帮忙翻译一下 工程管理专业的 谷歌翻译的就不要打上来了

帮忙翻译一下 工程管理专业的 谷歌翻译的就不要打上来了
As a starting point, we have to claim that the different objectives much be contradictory. Otherwise, the problem can be easily solved with the scalar multi-objective optimization. Since scheduling problems are first discussed here , specific objectives usually studied air described. In scheduling problems; the most studied criterion is the makespan minimization which increases the production rate of the system. Another objective is the minimization of the total tardiness of the tasks which increases the service quality and customers' satisfaction. Another objective is the variability of the cycle time which decreases sudden changes in the workload. Thus, dealing with multi-objective optimization is therefore with a challenge to tackle and encounter the tradeoff between several criteria or objectives.
For the multi-objective lines design problems such as buffers sizing, line balancing or equipment selections, different objectives may be taken in consideration. Two criteria are generally the most studied ones: the minimization of the cost of the line and the maximization of the line throughout rate. The cost minimization allows lines manufacturers to be more competitive in the market. Besides, the line throughput rate maximization allows enhancing the service level for example. However, throughput rate maximization means automatically being constraint to use efficient machines which are naturally more expensive than less efficient machines. A trade-off must be found to maximize the technical objective(throughput rate) and to minimize the financial objective(the cost of the line).

As a starting point, we have to claim that the different objectives much be contradictory. Otherwise, the problem can be easily solved with the scalar multi-objective optimization. Since scheduling problems are first discussed here , specific objectives usually studied air described. In scheduling problems; the most studied criterion is the makespan minimization which increases the production rate of the system. Another objective is the minimization of the total tardiness of the tasks which increases the service quality and customers' satisfaction. Another objective is the variability of the cycle time which decreases sudden changes in the workload. Thus, dealing with multi-objective optimization is therefore with a challenge to tackle and encounter the tradeoff between several criteria or objectives.作为起点，我们必须说明不同的目标（much-must）相互之间一定是存在矛盾的。否则，该问题应该能够通过标量多目标优化的方式解决。既然首先研究的是各种进度安排问题，各个具体目标通常得到研究（气氛描述）[注：感觉此处原文有误]在各种进度安排问题中，研究最多的标准就是完成时间最小化，该标准提高系统的生产效率。另一个目标是任务总延迟时间的最小化，该目标可以提高服务质量和客户满意度。另一个目标是生产周期的变异度，该目标可以减少工作量发生突变的频率。因此，采用标量多目标优化方式来处理和对待不同标准及目标之间的取舍问题时是具有一定挑战的。 For the multi-objective lines design problems such as buffers sizing, line balancing or equipment selections, different objectives may be taken in consideration. Two criteria are generally the most studied ones: the minimization of the cost of the line and the maximization of the line throughout rate. The cost minimization allows lines manufacturers to be more competitive in the market. Besides, the line throughput rate maximization allows enhancing the service level for example. However, throughput rate maximization means automatically being constraint to use efficient machines which are naturally more expensive than less efficient machines. A trade-off must be found to maximize the technical objective(throughput rate) and to minimize the financial objective(the cost of the line).因此对于各种多目标线路设计问题，比如各个缓冲器的大小，线路平衡和设备选择等， 各个不同的目标可能都要考虑在内。两个测量标准通常是人们研究最多的：线路成本最低化以及线路生产量效率的最大化。成本最小化让线路制造商家在市场上更有竞争力。此外，生产线生产量效率最大化可以提高服务水平，举个例子而已。然而，生产量效率最大化意味着自动受限于只能使用高效率的机器设备，而这些设备与便宜的设备比起来一定会更昂贵。一定要找到一个取舍点来使技术目标（生产量效率）最大化同时财政预算目标（生产线成本）最小化。
throughput rate的翻译不一定专业
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