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(): The_cost_of_warehouse_maintenance_services = The_cost_of_warehouse_maintenance_services 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 The_cost_of_warehouse_information_support = The_cost_of_warehouse_information_support 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}')