Optimize Economic and Technological Requirements in Production System Designs This pioneering work offers proven techniques, partially created and developed at The Charles Stark Draper Laboratory, for determining optimal resource allocation and cost-effective production system designs for today’s any-volume manufacturing environments. Production Systems Engineering presents a unique methodology that synthesizes applicable technology with economic requirements for an integrated solution. Featuring real-world case studies, this authoritative resource establishes a new paradigm for the manufacturing world that can also be applied to other enterprise environments. Coverage includes: Determining an improved manufacturing system design method System design basics, time allocation, resources, costs, and quality rating Stochastic analyses added to deterministic results System configuration options Multiple disparate products produced by one system World class versus mostly manual systems Determining allowable investment Simultaneous improvement in yield and cycle-time

The first comprehensive book to uniquely combine the three fields of systems engineering, operations/production systems, and multiple criteria decision making/optimization Systems engineering is the art and science of designing, engineering, and building complex systems—combining art, science, management, and engineering disciplines. Operations and Production Systems with Multiple Objectives covers all classical topics of operations and production systems as well as new topics not seen in any similiar textbooks before: small-scale design of cellular systems, large-scale design of complex systems, clustering, productivity and efficiency measurements, and energy systems. Filled with completely new perspectives, paradigms, and robust methods of solving classic and modern problems, the book includes numerous examples and sample spreadsheets for solving each problem, a solutions manual, and a book companion site complete with worked examples and supplemental articles. Operations and Production Systems with Multiple Objectives will teach readers: How operations and production systems are designed and planned How operations and production systems are engineered and optimized How to formulate and solve manufacturing systems problems How to model and solve interdisciplinary and systems engineering problems How to solve decision problems with multiple and conflicting objectives This book is ideal for senior undergraduate, MS, and PhD graduate students in all fields of engineering, business, and management as well as practitioners and researchers in systems engineering, operations, production, and manufacturing.

This book provides a complete overview of production systems and describes the best approaches to analyze their performance. Written by experts in the field, this work also presents numerous techniques that can be used to describe, model, and optimize the performance of various types of production lines. The book is intended for researchers, production managers, and graduate students in industrial, mechanical, and systems engineering.

The most effective way to generate an estimate of a new product’s cost engineering change cost, or innovation cost is through a detailed cost investigation. Analysis of the available materials and processes leads to the most economical and financial decisions. Now in its third edition, Realistic Cost Estimating for Manufacturing has been used by students and practitioners since 1968 in this endeavor. Revised and expanded, the book recognizes the extremely important role estimating is playing in today’s highly competitive global economy. Realistic Cost Estimating for Manufacturing provides a survey of the myriad manufacturing processes and practices and combines this with in-depth explanations and examples of costing methods and tools. A comprehensive, standardized approach to their application is given. Among the manufacturing processes surveyed are: machining, casting, stamping, forging, welding, plastics technology, finishing, and rapid prototyping. To develop realistic baseline estimates, an engineering or costing professional must have an in-depth understanding of costing methods and techniques. As a fundamental reference, the book provides insight into the art, science, and functions of cost estimation in a wide range of activities: product design and manufacturing, engineering change control, proposal development, make or buy studies, identifying cost reduction opportunities, component costing, reverse engineering, benchmarking, and examining alternative processes, materials, machines, and tooling. As examples, it will aid the practitioner in efforts to justify the replacement or improvement of existing technology with new creative solutions; perform a feasibility study; develop a basis for cost-oriented decision support; improve supply chain evaluation and sourcing analysis; and minimize costs. The third edition has been greatly enhanced with new chapters and material dedicated to the roles of economics and finance, cost reduction, continuous improvement, plastic parts, electronics cost estimating, costing studies, advanced manufacturing processes, and quality costs. Further, the existing chapters have been significantly expanded to include new processes and operations and examples to enhance learning. Since nontraditional technology is widely applied in manufacturing, its costing aspects are also explored. Five Appendices provide additional information on productivity based on efficiency, cost reduction, matching part features to manufacturing processes, packaging cost, and inspection and measurement costs. As with its previous editions, instructors of cost estimating courses can rely on the book to provide a solid foundation for manufacturing engineering courses and programs of study. The book is also useful for on-the-job training courses for engineers, managers, estimators, designers, and practitioners. It can be applied in seminars and workshops specifically dedicated to product or component cost reduction, alternative cost analysis, engineering change cost control, or proposal development. As in the previous editions, there are multiple equations and calculation examples, as well as end-of-chapter questions to test student’s knowledge. An instructor’s guide is also available.

Design and Performance Optimization of Renewable Energy Systems provides an integrated discussion of issues relating to renewable energy performance design and optimization using advanced thermodynamic analysis with modern methods to configure major renewable energy plant configurations (solar, geothermal, wind, hydro, PV). Vectors of performance enhancement reviewed include thermodynamics, heat transfer, exergoeconomics and neural network techniques. Source technologies studied range across geothermal power plants, hydroelectric power, solar power towers, linear concentrating PV, parabolic trough solar collectors, grid-tied hybrid solar PV/Fuel cell for freshwater production, and wind energy systems. Finally, nanofluids in renewable energy systems are reviewed and discussed from the heat transfer enhancement perspective. Reviews the fundamentals of thermodynamics and heat transfer concepts to help engineers overcome design challenges for performance maximization Explores advanced design and operating principles for solar, geothermal and wind energy systems with diagrams and examples Combines detailed mathematical modeling with relevant computational analyses, focusing on novel techniques such as artificial neural network analyses Demonstrates how to maximize overall system performance by achieving synergies in equipment and component efficiency

TQM, Reengineering,Theory of Constraints, JIT,Six Sigma, Lean Manufacturing . . . These are just some of the methods that, overthe past five decades, have promised to transformany manufacturing firm into a lean, mean, moneymakingmachine. While each incorporates certainfundamental truths, strengths, and benefits, theyare not panaceas. Nor do they necessarily providemuch-needed insight into the science that underliesfactory performance. James Ignizio, Ph.D., an internationally recognizedperformance optimization expert, believesthat only a balanced approach will provide thesignificant and sustainable improvement requiredof firms who will survive and prosper in thetwenty-first century. In this breakthrough guide, Dr. Ignizio picks upwhere such concepts as Six Sigma and Lean Manufacturingleave off to provide you with a holistic,three-dimensional approach to mastering the artand science of manufacturing. Focusing on the three primary enemiesof factory performance—complexity, variability,and lackluster leadership—Optimizing FactoryPerformance cuts to the heart of the problem ofless-than-world-class performance and demonstrateshow those enemies manifest themselves incompanies across manufacturing sectors. Ignizioalso explores the insidious effect company politicsand flagging commitment to manufacturing performancehave on competitiveness. Emphasizing the all-important, often overlookedthird dimension of manufacturing—factoryprotocols—Ignizio describes the types of strategicand tactical changes to physical plant and operatingprocedures any company can make to achieveperformance improvements. In addition, he arms youwith powerful, original metrics for measuring andcomparing factory performance, as well as a set ofinteractive simulation models, available online atwww.mhprofessional.com/ignizio. Running throughout the book is an oftenamusing, always instructive account of the fictionalhigh-tech firm, Muddle, Inc., which helps supportthe concepts discussed in the real world of manufacturing,while reinforcing key lessons learned. Read Optimizing Factory Performance and findout how to transform your organization into the kindof fast, agile manufacturer that delivers the rightproducts to the right customers at the right time—every time.