A sensitivity analysis of an integrated model for joint determination of economic design of $\overline{x}$‐control charts, economic production quantity and production run length for a deteriorating production system

Lam, Kevin K.W.; Rahim, M. A.

doi:10.1002/qre.463

Cited by 9 publications

(2 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Then, Ben-Daya [18] proposed an integrated model of three mentioned concepts and assessed the impact of maintenance operations on process output. Lam and Rahim [19] presented a similar model by taking into account both uniform and non-uniform sampling schemes. Jafarian-3 Namin et al [20] presented an integrated model of production planning, control chart, and maintenance planning for processes with autocorrelated quality characteristics under a delay monitoring policy.…”

Section: Introductionmentioning

confidence: 99%

An economic-statistical production quantity model under quality-maintenance policy for imperfect manufacturing systems with interaction effect among assignable causes

2022

View full text Add to dashboard Cite

This study integrates production and maintenance planning with statistical process monitoring in the presence of dependent multiple assignable causes. To adapt the model to the reality, two assumptions are considered: (1) the assignable causes (ACs) are dependent, and (2) the occurrence of ACs can affect both process mean and variability. Given the second assumption, a non-central chi-square (NCS) chart is used to monitor the process. Since the occurrence rate of ACs increases over time, a non-uniform sampling scheme is presented to reduce the out-of-control time period. A sensitivity analysis is presented to explore how the number of AC types influences the cost terms. The results indicate that the more AC types, the higher quality loss and maintenance costs are imposed on the manufacturer. Moreover, three comparative studies are conducted for confirming the effectiveness of the model. The first comparative study shows that the total cost will be less than its real value when the interdependency among the ACs is ignored. The second comparison shows that the NCS chart outperforms the XR  in detecting the process disturbances and leads to a less quality loss cost. Eventually, the last one represents that employing the non-uniform sampling strategy leads to a significant cost savings.

show abstract

Section: Introductionmentioning

confidence: 99%

An economic-statistical production quantity model under quality-maintenance policy for imperfect manufacturing systems with interaction effect among assignable causes

2022

View full text Add to dashboard Cite

show abstract

“…Among them, Ben-Daya and Makhdoum [45] introduced an integrated model to specify the EPQ and SPM parameters under several preventive maintenance rules. Lam and Rahim [46] presented an integrated model of EPQ, SPM, and MP for a deteriorating manufacturing system. Pan et al [47] proposed a joint model of EPQ and MP for an imperfect production process based on a Shewhart control chart to minimize the cost function.…”

Section: Introductionmentioning

confidence: 99%

An integrated model for optimal selection of quality, maintenance, and production parameters with auto correlated data

et al. 2021

View full text Add to dashboard Cite

Statistical process monitoring, maintenance policy, and production have commonly been studied separately in the literature, whereas their integration can lead to more favorable conditions for the entire production system. Among all studies on integrated models, the underlying process is assumed to generate independent data. However, there are practical examples in which this assumption is violated because of the extraction of correlation patterns. Autocorrelation causes numerous false alarms when the process is in the in-control state or makes the traditional control charts react slowly to the detection of an out-of-control state. The autoregressive moving average (ARMA) control chart is selected as an effective tool for monitoring autocorrelated data. Therefore, an integrated model subject to some constraints is proposed to determine the optimal decision variables of the ARMA control chart, economic production quantity, and maintenance policy in the presence of autocorrelated data. Due to the complexity of the model, a particle swarm optimization (PSO) algorithm is applied to search for optimal decision variables. An industrial example and some comparisons are provided for more investigations. Moreover, sensitivity analysis is carried out to study the effects of model parameters on the solution of the economic-statistical design.

show abstract

Maintenance and Production: A Review of Planning Models

Budai

Dekker

Nicolai

Springer Series in Reliability Engineering

View full text Add to dashboard Cite

A sensitivity analysis of an integrated model for joint determination of economic design of $\overline{x}$‐control charts, economic production quantity and production run length for a deteriorating production system

Cited by 9 publications

References 45 publications

An economic-statistical production quantity model under quality-maintenance policy for imperfect manufacturing systems with interaction effect among assignable causes

An economic-statistical production quantity model under quality-maintenance policy for imperfect manufacturing systems with interaction effect among assignable causes

An integrated model for optimal selection of quality, maintenance, and production parameters with auto correlated data

Maintenance and Production: A Review of Planning Models

Contact Info

Product

Resources

About