organizational inertia is focused
on the current state rather than the new. Within an enterprise,
personal and group involvement and interests process status and
technology landscape can deflect the commitment needed to
successfully implement such a system. Cumulative evidence from past
research in knowledge management suggests that effective
implementation of KM solution in any organization requires a robust
designs and models for various critical elements of process, people
and technology. Using the techniques provided in this book, readers
should be able to design knowledge management strategies, to align
objectives of the KM initiatives with their business goals.
This book deals with complex variants of Travelling Salesman
Problem (TSP) and Vehicle Routing Problem (VRP) within the
manufacturing and service industries. The objective is to develop
heuristics for these supply chain problems in order to offer
practical solutions to improve operational efficiency. These
heuristics are evaluated using benchmark and derived data-sets.
Case studies pertaining to logistics in different industries
including textile machinery manufacturing and banking are also
included to demonstrate the created heuristics. High competition in
today's global market has forced the organizations to invest in and
focus on their logistics system. The critical function of logistics
is the transportation within and across various supply chain
entities. Both supply and distribution procedure require effective
transportation management. A small improvement in routing problems
can lead to huge logistics savings in absolute terms. This book
should appeal to executives, researchers and consultants seeking
supply chain management solutions.
This book introduces the fundamental principles of understanding
business requirements to apply enterprise resource planning (ERP)
in order to meet business needs. The book also helps readers
understand the usage of ERP for monitoring and controlling business
processes, while providing practical oriented solutions to the
design and implementation of ERP. Using the provided framework, a
business can decide to provide more value at lower cost which
increases its competitive advantage. This should be an ideal
reference for executives, researchers and consultants in project
management of ERP. ERP can be considered to be an integrated
package of business process. The scope of ERP determines the extent
of automation of business process. For example if ERP covers Human
Resource (HR) and finance business processes only, then business
process related HR and finance are automated. Typically business
process that are automated in HR and finance employee entry and
exist process, allocation of employee ID, payroll, processing ,
income tax planning and actual deduction etc. There is seamless
flow of employee data and information is available at an
effectively faster rate to take appropriate decision. As custom
demand increases, there is a need to meet the changing scenario
with speed and efficiency. While there is a need to increase
productivity, there is also a need to reduce cost of operation. The
repetitive business processes can be handled effectively by
automating them and freeing human resources for meeting other
uncertainties. These automations not only should be done for each
department, but also should cut across different departments. Thus
there is a need for automating business processes at enterprise
level. This enterprise level automation started with MRP, then MRP
II, ERP and then finally open source ERP have taken centre stage.
Out of the standard products available in the market, an
organization can chose an ERP product for implementation, depending
on the features available and the total cost of ownership (TCO).
This comparison helps an organization to choose the product that
best suits the needs for the organization. Enterprise Resource
Planning: Fundamentals of Design and Implementation highlights
these concepts while discusses different good practices to design
and implement ERP.
This book deals with complex variants of Travelling Salesman
Problem (TSP) and Vehicle Routing Problem (VRP) within the
manufacturing and service industries. The objective is to develop
heuristics for these supply chain problems in order to offer
practical solutions to improve operational efficiency. These
heuristics are evaluated using benchmark and derived data-sets.
Case studies pertaining to logistics in different industries
including textile machinery manufacturing and banking are also
included to demonstrate the created heuristics. High competition in
today's global market has forced the organizations to invest in and
focus on their logistics system. The critical function of logistics
is the transportation within and across various supply chain
entities. Both supply and distribution procedure require effective
transportation management. A small improvement in routing problems
can lead to huge logistics savings in absolute terms. This book
should appeal to executives, researchers and consultants seeking
supply chain management solutions.
This book examines the modules/elements required before
implementing knowledge management solutions in typical
manufacturing and service industry. The objective is to develop a
framework, design and model suitable for all requirements and a
strategy to properly implement. Related case studies from
organizations are included, with the results provided to use as a
solution to problems experienced when implementing knowledge
management in the industry. Implementing a knowledge management
system can be complex and dynamic, no matter how well planned and
developed. Inevitably a degree of organizational inertia is focused
on the current state rather than the new. Within an enterprise,
personal and group involvement and interests process status and
technology landscape can deflect the commitment needed to
successfully implement such a system. Cumulative evidence from past
research in knowledge management suggests that effective
implementation of KM solution in any organization requires a robust
designs and models for various critical elements of process, people
and technology. Using the techniques provided in this book, readers
should be able to design knowledge management strategies, to align
objectives of the KM initiatives with their business goals.
Stock market manipulation is detrimental to traders and
corporations, causes unnecessary price fluctuations, and only
benefits financial criminals. The research presented here
determines an appropriate model to help identify stocks witnessing
activities that are indicative of potential manipulation through
three separate but related studies. In Developing an Effective
Model for Detecting Trade-Based Market Manipulation, classifiers
based on three different techniques namely discriminant analysis, a
composite classifier based on Artificial Neural Network and Genetic
Algorithm and support Vector Machines is proposed. The proposed
models help investigators, with varying degree of accuracy, to
arrive at a shortlist of securities which could be subject to
further detailed investigation to detect the type and nature of the
manipulation, if any. Following a fluid outline, Developing an
Effective Model for Detecting Trade-Based Market Manipulation,
introduces the topic, explores the aims and scopes of the research,
before delving into the data and modelling to explore their
application to the stock market to detect price manipulation.
Vehicle Routing Problem (VRP) is widely dealt with in the last four
decades. Methodologies were developed for many variants of VRP by
different researchers. This work considers six set of variants of
the aforesaid problem normally encountered in sustainable supply
chain routing (SSCR) context but have not been given attention to
hitherto. These variants of the classical VRP are complex and
pertaining to six domains of SSCR. Simultaneous pick-up and
delivery problem with maximum route length in the context of
reverse supply chain, sequenced pick-up and delivery problem with
time windows and heterogeneous vehicles in the domain of
constrained supply chain, flexible pick-up and delivery problem
with time windows and heterogeneous vehicles in the perspective of
resilient supply chain, balanced allocation and routing
optimization problem in responsive supply chain, inventory level
allocation and routing optimization problem in responsive supply
chain and multi-criteria allocation and routing optimization
problem in distribution and sourcing channel in collaborative
supply chain are the new variants proposed in this research.
Vehicle Routing Problem (VRP) is an area which has been widely
dealt with for the last four decades. Methodologies have been
developed for many variants of the VRP. This work considers
concurrent and sequential delivery and pick-up in VRPs, encountered
in practice but rarely considered in theory. In addition,
constraints on maximum route length and on time-windows have also
been considered. Mathematical models incorporating such features
have been developed. While the NP-hardness of these problems
mandates the use of meta-heuristics, recognition of inherent
characteristics of the problem led to the development of
construction heuristics based on cluster analysis to obtain good
feeder solutions that speed up the intensive search at the end.
Genetic Algorithms (GA), an enhanced version of Simulated Annealing
(ESA) and a hybrid of the two are the meta-heuristics proposed for
optimization. The heuristics performed exceedingly well in the
evaluations, recording better or equally good results in comparison
to the existing methodologies.
With the growing awareness and popularity of environmental
preservation, research on green computing has gained recognition
around the world. Information technology must adopt initiatives in
making computers as energy-efficient as possible, as well as design
algorithms and systems for efficiency-related computer
technologies. International and Interdisciplinary Studies in Green
Computing provides coverage on strategic green issues and practices
for competitive advantages and cost-cutting in modern organisations
and business sectors in order to reach environmental goals.
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