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Books > Business & Economics > Business & management > Management & management techniques > Operational research
Supply chain management in the construction industry has passed
through different eras - yet throughout, the construction industry
has experienced fragmentation, late project delivery and other
Gordian Knots due to its slow adoption of innovative modern
technologies and principles in the supply chain processes.
Addressing the need to harmonise the construction supply chain and
establish the industry as the lynchpin of the economy, Construction
Supply Chain Management in the Fourth Industrial Revolution Era
acts as a roadmap, re-aligning the activities of the construction
supply chain stakeholders with the principles and tenets of
Industry 4.0. Gathering evidence on both the benefits and
disruptive potentials within the current construction supply chain
management domain, this collection determines the acceptable
practice and standard for regulatory bodies and managers, appealing
also to researchers as it expands the frontiers of knowledge in the
fourth industrial era.
Technological advancements in recent years have led to significant
developments within a variety of business applications. In
particular, data-driven research provides ample opportunity for
enterprise growth, if utilized efficiently. Supply Chain Management
in the Big Data Era is an authoritative reference source for the
latest scholarly material on the implementation of big data
analytics for improved operations and supply chain processes.
Highlighting emerging strategies from different industry
perspectives, this book is ideally designed for managers,
professionals, practitioners, and students interested in the most
recent research on supply chain innovations.
This proceedings volume presents recent theoretical and practical
advances in operational research (OR). The papers focus on a number
of key areas including combinatorial optimization, integer
programming, heuristics, and mathematical programming. In addition,
this volume highlights OR applications in different areas such as
financial decision making, marketing, e-business, project
management, scheduling, traffic and transportation. The chapters
are based on papers presented at the 13th Balkan Conference on
Operations Research (BALCOR). BALCOR is an established biennial
conference. The selected papers promote international collaboration
among researchers and practitioners, with a particular focus on the
Balkan countries.
Probabilistic modeling represents a subject spanning many branches
of mathematics, economics, and computer science to connect pure
mathematics with applied sciences. Operational research also relies
on this connection to enable the improvement of business functions
and decision making. Analyzing Risk through Probabilistic Modeling
in Operations Research is an authoritative reference publication
discussing the various challenges in management and decision
science. Featuring exhaustive coverage on a range of topics within
operational research including, but not limited to, decision
analysis, data mining, process modeling, probabilistic
interpolation and extrapolation, and optimization methods, this
book is an essential reference source for decision makers,
academicians, researchers, advanced-level students, technology
developers, and government officials interested in the
implementation of probabilistic modeling in various business
applications.
Alarm or alert detection remains an issue in various areas from
nature, i.e. flooding, animals or earthquake, to software systems.
Liveness, dynamicity, reactivity of alarm systems: how to ensure
the warning information reach the right destination at the right
moment and in the right location, still being relevant for the
recipient, in spite of the various and successive filters of
confidentiality, privacy, firewall policies, etc.? Also relevant in
this context are to technical contingency issues: material failure,
defect of connection, break of channels, independence of
information routes and sources? Alarms with crowd media,
(mis)information vs. rumours: how to make the distinction? The
prediction of natural disasters (floods, avalanches, etc.), health
surveillance (affectionate fevers of cattle, pollution by
pesticides, etc.), air, sea and land transport, or space
surveillance to prevent Risks of collisions between orbital objects
involve more and more actors within Information Systems, one of
whose purposes is the dissemination of alerts. By expanding the
capabilities and functionality of such national or international
systems, social networks are playing a growing role in
dissemination and sharing, eg. with the support of systems like the
Google Alert (https://www.google.fr/alerts) which concerns the
publication of contents online. Recently, the Twitter microblogging
platform announced a broadcast service, designed to help government
organizations with alerts to the public. The proper functioning of
such systems depends on fundamental properties such as resilience,
liveliness and responsiveness: any alert must absolutely reach the
right recipient at the right time and in the right place, while
remaining relevant to him, despite the various constraints. on the
one hand to external events, such as hardware failures, connection
faults, breaks in communication channels, on the other hand to
confidentiality, such as the collection and use of personal data
(with or without the consent of the user), or the disparity of
access policies (generation according to industrial, technological,
security constraints, management of internal / external policies,
etc.) between actors. This book opens the discussion on the
"procrastination", the dynamics and the reactivity of the alert
systems, but also the problems of confidentiality, filtering of
information, and the means of distinguishing information and rumor.
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Mathematics and Computing
- ICMC 2018, Varanasi, India, January 9-11, Selected Contributions
(Hardcover, 1st ed. 2018)
Debdas Ghosh, Debasis Giri, Ram. N. Mohapatra, Kouichi Sakurai, Ekrem Savas, …
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This book discusses recent advances and research in applied
mathematics, statistics and their applications in computing. It
features papers presented at the fourth conference in the series
organized at the Indian Institute of Technology (Banaras Hindu
University), Varanasi, India, on 9 - 11 January 2018 on areas of
current interest, including operations research, soft computing,
applied mathematical modelling, cryptology, and security analysis.
The conference has emerged as a powerful forum, bringing together
leading academic scientists, experts from industry, and researchers
and offering a venue to discuss, interact and collaborate to
stimulate the advancement of mathematics and its applications in
computer science. The education of future consumers, users,
producers, developers and researchers of mathematics and its
applications is an important challenge in modern society, and as
such, mathematics and its application in computer science are of
vital significance to all spectrums of the community, as well as to
mathematicians and computing professionals across different
educational levels and disciplines. With contributions by leading
international experts, this book motivates and creates interest
among young researchers.
This book provides an interdisciplinary approach to complexity,
combining ideas from areas like complex networks, cellular
automata, multi-agent systems, self-organization and game theory.
The first part of the book provides an extensive introduction to
these areas, while the second explores a range of research
scenarios. Lastly, the book presents CellNet, a software framework
that offers a hands-on approach to the scenarios described
throughout the book. In light of the introductory chapters, the
research chapters, and the CellNet simulating framework, this book
can be used to teach undergraduate and master's students in
disciplines like artificial intelligence, computer science, applied
mathematics, economics and engineering. Moreover, the book will be
particularly interesting for Ph.D. and postdoctoral researchers
seeking a general perspective on how to design and create their own
models.
Totally Awesome Stephen Monaco offers a comprehensive guide to
social media marketing in Insightful Knowledge. He changes
perceptions on social media marketing and tell readers how to
develop their marketing strategies. Since social media needs to be
part of your marketing efforts, read this book Monica Cornetti -
Leading Authority on Entrepreneurial Thinking, and Author of Your
Face Isn't Finished Until Your Lipstick is On YOU NEED THIS BOOK
IF... you don't know where to start with your social media
initiatives you've started your social media initiatives but aren't
sure if you're on the right track your social media initiatives are
in place and you believe you're on the right track none of your
social media initiatives are directly tied to specific business
objectives you fail to use social media monitoring / listening
platforms in your social media you don't know what consumers are
saying about your brand online you don't have a comprehensive Voice
of Customer program in place you're not engaging consumers with
relevant content across multiple platforms your company is driven
by sales, rather than by marketing the breakneck tempo of today's
business makes it difficult to adapt and keep up with change you no
longer know how to reach potential customers
The third edition of this handbook is designed to provide a broad
coverage of the concepts, implementations, and applications in
metaheuristics. The book's chapters serve as stand-alone
presentations giving both the necessary underpinnings as well as
practical guides for implementation. The nature of metaheuristics
invites an analyst to modify basic methods in response to problem
characteristics, past experiences, and personal preferences, and
the chapters in this handbook are designed to facilitate this
process as well. This new edition has been fully revised and
features new chapters on swarm intelligence and automated design of
metaheuristics from flexible algorithm frameworks. The authors who
have contributed to this volume represent leading figures from the
metaheuristic community and are responsible for pioneering
contributions to the fields they write about. Their collective work
has significantly enriched the field of optimization in general and
combinatorial optimization in particular.Metaheuristics are
solution methods that orchestrate an interaction between local
improvement procedures and higher level strategies to create a
process capable of escaping from local optima and performing a
robust search of a solution space. In addition, many new and
exciting developments and extensions have been observed in the last
few years. Hybrids of metaheuristics with other optimization
techniques, like branch-and-bound, mathematical programming or
constraint programming are also increasingly popular. On the front
of applications, metaheuristics are now used to find high-quality
solutions to an ever-growing number of complex, ill-defined
real-world problems, in particular combinatorial ones. This
handbook should continue to be a great reference for researchers,
graduate students, as well as practitioners interested in
metaheuristics.
This book reports the best practices that companies established in
Latin America are implementing in their manufacturing processes in
order to generate high quality products and stay in the market. It
lists the technologies, production and administrative philosophies
that are being implemented, presenting a collection of successful
cases of studies from Latin America. The book describes how the
tools and techniques are being integrated, modified and combined to
create new technical resources for assisting the decision making
process for better economic performance in manufacturing companies.
The efforts deployed for assisting the transformation of raw
materials into products and services are described. The authors
explain the main key success factors or drivers for success of each
tool, technique or hybrid combination approach applied to solve
manufacturing problems.
The purpose of this book is to present a comprehensive review of
the latest research and development trends at the international
level for modeling and optimization of the supplier selection
process for different industrial sectors. It is targeted to serve
two audiences: the MBA and PhD student interested in procurement,
and the practitioner who wishes to gain a deeper understanding of
procurement analysis with multi-criteria based decision tools to
avoid upstream risks to get better supply chain visibility. The
book is expected to serve as a ready reference for supplier
selection criteria and various multi-criteria based supplier's
evaluation methods for forward, reverse and mass customized supply
chain. This book encompasses several criteria, methods for supplier
selection in a systematic way based on extensive literature review
from 1998 to 2012. It provides several case studies and some useful
links which can serve as a starting point for interested
researchers. In the appendix several computer code written in
MatLab and VB.NET is also included for the interested reader. Lucid
explosion of various techniques used to select and evaluate
suppliers is one of the unique characteristic of this book.
Moreover, this book gives in depth analysis of selection and
evaluation of suppliers for traditional supply chain, closed loop
supply chain, supply chain for customized product, green supply
chain, sustainable supply chain and also depicts methods for supply
base reduction and selection of large number of suppliers.
This book introduces readers to the use of R codes for optimization
problems. First, it provides the necessary background to understand
data envelopment analysis (DEA), with a special emphasis on fuzzy
DEA. It then describes DEA models, including fuzzy DEA models, and
shows how to use them to solve optimization problems with R.
Further, it discusses the main advantages of R in optimization
problems, and provides R codes based on real-world data sets
throughout. Offering a comprehensive review of DEA and fuzzy DEA
models and the corresponding R codes, this practice-oriented
reference guide is intended for masters and Ph.D. students in
various disciplines, as well as practitioners and researchers.
In 2009 three consultants, green to the consulting industry were
tasked with a new challenge, the activation and licensing of a new,
100 bed hospital, in only 90 days. Pulling from concept of "Day in
the Life" simulations used in the military, the Hospital Incident
Command System (HICS), and adult learning theories the consultants
developed a method that healthcare facilities could use to ensure
readiness. Thus, was born the concept of Dress Rehearsal. A Guide
to Healthcare Facility Dress Rehearsal Simulation Planning:
Simplifying the Complex provides a step-by-step scalable framework
to coordinate an Interdisciplinary Dress Rehearsal event for a
project or facility of any size. Developed for use as a resource
throughout your Dress Rehearsal journey, each chapter of this guide
builds upon the last and should be read in succession. We hope you
leverage our lessons learned and experience and apply them to your
facility to support a safe Day 1 activation.
This book contains the proceedings of the Seventh National
Conference of the Italian Systems Society. The title, Systemics of
Incompleteness and Quasi-Systems, aims to underline the need for
Systemics and Systems Science to deal with the concepts of
incompleteness and quasiness. Classical models of Systemics are
intended to represent comprehensive aspects of phenomena and
processes. They consider the phenomena in their temporal and
spatial completeness. In these cases, possible incompleteness in
the modelling is assumed to have a provisional or practical nature,
which is still under study, and because there is no theoretical
reason why the modelling cannot be complete. In principle, this is
a matter of non-complex phenomena, to be considered using the
concepts of the First Systemics. When dealing with emergence, there
are phenomena which must be modelled by systems having multiple
models, depending on the aspects being taken into consideration.
Here, incompleteness in the modelling is intrinsic, theoretically
relating changes in properties, structures, and status of system.
Rather than consider the same system parametrically changing over
time, we consider sequences of systems coherently. We consider
contexts and processes for which modelling is incomplete, being
related to only some properties, as well as those for which such
modelling is theoretically incomplete-as in the case of processes
of emergence and for approaches considered by the Second Systemics.
In this regard, we consider here the generic concept of quasi
explicating such incompleteness. The concept of quasi is used in
various disciplines including quasi-crystals, quasi-particles,
quasi-electric fields, and quasi-periodicity. In general, the
concept of quasiness for systems concerns their continuous
structural changes which are always meta-stable, waiting for events
to collapse over other configurations and possible forms of
stability; whose equivalence depends on the type of phenomenon
under study. Interest in the concept of quasiness is not related to
its meaning of rough approximation, but because it indicates an
incompleteness which is structurally sufficient to accommodate
processes of emergence and sustain coherence or generate new,
equivalent or non-equivalent, levels. The conference was devoted to
identifying, discussing and understanding possible
interrelationships of theoretical disciplinary improvements,
recognised as having prospective fundamental roles for a new
Quasi-Systemics. The latter should be able to deal with problems
related to complexity in more general and realistic ways, when a
system is not always a system and not always the same system. In
this context, the inter-disciplinarity should consist, for
instance, of a constructionist, incomplete, non-ideological,
multiple, contradiction-tolerant, Systemics, always in progress,
and in its turn, emergent.
This textbook provides an introduction to the growing
interdisciplinary field of computational science. It combines a
foundational development of numerical methods with a variety of
illustrative applications spread across numerous areas of science
and engineering. The intended audience is the undergraduate who has
completed introductory coursework in mathematics and computer
science. Students gain computational acuity by authoring their own
numerical routines and by practicing with numerical methods as they
solve computational models. This education encourages students to
learn the importance of answering: How expensive is a calculation,
how trustworthy is a calculation, and how might we model a problem
to apply a desired numerical method? The text is written in two
parts. Part I provides a succinct, one-term inauguration into the
primary routines on which a further study of computational science
rests. The material is organized so that the transition to
computational science from coursework in calculus, differential
equations, and linear algebra is natural. Beyond the mathematical
and computational content of Part I, students gain proficiency with
elemental programming constructs and visualization, which are
presented in MATLAB syntax. The focus of Part II is modeling,
wherein students build computational models, compute solutions, and
report their findings. The models purposely intersect numerous
areas of science and engineering to demonstrate the pervasive role
played by computational science.
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