Search results

A derivative autonomous nonlinear feedback system is suggested as a possible model for physical and biological oscillating systems. Practical conditions for the existence and stability motion are derived.

This communication highlights the study of the properties of a general second‐order nonlinear multistable system. Particular attention is directed to fixed points analysis and phase portrait representation. Some examples and computer simulations are also included.

This study aims to discover a practical and effective way to apply the quality cost concept in Strategic Cost Management (SCM) framework. The interaction of preventive, appraisal and failure (PAF) activities in a company's internal value chain will be the starting point of SCM implementation.

This study begins by establishing value chain and quality costs as the scope of conceptual analysis. Discussions on the interrelationships between activities, quality and costs were gathered to clarify conceptual and practical gaps in the scope of the study. The PAF quality cost model is applied to find viable, practical solutions. The costs of activities will serve as performance indicators.

The PAF quality cost model depicts opportunities to lower costs and increase profit in a business simultaneously; current poor quality costs are the benchmark. Identifying PAF activities and costs in the business value chain and linking it with others is crucial in evaluating SCM applications. These linkages will generate a Quality Cost Chain (QCC). The leading indicator of improvement is a higher ratio between new possible failure costs (FC) and the combination of prevention and appraisal costs (PAC) than the current value, followed by a lower total quality cost (TQC). The subsequent attention is a lower ratio between the appraisal cost (AC) and prevention cost (PC). Mathematically, for assessing the operability of new quality-related activities, ΔPAC_new < ΔFC_new, TQC_new < TQC_current, (FC/PC)_new>(FC/PC)_current and (AC/PC)_new<(AC/PC)_current are proposed as feasible conditional-quantitative improvement criteria.

This study only discusses the relationship between quality costs and activities related to quality management in the PAF quality cost model, not cost behavior. This limitation opens up opportunities for future research that intends to link QCC with cost behavior in the context of managerial accounting and Strategic Cost Management. The use of QCC in certain industrial areas is the next research opportunity. The variety of PAF activities this study addresses originates from a wide range of industrial sectors; QCC research by sector may produce unique industrial quality cost phenomena.

QCC will make it easier for managers to evaluate how strategically their departments or activities contribute to quality costs at the departmental or organizational level, as well as to effectively and efficiently improve quality cost performance.

The quality-related activity and quality cost issues are still rarely treated as subjects of research studies in the field of Strategic Cost Management. Even so, the discussion tends to be very broad, complex and difficult to apply. This study combines a simple diagrammatic and mathematical approach to simplify the discussion and, at the same time, manage the value of strategic quality management.

The dynamics of quality performance and quality cost are gaining renewed interest in quality management literature. Using large sample secondary data, the purpose of this paper is to build up empirical evidence for increasing quality performance in manufacturing in the long-run. The authors then examine whether it is possible to reduce internal and external failure cost over time without increasing prevention and appraisal expenditures in return. Finally, a scale effect in reducing quality cost is measured to clarify the long-run dynamics between quality cost and quality performance.

The authors conduct statistical analysis on a large sample secondary data set to reveal relationships between total cost of quality, its components and overall quality performance.

Significantly higher quality performance and lower quality cost are observed in the long-run. Quality costs grow less than half as fast as sales volume, pointing to a significant scale effect in quality cost reduction.

Businesses can use these implications for targeting failure costs and budgeting appraisal and prevention costs. Based on company-specific historical learning behavior through prevention and appraisal activities, an increasingly reliable prognosis of failure cost shall be possible.

For the first time, quality performance and cost dynamics are assessed using a secondary data set with more than 400 observations. A scale effect for quality cost reduction is measured. The results are of great importance to quality management practice and research.

Nowadays companies in the world are selling products by keeping quality as a central value for the customer. Quality-related costs arise from a series of activities performed in order to maintain the quality of product or service. Like other activities of business, quality costs can be programmed, budgeted, measured and analysed to attain the objective of better quality at lower cost. The purpose of this paper is to formulate a decisive methodology to optimize total quality cost (TQC), comprehensively.

The TQC borne by any small- and medium-sized enterprise (SME) is the authentic base, which decides budget and other financial policies for running its ongoing quality programmes. To minimize TQC, one has to make sufficient cut backs in the total failure cost (TFC). Through regression analysis, TFC has been statistically modelled with primary quality costs (like preventive costs (PC) and appraisal costs (AC)). Subsequent graphical analysis has been delineated to elaborate relevant behaviour of different quality costs. At last, potency of suggested methodology has been strategically verified by executing a successful case study in an Indian Auto SME. The requisite optimization has been achieved by using Minitab Statistical Software and its practical validation is checked by conducting a two-sample t-test, exclusively.

It has been found that TFC has a direct positive correlation with TQC and it increases with time. Further, TFC is inversely proportional with PC and AC. PC and AC act as independent costs, while TFC is a dependent or secondary quality cost. If the authors strategically allocate PC and AC in advance by using statistical advanced tools, then internal failure costs and external failure costs will diminish amply.

It inspires practitioner to harvest profits by inculcating quality cost optimization through lodged statistical behavioural investigation. Proposed approach is verified after performing an empirical study only on an automobile manufacturing SME. Further research is indeed required to testify the given methodology for more complex process configurations.

Data related to quality costs is well available with practitioners but generally lying ignored. The case findings will motivate quality practitioners to use the proposed step by step approach for sustainable reduction in overall quality cost.

SMEs find it difficult to lower their TQC due to severe scarcity of resources and funds. Moreover literature provides mainly the theoretical or qualitative cases which remain ineffective to propel SMEs towards the real world savings. But this manuscript will act as a unique road-map to de-code the behaviour of different quality costs quantitatively without ignoring the existing constraints of SMEs, especially in the developing nations.

The purpose of this paper is to explore the impact of the cost of quality (COQ) expenditure allocations on a capacitated supply chain (SC) network.

This paper proposes a non-linear optimization model which integrates the opportunity cost (OC) (i.e. customer satisfaction cost), into the COQ with consideration of the QL in the supply chain network design decisions. In addition, it examines the effect of considering an investment at each SC echelon to ensure the best overall QL. A numerical example is presented to illustrate the behavior of the model.

The results show how the QL, COQ and facility location decisions change when incorporating the OC, investments and transportation costs into the SC model.

The novelty of this paper is that it considers the effect of OC, investment at each echelon and transportation costs on SC design by minimizing the overall spending on the COQ. These issues have not been explored, and for that reason, this paper contributes to the understanding of the critical factors that optimizes the SC COQ.

This paper proposes a decision support model that can be used to help decide the destination of defective products, for mass production industries. The objective of this model is to reduce the cost of the defect, and consequently reduce the total quality costs.

The decision model was developed based on the theory of quality costs and decision-making models, considering the practical aspects of reality through data collection, observation and experience in Industrial Pole of Manaus (Brazil) industries. A decision model adjusted to reality assists in the construction of the decision process, indicating the facts, data collection and the planning of the actions to choose the best alternative.

The specific contributions of this research are: (1) define a sequential structure of actions, effects and costs associated with defective items; (2) allow a comprehensive approach to failure costs, including various elements of lost opportunity costs; (3) minimize failure costs, and consequently reduce total quality costs, without necessarily investing in prevention and assessment; (4) describe the use and application of the built theory; (5) identify the quality cost elements most representative in existence of defective items; and (6) identify improvement points in the management of possible future defective items.

Much of the work of implementation of quality cost models do not emphasize the analysis of the destination of defective items. Also, there are no studies that use decision models with identification, accounting and evaluation of effects and criteria of quality, productivity and cost to define the destination of manufacture defective items.

The purpose of this study is to present a report on the development of an improved mathematical model for quantifying the cost of quality. In addition, a simulation model is developed using real-life industrial data; the model is used to investigate the impact of certain quality control level plans on cost of quality.

The cost of the quality model was developed based on the reported literature and suggestion from the company quality control manager. An extensive discussion was conducted with the quality control supervisors in the company to develop some quality control plans to investigate their impact on cost of quality. A simulation model that represents a specific section of the process at the company was used to carry out the investigation. The results were analysed and compared with some important findings reported in the literature that describe the characteristics of costs of quality.

The simulation work provides valuable insights into the behavior of the different components that constitute the total cost of quality. The results show that reduction of failure costs can be achieved at low or no-subsequent increase in the non-conformance expenditure. In addition, it seems that the traditional accounting system approach may no longer be adequate since it depends mainly on direct labour costs. The results indicate that the direct labour cost is only contributing by about 3 percent of the total cost of quality.

This paper focuses on the development of a comprehensive model for quantifying the cost of quality in a semiconductor company. Future research is needed to expand the model for more complex process configuration. In addition, the developed model could be extended to deal with variant defect rates.

This study presents an advanced theoretical model for cost quality that enhanced models of quality presented in the literature. Using the developed cost of the quality model, a comprehensive simulation was carried out to investigate the impact of some quality plans on cost of quality. The study clearly indicates important evidence to justify the implementation of cost of quality models in real-life industry.

The general objective of this research was to identify the practices of the mass production industries, on the decisions related to the detection of defective products and to identify relevant criteria, actions, effects and variables to be used in a decision-making model.

A survey questionnaire was developed and structured in 20 questions, with 18 closed questions and 2 open questions. The questions were constructed based on the literature review, with the identification of 15 theoretical and practical concepts of quality. Seven other information requests were included, concerning the initial characterization of the defective items and industry. The company, the product, the processes and the defects were contextualized, and then the decision-making process was framed, to understand the factors that influenced it.

The industries of the Industrial Pole of Manaus discard or rework their defective products influenced by promoting the lowest cost and the required quality. The factors with the biggest influence on decisions are rework and disposal costs, and time available for rework and replacement. The main requirements defined for the decision-making model were: 1) compare the rework and discard options, only if the rework reaches the required quality level; and 2) identify and account the effects of defective items on quality, productivity and costs.

Overall, 109 questionnaires were sent, representing 21.3% (109/512) of the companies at the Industrial Pole of Manaus. The respondents represent 14.6% (75/512) of the population.

Defects can occur, requiring a decision that promotes the lowest cost and the required quality. Quality cost models do not show a systematic analysis for identification, accounting, evaluation of effects and criteria associated with the destination of manufactured defective items. Therefore this research was done to fill this gap.

Due to the ever-increasing competitive and complex business environments, food manufacturing companies have to maintain high-quality products while simultaneously minimizing customers' costs. Cost of quality (COQ) plays a crucial role in enhancing companies' efficiency and reducing expenditures that can contribute to companies' competitive performance. This paper investigates the underlying relationship between the level of COQ practices adoption (prevention, appraisal, internal and external failure costs) and organizational performance in Palestinian food manufacturing companies (PFMCs).

A quantitative research methodology using a structured questionnaire collected data from 119 PFMCs. Partial least squares structural equation modeling was used to analyze collected data.

Results indicated that COQ adoption has a significant positive effect on the organizational performance of PFMCs. Besides, prevention, external and internal failure costs were all associated with a positive impact on organizational performance of PFMCs, whereas appraisal cost did not affect organizational performance.

This study is considered one of the first studies to investigate COQ practices' effect on organizational performance in food manufacturing companies in a developing country context. Thus, it adds significant value to the literature responding to calls to tackle competitiveness issues in current complex business environments.