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a1c2775 91ef415 e4778c4 91ef415 e4778c4 91ef415 e4778c4 91ef415 1c115a9 91ef415 1c115a9 91ef415 a1c2775 91ef415 a1c2775 91ef415 a1c2775 91ef415 a1c2775 91ef415 a1c2775 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 | # app.py
import gradio as gr
import math
import pandas as pd
def production_planner(total_production, machines_available, daily_capacity_per_machine, target_days=None):
"""
Smart Production Planner:
- total_production: total units to produce
- machines_available: number of machines
- daily_capacity_per_machine: units a machine produces per shift
- target_days: optional, desired completion time
"""
if machines_available <= 0 or daily_capacity_per_machine <= 0 or total_production <= 0:
return "All input values must be greater than 0", "", "", "", pd.DataFrame()
capacity_per_day_one_shift = machines_available * daily_capacity_per_machine
if target_days:
shifts_per_day = math.ceil(total_production / (capacity_per_day_one_shift * target_days))
days_required = target_days
else:
days_required = math.ceil(total_production / capacity_per_day_one_shift)
shifts_per_day = 1
production_per_shift_per_machine = daily_capacity_per_machine
total_daily_capacity = capacity_per_day_one_shift * shifts_per_day
# Generate shift distribution table
production_remaining = total_production
schedule = []
for day in range(1, days_required + 1):
for shift in range(1, shifts_per_day + 1):
shift_production = min(production_remaining, machines_available * production_per_shift_per_machine)
schedule.append({
"Day": day,
"Shift": shift,
"Production This Shift": shift_production,
"Production per Machine": math.ceil(shift_production / machines_available)
})
production_remaining -= shift_production
if production_remaining <= 0:
break
if production_remaining <= 0:
break
schedule_df = pd.DataFrame(schedule)
return days_required, shifts_per_day, production_per_shift_per_machine, total_daily_capacity, schedule_df
# Gradio interface
demo = gr.Interface(
fn=production_planner,
inputs=[
gr.Number(label="Total Production Required"),
gr.Number(label="Number of Machines Available"),
gr.Number(label="Daily Capacity per Machine"),
gr.Number(label="Target Completion Days (optional)", value=None)
],
outputs=[
gr.Number(label="Estimated Days Required"),
gr.Number(label="Shifts Per Day Required"),
gr.Number(label="Production per Shift per Machine"),
gr.Number(label="Total Daily Production Capacity"),
gr.Dataframe(label="Shift Distribution Schedule")
],
title="Smart Production Planner",
description="Enter production requirements, machine info, and optional target days to calculate days, shifts, and a full production schedule."
)
demo.launch()
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