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Matthew J. Liberatore Department of Management Villanova University Villanova, PA 19085 1. BACKGROUND The weakening competitive position of many segments of u.s. manufacturing has been analyzed, debated and discussed in corporate boardrooms, academic journals and the popular literature. One result has been a renewed commitment toward improving productivity and quality in the workplace. The drive to reduce manufacturing related costs, while meeting ever-changing customer needs, has led many firms to consider more automated and flexible manufacturing systems. The extent to which these new technologies can support business goals in productivity, quality and flexibility is an especially important issue for manufacturing firms in the u.s. and other Western nations. Problems have arisen in developing performance measures and evaluation criteria which reflect the full range of costs and benefits associated with these technologies. Some would argue that managerial policies and attitudes, and not the shortcomings of the equipment or manufacturing processes, are the major impediments to implementation (Kaplan 1984).

Competence in investment analysis is now a basic requirement for most practicing managers, engineers, and financial analysts in order to avoid possible serious mistakes arising from flawed or inadequate knowledge of the discipline. Furthermore, individuals who make decisions based on technical economics stake their professional futures, in many cases, on the accuracy of such evaluations. The aim of this volume is to provide a balanced view of the essential components of economic and financial analysis including: 1. Strategic and design issues; 2. Principles of cost management systems and activity-based costing, and; 3. Tools for developing the financial measures of investment worth, with advanced topics and case studies in these three areas.This volume provides a refreshing insight into the various methods that engineers, managers, and financial analysts may need to consider to find good alternatives for the investment of scarce resources. Not only are new ventures presented, but also improvements within existing facilities that include process modification, product design, equipment replacement, and plant expansion/contraction.

The 1980s have witnessed a tremendous growth in the field of computer integrated manufacturing systems. The other major areas of development have been computer-aided design, computer-aided manufacturing, industrial robotics, automated assembly, cellular and modular material handling, computer networking and office automation to name just a few. These new technologies are generally capital intensive and do not conform to traditional cost structures. The net result is a tremendous change in the way costs should be estimated and economic analyses performed. The majority of existing engineering economy texts still profess application of traditional analysis methods. But, as was men tioned above, it is clear that the basic trend in manufacturing industries is itself changing. So it is quite obvious that the practice of traditional economic analysis methods should change too. This book is an attempt to address the various issues associated with non-traditional methods for evaluation of advanced computer-integrated technologies. This volume consists of twenty refereed articles which are grouped into five parts. Part one, Economic Justification Methods, consists of six articles. In the first paper, Soni et at. present a new classification for economic justification methods for advanced automated manufacturing systems. In the second, Henghold and LeClair look at strengths and weaknesses of expert systems in general and more specifically, an ap plication aimed at investment justification in advanced technology. The third paper, by Carrasco and Lee, proposes an enhanced economic methodology to improve the needs analysis, conceptual design and de tailed design activities associated with technology modernization.

Matthew J. Liberatore Department of Management Villanova University Villanova, PA 19085 1. BACKGROUND The weakening competitive position of many segments of u.s. manufacturing has been analyzed, debated and discussed in corporate boardrooms, academic journals and the popular literature. One result has been a renewed commitment toward improving productivity and quality in the workplace. The drive to reduce manufacturing related costs, while meeting ever-changing customer needs, has led many firms to consider more automated and flexible manufacturing systems. The extent to which these new technologies can support business goals in productivity, quality and flexibility is an especially important issue for manufacturing firms in the u.s. and other Western nations. Problems have arisen in developing performance measures and evaluation criteria which reflect the full range of costs and benefits associated with these technologies. Some would argue that managerial policies and attitudes, and not the shortcomings of the equipment or manufacturing processes, are the major impediments to implementation (Kaplan 1984).