tailieunhanh - Lecture Advances in supply chain management - Chapter 28

After studying this chapter you will be able to: Explain the concept of a learning curve, make time estimates based on learning curves, list and briefly describe some of the main applications of learning curves, outline some of the cautions and criticisms of learning curves, estimate learning rates from data on job times. | 2 PART IV ARCHITECTURE OF SELECTED APS 3 SUMMARY of Last Lecture Several lessons were learned in the last lecture. One of the most important is that master data quality has to improve significantly in the connected R/3 system. As the R/3 is not only used to perform ERP functionality as before but also has to serve as master data source for an APS the quality of data must be improved. An APS reacts much more sensitive to master data inconsistencies than an ERP system because these master data are used for a very detailed planning process. Master data which are created and maintained for ERP functions will not be good enough. Furthermore the integration of the planners in the project proved to be crucial. As they have all the knowledge which is necessary to create a good production schedule they must be part of the project from the beginning to ensure success. An APS project can never be brought to life without the planners who are supposed to work with that tool afterwards. PPM STRUCTURE OF THE PRODUCTION PROCESS 4 5 Results and Lesson Learned The implementation of APO PP/DS proved to be very successful. As the APO detailed scheduling solution has now been in active use for more than 3 years in the first edition which covers only the dyed granulate production it can be stated that expectations are fully met. Results show that the quality of the generated plans is as good as that of the plans created by experts. The difference between the plans created manually and those created by APO is the speed and the flexibility in planning: previously, it took several planners more than 1 day to create a production plan which was fixed for several weeks. Now, APO plans the same number of orders in an optimizer run which takes approximately 1 h. The frozen horizon could be reduced from about 1 week to 1 or 2 days. Only one of the planners is involved in the detailed production scheduling using the graphical planning board and the genetic algorithm optimizer, which Cont’d runs | 2 PART IV ARCHITECTURE OF SELECTED APS 3 SUMMARY of Last Lecture Several lessons were learned in the last lecture. One of the most important is that master data quality has to improve significantly in the connected R/3 system. As the R/3 is not only used to perform ERP functionality as before but also has to serve as master data source for an APS the quality of data must be improved. An APS reacts much more sensitive to master data inconsistencies than an ERP system because these master data are used for a very detailed planning process. Master data which are created and maintained for ERP functions will not be good enough. Furthermore the integration of the planners in the project proved to be crucial. As they have all the knowledge which is necessary to create a good production schedule they must be part of the project from the beginning to ensure success. An APS project can never be brought to life without the planners who are supposed to work with that tool afterwards. PPM .