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Profitability of a multi-model manufacturing line versus multiple dedicated lines

机译:多模型制造线与多个专用线路的盈利能力

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We study a problem to decide which of the two manufacturing configurations - multiple dedicated lines or a single multi-model manufacturing line - is economically more preferable for manufacturing products of several types in a given time period. The goal of employing any of the two configurations is to maximize the total profit, subject to the product demand and manufacturing time constraints. The selection problem is reduced to two optimization problems, for one of which a polynomial time algorithm is developed, and NP-hardness is demonstrated for the other. A dynamic programming algorithm, a constructive greedy heuristic, a randomized heuristic and a local search algorithm with steepest ascent hill climbing are presented for the NP-hard problem. Computer experiments with the heuristics, local search algorithm and a commercial solver of the corresponding integer linear programming problem are described, which demonstrated appropriate quality of the heuristic and local search solutions. The proposed methodology and software can be used to evaluate different input data scenarios while making a selection decision between the two manufacturing configurations. The product demand and selling prices, setup and manufacturing times, demand and production cancellations are the parameters that affect the selection decision.
机译:我们研究了一个问题,以确定两种制造配置中的哪一个 - 多种专用线路或单个多模型制造线 - 在给定的时间段内的制造若干类型的产品是更优选的。采用两种配置中的任何一种的目标是最大限度地提高符合产品需求和制造时间限制的总利润。选择问题减少到两个优化问题,对于其中开发多项式时间算法的一个优化问题,并且对另一个进行了NP硬度。一种动态编程算法,一个建设性的贪婪启发式,随机启发式和具有陡峭上升山攀爬的本地搜索算法,用于NP难题。描述了HeuRistics,本地搜索算法和商业求解器的计算机实验描述了相应整数线性编程问题,这表明了启发式和本地搜索解决方案的适当质量。所提出的方法和软件可用于评估不同的输入数据场景,同时在两种制造配置之间进行选择决策。产品需求和销售价格,设置和制造时间,需求和生产取消是影响选择决策的参数。

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