Preventive maintenance policy supported by a quality control chart and Kolmogorov-Smirnov tests: Emet Colemanite Mineral Processing Plant Turkey

2007 ◽  
Vol 24 (3) ◽  
pp. 152-156 ◽  
Author(s):  
S. Yerel ◽  
H. Ankara ◽  
A. Konuk ◽  
H. Ozdag
Keyword(s):  
Quality Control ◽  
Control Chart ◽  
Preventive Maintenance ◽  
Mineral Processing ◽  
Processing Plant ◽  
Maintenance Policy ◽  
Kolmogorov Smirnov ◽  
Quality Control Chart ◽  
Preventive Maintenance Policy

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

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nadia Bahria ◽  
Imen Harbaoui Dridi ◽  
Anis Chelbi ◽  
Hanen Bouchriha
Keyword(s):  
Quality Control ◽  
Control Chart ◽  
Preventive Maintenance ◽  
Buffer Stock ◽  
Maintenance Policy ◽  
Content Type ◽  
Stock Size ◽  
Periodic Preventive Maintenance ◽  
Preventive Maintenance Policy

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.

scholarly journals Joint Economic Design of CUSUM Control Chart and Age-Based Imperfect Preventive Maintenance Policy

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Yaping Li ◽  
Zhen Chen ◽  
Ershun Pan
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Control Chart ◽  
Preventive Maintenance ◽  
Economic Design ◽  
Cusum Chart ◽  
Maintenance Policy ◽  
Statistical Process ◽  
Decision Variables ◽  
Preventive Maintenance Policy

The close relationship between statistical process control and maintenance has attracted lots of researchers to focus on the jointly economic design of control chart (a main tool of statistical process control) and preventive maintenance policy, and much progress has been made in this field. However, in the existing literatures, the X- chart is used most, and other charts are rarely considered. In this paper, the economic design of CUSUM chart and age-based imperfect preventive maintenance policy is presented. The process is considered as a multiphase system, and a recursive algorithm is used to model each phase. Besides, a sampling policy under the non-Markovian deterioration assumption is employed, and an age-based imperfect preventive maintenance policy is used. An optimization model with the objective of minimizing the expected cost per unit time is constructed to obtain the near-optimal solution of decision variables: the age of the machine for maintenance, the number of age-based maintenances, sample size, sampling intervals, and the decision interval coefficient and reference value coefficient of CUSUM chart. The solution procedure of the model is provided. Also, sensitivity analysis is performed on the decision variables for each of the various parameters.

scholarly journals Vulnerability based management of water resources systems

2004 ◽  
Vol 6 (2) ◽  
pp. 133-156 ◽  
Author(s):  
V. K. Kanakoudis
Keyword(s):  
Water Supply ◽  
Preventive Maintenance ◽  
Water System ◽  
Supply System ◽  
Water Supply System ◽  
Maintenance Policy ◽  
Supply Networks ◽  
Water Resources Systems ◽  
Maintenance Schedule ◽  
Preventive Maintenance Policy

Must the water networks be fail-proof or must they remain safe during a failure? What must water system managers try to achieve? The present paper introduces a methodology for the hierarchical analysis (in time and space) of the preventive maintenance policy of water supply networks, using water supply system performance indices. This is being accomplished through a technical–economic analysis that takes into account all kinds of costs referring to the repair or replacement of trouble-causing parts of the water supply network. The optimal preventive maintenance schedule suggested by the methodology is compared with the empirically based maintenance policy applied to the Athens water supply system.

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