Assessment and comparison of multivariate process capability indices in ceramic industry

Zahid, Abu; Sultana, Arifa

doi:10.3329/jme.v39i1.1829

Cited by 7 publications

(6 citation statements)

References 7 publications

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“…So far, process capability analysis has been applied to check whether a production process is capable of producing products within quality specification limits (Goswami and Dutta, 2013;Abbasi and Akhavan Niaki, 2010;Zahid and Sultana, 2008). Logistical problems and/or issues relating to supply chain management have never been addressed before by applying process capability analysis.…”

Section: Methodsmentioning

confidence: 98%

“…A process capability measure for the multivariate case is typically obtained by the ratio of the tolerance region's volume and the volume of the specified process region. In the case of a bivariate analysis, the process capability indices are obtained by the ratio of a modified rectangular or elliptical tolerance region and a rectangular or elliptical process region (Zahid & Sultana, 2008).…”

Section: Methodsmentioning

confidence: 99%

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A capability approach to evaluate supply chain flexibility

Seebacher¹,

Winkler

2015

International Journal of Production Economics

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Section: Methodsmentioning

confidence: 98%

Section: Methodsmentioning

confidence: 99%

A capability approach to evaluate supply chain flexibility

Seebacher¹,

Winkler

2015

International Journal of Production Economics

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“…PCIs are normally used to provide a numerical measures of whether or not a process is capable of producing items that satisfy the quality standards (Abu Zahid and Sultana 2008).…”

Section: Process Capabilitymentioning

confidence: 99%

Drainage Water Reuse: State of Control and Process Capability Evaluation

Shaban

2014

Water Air Soil Pollut

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The dynamic behavior of water quality and quantity in the Egyptian drains is often viewed as a disruption to the normal operation and performance of the process of water reuse in irrigation. The control of such behavior has been challenging and often elusive in practice. Therefore, this paper presents a framework to advance the understanding and opportunities for improving the reuse process by developing a multivariate process control model. The model starts with preliminary analysis for water quality data that are collected at the reuse site on the examined drain. This phase comprises investigating data distribution and dependency. Then, univariate control charts are used to investigate the state of control for the independent and normally distributed variables. For dependent variables, principal components analysis is used as a method of synthesizing the variables information. In this case, principal component scores are displayed using multivariate control charts. If in-control case existed, process capability index is used to provide a numerical measure of whether or not the reuse process is capable of producing water that satisfies the irrigation quality standards. Since the model will only detect assignable causes if out-ofcontrol or in-capable case existed, management, operational, and/or engineering action will usually be necessary to sustain the reuse process. In these cases, an action plan in response to the model signals will be vital. The main function of the proposed model is to safely manage the reuse practice using statistical quality control techniques. The model was demonstrated using water quality data collected during the period from January 2006 to July 2011 from Hanut (EH02) and El-Salam 3 (ESL03) pump stations along Hadus drain, Eastern Nile Delta-Egypt. The recommended model is automatic, algorithmic, self-tuning, and computerizable.

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“…Typically, these investigations are carried out using statistical quality control models (SQCM) that aim to analyze, control, and improve the quality of the process under study (Shaban, 2014). In this discipline, control charts (CCHs) and process capability indices (PCIs) are the most commonly used and they provide numerical measures of whether the process can produce items that satisfy the quality standards (Zahid & Sultana, 2008).…”

Section: Introductionmentioning

confidence: 99%

A comprehensive management model to maximize the benefits of agriculture drainage water reuse

Helal

Shaban

El‐Karim

et al. 2021

Water Environment Research

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Water scarcity in Egypt is an escalating challenge due to the ever-increasing water demands and limited resources. Economically, agricultural drainage water reuse (ADWR) in irrigation is an essential option to cope with freshwater shortage. However, it requires environmentally sound management to minimize possible risks on irrigated soils and human health. Consequently, this research aims at assessing and managing the reuse process by developing a statistically based quality control model capable to investigate the observed and expected capability of the process. Additionally, complementary corrective actions and the decision models were proposed when the reuse processes operate in violation of the standards. These models were tested and validated using data collected from the year 2015 to 2019 at the Delengat pump station in the Western Nile Delta region, which mixes the Delengat drain water with the El-Hager irrigation canal. After raising the awareness amongst the farmers and providing them adequate sanitation services, it was inferred that the ADWR process could provide safe drainage water to be mixed with fresh water. Based on the performed simulations, both models proved to be systematic, quantitative, suitable for computers, and helpful in making informed decisions concerning the sustainability of the reuse process under future water uncertainty. © 2021 Water Environment Federation • Practitioner points▪In Egypt, drainage water reuse is an essential option to cope freshwater shortage. ▪A statistically based quality control model was developed to investigate the capability of the agriculture drainage water reuse process. ▪Additionally, complementary corrective actions and decision models were proposed when the reuse processes operate in violation of the standards. ▪Both the models proved helpful in making informed decisions concerning the sustainability of the reuse process under the future water uncertainty.

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Assessment and comparison of multivariate process capability indices in ceramic industry

Cited by 7 publications

References 7 publications

A capability approach to evaluate supply chain flexibility

A capability approach to evaluate supply chain flexibility

Drainage Water Reuse: State of Control and Process Capability Evaluation

A comprehensive management model to maximize the benefits of agriculture drainage water reuse

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