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首页> 外文期刊>International journal of production economics >Solving A Multi-period Supply Chain Problem For A Pulp Company Using Heuristics-an Application To Soedra Cell Ab
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Solving A Multi-period Supply Chain Problem For A Pulp Company Using Heuristics-an Application To Soedra Cell Ab

机译:使用启发式方法解决纸浆公司的多周期供应链问题-在Soedra Cell Ab中的应用

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摘要

In this paper, the integrated planning of production and distribution for a pulp company is considered. The tactical decisions included regard transportation of raw materials from harvest areas to pulp mills; production mix and contents at pulp mills; inventory; distribution of pulp products from mills to customers and the selection of potential orders and their levels at customers. The planning period is one year and several time periods are included. As a solution approach we make use of two different heuristic approaches. The main reason to use heuristics is the need for quick solution times. The first heuristic is based on a rolling planning horizon where iteratively a fixed number of time periods is taken into consideration. The second heuristic is based on Lagrangian decomposition and subgradient optimization. This provides optimistic bounds of the optimal objective function value that are better than the LP relaxation value, which can be used as a measure of the heuristic (pessimistic) solution quality. In addition, we apply the proposed rolling horizon heuristic in each iteration of the subgradient optimization. A number of cases based on real data is analysed which shows that the proposed solution approach is simple and provides high quality solutions.
机译:在本文中,考虑了纸浆公司的生产和分销的综合计划。战术决策包括将原料从收割区运输到纸浆厂。制浆厂的生产结构和内容;库存;从纸浆厂向客户分配纸浆产品,以及选择潜在订单及其在客户中的水平。计划期为一年,其中包括几个时间段。作为一种解决方法,我们使用两种不同的启发式方法。使用启发式的主要原因是需要快速的求解时间。第一种启发式方法基于滚动计划范围,其中迭代地考虑了固定数量的时间段。第二种启发式方法基于拉格朗日分解和次梯度优化。这提供了比LP松弛值更好的最佳目标函数值的乐观范围,该范围可以用作启发式(悲观)解决方案质量的度量。此外,我们在次梯度优化的每次迭代中应用了建议的滚动层启发式算法。分析了许多基于实际数据的案例,这些案例表明所提出的解决方案方法简单并且可以提供高质量的解决方案。

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