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首页> 外文期刊>Journal of Applied Mechanical Engineering >Designing a Bi-objective Integrating Mathematical Model for DynamicSustainable Cellular Manufacturing Systems Considering ProductionPlanning
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Designing a Bi-objective Integrating Mathematical Model for DynamicSustainable Cellular Manufacturing Systems Considering ProductionPlanning

机译:考虑生产计划的动态可持续蜂窝制造系统双目标集成数学模型的设计

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Increasing the profits of producers solely or alternatively minimizing production costs for manufacturers were considered in classical models for planning and designing cellular manufacturing systems. Provided that, with the expansion of manufacturing systems and the increasing demand for products, devastating effects of increasing levels of greenhouse gases on the environment has become more evident and has gained the attention of governments. Besides, the satisfaction of workers’ working conditions, sound pollution and other issues, are vital to establish a sustainable manufacturing system. In this paper, a multi-objective mathematical model (linearonlinear) is presented to create stable cellular manufacturing system regarding to mentioned matters in order to minimize the costs of system establishment in addition to optimizing the environmental impacts of the manufacturing system. This model is introduced as a stable cellular manufacturing system (SCMS) and in fact is seeking for a solution to create a manufacturing system in which all factors such as producers, the environment, workers and other are beneficiaries. Also, Epsilon Constraint/LP metric/Pareto Front multi-objective approach given the weights of objectives is used to solve the model.
机译:在规划和设计蜂窝制造系统的经典模型中,考虑了仅提高生产商的利润或使制造商的生产成本最小化。前提是,随着制造系统的扩展和产品需求的增加,温室气体水平增加对环境的破坏性影响变得更加明显,并引起了政府的关注。此外,满足工人的工作条件,声音污染和其他问题,对于建立可持续的制造体系至关重要。在本文中,提出了一个多目标数学模型(线性/非线性),以针对上述问题创建稳定的细胞制造系统,从而在优化制造系统的环境影响的同时,最大程度地降低系统构建成本。该模型是作为稳定的蜂窝制造系统(SCMS)引入的,并且实际上正在寻找一种解决方案来创建制造系统,其中所有生产者,环境,工人和其他因素都是受益者。同样,使用Epsilon约束/ LP度量/ Pareto Front多目标方法(给出目标权重)来求解模型。

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