List: Supply Chain Optimization | Curated by Samir Saci | Medium

Jan 11, 2025

18 stories

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Supply Chain Optimization

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Samir Saci

Sustainable Business Strategy with Data Analytics

Use data analytics to help companies design and implement strategic sustainability roadmaps to reduce their environmental footprint.

Jan 10

Sustainable Business Strategy with Data Analytics

Jan 10

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Samir Saci

What is a Supply Chain Control Tower?

Use Python to optimize your supply chain network with an automated control tower to track your shipments and avoid late deliveries.

Sep 21, 2022

A flowchart illustrating a supply chain control tower system. The chart shows three systems: Freight Forward, Warehouse Management, and Distribution Planning, all feeding data into SQL queries for data processing. The processed data is used for three separate analyses (Analysis 1, 2, and 3), each resulting in a report (Report 1, 2, and 3) sent via email.

Sep 21, 2022

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Samir Saci

Data Science for Value Chain Management

How Can You Leverage Data Science to Optimize Operations and Boost Profitability?

May 15, 2024

Flowchart showing the different steps of a supply chain, from sourcing raw materials, manufacturing products, to distributing the final goods to stores. The image uses icons to represent each phase: a cotton plant for sourcing, a factory for manufacturing, a dress for the product, and a warehouse and store for distribution.

May 15, 2024

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Samir Saci

Business Planning with Python — Inventory and Cash Flow Management

Business planning of small businesses to manage inventory, predict liquidity needs and maximize profitability with data.

Jun 5, 2024

Illustration showing the relationship between inventory, working capital, and payment collection in cash flow management. The image depicts inventory in a warehouse connected to working capital, which is then linked to the collection of customer payments. It highlights the flow of money and goods, essential for managing inventory and liquidity in small businesses.

Jun 5, 2024

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Samir Saci

What is Business Intelligence?

Discover the Tools for Data-Driven Decision Making Applied to Supply Chain Optimization.

Aug 4, 2023

A large central icon of a data warehouse is placed in the center, representing a storage system. It is connected to various systems on the left, including ERP, Warehouse System, and Transportation System, which flow data into the warehouse. On the right, analysis processes and visualized reports (a pie chart and icons for harmonization and data insights) represent how data is processed and transformed into actionable intelligence. This main component of business intelligence for supply chain.

Aug 4, 2023

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Samir Saci

Create a Sustainable Supply Chain Optimization Web App

Help your organization combine sustainable sourcing and supply chain optimization to curb both costs and environmental impacts.

Jun 15, 2023

A visual flowchart representing a sustainable supply chain optimization process. On the left, “Import Data” shows three factories labeled Factory 1, 2, and 3. The middle section, “Select Objective,” highlights options to minimize waste, cost, or CO2 emissions. On the right, “Visualize Results” displays a map and a pie chart to illustrate the optimal solution. This emphasizes balancing sustainability and cost-efficiency.

Jun 15, 2023

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Samir Saci

What is Process Mining?

Implement Process Mining with Python to use transactional data from systems to monitor supply chain processes and reduce inefficiencies.

Jan 4, 2023

A diagram illustrating process mining in a supply chain context. The left side shows different systems involved in the process, including the Warehouse Management System, Transportation Management System, and Enterprise Resource Planning (ERP). The right side depicts the steps in an order’s lifecycle: Order Creation, Order Transmission, Order Picking, and Order Shipping, with timestamps for each activity. The diagram emphasizes the use of data analytics to monitor and improve workflows.

Jan 4, 2023

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Samir Saci

What is a Supply Chain Digital Twin?

Discover digital twins with python: model supply chain networks, enhance decision-making & optimize operations.

Dec 15, 2022

Illustration of a supply chain digital twin concept, showing a factory, warehouse, and store, with Python logos indicating the use of Python scripts (factory.py, warehouse.py, store.py) to represent and simulate different parts of the supply chain process.

Dec 15, 2022

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Samir Saci

What is Supply Chain Analytics?

Use supply chain analytics with Python to improve operational efficiency with data-driven diagnostics and decisions at strategic levels.

Sep 28, 2022

A diagram showing four types of supply chain analytics: Descriptive (“Which events happened?” — sales jumped by +20%), Diagnostic (“Why did these events happen?” — national holidays pushed sales), Predictive (“What can happen?” — sales will increase by +10% next week), and Prescriptive (“What should we do?” — replenish the store tomorrow).

Sep 28, 2022

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Samir Saci

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

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Samir Saci

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

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Samir Saci

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

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Samir Saci

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

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Samir Saci

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

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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

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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

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What is Supply Chain Resilience?

Learn how to improve supply chain resilience using Python. Understand lead time variability and its impact on inventory management…

Aug 3, 2022

What is Supply Chain Resilience?

Aug 3, 2022

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Samir Saci

Optimize Production Planning with Python

Implement the Wagner-Whitin algorithm with python for production planning to minimize the total cost of production

Sep 13, 2022

A process flow diagram showing the relationship between the customer, purchase order, factory, delivery quantity, delivery date, production quantity, and inventory on hand for production planning with Python. The flow starts with the customer placing a purchase order, which goes to the factory. The factory then manages production quantity and inventory, while also coordinating delivery quantity and delivery dates.

Sep 13, 2022