Integrated production, statistical process control, and maintenance policy for unreliable manufacturing systems

Bahria, Nadia; Chelbi, Anis; Bouchriha, Hanen; Dridi, Imen Harbaoui

doi:10.1080/00207543.2018.1530472

Cited by 39 publications

(16 citation statements)

References 39 publications

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“…They also studied three types of incidents under machine failure situations: emergency replenishment, revenue-sharing contract, and price discount contract. Besides, Pal et al [17], Shi [21], Taleizadeh et al [22], Cheng et al [5], Bahria et al [1], etc. studied different models in this direction.…”

Section: Literature Surveymentioning

confidence: 99%

Random machine breakdown and stochastic corrective maintenance period on an economic production inventory model with buffer machine and safe period

Pal

Adhikari²

2021

RAIRO-Oper. Res.

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In this paper, we have developed an economic production quantity (EPQ) model in which production is executed mainly by the original machine. But when the system faces disruption, the buffer of it continues the production. Here, we incorporate a fixed Safe Period running policy, in which the machine runs interruptedly, whenever production commences. The disruption of the system may occur at any moment of the time horizon over the safe period, and then, it will go under the corrective maintenance policy. Here, we take that both of the time of disruption and period of maintenance are continuous random variables. We have discussed the model under different safe period duration with corresponding disruption situations. Our main objective is to minimize the expected average total cost for all the cases concerning the production lot size. The model has also been illustrated numerically with some examples. To examine the robustness of the solution of this model, we discuss the sensitivity analysis for the parameters.

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Section: Literature Surveymentioning

confidence: 99%

Random machine breakdown and stochastic corrective maintenance period on an economic production inventory model with buffer machine and safe period

Pal

Adhikari²

2021

RAIRO-Oper. Res.

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“…Reference [16] investigated the effects of non-normally distributed data on the economic design ofX control charts for production systems under imperfect maintenance. Reference [17] developed an integrated approach for maintenance andX control chart for batch manufacturing systems.…”

Section: Literature Review Notationsmentioning

confidence: 99%

Economic-Statistical Design of Integrated Model of VSI Control Chart and Maintenance Incorporating Multiple Dependent State Sampling

Wan

2020

IEEE Access

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The mutualistic relationship between quality control and maintenance of production systems has contributed to the development of the integration model of statistical process control (SPC) and maintenance. Such models are not only beneficial to the improvement of production quality, but also to the reduction of maintenance cost. This paper presents an integrated model of SPC and maintenance that applies a VSI & MDSSX control chart designing based on the variable sampling interval (VSI) scheme and multiple dependent/deferred state sampling (MDSS) policy. A Markov chain approach is employed to model the integrated process, and the average total cost per unit time is derivated and solved by a developed genetic algorithm subject to statistical quality constraints. A shrimp canning production process example is given to illustrate the application of integrated model. Finally, a comparative study using the design of experiments approach is conducted to demonstrate the effectiveness of the suggested model. INDEX TERMS Statistical process control, maintenance, multiple dependent state sampling, variable sampling interval.

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“…The decision variables considered are the production lot size, the safety stock, the sampling plan and overhaul scheduling with an outgoing quality constraint. Bahria et al (2019) extended the work of Bahria et al (2018) by integrating the buffer stock with the control chart and PM and CM both based on quality control results. Salmasnia et al (2019) proposed an integrated model for joint determination of production run length, adaptive control chart parameters and the maintenance policy.…”

Section: Control Chart Production and Maintenancementioning

confidence: 99%

Joint design of control chart, production and maintenance policy for unreliable manufacturing systems

Bahria

Dridi

Chelbi

et al. 2020

JQME

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PurposeThe purpose of this study is to develop a joint production, maintenance and quality control strategy involving a periodic preventive maintenance policy.Design/methodology/approachThe proposed integrated policy is defined and modeled mathematically.FindingsThe paper focuses on finding simultaneously the optimal values of the preventive maintenance period, the buffer stock size, the sample size, the sampling interval and the control chart limits, such that the expected total cost per time unit is minimized.Practical implicationsThe paper attempts to integrate in a single model the three main aspects of any manufacturing system: production, maintenance and quality. The considered system consists of one machine subject to a degradation process that directly affects the quality of products. The process and product quality control is carried out using an “x-bar” control chart. In the proposed model, a preventive maintenance action is performed every α inspections of product quality in order to reduce the shift rate to the “out-of-control” state. A corrective maintenance action is undertaken once the control limits are exceeded. In order to palliate perturbations caused by the stopping of the machine to undergo maintenance actions, a buffer stock is built up to ensure the continuous supply of the subsequent machine. The main goal of this work is to develop a model that captures the underlying link between the preventive maintenance policy, the buffer stock size and the parameters of an “x-bar” control chart used to control the quality of the product. Numerical experiments and a study of the effects of the input parameters variation on the obtained results are performed.Originality/valueThe existing models that simultaneously consider maintenance, inventory and control charts consist of a condition-based maintenance (CBM) policy. Periodic preventive maintenance (PM) has not been considered in such models. The proposed integrated model is original, in that it links production through buffer stocks, quality through a control chart and maintenance through periodic preventive maintenance (different practical settings and modeling approach than when CBM is used). Hence, this paper addresses practical situations where, for economic or technical reasons, only systematic periodic preventive maintenance is possible.

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Integrated production, statistical process control, and maintenance policy for unreliable manufacturing systems

Cited by 39 publications

References 39 publications

Random machine breakdown and stochastic corrective maintenance period on an economic production inventory model with buffer machine and safe period

Random machine breakdown and stochastic corrective maintenance period on an economic production inventory model with buffer machine and safe period

Economic-Statistical Design of Integrated Model of VSI Control Chart and Maintenance Incorporating Multiple Dependent State Sampling

Joint design of control chart, production and maintenance policy for unreliable manufacturing systems

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