Integrated design of preventive maintenance and quality control policy parameters with CUSUM chart

2015 ◽  
Vol 82 (9-12) ◽  
pp. 2101-2112 ◽  
Author(s):  
Divya Shrivastava ◽  
Makarand S. Kulkarni ◽  
Prem Vrat
2016 ◽  
Vol 11 (1) ◽  
pp. 203 ◽  
Author(s):  
Dio Putera Hasian

Bureau of mining heavy equipment maintenance at PT. Semen Padang have task in maintenance mine heavy equipment with preventive maintenance although breakdown maintenance. Part inventory is needed to make this activity work properly. If stockout happened will have the impact to PT.Semen Padang mining and production activity. To solve this problem, minimum-maximum inventory control policy is used to give an optimum value of inventory mine heavy equipment. This research is focused in filter and lubricant inventory because they have high demand rate. Data consumption filter and lubricant from January until December 2010 is used in this research. The service level that used is 95%. The result is quantity optimum inventory mine heavy equipment at filter and lubricant with application part inventory of mine heavy equipment. Because it can keep stockout although excess inventory.Keywords: stockout, optimum, inventory


2019 ◽  
Vol 120 (2) ◽  
pp. 917-923 ◽  
Author(s):  
Mohammadamin Erfanmanesh ◽  
Jaime A. Teixeira da Silva

2021 ◽  
Author(s):  
Rawia Kaddachi ◽  
Ali Gharbi ◽  
Jean-Pierre Kenné

Abstract The problem of integrated production and maintenance control of unreliable manufacturing systems evolving in a stochastic and dynamic environment is studied in this paper. The considered system is subject to degradation and the produced products are perishable with random shelf-lives. The literature of operations management for perishable products reports a correlation between the shelf-life of the product and the machine degradation. In fact, the latter results in shelf-lives reduction. Ignoring this correlation effect may result in inaccurate values of the shelf-lives and inefficient control policies. The objective of this paper is to develop a joint production and maintenance control policy that minimizes the total cost composed of backlog, inventory holding, disposal and maintenance costs. The proposed parametrized joint control policy combines a multi hedging point policy and an age-based preventive maintenance policy. The optimization of the parameters of the proposed joint control policy is obtained using a simulation-based optimization approach and sensitivity analyses are provided to confirm its robustness. The obtained results show that the correlation between machine degradation and shelf-life reduction has a major influence on the control parameters and that preventive maintenance interventions can lead to increasing the shelf-life of products and minimizing the total cost. The proposed joint control policy is then compared to three other polices for a wide range of system and cost data. The obtained results show that the proposed joint control policy outperforms the other polices in terms of total incurred costs.


2015 ◽  
Vol 743 ◽  
pp. 189-195
Author(s):  
H.S. Su ◽  
J.D. Li

In consideration of the situation that the conventional preventive maintenance inspection cycle of the repairable device is not be changed as long as it is determined, based on continuous-time Markov processes, the repairable device preventive maintenance control strategy is studied. The preventive maintenance model is established, i.e., its state transition diagram, steady state value of the model is calculated, the control policy of device’s check rates based on device status is proposed, and the proposed control policy is simulated and confirmed using MATLAB. Simulation results show that under the proposed control policy rule, the actual operation curve of the system can well track the desired operation curve of the system, and finally can achieve the desired steady state value. Studies have shown that the method has some help to strengthen device maintenance management, improve device maintenance strategies, ensure that the device is repaired according to the state, and reduce maintenance costs of the device.


1994 ◽  
Vol 30 (5) ◽  
pp. 69-78 ◽  
Author(s):  
L. Somlyódy ◽  
M. Kularathna ◽  
I. Masliev

The Nitra is one of the most polluted rivers in Slovakia due to numerous municipal and industrial discharges, as well as the low level of wastewater treatment. The ongoing economic transition and lack of financial resources for water quality management calls for the development of short-run least-cost policies on the basis of ambient standards or a combination of ambient and effluent ones. A water quality control policy model was developed which incorporates dissolved oxygen simulation models, alternative municipal treatment plans and dynamic programming. Least-cost policies to achieve various water quality goals were developed and compared to effluent standard based strategies (including that deriving from the application of the “best available technology”). The role of industrial emissions was demonstrated in a sensitivity fashion, while the influence of parameter uncertainty on the developed policies was analyzed in a multiobjective framework. The analyses show that significant cost savings are possible in comparison to uniform, effluent standard policies. They also suggest that a long-term strategy should be realized on the basis of a sequence of properly phased least-cost policies corresponding to ambient standards to be tightened gradually.


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