An integrated Bayesian-Markovian framework for ascertaining cost of executing quality improvement programs in manufacturing industry

Purpose Typically, the budgetary requirements for executing a supplier’s process quality improvement program are often done in unstructured ways in that quality improvement managers purely use their previous experiences and pertinent historical information. In this backdrop, the purpose of this paper is to ascertain the expected cost of carrying out suppliers’ process quality improvement programs that are driven by original equipment manufacturers (OEMs). Design/methodology/approach Using inputs from experts who had prior experience executing suppliers’ quality improvement programs and employing the Bayesian theory, transition probabilities to various quality levels from an initial quality level are ascertained. Thereafter, the Markov chain concept enables the authors to determine steady-state probabilities. These steady-state probabilities in conjunction with quality level cost coefficients yield the expected cost of quality improvement programs. Findings The novel method devised in this research is a key contribution of the work. Furthermore, various implications related to experts’ inputs, dynamics related to Markov chain, etc., are discussed. The method is illustrated using a real life of automotive industry in India. Originality/value The research contributes to the extant literature in that a new method of determining the expected cost of quality improvement is proposed. Furthermore, the method would be of value to OEMs and suppliers wherein the quality levels at a given time are the function of quality levels in preceding period(s)

A fuzzy dynamic model for total quality cost

This paper presents a dynamic Quality Cost Model capable of reconciling contributions of Juran’s traditional Model with those of the Zero Defects Model. Here, the cost functions depend on a company’s level of conformance in each period and at which stage of the Maturity Grid a company is positioned. To determine the stage at which the company is positioned on Crosby’s Maturity Grid, expert’s opinions will be considered using fuzzy logic to incorporate Hidden Quality Costs in the failure costs calculated by the company. The model will introduce exponential regression (ER) using Induced Ordered Weighted Average (IOWA). The results show that the learning process present in the proposed model leads it to evolve over time to positions that bring to mind the Zero Defects model. However, as appreciated in the case study, it can also regress and introduce the organisation into a level of saturation where the Cost of Quality is optimised before reaching perfection

Proceedings of the 2nd Conference on Production Systems and Logistics (CPSL 2021)

Proceedings of the CPSL 202

A multi-criteria performance study of lean engineering

The context of product development (PD) in the aerospace sector is one of intense competitive pressure. To ensure the continued competitiveness of this industrial sector in Canada, enhancing the productivity of PD is an urgent necessity. Key tenets of lean include value, flow and continuous improvement. In the PD context, arguments have been made that lean is not minimizing cost, cycle time or waste, but maximizing value. The research reported in this thesis supports the overarching lean goal of continuously improving the value of information flow in PD by reducing span time. While lean has been used with much success in the manufacturing world, there is an absence of comprehensive models measuring the benefits of lean improvements in PD. The first major contribution to address is the development of a lean engineering multi-criteria performance model. In addition to the lean concept of `one piece flow', notions of economic order and production quantity are used in manufacturing to address the objective of flow improvement, and the related objective of inventory management. Equivalent economic design quantity concepts to address inventory of intellectual work in progress are lacking in PD. Thus, the second contribution of this work is the development of both analytical and experimental models to help ascertain the existence of optimal PD job size. The final contribution of this thesis is the development of lean decision-making models to enable optimal allocation of PD resources, supporting the lean objective of improving the value of information flo

Safety and Reliability - Safe Societies in a Changing World

The contributions cover a wide range of methodologies and application areas for safety and reliability that contribute to safe societies in a changing world. These methodologies and applications include: - foundations of risk and reliability assessment and management - mathematical methods in reliability and safety - risk assessment - risk management - system reliability - uncertainty analysis - digitalization and big data - prognostics and system health management - occupational safety - accident and incident modeling - maintenance modeling and applications - simulation for safety and reliability analysis - dynamic risk and barrier management - organizational factors and safety culture - human factors and human reliability - resilience engineering - structural reliability - natural hazards - security - economic analysis in risk managemen

Management: A bibliography for NASA Managers

This bibliography lists 707 reports, articles and other documents introduced into the NASA scientific and technology information system in 1985. Items are selected and grouped according to their usefulness to the manager as manager. Citations are grouped into ten subject categories: human factors and personnel issues; management theory and techniques; industrial management and manufacturing; robotics and expert systems; computers and information management; research and development; economics, costs, and markets; logistics and operations management; reliability and quality control; and legality, legislation, and policy

Auditing Symposium V: Proceedings of the 1980 Touche Ross/University of Kansas Symposium on Auditing Problems

Historical perspective of government auditing -- With special reference to the U.S general accounting office / Leo Herbert; Discussant\u27s response to an historical perspective of government auditing with special reference to the U.S General Accounting Office / Richard E. Brown; Critical requirements of a system of internal accounting control / Robert J. Sack; Discussant\u27s response to critical requirements of a system of internal accounting control / Jay M. Smith; Taxonomization of internal controls and errors for audit research / Miklos A. Vasarhelyi; Discussant\u27s response to taxonomization of internal controls and errors for audit research / John K. Wulff; Investigation of a measurement based approach to the evaluation of audit evidence / Theodore J. Mock, Arnold Wright; Discussant\u27s response to an investigation of a measurement based approach to the evaluation of audit evidence / Bart H. Ward; Authors\u27 reply to discussant\u27s response: An investigation of a measurement based approach to the evaluation of audit evidence / Theodore J. Mock, Arnold Wright; Look at the record on auditor detection of management fraud / Donald R. Ziegler; Discussant\u27s response to a look at the record on auditor detection of management fraud / Robert L. Grinaker; Auditing implications derived from a review of cases and articles relating to fraud / W. Steve Albrecht, Marshall B. Romney; Discussant\u27s response to auditing implications derived from a review of cases and articles related to fraud / Henry J. Murphy; Unique audit problems of small businesses that operate under managerial dominance / Dan M. Guy; Discussant\u27s response to unique audit problems of small businesses that operate under managerial dominance / Albert A. Armstrong; Accounting profession in the 1980\u27s -- Some SEC perspectives / George C. Mead;https://egrove.olemiss.edu/dl_proceedings/1004/thumbnail.jp

Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields

This book covers a broad range of research results in the field of Markov and Semi-Markov chains, processes, systems and related emerging fields. The authors of the included research papers are well-known researchers in their field. The book presents the state-of-the-art and ideas for further research for theorists in the fields. Nonetheless, it also provides straightforwardly applicable results for diverse areas of practitioners