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Proposta de um modelo de programa??o linear para otimiza??o do planejamento agregado de produ??o de brocas para empresa multinacional

机译:关于优化跨国公司钻头生产总体计划的线性程序模型的建议

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The complexity of the organizational processes and the needs of improving their results make the industrial companies to search for effective alternatives for the planning and management of production systems, which generally impact in the performance of the entire supply chain. In this context, the use of optimization models and tools can give the organization great benefits. The present study proposes a linear programming model for the optimization of the aggregate planning for the manufacturing of items of a metalworking sector company (drill bits company). The objective function of the proposed model maximizes the contribution margins of the products, respecting the capacity and demand constraints for multiperiod planning. This study also presents evaluation scenarios that may be useful in the management of the manufacturing activities. The applied methodology shown itself to be powerful to define and improve the aggregate planning activities, helping to determine the products mix and upgrading the management decisions, which confirms the viability of the applied method and reaches the goals. Assuming a specific scenario representing the current conditions of the production plan conducted in the company, the proposed model achieved an improvement in the contribution margin of more than 7%. In addition to assisting in decision making, the use of the mathematical model allows the generation of an important database for managers, who can report to the executives the characteristics of the production planning and company's results, in a quick, direct and quantitative way.
机译:组织过程的复杂性和改进结果的需求使工业公司寻求有效的替代方案来计划和管理生产系统,这通常会影响整个供应链的绩效。在这种情况下,使用优化模型和工具可以为组织带来巨大的好处。本研究提出了一种线性规划模型,用于优化金属加工行业公司(钻头公司)的零件制造总计划。提出的模型的目标函数最大化了产品的边际收益,同时考虑了多周期计划的容量和需求约束。这项研究还提出了可能对制造活动的管理有用的评估方案。应用的方法论显示出自身强大的能力来定义和改进总体计划活动,有助于确定产品组合并升级管理决策,从而确认了应用方法的可行性并达到了目标。假设特定的情况代表了公司中生产计划的当前状况,则所提出的模型将贡献率提高了7%以上。除了协助决策外,数学模型的使用还可以为管理人员生成重要的数据库,管理人员可以通过快速,直接和定量的方式向执行人员报告生产计划和公司业绩的特征。

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