Integration of production quantity and control chart design in automotive manufacturing

Günay, Elif Elçin; Kula, Ufuk

doi:10.1016/j.cie.2016.06.016

Cited by 15 publications

(2 citation statements)

References 23 publications

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“…Although, the production planning is in a close relationship with SPM and maintenance planning, these concepts are rarely investigated monolithically. Several studies such as Rahim and Ohta [4], Pan et al [5], and Gunay and Kula [6] attempted to integrate the production planning and SPM topics. Another category of researches such as Emami-Mehregani et al [7], Zahedi-Hosseini et al [8], Si et al [9], and Liu et al [10] focused on optimizing production and maintenance planning without considering the SPM concept.…”

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

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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.

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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

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“…This research gap has attracted the attention of many researchers to link quality and production issues. Among the double integrations of these issues, the reader can refer to [25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2021

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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.

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Integration of inventory control, maintenance policy, and quality control for selling products under warranty

Salmasnia,

Hajihaji,

Sharafi

et al. 2023

Comput Manag Sci

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Integration of production quantity and control chart design in automotive manufacturing

Cited by 15 publications

References 23 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

Integration of inventory control, maintenance policy, and quality control for selling products under warranty

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