Socio-economic design of control charts for monitoring service processes: a case study of a restaurant system

In the field of statistical process control (SPC), usually two issues are addressed; the variables and the attribute quality characteristics control charting. Focusing on discrete data generated from a process to be monitored, attributes control charts would be useful. The discrete data could be classified into two categories; the independent and auto-correlated data. Regarding the independence in the sequence of discrete data, the typical Shewhart-based control charts, such as p-chart and np-chart would be effective enough to monitor the related process. But considering auto-correlation in the sequence of the data, such control charts would not workanymore. In this paper, considering the auto-correlated sequence of X1, X2,…, Xt,… as the sequence of zeros or ones, we have developed a control chart based on a two-state Markov model. This control chart is compared with the previously developed charts in terms of the average number of observations (ANOS) measure. In addition, a case study related to the diabetic people is investigated to demonstrate the applicability and high performance of the developed chart.

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Optimal techno-economic design of hybrid PV/wind system comprising battery energy storage: Case study for a remote area

Energy Conversion and Management ◽

10.1016/j.enconman.2021.114847 ◽

2021 ◽

Vol 249 ◽

pp. 114847

Author(s):

D. Emad ◽

M.A. El-Hameed ◽

A.A. El-Fergany

Keyword(s):

Energy Storage ◽

Economic Design ◽

Remote Area ◽

Wind System ◽

Battery Energy Storage ◽

Battery Energy

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Modeling and predicting reservoir landslide displacement with deep belief network and EWMA control charts: a case study in Three Gorges Reservoir

Landslides ◽

10.1007/s10346-019-01312-6 ◽

2019 ◽

Vol 17 (3) ◽

pp. 693-707 ◽

Cited By ~ 4

Author(s):

Huajin Li ◽

Qiang Xu ◽

Yusen He ◽

Xuanmei Fan ◽

Songlin Li

Keyword(s):

Control Charts ◽

Three Gorges Reservoir ◽

Deep Belief Network ◽

Three Gorges ◽

Belief Network ◽

Reservoir Landslide

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Application of control charts for non-normally distributed data using statistical software program: A technical case study

10.30574/wjarr.2019.1.1.0013 ◽

2019 ◽

Vol 1 (1) ◽

pp. 039-048

Author(s):

Mostafa Eissa

Keyword(s):

Control Charts ◽

Distributed Data ◽

Statistical Software ◽

Software Program ◽

Normally Distributed

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Process Capability Analysis in a Polypropylene Bag Manufacturing Company

Journal of Applied Sciences and Environmental Management ◽

10.4314/jasem.v25i8.30 ◽

2021 ◽

Vol 25 (8) ◽

pp. 1477-1482

Author(s):

O.F. Odeyinka ◽

F.O. Ogunwolu ◽

O.P. Popoola ◽

T.O. Oyedokun

Keyword(s):

Control Charts ◽

Process Capability ◽

Production Plant ◽

Specification Limit ◽

Process Capability Analysis ◽

Capability Analysis ◽

Vertically Aligned ◽

Lower Specification Limit ◽

And Control

Process capability analysis combines statistical tools and control charts with good engineering judgment to interpret and analyze the data representing a process. This work analyzes the process capability of a polypropylene bag producing company. The case study organization uses two plants for production and data was collected over a period of nine months for this study. Analysis showed that the output spread of plant 1 was greater than the specification interval spread which implies poor capability. There are non-conforming parts below the Lower Specification Limit (LSL: 500,000 metres) and above the Upper Specification Limit (USL: 600,000 metres) and that the output requires improvement. Similarly, the capability analysis of plant 2 shows that the overall output spread is greater than the specification interval spread (poor capability). The output centre in the specification and overall interval are vertically aligned, thus specifying that the output from plant 2 is also process centered and requires improvement. Recommendations were made to improve the outputs from each production plant.

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