List: Linear Programming | Curated by Samir Saci | Medium

Sep 17, 2022

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Linear Programming

Samir Saci
in
Towards Data Science

Optimize Workforce Planning using Linear Programming with Python

What is the minimum number of temporary workers you need to hire to absorb your weekly workload while ensuring employees retention?

Apr 6, 2021

A diagram showing different aspects of the workforce planning problem, including time constraints, tasks planning, schedule constraints, workload forecasting, and workforce planning. The diagram outlines how these factors interact to optimize workforce management with Python.

Apr 6, 2021

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Samir Saci
in
Towards Data Science

Maximize your Business Profitability with Python

Use linear programming to help your local bakery to improve its business profitability by selecting the right items to sell

Apr 30, 2021

A graphic showing how to maximize bakery profitability by selecting the right items to sell. Three bakery items are listed: Cake (profit: 6€, preparation: 95 min), Croissant (profit: 0.9€, preparation: 55 min), and Sandwich (profit: 4.4€, preparation: 12 min). The graphic highlights the differences in profit margins and preparation times, helping business owners prioritize higher-margin, less time-intensive products to improve overall business profitability with Python.

Apr 30, 2021

Samir Saci
in
Towards Data Science

Optimize E-Commerce Last-Mile Delivery with Python

Organize your routes to deliver parcels with a minimum number of drivers using optimization models with python

May 7, 2021

A diagram illustrating the last-mile delivery process for e-commerce optimization using Python. A truck is shown delivering parcels to a warehouse, from which a delivery person on a scooter distributes packages to multiple locations. Dotted lines connect the scooter to several drop-off points marked with question marks, representing unknown delivery destinations. The graphic emphasizes the process of organizing delivery routes to minimize the number of drivers needed for parcel delivery.

May 7, 2021

Samir Saci
in
Towards Data Science

Supply Chain Optimization with Python

Find the optimal locations of your manufacturing facilities to meet your customers’ demand and reduce production costs

May 13, 2021

Supply Chain Network Optimization with Python: Find the optimal locations of your manufacturing facilities to meet the demand and reduce production costs. A world map highlights the locations of factories and stores connected by shipping routes. The image depicts an optimization scenario with dashed lines representing transportation paths between stores and factories.

May 13, 2021

Samir Saci
in
Towards Data Science

Raw Materials Optimization for Food Manufacturing with Python

Use linear programming to create an optimal recipe for a cheap meal bar that meets nutritional requirements

May 27, 2021

This image visualizes the process of raw materials optimization for creating a meal bar recipe using Python. Different ingredients — wheat, chicken, beef, and corn — flow into two recipe formulations. Recipe 1, in orange, results in a bar costing 125 units, providing 20g protein and 15g fat. Recipe 2, in blue, creates a bar costing 55 units with 12g protein and 24g fat. The optimization uses linear programming to balance costs and nutrition, creating an ideal recipe.

May 27, 2021

Samir Saci
in
Towards Data Science

Supply Planning using Linear Programming with Python

Where do you need to allocate your stock to meet customers demand and reduce your transportation costs?

Aug 17, 2021

Supply Planning Problem with Python diagram showing the cheapest route to deliver products from plants to customers. Two plants (Plant 1 and Plant 2) send products to two distribution centers (D1 and D2), which then deliver to four stores (Store 1, Store 2, Store 3, and Store 4). Solid and dashed lines represent different routes between plants, distribution centers, and stores, emphasizing the need to choose the lowest-cost transportation paths for supply planning.

Aug 17, 2021

Samir Saci
in
Towards Data Science

Procurement Process Optimization with Python

Optimize your procurement process with Python and non-linear programming to minimize costs and streamline operations.

Sep 7, 2021

Illustration of procurement strategy problem for store replenishment with Python. The process starts with an alert sent from the store’s reserve to the ERP system (step 1). The ERP sends a purchase order to the supplier (step 2). The supplier ships the order (step 3), and the goods are transported to the store’s reserve for replenishment (step 4). The image depicts key stages of inventory management and order fulfillment, emphasizing cost optimization across transportation and inventory

Sep 7, 2021

Samir Saci
in
Towards Data Science

Automate Budget Planning Using Linear Programming

Select the projects that maximize the return on investment and follow the management guidelines while respecting budget constraints.

Jan 7, 2022

Budget planning problem for selecting projects with maximum ROI using linear programming with Python, showing cost and ROI comparison for Electric Trucks, Voice Picking, and Space Rental projects over 3 years. The image highlights financial projections, CO2 emissions, productivity improvements, and business opportunities.

Jan 7, 2022

Samir Saci
in
Towards Data Science

Robust Supply Chain Network with Monte Carlo Simulation

Learn how Monte Carlo simulation can help design a robust supply chain network considering demand fluctuations.

Feb 12, 2022

Supply Chain Networks with Monte Carlo Simulation using Python. Learn how Monte Carlo simulation can help design a robust supply chain network considering demand fluctuations. Supply chain optimization uses data analytics to find the optimal combination of factories and distribution centers to meet customer demand. The challenge is maintaining robustness amid fluctuating demand.

Feb 12, 2022

Samir Saci
in
Towards Data Science

Supply Chain Process Optimization using Linear Programming

Understand how linear programming can be the most powerful tool for a supply chain continuous improvement engineer

Jul 22, 2022

A visual representation of supply chain process optimization, featuring two red forklifts unloading a large red shipping container marked ‘TEX’ on a warehouse floor. The title reads ‘Supply Chain Process Optimization,’ with a subtitle describing how linear programming can be a powerful tool for a supply chain continuous improvement engineer. The image emphasizes the importance of optimizing warehouse and logistics operations in the supply chain.

Jul 22, 2022

Samir Saci
in
Towards Data Science

Logistic Performance Management Using Data Analytics

Implement operational indicators to monitor and improve the performance of international distribution networks

Jul 27, 2022

A comparison timeline showing both the actual and target timelines for logistic performance. The “Actual Timeline” is at the top, with white dots marking key events like picking, packing, shipping, and delivery. Below, the “Target Timeline” aligns these events with the expected timeline. This chart visually contrasts actual performance against target performance, highlighting gaps between expected and real operational timings.

Jul 27, 2022

Samir Saci

Samir Saci

Top Supply Chain Analytics Writer — Follow my journey using Data Science for Supply Chain Sustainability 🌳 and Productivity ⌛ https://samirsaci.com/about

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