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Meeting Agenda 02-18-14

Meeting Agenda 02-18-14. Overview ( 概观 ) Recap questions from last week ( 上周遗留问题 ) Simulation with increased number of inputs ( 训练数据增加仿真结果 ). (1) Overview ( 概观 ). Previous Week and Current Week: Initial research on optimization. ( 研究不同的优化 算法 )

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Meeting Agenda 02-18-14

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  1. Meeting Agenda 02-18-14 • Overview (概观) • Recap questions from last week (上周遗留问题) • Simulation with increased number of inputs (训练数据增加仿真结果)

  2. (1) Overview (概观) • Previous Week and Current Week: • Initial research on optimization. (研究不同的优化算法) • Simulations with increased number of inputs. (训练数据增加仿真结果) • Finalized the input sheet format. (更新输入格式) • Received the new KPI from SEAS. (新的输出指标已收到) • Next Week: • Finish 28 Input sheets and run simulations with the new KPI’s (完成28个情境的输入及使用新的输出指标做训练) • Continue the work with optimization (继续研究优化的算法)

  3. (2) 上周遗留问题 1、Whether to include every steps/and parts from the scheduling plan to input sheet? (输入矩阵是否涵盖所有非间键零件，及所有排程道次) 我们认为非关键零件及非关键道次对输出指标的影响较小，所以暂时不作输入 2、Whether to take sum or average of the batch size within a workorder? (输入矩阵中的批次大小要以相加方式作输入还是平均) 我们决定以相加作为输入还避免多台设备同时加工的情况 • 3、Explain the details of the input data that will be trained. • 训练数据的细节解释

  4. Input Data for Training Purpose • Workorder index (10) • Sum of delay on 1st critical step (10) • Sum of delay on 2ndcritical step (10) • Sum of delay on 3rdcritical step (10) • Sum of delay on 4th critical step (10) • Sum of delay on 5th critical step (10) • Sum of delay on 6th critical step (10) • Sum of delay on 7th critical step (10) • Sum of delay on 8th critical step (10) • Sum of batch size within workorder(10) • Sum of unit processing time (before critical steps) (10) • Sum of delay on non-critical step (10) • Sum of unit processing time (10) • Sum of machine breakdown time (10) • Sum of over time (10) • Sum of unit processing time (after critical steps) (10) Total of 160 inputs

  5. (3) Simulation with increased number of inputs • In the future, more inputs might be necessary for each month. • In these simulations we increased the number of inputs in each month from 150 to 300. • The 150 inputs were doubled to create 300 inputs

  6. Simulation Results

  7. Conclusions • The results show that the network training was successful even after increasing the inputs from 150 to 300. • The MSE did increase when the number of inputs were increased. • For future simulations, the work-order index can also be included as an input to observe is effect on the KPI.

  8. Constraints for optimization • Developed some basic constraints for the purpose of optimization • Overtime hours per critical step • where a and b are different for every work order • #

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