Production Planning Demo

docs/knowledge_base/demos/production-planning.md

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+[Production planning](https://en.wikipedia.org/wiki/Production_planning) is a pivotal aspect of 
+manufacturing, ensuring that resources are allocated efficiently to meet demand while minimizing 
+costs. The Taipy's Production Planning demo offers a comprehensive solution for optimizing 
+production and cost management. In this demo, we'll delve into this application that addresses 
+the challenges of production planning.
+
+# Understanding Production Planning
+
+Production planning involves the strategic scheduling of resources, materials, and processes to 
+achieve production goals efficiently. It's a critical function in manufacturing, as it directly 
+impacts product quality, delivery times, and overall profitability.
+
+# Significance of Production Planning in Manufacturing
+
+In the realm of manufacturing, production planning is the backbone of operational success. It 
+ensures that the right products are produced in the right quantities at the right time while 
+keeping costs in check. Effective production planning leads to several key benefits:
+
+1. Optimal Resource Utilization: 
+    It helps allocate resources efficiently, preventing overproduction and shortages.
+
+2. Cost Reduction: 
+    Proper planning minimizes production costs, including inventory holding costs and overtime 
+    labor expenses.
+
+3. Meeting Customer Demand: 
+    It ensures that products are available when customers need them, enhancing customer 
+    satisfaction.
+
+4. Improved Quality: 
+    Production planning contributes to consistent product quality by minimizing rush orders and 
+    last-minute changes.
+
+Taipy's Production Planning application addresses these manufacturing challenges head-on, 
+providing a streamlined platform for optimizing production processes and costs.
+
+# The Production Planning Application
+
+Taipy's [Production Planning](https://production-planning.taipy.cloud/) demo is a 5-page 
+application designed to tackle the complexities of production planning. Let's explore each 
+page's functionality:
+
+1. Input Data Visualization: 
+    After registering and logging in, users are greeted with a main chart displaying the future 
+    demand for finished products (FPA and FPB) over the next 11 months. This page provides 
+   critical insights into upcoming production requirements.
+
+2. Scenario Manager: 
+    By clicking on the Scenario Manager icon, users access the heart of the application. Here, they 
+    can create scenarios, adjust parameters, and re-optimize production plans. The application 
+    swiftly calculates optimal production levels while considering capacity constraints and 
+    minimizing two essential costs: back orders and stock.
+
+3. Modifying Parameters: 
+    Users have the flexibility to modify parameters within three categories: capacity constraints 
+    (adjusting product capacities), objectives weights (emphasizing cost minimization), and 
+    initial parameters (fine-tuning initial conditions). These adjustments allow for scenario 
+    customization.
+
+4. Scenario Comparison: 
+    The balance icon leads to a page where users can compare two scenarios within the same month. 
+    This side-by-side comparison aids in evaluating the impact of different production plans.
+
+5. Visualizing Performance Over Time: 
+    By clicking the circle arrow icon, users can visualize the algorithm's performance over time. 
+    This feature provides a clear understanding of how optimized costs evolve throughout the 
+    production cycles.
+
+# Conclusion
+
+Taipy's Production Planning demo stands as a testament to the power of technology in addressing 
+complex manufacturing challenges. Whether you're visualizing data, managing scenarios, 
+fine-tuning parameters, or evaluating production performance, Taipy simplifies the process, 
+allowing businesses to make data-driven decisions for more efficient production planning.
+
+Explore the application, delve into production optimization, and experience firsthand how Taipy 
+streamlines production planning in the manufacturing sector.

mkdocs.yml_template

@@ -53,6 +53,7 @@ nav:
     - "Demos":
         - knowledge_base/demos/index.md
         - "Sentiment Analysis": knowledge_base/demos/sentiment_analysis.md
+        - "Production Planning": knowledge_base/demos/production-planning.md
     - "Tips and tricks":
         - knowledge_base/tips/index.md
   - "Manuals":