Manufacturing and Production Engineering – serie

The objective of this book is to support readers facing the urgency, challenges, analysis, and methodologies to reconfiguration. It presents a comprehensive framework for reconfiguring manufacturing enterprises and provides a set of valuable conceptual frameworks and methodologies for analyzing, evaluating, and assessing reconfiguration indices.This book offers practical guidance for implementing the Fourth Industrial Revolution (Industry 4.0). It presents open-ended problems pertaining to the concepts covered in the book and provides a new approach for reconfiguring industrial systems. Not only is this book for industrialists and academics, it will also appeal to undergraduate and graduate students studying industrial, mechanical, and manufacturing engineering. Scholars and practitioners in operations management will also find this book of interest.

Project risk management is regarded as a necessary dimension of effective project delivery. Current practices tend to focus on tangible issues such as late delivery of equipment or the implications of technology. This book introduces a framework to identify emergent behavior-centric intangible risks and the conditions that initiate them.Decision Making in Risk Management: Quantifying Intangible Risk Factors in Projects identifies the quantitative measures to assess behavior-induced risks by presenting a framework that limits the interpersonal tension of addressing behavioral risks. Included in the book is an illustrative case study from the oil and gas sector that demonstrates the use of the framework. The missing dimension of behavior-centric intangible risk factors in current risk identification is explored. The book goes on to cover management processes, providing a systematic analytical approach to mitigate subjectivity when addressing behavioral risks in projects.This book is useful to those working in the fields of Project Management, Systems Engineering, Risk Management, and Behavioral Science.

Project risk management is regarded as a necessary dimension of effective project delivery. Current practices tend to focus on tangible issues such as late delivery of equipment or the implications of technology. This book introduces a framework to identify emergent behavior-centric intangible risks and the conditions that initiate them.Decision Making in Risk Management: Quantifying Intangible Risk Factors in Projects identifies the quantitative measures to assess behavior-induced risks by presenting a framework that limits the interpersonal tension of addressing behavioral risks. Included in the book is an illustrative case study from the oil and gas sector that demonstrates the use of the framework. The missing dimension of behavior-centric intangible risk factors in current risk identification is explored. The book goes on to cover management processes, providing a systematic analytical approach to mitigate subjectivity when addressing behavioral risks in projects.This book is useful to those working in the fields of Project Management, Systems Engineering, Risk Management, and Behavioral Science.

An important activity for an organization’s leaders and managers is making decisions associated with problem-solving. Making decisions is a complex endeavor where choices are made from courses of action where resources are limited and in the presence of constraints. Written as a guide, this book offers a quantitative approach to decision-making.The process of decision-making is presented from a holistic point of view. This book offers a basic understanding of the issues and processes involved in decision-making by presenting the tools associated with problem analysis, tools that enable developing choices, as well as tools used to normalize judgment criteria achievement so that they are comparable across measures using different scales. Several solution methods for decision problems that have one evaluation criterion are explained first. Methods for problems with multiple criteria for evaluating alternate solutions are discussed as well. The multiple criteria methods include those that do not require any explicit preference or trade-off information from the decision-maker and those that do require the decision-maker’s preference or trade-off information.The intended audience of the book includes technical and nontechnical professionals, managers, and supervisors at all levels, and engineering and business educators. The book would also be useful to undergraduate students, beginning graduate students, and recent graduates of professional programs, or in mathematics, computer science, natural sciences, and humanities.

An important activity for an organization’s leaders and managers is making decisions associated with problem-solving. Making decisions is a complex endeavor where choices are made from courses of action where resources are limited and in the presence of constraints. Written as a guide, this book offers a quantitative approach to decision-making.The process of decision-making is presented from a holistic point of view. This book offers a basic understanding of the issues and processes involved in decision-making by presenting the tools associated with problem analysis, tools that enable developing choices, as well as tools used to normalize judgment criteria achievement so that they are comparable across measures using different scales. Several solution methods for decision problems that have one evaluation criterion are explained first. Methods for problems with multiple criteria for evaluating alternate solutions are discussed as well. The multiple criteria methods include those that do not require any explicit preference or trade-off information from the decision-maker and those that do require the decision-maker’s preference or trade-off information.The intended audience of the book includes technical and nontechnical professionals, managers, and supervisors at all levels, and engineering and business educators. The book would also be useful to undergraduate students, beginning graduate students, and recent graduates of professional programs, or in mathematics, computer science, natural sciences, and humanities.

The objective of this book is to support readers facing the urgency, challenges, analysis, and methodologies to reconfiguration. It presents a comprehensive framework for reconfiguring manufacturing enterprises and provides a set of valuable conceptual frameworks and methodologies for analyzing, evaluating, and assessing reconfiguration indices.This book offers practical guidance for implementing the Fourth Industrial Revolution (Industry 4.0). It presents open-ended problems pertaining to the concepts covered in the book and provides a new approach for reconfiguring industrial systems. Not only is this book for industrialists and academics, it will also appeal to undergraduate and graduate students studying industrial, mechanical, and manufacturing engineering. Scholars and practitioners in operations management will also find this book of interest.

This book helps apply managerial accounting techniques to problems in areas including that of cost estimation, cost control, product pricing, and business segment discontinuation. It is a valuable resource for short-term courses and seminars conducted to train professionals and practitioners in engineering and manufacturing cost analysis.Cost Analysis for Engineers and Scientists introduces the fundamentals accounting information systems and manufacturing costs. It also presents product costing and manufacturing cost allocation to individual as well as joint products. The concepts and applications of cost-volume-profit and breakeven analysis for single-product and multiple-products are also discussed.It is intended for engineers, managers, and scientists to apply cost analysis techniques for assessing engineering and financial projects.A solutions manual and PowerPoint slides are available for qualified textbook adoption.

This book presents a fresh perspective by exploring the various layers of sustainability within the whole manufacturing and incorporating Industry 4.0 and smart manufacturing principles. The concept can be applied to manufacturing systems, focusing on core, chosen, and given layers. Each layer of the system manufacturing can be analyzed independently to identify key components and evaluate their sustainability impact.Sustainability 4.0: Objectives, Challenges, and Expectations provides a thorough examination and profound understanding of Sustainability 4.0, a crucial goal set forth by the United Nations (UN). This book introduces an innovative index created to measure sustainability and sustainable development within manufacturing enterprise systems. The index evaluates machine design, manufacturing processes, and manufacturing systems. A distinct methodology is outlined also for assessing an enterprise’s sustainability concerning Industry 4.0 including emerging technologies, technology selection, adoption, and site readiness and implementation. This book discusses the impact of emerging technologies associated with Industry 4.0 on sustainability practices, as well as a flexible framework for evaluating the sustainability of operations amidst technological advancements and evolving industry standards.This book is recommended as a valuable reference for senior‑year undergraduate students, graduate students, postgraduate students, academic researchers, and industrial practitioners. The insights offered within its pages are particularly beneficial for technical audiences in search of solutions, case studies, and prototype implementations.