A. V. Feigenbaum

Bio: A. V. Feigenbaum is an academic researcher. The author has contributed to research in topics: Quality (business) & Total quality management. The author has an hindex of 7, co-authored 8 publications receiving 1938 citations.

Total quality control

Abstract: This is a text on achieving profitability through quality, updated for the global marketplace of the 1990s. Principles are put into practice and the two critical success factors are fully explored: how to build quality controls into every phase of operations - product and service development, production, engineering, marketing, distribution, sales, customer service; and how to drive communication and the implementation of quality control strategies down and across organizational lines, mobilizing commitment at every level. For this revised third edition, the author has added a discussion of the significance of quality control to corporate profitability; 12 benchmarks for quality control in the 1990s; and four management principles for achieving a total quality orientation. Topics are brought to life with practical examples and more than 200 illustrations.

The new quality for the twenty‐first century

Abstract: General Systems Company, Inc. has been directing its experience in installing quality systems throughout the world, as well as its research department’s focus on the development of new quality system strengths, to support and implement the quality growth opportunities of the twenty‐first century. The key is transforming quality from the past emphasis upon the reduction of things gone wrong for the customer, to emphasis upon the increase in things gone right for the customer, with the consequent improvement in sales and revenue growth. This customer value enhancement objective is a fundamentally new, different and much more effective business quality goal to drive the organization’s work from product and service design and development to customer satisfaction. For many organizations this requires a basic change in their business orientation and in their quality systems. Describes this new quality discipline, termed Total Quality System 2000 and its ten systems powers.

Performance measurement system design: A literature review and research agenda

Abstract: The importance of performance measurement has long been recognized by academics and practitioners from a variety of functional disciplines. Seeks to bring together this diverse body of knowledge into a coherent whole. To ensure that the key issues are identified, focuses on the process of performance measurement system design, rather than the detail of specific measures. Following a comprehensive review of the literature, proposes a research agenda.

Toyota production system

Abstract: The Toyota production System is a technology of comprehensive production management the Japanese invented a hundred years after opening up to the modern world. More than likely, another gigantic advance in production methods will not appear for some time to come.

Integrated Manufacturing and Human Resource Management: A Human Capital Perspective

Abstract: This study examined the relationship between integrated manufacturing, defined as the use of advanced manufacturing technology (AMT), just-in-time inventory control (JIT), and total quality managem...

Optimal Lot Sizing, Process Quality Improvement and Setup Cost Reduction

Abstract: This paper seeks to demonstrate that lower setup costs can benefit production systems by improving quality control. It does so by introducing a simple model that captures a significant relationship between quality and lot size: while producing a lot, the process can go "out of control" with a given probability each time it produces another item. Once out of control, the process produces defective units throughout its production of the current lot. The system incurs an extra cost for rework and related operations for each defective piece that it produces. Thus, there is an incentive to produce smaller lots, and have a smaller fraction of defective units. The paper also introduces three options for investing in quality improvements: i reducing the probability that the process moves out of control which yields fewer defects, larger lot sizes, fewer setups, and larger holding costs; ii reducing setup costs which yields smaller lot sizes, lower holding costs, and fewer defects; and iii simultaneously using the two previous options. By assuming a specific form of the investment cost function for each option, we explicitly obtain the optimal investment strategy. We also briefly discuss the sensitivity of these solutions to changes in underlying parameter values. A numerical example illustrates the results.

Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing

Abstract: Understanding the successful adoption of information technology is largely based upon understanding the linkages among quality, satisfaction, and usage. Although the satisfaction and usage constructs have been well studied in the information systems literature, there has been only limited attention to information and system quality over the past decade. To address this shortcoming, we developed a model consisting of nine fundamental determinants of quality in an information technology context, four under the rubric of information quality (the output of an information system) and five that describe system quality (the information processing system required to produce the output). We then empirically examined the aptness of our model using a sample of 465 data warehouse users from seven different organizations that employed report-based, query-based, and analytical business intelligence tools. The results suggest that our determinants are indeed predictive of overall information and system quality in data warehouse environments, and that our model strikes a balance between comprehensiveness and parsimony. We conclude with a discussion of the implications for both theory and the development and implementation of information technology applications in practice.