Joint Optimal Production Control/Preventive Maintenance Policy for Imperfect Process Manufacturing Cell
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TLDR
An integrated approach for the joint optimization of production-inventory control and preventive maintenance policy for a manufacturing cell comprising an imperfect process where the ‘in-control’ period has a general deterioration distribution is dealt with.About:
This article is published in International Journal of Production Economics.The article was published on 2012-05-01 and is currently open access. It has received 65 citations till now. The article focuses on the topics: Preventive maintenance & Process manufacturing.read more
Figures
Figure 2 Inventory evolution according to Scenario 1 
Figure 6 Inventory holding during production phase 
Table 1 Sensitivity analysis for different cost parameters 
Figure 3 Inventory evolution according to Scenario 2 
Table 2 Sensitivity analysis for quality and restoration parameters 
Figure 5 Preventive maintenance actions performed during production phase
Citations
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Journal ArticleDOI
Mathematical Theory of Reliability
TL;DR: In this paper, the Mathematical Theory of Reliability (MTR) is used to describe the relationship between reliability and operational reliability in the context of the ORS problem, and it is shown that it can be achieved.
Journal ArticleDOI
Design and management of manufacturing systems for production quality
Marcello Colledani,Tullio Tolio,Anath Fischer,Benoît Iung,Gisela Lanza,Robert Schmitt,József Váncza,József Váncza +7 more
TL;DR: In this paper, a new paradigm aiming at going beyond traditional six-sigma approaches is proposed, which is extremely relevant in technology intensive and emerging strategic manufacturing sectors, such as aeronautics, automotive, energy, medical technology, micro-manufacturing, electronics and mechatronics.
Journal ArticleDOI
Strategic defect management for a sustainable green supply chain
TL;DR: In this paper, a vendor-buyer inventory strategy is formulated for an imperfect manufacturing process considering carbon-emissions and defect management, and the total profit is maximized by jointly optimizing the number of shipments, order quantity and backordering quantity.
Journal ArticleDOI
Joint optimization of X¯ control chart and preventive maintenance policies: A discrete-time Markov chain approach
TL;DR: An integrated model for the joint optimization of statistical process control and preventive maintenance, developed for a production process that deteriorates according to a discrete-time Markov chain is presented.
Journal ArticleDOI
Joint modeling of preventive maintenance and quality improvement for deteriorating single-machine manufacturing systems
Biao Lu,Xiaojun Zhou,Yanting Li +2 more
TL;DR: It is shown that the joint model can achieve a superior economic performance to the conventional PM model in general case and economic benefits can be created by integrating quality improvement into PM decision-making.
References
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Journal ArticleDOI
Optimum Preventive Maintenance Policies
TL;DR: In this paper, two types of preventive maintenance policies are considered, and the optimum policies are determined, in each case, as unique solutions of certain integral equations depending on the failure distribution.
Journal ArticleDOI
Optimal Lot Sizing, Process Quality Improvement and Setup Cost Reduction
TL;DR: It is demonstrated that lower setup costs can benefit production systems by improving quality control by introducing a simple model that captures a significant relationship between quality and lot size.
Journal ArticleDOI
Optimal control of production rate in a failure prone manufacturing system
Ram Akella,P. R. Kumar +1 more
TL;DR: A manufacturing system can be in one of two states: functional and failed, and it moves back and forth between these two states as a continuous time Markov chain, with mean time between failures = 1/ q1, and mean time to repair 1/q2.
Book
An algorithm for the computer control of a flexible manufacturing system
TL;DR: In this paper, a multilevel hierarchical control algorithm is proposed which involves a stochastic optimal control problem at the first level, and optimal production policies are characterized, and a computational scheme is described.
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