A valuable tool for establishing and maintaining system reliability, overall equipment effectiveness (OEE) has proven to be very effective in reducing unscheduled downtime for companies around the world. So much so that OEE is quickly becoming a requirement for improving quality and substantiating capacity in leading organizations, as well as a required area of study for the ISO/TS 16949. Breaking down the methodology from a historical perspective, The OEE Primer: Understanding Overall Equipment Effectiveness, Reliability, and Maintainability explores the overall effectiveness of machines and unveils novel methods that focus on design improvement—including hazard analysis, rate of change of failure (ROCOF) analysis, failure rate finite element analysis (FEA), and theory of inventive problem solving (TRIZ). It covers loss of effectiveness, new machinery, electrical maintenance issues, Weibull distribution, measurement techniques, and mechanical and electrical reliability. The book also: Discusses Reliability and Maintainability (R&M), not as tools to be used in specific tasks, rather as a discipline Covers the application of OEE as an overall improvement tool Assesses existing and new equipment from classical, reliability, and maintainability perspectives Includes downloadable resources with more than 100 pages of appendices and additional resources featuring statistical tables, outlines, case studies, guidelines, and standards Introducing the classical approach to improvement, this book provides an understanding of exactly what OEE is and how it can be best applied to address capacity issues. Highlighting mechanical and electrical opportunities throughout, the text includes many tables, forms, and examples that clearly illustrate and enhance the material presented.

Operations Management is an area of business concerned with managing the process that converts inputs into outputs, in the form of goods and/or services. Increasingly complex environments together with the recent economic swings and substantially squeezed industrial margins put extra pressure on companies, and decision makers are pushed to increase operations efficiency and effectiveness. This book presents the contributions of a selected group of researchers, reporting new ideas, original results and practical experiences as well as systematizing some fundamental topics in Operations Management. Although it represents only a small sample of the research activity on Operations Management, people from diverse backgrounds, academia, industry and research as well as engineering students can take advantage of this volume.

From their initial focus in manufacturing, the industrial engineering principles, tools, and techniques have spread across a spectrum of application areas. Topics covered in this book apply to this continuum of application, including operations planning, safety, quality, production control, inventory management, operations research, supply chain management, and continuous improvement. This edited book comes at an opportune time. It incorporates new knowledge and expertise in a rapidly changing engineering discipline that is a vital force in a wide range of manufacturing, service, educational, and government organizations. Such concepts as lean systems, sustainability, systems thinking, data analytics, and additive manufacturing, as well as utilization of advanced computer software, have further expanded industrial engineering's breadth. Each chapter reflects important aspects of these advances.

This book gathers the refereed proceedings of the Artificial Intelligence and Industrial Applications (A2IA’2020), the first installment of an annual international conference organized by the ENSAM-Meknes at Moulay Ismail University, Morocco. The 30 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as smart manufacturing, smart maintenance, smart supply chain management, supervised learning, unsupervised learning, reinforcement learning, graph-based and semi-supervised learning, neural networks, deep learning, planning and optimization, and other AI applications. The book is intended for AI experts, offering them a valuable overview of the status quo and a global outlook for the future, with many new and innovative ideas and recent important developments in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject.

This book presents different techniques and methodologies that used to help improve the decision-making process and increase the likelihood of success in sector as follows: agriculture, financial services, logistics, energy services, health and others. This book collects and consolidates innovative and high-quality research contributions regarding the implementation techniques and methodologies applied in different industrial sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields as follows: supply chain, business intelligence, e-commerce, social media and others. The book contents are useful for Ph.D., Ph.D. students, master and undergraduate students, and professional and students in industrial engineering, computer science, information systems, data analytics and others.