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In this paper, a new multi-objective mathematical model for dynamic cellular manufacturing system (DCMS) is provided with consideration of machine reliability and alternative process routes.
Jabal Ameli et al. (2008) solved multi-objective DCMS model regarding machine reliability and multiple production routes, using ɛ - constraint method.
Periodic preventive maintenance, which is a fundamental part of JIT production, consists of regular preventive measures to increase machine reliability and to decrease breakdown probability during manufacturing process.
The paper proposes a preventive maintenance (PM) planning model for the performance improvement of cellular manufacturing systems (CMS) in terms of machine reliability, and resource utilization.
One of the consequences of this transition will be a shift in emphasis from scientific achievement to maximizing machine reliability and availability.
The various aspects of the problem should be considered in a CF. The machine reliability and the tool assigned to them are the most important problems which have to be modeled correctly.
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These forces heavily load the mechanical structure of RFX-mod and their effects are measured and monitored in order to assess the expected structural response and machine reliability during operation.
Further considerations to machine capacity and machine reliability are also given.
Further, they studied on alternative process routings for part types and machine reliability considerations.
The paper addresses machine reliability consideration by Weibull and exponential distribution approach in designing a cellular manufacturing system (CMS).
Jouzdani et al. (2014) proposed a mathematical model with alternative processing routes and machine reliability which is solved by improved SA (Jouzdani et al. 2014).
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