BCWE — различия между версиями
AlexHel (обсуждение | вклад) |
AlexHel (обсуждение | вклад) |
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| (не показаны 2 промежуточные версии этого же участника) | |||
| Строка 6: | Строка 6: | ||
| − | 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 $ including the SKU quantity changes and clients quantity changes. | + | 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 $ including the SKU quantity changes $K_sku$ and clients quantity changes $K_clients$. $K_clients$ and K_sku$ are presented in excel file https://drive.google.com/file/d/1GE69O8sGxwikT8X6UvjZtn_w8ZItLAhg/view?usp=sharing |
| + | The scale of business is calculated for the number of raws. | ||
| + | |||
| + | К=raws quantity per day in calculated file with orders / raws quantity per day | ||
| + | of source file | ||
Further, on this array, you need to simulate the shipping process and generate the reporting file in a given YAML/JSON format. | Further, on this array, you need to simulate the shipping process and generate the reporting file in a given YAML/JSON format. | ||
| Строка 17: | Строка 21: | ||
One SKU can be in different positions at several stations. | One SKU can be in different positions at several stations. | ||
| − | It is allowed to change SKU for empty positions at any time. | + | '''Rejected Dec 12''' 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 for simulation data. | The Tableau Software should be integrated to the simulation tool and 6-8 widgets should be developed to present the solution for simulation data. | ||
| Строка 64: | Строка 68: | ||
Один товар может находиться в различных ячейках на нескольких станциях. | Один товар может находиться в различных ячейках на нескольких станциях. | ||
| − | Разрешена смена SKU для ячеек, в которых закончился товар. | + | '''Rejected Dec 12''' Разрешена смена SKU для ячеек, в которых закончился товар. |
Текущая версия на 15:17, 22 декабря 2020
Task description:
An array of simulatedshipments for a period of one month (4 weeks) is given as the initial data.
Each pair of students should solve the quest for two own variants and one typical for all
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 $ including the SKU quantity changes $K_sku$ and clients quantity changes $K_clients$. $K_clients$ and K_sku$ are presented in excel file https://drive.google.com/file/d/1GE69O8sGxwikT8X6UvjZtn_w8ZItLAhg/view?usp=sharing
The scale of business is calculated for the number of raws.
К=raws quantity per day in calculated file with orders / raws quantity per day of source file
Further, on this array, you need to simulate the shipping process and generate the reporting file in a given YAML/JSON 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.
Up to $ N_ {emp} = 4 $ employees can work at one station simultaneously.
One SKU can be in different positions at several stations.
Rejected Dec 12 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 for simulation data.
Vidgets should be determined and used fron the vidget list& Each student shold propose his own wget for data analysys We need the visualisation for
- Orders processing characteristics
- Stations and workers availability
- Routes start and finish timestamps
- general statistics for raw processing on the timeline
Expected results:
https://drive.google.com/drive/folders/1wm_Mg5FbcLirVAEG2DOrfrWf535om2_h?usp=sharing
ST2187-2020-FIO-BCWE.XXX
FIO - latin like IvanovII
- Report in Latex / PDF ST2187-2020-FIO-BCWE.pdf
- Python project source code ST2187-2020-FIO-BCWE.py
- Orders data for the period from Jan 1 2021 till Mar 31 2021 ST2187-2020-FIO-BCWE.csv
- Tableau screenshots ST2187-2020-FIO-BMU3-1.png and ST2187-2020-FIO-BCWE-2.png for 15:00 and 18:00
- Log file of simulation in YAML format ST2187-2020-FIO-BCWE.yaml / json / csv
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 $K$ включающего изменение числа клиентов и изменение числа SKU.
Далее на этом массиве нужно выполнить симуляцию процесса отгрузки с формированием файла отчетности в заданном формате YAML/JSON.
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.
Rejected Dec 12 Разрешена смена SKU для ячеек, в которых закончился товар.
