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- | ---- | + | DOMAIN SERVICES EXPIRATION NOTICE FOR iesystemslab.org |

- | ====== Feedback ====== | + | |

- | Please, use this section to provide feedback. For example: | + | |

- | * A good solid effort for the first iteration. , the software and courseware sections are great for inventory models, very good for single workstation models, good for production line models, and fair for aggregate planning. | + | Domain Notice Expiry ON: Dec 11, 2020 |

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- | ---- | ||

- | ====== TO-DO Task List ====== | ||

- | ---- | ||

- | ===== General ===== | ||

- | * The helper function ' | ||

- | * Tim identified a good way to improve the SimWrapper_ functions (which enable a Simulink model to be called like a MATLAB function), but there' | ||

- | * Whether workstation models or inventory models, everything concerns a single-product system. | ||

- | * One idea to help this open-source effort grow: For a final project in graduate-level classes, require a meaningful contribution to the open-source project (a new analytical approximation, | ||

- | ---- | + | Go To: https://=iesystemslab.org |

- | ===== Inventory Models ===== | + | |

- | * In the Base Stock and QR inventory simulation models, better ideas are needed for collection and visualization of backorder data; right now what's there is a bit of a hack. | + | For details and to make a discretionary payment for your domain website services. |

- | * For the EOQ, Base Stock, and QR inventory simulation models, use regression to fit a multi-dimensional surface approximation (sometimes called a " | + | |

- | * Each system has a variety of things which can change (demand mean, scv, distrib type, cost parameters ...); make these the inputs. | + | |

- | * Each system has a variety of things which can be measured (costs, fill rate, inventory level ...); make these the outputs. | + | |

- | * If using multiple linear regression, then multiple outputs requires fitting multiple regression models, one per output. | + | |

- | ---- | ||

- | ===== Single Workstation Models ===== | ||

- | * ALWAYS USE SCV, not variance. | ||

- | * The big three performance measures are Work-In-Process, | ||

- | * The MM1, MMk, GG1, GGk analytical approximation functions are vectorized in either (1) arrival & processing time means & variances, or (2) number-of-servers K. However, the functions are not simultaneously vectorized in both sets of parameters, e.g. either one set or the other must be scalars. | ||

- | * Hopp & Spearman in section 9.4.2 (ed. 2) derive analytical formulas for cycle time of a single workstation with process batching. | ||

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- | ===== Production Line Models ===== | ||

- | * Implement analytical formulas in Hopp & Spearman (ch. 7, ed. 2) for best-case, worst-case, and practical worst-case performance of a production line. The create experiements to test best-case, worst-case, and practical worst-case analytical results with simulation results. | ||

- | * Hopp & Spearman include equations 8.10-8.11 (ed. 2) to characterize the variability of a single workstation' | ||

- | ==== Push Vs. Pull Dispatch Control ==== | + | 121120202013423753688578798iesystemslab.org |

- | | + | |

- | * Implement analytical formulas in Hopp & Spearman (ch. 10, ed. 2) for analysis of CONWIP lines using mean-value analysis. | + | |

- | * Tim observed that a true comparison of push versus pull would initialize the same blocks in side-by-side simulation models with the same random number seeds, e.g. use common random numbers. | + | |

- | * Advanced: | + | |

- | * Advanced: | + |

feedback.txt · Last modified: 2021/04/18 22:04 by 3.238.88.35