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Engineering Administration
Author: United States. Bureau of Naval Personnel
Publisher:
Published: 1969
Total Pages: 248
ISBN-13:
DOWNLOAD EBOOK →This book is intended to acquaint naval engineering officers with their duties in the engineering department. Standard shipboard organizations are analyzed in connection with personnel assignments, division operations, and watch systems. Detailed descriptions are included for the administration of directives, ship's bills, damage control, training exercises, shipboard maintenance, record and report systems, supply forms, engineering readiness and preparedness, gasoline and fuel oil stowage, and shipwork and repair activities during availabilities. Information concerning the procurement, laying up, and trial of ships is also included. Moreover, illustrations are provided for explanation use.
Submarine Engineering Administration
Author: United States. Bureau of Naval Personnel
Publisher:
Published: 1967
Total Pages: 82
ISBN-13:
DOWNLOAD EBOOK →Implementation of Federal Highway Administration Construction Engineering Management System
Engineering Administration
Facilities Engineering and Management Handbook
Author: Paul Richard Smith
Publisher: McGraw-Hill Professional Publishing
Published: 2001-01-01
Total Pages: 1200
ISBN-13: 9780070593237
DOWNLOAD EBOOK →Get the big picture in facility management and engineering for greater safety, efficiency, and economy A complete desktop reference, Facilities Engineering and Management Handbook -- by Paul Smith, Anand Seth, Roger Wessel, David Stymiest, William Porter and Mark Neitlich -- gives you all the tools you need for analyzing, comparing, anticipating, and managing the implications of engineering, maintenance, operating, and design decisions, and integrating facility systems for best results. The Handbook's life-cycle approach helps you put all relevant issues in context -- cost, durability, maintainability, operability, safety, and more -- so you can: Make farsighted, well-integrated decisions Coordinate architectural, structural, mechanical, electrical, HVAC, control instrumentation, and other needs in any type of building Handle today's concerns and technologies, such as smart buildings and telecommunications networks Visualize solutions with hundreds of illustrations Find information on all needed codes and standards governing facility design, installation, operation, and maintenance Evaluate loads on mechanical and other systems Use computer-aided systems Prepare a whole-facility economic analysis Apply useful guidance on complex specialized facilities, such as airports and industrial process plants—plus integrated complexes such as malls and government installations Plan for and integrate fire, safety, security, data, communications, lightning, controls, fuel, power, plumbing, and many other types of systems
Management Engineering
Healthcare Management Engineering: What Does This Fancy Term Really Mean?
Author: Alexander Kolker
Publisher: Springer Science & Business Media
Published: 2011-12-02
Total Pages: 138
ISBN-13: 1461420687
DOWNLOAD EBOOK →This Briefs Series book illustrates in depth a concept of healthcare management engineering and its domain for hospital and clinic operations. Predictive and analytic decision-making power of management engineering methodology is systematically compared to traditional management reasoning by applying both side by side to analyze 26 concrete operational management problems adapted from hospital and clinic practice. The problem types include: clinic, bed and operating rooms capacity; patient flow; staffing and scheduling; resource allocation and optimization; forecasting of patient volumes and seasonal variability; business intelligence and data mining; and game theory application for allocating cost savings between cooperating providers. Detailed examples of applications are provided for quantitative methods such as discrete event simulation, queuing analytic theory, linear and probabilistic optimization, forecasting of a time series, principal component decomposition of a data set and cluster analysis, and the Shapley value for fair gain sharing between cooperating participants. A summary of some fundamental management engineering principles is provided. The goal of the book is to help to bridge the gap in mutual understanding and communication between management engineering professionals and hospital and clinic administrators. The book is intended primarily for hospital/clinic leadership who are in charge of making managerial decisions. This book can also serve as a compendium of introductory problems/projects for graduate students in Healthcare Management and Administration, as well as for MBA programs with an emphasis in Healthcare.
Engineering Management
Author: Fausto Pedro García Márquez
Publisher: BoD – Books on Demand
Published: 2013-03-06
Total Pages: 244
ISBN-13: 9535110373
DOWNLOAD EBOOK →The Engineering Management book synthesises the engineering principles with business practice, i.e. the book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of management. It is complementary to other sub-disciplines such as economics, finance, marketing, decision and risk analysis, etc. This book is intended for engineers, economics and researchers who are developing new advances in engineering management, or who employ the engineering management discipline as part of their work. The authors of this volume describe their pioneering work in the area or provide material for case studies successfully applying the engineering management discipline in real life cases.
Engineering Decision Making and Risk Management
Author: Jeffrey W. Herrmann
Publisher: John Wiley & Sons
Published: 2015-04-06
Total Pages: 355
ISBN-13: 1118919335
DOWNLOAD EBOOK →IIE/Joint Publishers Book of the Year Award 2016! Awarded for ‘an outstanding published book that focuses on a facet of industrial engineering, improves education, or furthers the profession’. Engineering Decision Making and Risk Management emphasizes practical issues and examples of decision making with applications in engineering design and management Featuring a blend of theoretical and analytical aspects, this book presents multiple perspectives on decision making to better understand and improve risk management processes and decision-making systems. Engineering Decision Making and Risk Management uniquely presents and discusses three perspectives on decision making: problem solving, the decision-making process, and decision-making systems. The author highlights formal techniques for group decision making and game theory and includes numerical examples to compare and contrast different quantitative techniques. The importance of initially selecting the most appropriate decision-making process is emphasized through practical examples and applications that illustrate a variety of useful processes. Presenting an approach for modeling and improving decision-making systems, Engineering Decision Making and Risk Management also features: Theoretically sound and practical tools for decision making under uncertainty, multi-criteria decision making, group decision making, the value of information, and risk management Practical examples from both historical and current events that illustrate both good and bad decision making and risk management processes End-of-chapter exercises for readers to apply specific learning objectives and practice relevant skills A supplementary website with instructional support material, including worked solutions to the exercises, lesson plans, in-class activities, slides, and spreadsheets An excellent textbook for upper-undergraduate and graduate students, Engineering Decision Making and Risk Management is appropriate for courses on decision analysis, decision making, and risk management within the fields of engineering design, operations research, business and management science, and industrial and systems engineering. The book is also an ideal reference for academics and practitioners in business and management science, operations research, engineering design, systems engineering, applied mathematics, and statistics.
