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Simulation-optimisation based framework for Sales and Operations Planning taking into account new products opportunities in a co-production context

机译:基于仿真优化的销售和运营规划框架,考虑到新产品在共同生产背景下的机会

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Highlights?In North American lumber mills, new products demand lead to uncertain profits.?A simulation-optimisation based framework is proposed to handle new products demand.?A log breakdown simulator is used to create production data.?An optimization model then generates a sales and operations plan.?Through a case study, the benefits of the approach are shown.AbstractThe North American lumber industry produces mostly commodity products (i.e. products with standard dimensions and properties). However, some customers also want products showing very specific characteristics. Because sawing involves co-production (many different types of lumbers are obtained from a single tree), sawmills do not know how the introduction of a new “speciality” product will affect quantities for the other products they also produce. We propose a simulation-optimisation based framework to tackle the kinds of problems such as these, where classical formulations cannot be used. A log breakdown simulator is used in combination with a tactical planning model in order to realise Sales and Operations Planning. The plan gives the information to the decision maker about which orders for speciality products should be accepted, what to produce and when, as well as the equipment settings to use and the raw material to buy/consume at each period. Through an industry-inspired case study, we show how the framework can lead to substantial benefits.]]>
机译:<![cdata [ 突出显示 在北美木材厂,新产品需求导致不确定的利润。 < CE:list-item id =“lsti0010”> 提出了一种基于仿真优化的框架来处理新产品需求。 日志细分模拟器用于创建生产数据。 优化模型然后生成Ales和Operations计划。 通过案例研究,显示了该方法的好处。 < / ce:abstract-sec> 抽象 北美木材行业生产大多数商品产品(即具有标准尺寸和性能的产品)。但是,有些客户也希望产品显示出非常特定的特征。由于锯切涉及共同生产(许多不同类型的木材从一棵树获得),所以锯木厂不知道如何引入新的“专业”产品会影响它们也产生的其他产品的数量。我们提出了一种基于仿真优化的框架,以解决这些问题,例如这些问题,其中无法使用经典的配方。日志细分模拟器与战术规划模型结合使用,以实现销售和运营规划。该计划向决策者提供了关于应接受特种产品订单的决策者的信息,在每个时期使用和何时使用的设备以及设备设置以及原料在每个时期购买/消耗的原料。通过行业启发的案例研究,我们展示了框架如何导致大量效益。 ]]>

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