BMU3 — различия между версиями
AlexHel (обсуждение | вклад) |
AlexHel (обсуждение | вклад) |
||
| (не показано 10 промежуточных версии этого же участника) | |||
| Строка 1: | Строка 1: | ||
'''Task description:''' | '''Task description:''' | ||
| + | |||
An array of shipments for a period of one month is given as the initial data. | An array of shipments for a period of one month is given as the initial data. | ||
| + | |||
| + | https://drive.google.com/drive/folders/1u_GZI6KuxwQUr58nuSzkDDrIIDW6EaJv?usp=sharing | ||
| + | |||
| + | Each pair of students should solve the quest for two variants | ||
| + | |||
| + | Personal coefficients are in file https://drive.google.com/file/d/1GE69O8sGxwikT8X6UvjZtn_w8ZItLAhg/view?usp=sharing | ||
| + | |||
| + | |||
| + | |||
You need to simulate the orders list for an arbitrary number of days, taking into account the scaling of the business with a factor of $ K $. | You need to simulate the orders list for an arbitrary number of days, taking into account the scaling of the business with a factor of $ K $. | ||
| Строка 17: | Строка 27: | ||
The Tableau Software should be integrated to the simulation tool and 6-8 widgets should be developed to present the solution. | The Tableau Software should be integrated to the simulation tool and 6-8 widgets should be developed to present the solution. | ||
| + | |||
| + | |||
| + | '''The advanced task after Dec 12 00:00 ''' | ||
| + | |||
| + | We will suppose that workers are not the same. 50% of them are not experienced and have the 1.5 larger time for all operations | ||
| + | The rest rules are the same | ||
| + | |||
| + | Deadline is Dec 19 00:00 and this is final date to get points for the exam's result | ||
'''Expected results:''' | '''Expected results:''' | ||
| Строка 22: | Строка 40: | ||
https://drive.google.com/drive/folders/1wm_Mg5FbcLirVAEG2DOrfrWf535om2_h?usp=sharing | https://drive.google.com/drive/folders/1wm_Mg5FbcLirVAEG2DOrfrWf535om2_h?usp=sharing | ||
| − | Report in Latex / PDF | + | ST2187-2020-FIO-BMU3.XXX |
| − | Python project source code | + | |
| − | Orders data for the period from Jan 1 2021 till Mar 31 2021 | + | FIO - latin like IvanovII |
| + | |||
| + | 1) Report in Latex / PDF ST2187-2020-FIO-BMU3.pdf | ||
| + | |||
| + | 2) Python project source code ST2187-2020-FIO-BMU3.py | ||
| + | |||
| + | 3) Orders data for the period from Jan 1 2021 till Mar 31 2021 ST2187-2020-FIO-BMU3.csv | ||
| − | Tableau | + | 4) Tableau screenshots ST2187-2020-FIO-BMU3-1.png and ST2187-2020-FIO-BMU3-2.png |
| + | 5) Log file of simulation in YAML format ST2187-2020-FIO-BMU3.yaml | ||
| + | [[ST2187_Business_analytics,_applied_modelling_and_prediction|Вернуться в начало курса ST2187_Business_analytics,_applied_modelling_and_prediction]] | ||
| + | '''RU''' | ||
В качестве исходных данных дан массив отгрузок за период продолжительностью в месяц. | В качестве исходных данных дан массив отгрузок за период продолжительностью в месяц. | ||
Текущая версия на 23:50, 11 декабря 2020
Task description:
An array of shipments for a period of one month is given as the initial data.
https://drive.google.com/drive/folders/1u_GZI6KuxwQUr58nuSzkDDrIIDW6EaJv?usp=sharing
Each pair of students should solve the quest for two variants
Personal coefficients are in file https://drive.google.com/file/d/1GE69O8sGxwikT8X6UvjZtn_w8ZItLAhg/view?usp=sharing
You need to simulate the orders list for an arbitrary number of days, taking into account the scaling of the business with a factor of $ K $.
Further, on this array, you need to simulate the shipping process and generate the reporting file in a given format.
Next, you need to estimate the number of stations required to fulfill the shipment within 24 hours and optimize the positioning of items SKU in the warehouse.
The original array can be cleaned from lines out of the logic until December 5th.
Up to $ N_ {emp} = 4 $ employees can work at one station simultaneously.
One SKU can be in different positions at several stations.
It is allowed to change SKU for empty positions at any time.
The Tableau Software should be integrated to the simulation tool and 6-8 widgets should be developed to present the solution.
The advanced task after Dec 12 00:00
We will suppose that workers are not the same. 50% of them are not experienced and have the 1.5 larger time for all operations The rest rules are the same
Deadline is Dec 19 00:00 and this is final date to get points for the exam's result
Expected results:
https://drive.google.com/drive/folders/1wm_Mg5FbcLirVAEG2DOrfrWf535om2_h?usp=sharing
ST2187-2020-FIO-BMU3.XXX
FIO - latin like IvanovII
1) Report in Latex / PDF ST2187-2020-FIO-BMU3.pdf
2) Python project source code ST2187-2020-FIO-BMU3.py
3) Orders data for the period from Jan 1 2021 till Mar 31 2021 ST2187-2020-FIO-BMU3.csv
4) Tableau screenshots ST2187-2020-FIO-BMU3-1.png and ST2187-2020-FIO-BMU3-2.png
5) Log file of simulation in YAML format ST2187-2020-FIO-BMU3.yaml
Вернуться в начало курса ST2187_Business_analytics,_applied_modelling_and_prediction
RU
В качестве исходных данных дан массив отгрузок за период продолжительностью в месяц.
Необходимо смоделировать задание на отгрузку на произвольное количество дней с учем масштабирования бизнеса с коэффициентом $K$.
Далее на этом массиве нужно выполнить симуляцию процесса отгрузки с формированием файла отчетности в заданном формате.
Далее необходимо оценить количество станций необходимое для решения задачи отгрузки в течение суток и оптимизировать размещение товара по складу.
Исходный массив можно почистить от выпадающих из логики строк до 5 декабря.
На одной станции может работать одновременно до $N_{emp}=4$ сотрудников.
Один товар может находиться в различных ячейках на нескольких станциях.
Разрешена смена SKU для ячеек, в которых закончился товар.
