engrrifatullah/AI_Powered_Manufacturing_Process_Optimization_Toolpp

1import streamlit as st2import numpy as np3 4# Optimization function5def optimize_process(resource_allocation, machine_efficiency, production_goal, time_frame, waste_tolerance):6    # Calculate current production capacity7    current_capacity = resource_allocation * machine_efficiency * time_frame8    machines_needed = np.ceil(production_goal / (machine_efficiency * time_frame))9    expected_output = min(current_capacity, production_goal)10    waste_output = (expected_output * waste_tolerance) / 10011    12    # Determine realistic efficiency improvement recommendation13    required_efficiency = production_goal / (resource_allocation * time_frame)14    realistic_efficiency = max(75, min(95, required_efficiency * 100))  # Efficiency capped between 75% and 95%15    efficiency_improvement_needed = max(0, realistic_efficiency - machine_efficiency * 100)16 17    return {18        'Machines Needed': machines_needed,19        'Expected Output': expected_output,20        'Waste Output': waste_output,21        'Efficiency Improvement Needed': efficiency_improvement_needed,22        'Recommendation Efficiency': realistic_efficiency,23        'Optimization Recommendation': f"Machines efficiency should ideally be at least {realistic_efficiency:.1f}% for optimal results based on industry standards."24    }25 26# Streamlit App Layout27st.set_page_config(page_title="Manufacturing Process Optimization", layout="wide")28st.title("🌟 Welcome to the AI-Powered Manufacturing Process Optimization Tool 🌟")29st.markdown("""30This tool helps you **optimize your manufacturing processes** by adjusting **resource allocation**, **machine efficiency**, and **production goals** to maximize **efficiency**, reduce **waste**, and improve **product quality**.31""")32 33# Sidebar for user input34with st.sidebar:35    st.header("🔧 Enter Manufacturing Parameters")36    resource_allocation = st.number_input("🔢 Number of machines available", min_value=1, max_value=100, value=10, step=1)37    machine_efficiency = st.slider("⚙️ Machine Efficiency (%)", min_value=50, max_value=95, value=80, step=1)  # Max efficiency capped at 95%38    production_goal = st.number_input("📈 Desired production goal (units)", min_value=1, max_value=1000, value=100, step=1)39    time_frame = st.number_input("⏳ Production time frame (hours)", min_value=1, max_value=24, value=8, step=1)40    waste_tolerance = st.slider("♻️ Maximum waste tolerance (%)", min_value=0, max_value=100, value=5)41 42# Main content43st.subheader("🔍 Optimization Results")44 45if st.button("🚀 Optimize Process"):46    # Get optimization results47    optimized_output = optimize_process(48        resource_allocation, 49        machine_efficiency / 100, 50        production_goal, 51        time_frame, 52        waste_tolerance53    )54    55    # Display the optimized configuration56    st.write(f"### 🛠️ Optimized Configuration:")57    st.write(f"**Machines Needed**: {int(optimized_output['Machines Needed'])}")58    st.write(f"**Expected Output**: {optimized_output['Expected Output']} units")59    st.write(f"**Expected Waste**: {optimized_output['Waste Output']:.2f} units")60    st.write(f"**Efficiency Improvement Needed**: {optimized_output['Efficiency Improvement Needed']:.2f}%")61    st.write(f"**Recommendation**: {optimized_output['Optimization Recommendation']}")62 63    # Generate Optimization Report64    st.subheader("📊 Optimization Report")65    efficiency_message = (66        "The current machine efficiency is adequate to meet your production goals. No further improvement is required."67        if optimized_output['Efficiency Improvement Needed'] == 068        else "The current machine efficiency may not be sufficient to meet your production goals. Improving machine efficiency could yield better results."69    )70    st.markdown(f"""71    ### Key Insights:72    - **Production Efficiency**: {efficiency_message}73    - **Waste Management**: The waste is currently within the acceptable tolerance, but reducing waste further will improve overall efficiency.74    - **Resource Allocation**: The number of machines available is adequate, but you could potentially increase the machine count to optimize the process.75    76    ### Suggestions for Improvement:77    1. **Improve Machine Efficiency**: A **{optimized_output['Efficiency Improvement Needed']:.2f}%** increase in machine efficiency will help meet the desired production standards.78    2. **Increase Machines**: Allocating more machines could help meet the production goal faster and reduce the time required.79    3. **Reduce Downtime**: Consider adjusting shift lengths or optimizing machine usage to reduce downtime and improve efficiency.80    81    ### Next Steps:82    - Aim to **improve machine efficiency to {optimized_output['Recommendation Efficiency']:.1f}%** for optimal results.83    - **Monitor waste** closely to reduce it further and ensure the production process remains efficient.84    - Review your **production goals** to ensure you are using the most efficient configuration of resources.85    """)86 87# Footer with contact information88st.markdown("""89---90For support or more information, feel free to contact us at **support@manufacturing-ai.com**.91""")92