The Logistics Network and the Role of the Distribution Center

In the world of supply chain, the logistics network represents the integrated set of infrastructure, logistics resources, processes, and digital technologies that enable efficient and responsive distribution logistics, from the producer to the final consumer. A well-organized system includes several key elements, including logistics hubs, logistics warehouses, and distribution centers, each with specific functions that contribute to ensuring fast delivery times and optimized costs.

In this article, we will analyze the functioning of the logistics network with a particular focus on the distribution center, the beating heart of modern distribution.

How to Design a Logistics Network: Structure, Nodes, and Enabling Technologies

The logistics network is a complex web of interconnected infrastructure working in synergy to ensure the optimal management of material flows. We can identify some macro-types of logistics nodes within a network:

• Logistics hubs: large platforms that serve as sorting hubs for goods destined for multiple regions.
• Logistics warehouses: facilities dedicated to storage, inventory management, and operational support.
• Distribution centers: operational units that handle the receipt, preparation, and shipment of orders to final customers.

The efficiency and optimization of a logistics network depend on strategic distribution design and the adoption of digital technologies, such as: ERP systems, WMS, demand planning tools, and collaborative platforms for real-time monitoring.

The Logistics Node: The Heart of the Supply Chain

Each element of the logistics network must be designed to manage the main operational phases of the supply chain in an integrated manner. Its functions are divided into:

1. Receipt and sorting of goods: goods moving from various suppliers or production plants arrive at the distribution center where they are registered, checked, and sorted. This phase is essential to ensure product traceability and quality, avoiding errors and inefficiencies in subsequent distribution. Fundamental aspects of the process include the importance of having dedicated areas to distinguish incoming material, inspected material, and material ready for storage, as well as the importance of tracking through IT systems such as ERP or dedicated software. Not having dedicated areas for each phase of the process can lead operators, or the system in general, to make errors that would slow down the material flow. A very common practice in warehouses is scanning items with barcodes to ensure material traceability and always have information related to a specific code at hand (entry date, warehouse location, production lot…).

2. Storage and inventory management: within the distribution center, goods are organized according to rotation criteria (such as: FIFO – First In, First Out; LIFO – Last In, First Out; FEFO – First Expired, First Out) and category. Automation and warehouse management software (WMS – Warehouse Management System) are fundamental tools that help monitor stock in real time, optimizing space and reducing the risk of overstock, stock-outs, and inefficiencies in distribution logistics. More general logic, such as the analysis of rotation indices, allows for the optimization of goods placement, for example, by placing high-rotation products in the most accessible locations to improve efficiency.

3. Order preparation and picking: one of the crucial phases of the logistics process is picking, which is the selection and retrieval of items needed to compose an order. This step directly affects the quality of service perceived by the final customer. The main objective is to maximize picking accuracy (reducing errors) and at the same time minimize order lead times. To do this, increasingly advanced technologies and methodologies are employed, including:

• RFID systems and barcodes: precisely track every item moved, speeding up picking confirmation and reducing the chance of error.
• Voice picking: allows operators to receive voice instructions via headsets, leaving their hands free to operate and improving work ergonomics.
• Collaborative robotics: robots assist the operator in transporting or delivering the picked goods, reducing downtime and unnecessary paths.

From a methodological point of view, picking logic varies depending on the warehouse layout, product type, and order volume. The main strategies include:

• Discrete picking (per order): each order is prepared individually, ideal for complex or high-value orders.
• Batch picking: multiple orders are picked simultaneously and then subdivided later, optimizing paths and reducing picking times.
• Zone picking: divides the warehouse into areas assigned to specific operators, useful for large facilities or high-rotation products.

The effectiveness of this phase depends heavily on the organization of spaces and paths, the arrangement of products, and the integration of warehouse IT systems, which orchestrate timing, priorities, and resources. A good picking strategy allows for increased productivity, reduced returns due to errors, and an improved final customer experience.

4. Shipping and distribution: after packaging and labeling, products are sorted for shipment.
Depending on the destination, a logistics node organizes shipments to optimize delivery times and reduce transport costs. Transport modes can vary, including options such as full truckload or milk-run, to optimize routes and loads. The main objective is to ensure that products reach their destination within the expected time and cost.

All these activities are supported by control and performance systems (KPIs) to ensure process efficiency and visibility. The goal is to minimize time and costs, ensuring a reliable and effective logistics service.

How to Optimize a Logistics Network: Costs, Scenarios, and Performance Indicators

Optimizing a logistics network requires a structured methodology of analysis, design, and evaluation of distribution scenarios. Four phases can be identified:

Phase 1: Define the cost structure
The first step is the detailed mapping of the cost items that make up the logistics network. The main categories include:

• Transport: inbound and outbound transport costs.
• Internal handling: activities carried out within warehouses and distribution centers, such as receiving, storage, picking, and order preparation.
• External handling: outsourced services such as, for example, outsourcing picking or packaging activities, often managed by logistics operators.
• Shuttling: internal transfers between different logistics sites or production plants and distribution centers (shuttles, partial or dedicated loads).
• Infrastructure rent: lease payments, building operating costs, and fixed expenses related to the use of physical structures.

Phase 2: Identify cost drivers
For each item, it is essential to identify the main factors influencing expenditure, including:

• Transport: volumes moved, distances traveled, vehicle saturation, shipment frequency.
• Internal handling: product mix, level of automation, order complexity, hourly operator productivity.
• External handling: contract rates, supplier flexibility, required service levels.
• Shuttling: number of trips, mileage, average capacity used, synchronization with production or distribution processes.
• Infrastructure rent: surface area used, geographic location, contract duration, ancillary energy costs.

Phase 3: Outline scenario hypotheses
Different scenarios are developed to configure the logistics network under study. The parameters that must be defined to outline a scenario are:

• Number of logistics nodes: how many warehouses and hubs to have along the network; one can hypothesize having many geographically distributed hubs or a few logistics nodes where multiple activities and volumes are consolidated.
• Positioning: once the number of logistics nodes is defined, their geographic positioning is hypothesized, which can be close to supply points, close to markets/points of use, or in centralized positions.

Phase 4: Comparison between scenarios
Each scenario is evaluated based on a series of key parameters:

• Overall costs
• Lead time and network responsiveness
• Operational flexibility
• Overall environmental impact

Comparative analysis allows for guiding the strategic choice based on corporate objectives and available resources.

The Importance of a Well-Designed Logistics Network

In an increasingly unstable, fast, and connected world, the strategic design of a logistics network is no longer a simple operational activity, but a true strategic lever to increase the efficiency of the logistics chain as a whole. Companies that invest in a well-structured logistics network – flexible, sustainable, and supported by technology – are those that manage to respond better to crises, satisfy new customer expectations, and reduce costs and environmental impacts.

Ultimately, today, designing a logistics network means designing the company’s ability to compete in the future at sustainable costs. Makeitalia can support you in this: contact us!