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| import streamlit as st | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| import pandas as pd | |
| import math | |
| st.set_page_config( | |
| page_title="Ex-stream-ly Cool App", | |
| page_icon="🧊", | |
| layout="wide", | |
| initial_sidebar_state="expanded" | |
| ) | |
| st.title("Калькулятор Toyota 📦") | |
| st.subheader('Toyota Material Handling') | |
| st.write(""" | |
| тут информация про калькулятор | |
| """) | |
| col1, col2 = st.columns(2) | |
| Number_of_incoming_pallets = st.number_input('Количество поступаемых паллет, паллет/месяц', value=40) | |
| Number_of_pallets_shipped = st.number_input('Количество отгружаемых паллет, паллет/месяц', value=40) | |
| The_average_cost_of_one_product = st.number_input('Средняя стоимость одного товара, руб.', value=3000) | |
| with col1: | |
| The_cost_of_warehouse_maintenance_services = st.number_input('Стоимость услуг по обеспечению склада, руб./месяц', value=50000) | |
| Average_salary = st.number_input('Средняя зарпала, сотрудник', value=50850) | |
| Equipment_breakdown_rate_in_stock = st.number_input('Коэффициент поломки оборудования на складе, %', value=5) | |
| The_cost_of_equipment_repair_in_the_warehouse = st.number_input('Стоимость ремонта оборудования на складе, руб./шт.', value=20000) | |
| The_cost_of_warehouse_information_support = st.number_input('Стоимость информационной поддержки склада, руб./месяц', value=20000) | |
| Spoilage_coefficient = st.number_input('Коэффициент порчи, %', value=0.1) | |
| Number_of_working_hours_per_month = st.number_input('Количество рабочих часов в месяц, час', value=176) | |
| Average_number_of_goods_per_pallet = st.number_input('Среднее количество товаров в одном паллете, шт./палелт', value=120) | |
| Productivity_of_one_employee = st.number_input('Производительность одного сотрудника, паллетомест/час', value=0.2) | |
| with col2: | |
| Price_for_processing_ont_pallet = st.number_input('Цена за обработку 1 паллета, руб.', value=300) | |
| def get_average_number_of_damaged_goods(): | |
| return (Number_of_incoming_pallets + Number_of_pallets_shipped) * Spoilage_coefficient * Average_number_of_goods_per_pallet | |
| def get_cnt_emplyes_and_equipment(): | |
| The_number_of_pallets_processed_by_one_employee = Productivity_of_one_employee * Number_of_working_hours_per_month | |
| Number_of_employees = math.ceil((Number_of_incoming_pallets + Number_of_pallets_shipped) / The_number_of_pallets_processed_by_one_employee) | |
| return Number_of_employees, Number_of_employees | |
| def get_insource_cost(): | |
| Wage_fund = Number_of_employees * Average_salary | |
| The_cost_of_repairing_broken_equipment = Number_of_equipment * The_cost_of_equipment_repair_in_the_warehouse * Equipment_breakdown_rate_in_stock / 100 | |
| Spoilage = Average_number_of_damaged_goods * The_average_cost_of_one_product | |
| return The_cost_of_warehouse_maintenance_services + Wage_fund + The_cost_of_repairing_broken_equipment + The_cost_of_warehouse_information_support + Spoilage | |
| def get_outsource_cost(): | |
| pass | |
| if st.button('Расчет эффективности'): | |
| Number_of_employees, Number_of_equipment = get_cnt_emplyes_and_equipment() | |
| Average_number_of_damaged_goods = get_average_number_of_damaged_goods() | |
| insource_cost = get_insource_cost() | |
| st.write(f'Затраты Insource склад {insource_cost}') | |