Introduction to quality engineering : designing quality into products and processes

Contents: Variety and Quality. Variability loss and tolerance. Determining tolerances. Tolerance design and experimental design. Offline and online quality control. Parameter design and tolerance design: case study. Experimental design for smaller is better characteristics. Experimental design for larger is better characteristics. Bypassing the S/N ratio: spring experiment. Experimental design for dynamic characteristics.

Introduction to quality engineering. designing quality into products a

Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region

The airline service quality is an important issue in the international air travel transportation industry. Although a number of studies focus on the subject of airline service quality evaluation in the past, most of these studies applied the SERVQUAL method to evaluate the airline service quality. But only few have attempted to evaluate the airline service quality using the weighted SERVQUAL method. Furthermore, human judgments are often vague and it is not easy for passengers to express the weights of evaluation criteria and the satisfaction of airline service quality using an exact numerical value. It is more realistic to use linguistic terms to describe the expectation value, perception value and important weight of evaluation criteria. Due to this type of existing fuzziness in the airline service quality evaluation, fuzzy set theory is an appropriate method for dealing with uncertainty. The subjective evaluation data can be more adequately expressed in linguistic variables. Thus this article attempts to fill this gap in the current literature by establishing a fuzzy weighted SERVQUAL model for evaluating the airline service quality. A case study of Taiwanese airline is conduced to demonstrate the effectiveness of the fuzzy weighted SERVQUAL model. Finally, some interesting conclusions and useful suggestions are given to airlines to improve the service quality.

An evaluation of airline service quality using the fuzzy weighted SERVQUAL method

Quality Planning and Analysis

An expression of the term "economics of quality' has gone beyond the widely used term of "quality cost'. Traditionally, every time work is redone or when an attempt is made to screen out defects, the cost of quality increases. However, the costs of handling such problems go beyond visible costs of activities like inspection and testing. Conventional cost accounting fails to provide manufacturers with reliable cost information due to the inability of counting so-called invisible and, in particular, intangible costs, and thus there is inaccuracy in calculating overheads. This paper presents an empirical model of the economics of quality as a function of two main components: traditional prevention-appraisal-failure expenses and hidden-opportunity quality loss costs. This process-cost approach looks at costs for a process that allows tracking costs normally associated with production in addition to those traditionally associated with quality. By this approach, it can help manufacturers to view a clearer pictu...

The development of an economic quality cost model

Potential of many new manufacturing systems is being roadblocked in many cases by the wrongful use of traditional justification methods. Since, these new systems can offer not only the financial benefits but also longer-term strategic benefits. Thus, piece-by-piece traditional justification approaches, overemphasising short-term saving in direct manufacturing costs rather than longer term company strategic benefits, need to be modified to be able to evaluate those benefits which are long-term and perhaps intangible. The study also presents a further step by introducing the concept of fuzzy set theory in overcoming the precision-based evaluation. Results from this approach present a better understanding of each alternative and an easier approach to decision makers for evaluating issues which cannot be precisely defined.

An integrated fuzzy multi-criteria decision making method for manufacturing strategies

Social entrepreneurship can be represented as a transitional vehicle that serves for creating shared value among an entrepreneur, society and the environment. Social entrepreneurship is a sub-disci...

Examining Capabilities of Social Entrepreneurship for Shared Value Creation

Models that aim to optimize the design of supply chain networks have gained more interest in the supply chain literature. Mixed-integer linear programming and discrete-event simulation are widely used for such an optimization problem. We present a hybrid approach to support decisions for supply chain network design using a combination of analytical and discrete-event simulation models. The proposed approach is based on iterative procedures until the difference between subsequent solutions satisfies the pre-determined termination criteria. The effectiveness of proposed approach is illustrated by an example, which shows closer to optimal results with much faster solving time than the results obtained from the conventional simulation-based optimization model. The efficacy of this proposed hybrid approach is promising and can be applied as a powerful tool in designing a real supply chain network. It also provides the possibility to model and solve more realistic problems, which incorporate dynamism and uncertainty.

/pdf/optimal-design-of-supply-chain-network-under-uncertainty-4n4os1u07y.pdf

Optimal design of supply chain network under uncertainty environment using hybrid analytical and simulation modeling approach

The impact of proactive corporate social responsibility on a firm’s financial performance has received considerable attention. Grounded in the knowledge-based view (KBV), we aimed to examine the im...

Navee Chiadamrong

Papers

The development of an economic quality cost model

An integrated fuzzy multi-criteria decision making method for manufacturing strategies

Examining Capabilities of Social Entrepreneurship for Shared Value Creation

Optimal design of supply chain network under uncertainty environment using hybrid analytical and simulation modeling approach

Internal capabilities, external cooperation and proactive CSR on financial performance