Making use of the matrix theories, this paper researches on multi-cost drivers combination and representative cost driver identification to reduce the system complexity in implementing ABC process.
运用矩阵理论,研究abc系统实施过程中为减少系统复杂性所进行的多成本动因合并和代表成本动因的确定问题。
In general, prototyping requires a flexible, dynamic tool set that supports the creation of representative functionality in a short amount of time at a very small cost.
通常,原型设计需要一个灵活的、动态的工具集,而该工具集能够在很短时间内、以很低的费用来创建典型的功能。
Compared with representative PFSP scheduling algorithms, the proposed algorithm can obtain good balance between quality of schedule and computational cost.
与历史文献中该问题的代表性算法比较,该算法可在调度质量与计算费用之间获得较好的平衡。
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