Applications of Performability Engineering Concepts

Misra, Krishna B.

doi:10.1007/978-1-84800-131-2_60

Cited by 44 publications

(80 citation statements)

References 20 publications

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“…Due to the concentration on quality and customer perception, the statistical techniques and quality management methodologies, especially those customer-oriented methods and preventive quality plans have been adopted by practitioners 10 . The quality improvement is a continuous process and is proven to be effective to increase productivity and profitability, as well as quality cost reduction 11 .…”

Section: Literature Reviewmentioning

confidence: 99%

Quality Improvement Procedure (QIP) based on 8D and Six Sigma Pilot Programs in Automotive Industry

Zhou¹,

Wang²,

Mpshe³

et al. 2016

Proceedings of the First International Conference Economic and Business Management 2016

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With concentration on post-purchase support services and customer complaints, auto factories try to perform quality improvement initiatives to improve product quality and promote brand reputation. This paper proposes a quality improvement procedure based on quality management practices (8D and six sigma pilot programs), the first of which helps quality managers to promote the quality performance criteria (R/1000 or TGW/1000) and the second of which assists managers to improve the process capability performance index (CPI). The quality practices in China and South Africa are presented to illustrate the effectiveness of the proposed quality improvement procedure (QIP).

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Section: Literature Reviewmentioning

confidence: 99%

Quality Improvement Procedure (QIP) based on 8D and Six Sigma Pilot Programs in Automotive Industry

Zhou¹,

Wang²,

Mpshe³

et al. 2016

Proceedings of the First International Conference Economic and Business Management 2016

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“…Therefore, there are a number of classifications with regards to different aspects of phased-mission systems, summarized briefly in the following [13]:…”

Section: B Phased-mission Systemsmentioning

confidence: 99%

Proxel-Based Performability Analysis of Non-Markovian Phased-Mission Systems

Lazarova-Molnar

2010

2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation

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Abstract-Phased-mission system is a system whose mission consists of a sequence of non-overlapping phases described by different models. The focus of this paper is to apply the proxelbased simulation method to performability analysis of phasedmission systems. Phased-mission systems have been researched for a long time and they encompass a large number of systems in industry. Most of the existing methods impose some limitations on the systems they can analyze or face loss of accuracy. The proxel-based method allows for a general class of phased-mission systems to be analyzed without imposing the typical limitations on the models or sacrificing accuracy. Lower level components of systems can be described using any formalism, i.e. Petri nets or state-transition diagrams. We provide modification of the original algorithm of the proxelbased method, adapted to be applied to phased-mission systems. In addition, we present results from experiments performed using the presented approach.

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“…Control charts, one of quality control tools, are the most significant tool implemented by SPC for process control (Misra, 2008). According to Montgomery (2009), these charts are mostly applied for online surveillance which results in process improvement.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy development for attribute control chart with Monte Carlo simulation method

Madadi¹,

Mahmoudzadeh²

2017

10.5267/j.msl

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This paper presents the case study of fuzzy statistical process control which has been simulated for variable and discontinuous production within a particular time frame in a key manufacturing workshop. In order to reduce waste production and increase productivity, dimensional inspection from raw product is categorized into three groups: product of type A, product of type B, and discard. In first part, the appearance characteristics of product is defined as fuzzy membership function as the input of the system in order to allocate the output obtained from fuzzy inference of product to one of the three quality levels. Afterwards, each quality level is assigned to its own group by means of Monte Carlo simulation techniques. In the second part, with fuzzy development of a multinomial p chart, the production process is illustrated as a control chart within the particular period of time.

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Applications of Performability Engineering Concepts

Cited by 44 publications

References 20 publications

Quality Improvement Procedure (QIP) based on 8D and Six Sigma Pilot Programs in Automotive Industry

Quality Improvement Procedure (QIP) based on 8D and Six Sigma Pilot Programs in Automotive Industry

Proxel-Based Performability Analysis of Non-Markovian Phased-Mission Systems

A fuzzy development for attribute control chart with Monte Carlo simulation method

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