Improved adaptive EWMA control chart for process location with applications in groundwater physicochemical parameters and glass manufacturing industry

Arslan, Muhammad; Anwar, Syed Masroor; Lone, Showkat Ahmad; Rasheed, Zahid; Khan, Majid

doi:10.1371/journal.pone.0272584

Cited by 5 publications

(5 citation statements)

References 33 publications

(71 reference statements)

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“…The “controlled processes” category has the highest association with all Green aspects except for “water”. There are examples of robust control systems that determine the stability of groundwater physicochemical parameters (Arslan et al ., 2022). Some perspectives review water pollution and present sophisticated approaches to analyse water contamination for wastewater treatment (Li et al ., 2021).…”

Section: Discussionmentioning

confidence: 99%

Exploring the relationship between Lean and Green for further research

Martinez,

Jirsák

2024

JMTM

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PurposeExploring the Lean and Green relationship goes back to the beginnings of Lean manufacturing. Most cases established that companies implementing Lean have Green results. However, there are Lean practices with a higher impact on Green, but others with less impact. Therefore, this paper presents research that explores the relationship between Lean and Green in manufacturing companies and aims to determine whether Lean practices have a higher association with Green aspects.Design/methodology/approachA survey was conducted amongst manufacturing firms to determine their Lean Index (LI). The internally related elements of the Lean construct determined each firm’s LI, whilst Cronbach alpha determined internal LI consistency. The survey also identified firms developing six Green aspects: International Organisation for Standardisation (ISO) 14001, ISO 50001, general Green aspects and the specific aspects of materials, energy and water. An individual sample t-test shows different LI levels of association for each Green aspect. Binomial logistic regression shows the LI element association for each Green aspect.FindingsLI is higher at firms reporting the inclusion of Green aspects. More than half of LI components have a statistically relevant association with the six Green aspects. In general, Ishikawa diagrams had the highest association with Green aspects whilst the lowest was seen in workers as improvement initiators. By grouping the LI elements into their categories, the Lean practices related to controlling processes have a higher association, whilst the involvement of employees has the lowest.Research limitations/implicationsFurther research found in this paper identifies the possibilities for investigating the specificities of each Lean tool to develop Green aspects in companies.Practical implicationsPractitioners learn that Lean and Green are not separate issues in business. This article provides evidence that Lean practices in place at companies are already associated with Green aspects, so integration may already be happening.Originality/valueThis paper provides specifics on the relationship between each Lean practice and developing Green aspects. Thus, this paper specifies the Lean practices that contribute most to Green efficiency to support the joint development of both themes.

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Section: Discussionmentioning

confidence: 99%

Exploring the relationship between Lean and Green for further research

Martinez,

Jirsák

2024

JMTM

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“…The primary goal of this research is to determine IC and OC RL using L sigma limits under the assumption of the Monte Carlo simulation method. Many researchers Abid et al., 22 Noor‐ul‐Amin et al., 23 Aslam and Anwar, 24 Abbasi et al., 12 Rasheed et al., 25 Zhang et al., 26 Almanjahie et al., 27 and Arslan et al 19 . used L sigma limits under Monte Carlo simulation for the performance evaluation of EWMA charts in various setup.…”

Section: Performance Metricsmentioning

confidence: 99%

“…Moreover, different performance evaluation measures like ARL, the standard deviation of RL (SDRL), and the median of RL (MDRL) are used to assess the performance of the proposed chart. 19 The remaining sections of this paper are organized as follows: Section 2 outlines the structure of the existing chart, whereas the design structure of the proposed chart is provided in Section 3. Similarly, Section 4 explains the performance measures, while Section 5 provides a real-life application of the proposed method.…”

Section: Introductionmentioning

confidence: 99%

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Reassessment of performance evaluation of EWMA control chart for exponential process

Rasheed,

Zhang,

Anwar

2023

Quality & Reliability Eng

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Memory control charts or charts, such as cumulative sums and exponentially weighted moving average (EWMA), are widely used for tracking minor to moderate changes in process parameters. The literature presented an EWMA chart for monitoring exponential processes, assuming probability limits to determine both in‐ and out‐of‐control average run length (ARL). The use of probability limits for memory charts is an incorrect method. So, we are aiming to correct the EWMA chart by Aslam et al. and the proposed EWMA chart (represented by IEWMAE) for the exponential process using the run‐length (RL) method based on the simulation method instead of the probability‐based method. The ARL, standard deviation of RL, and median of RL are used to evaluate the proposed chart's performance. For practical consideration of the proposed chart, a real‐world example of a urinary tract infection is also presented.

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“…Amitava Mitra, Kang Bok Lee, Subhabrata Chakraborti (2019) [14] , proposed an Adaptive EWMA control chart for monitoring process mean for both smaller and larger shifts. Arslan et al (2022) [15] developed an Improved Adaptive EWMA (IAEWMA) control chart for efficient monitoring of process mean shift. The performance comparison tools are used to show that IAEWMA is more outperforms than some other control charts.…”

Section: Review Of Literaturementioning

confidence: 99%

Design of geometric moving average control chart to monitor poisson mean for an unstabilized production process

2023

Int. J. Stat. Appl. Math.

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Control chart is one of the important tools of Statistical Process Control to monitor the quality of goods or to improve the production process by identifying the assignable causes of variations. In this article we present a newly developed control chart to Monitor Poisson mean through Geometric Moving Average through EWMA Statistic. In a novice production process, the variations are inevitable and fluctuate between control or in-control process. Hence to suite the need of the un-stabilized process and to monitor the target TPEWMA is developed. The newly designed TPEWMA control charts and its parameters are determined based on the Truncated Poisson Distribution. The comparison on EWMA control chart with newly designed TPEWMA control charts shows better detection in small shifts. The Average Run Length of control chart is the measure of efficiency of the control chart and is larger for an in-control quality process. But at the same time ARL's are smaller for small shifts. Hence one can give pressure on the producer to maintain the process through tightening the variable factor in a TPEWMA control chart.

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Improved adaptive EWMA control chart for process location with applications in groundwater physicochemical parameters and glass manufacturing industry

Cited by 5 publications

References 33 publications

Exploring the relationship between Lean and Green for further research

Exploring the relationship between Lean and Green for further research

Reassessment of performance evaluation of EWMA control chart for exponential process

Design of geometric moving average control chart to monitor poisson mean for an unstabilized production process

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