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The Essence of Integrated Supply Chain Network Planning

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Integrated planning ensures the alignment of demand and supply across all areas of the supply chain network — from supply sources to production and distribution of finished goods, guaranteeing efficient resource allocation, optimization of manufacturing processes, and meeting customer needs.

The goal of the integrated supply chain network planning process is

  • providing goods for actual demand;
  • ensuring the supply of raw materials and components (for manufacturing companies);
  • optimizing production plans and capacities;
  • optimizing inventory levels according to market dynamics;
  • optimizing goods supply processes.
Procurement
Procurement
Requirements & Procurement planning
Production
Production
Production planning
Distribution
Distribution
Distribution planning (Network planning)
Sales
Sales
Demand Planning
Material Flow
Information Flow

As a rule, planning in organizations is divided into several levels: long-term, medium-term, and short-term (operational) planning. The long-term planning level determines the company’s plans for a year or more. Medium-term planning is focused on overall sales goals, while operational planning is aimed at fulfilling daily tasks. The result of medium-term planning is a plan for a month or a quarter. The result of operational planning is the adaptation of the medium-term plan to the actual level of product shipments on a daily or weekly basis.

In addition, different planning scenarios can be supported depending on various parameters such as seasonality, Lead Time, supply method, promotions, etc. One of the most popular scenarios is What If.
The integration of planning processes is the foundation of supply chains, providing organization, including operational processes, and increasing efficiency and predictability in achieving the company’s set goals.

Integrated planning manages the blocks of the following business processes:
  • Demand Planning
  • Supply Planning

Demand planning is the ability to forecast future demand dynamics for products based on the following approaches:

Historical Data Analysis
Historical Data Analysis
Using historical sales data to identify trends and patterns in customer behavior and predict future demand.
Demand Planning Collaboration
Demand Planning Collaboration
Ensuring seamless online collaboration in real-time between sales, marketing, and supply chain teams for precise demand forecasting and plan alignment.
Statistical and ML Forecasting Methods
Statistical and ML Forecasting Methods
Applying modern statistical models and machine learning techniques to create accurate demand forecasts based on historical data and market factors.
Demand Signals Sensing
Demand Signals Sensing
Monitoring and responding to real demand signals, such as customer orders, changes in sales forecasts, pricing, promotional activities, and other market factors, to adjust forecasts and supply plans.
Supply planning ensures real-time data exchange and collaboration between all participants in the supply chain, enabling a transparent and efficient flow of information and facilitating coordinated decision-making across the organization.

The main components of production planning are Upstream, Production, and Downstream.

Upstream
Production
Downstream

Overview of the Planning Optimization Module Within Microsoft Dynamics 365 Supply Chain Management

The Planning Optimization module is designed to automate planning processes and enhance the efficiency of supply chain processes, ensuring interaction between finance, sales, operations, and supply networks.
Rapid changes, large volumes, and data diversity require automation of data collection, processing, and supply plan calculation.

Accuracy

plans must meet business needs, taking into account all factors and events.

Detailing

covering the lowest levels: product – counterparty – day.

Timeliness

up-to-date plans for all horizons: day, week, month, year.

Transparency

analytics of accuracy, factor impact, and identification of overlooked factors.

Efficiency

minimizing costs while ensuring the required quality level.

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Planning Optimization

is a technologically advanced module of Master Planning in the system that enables real-time supply chain planning functions.

Key features of the Planning Optimization module

  • MRP
  • DDMRP
  • DRP
  • Safety Stock Management
  • Production Planning
  • ATP
  • CTP
  • Intercompany planning
  • Integrations
MRP
Material
Requirements Planning
The MRP functionality ensures material resource planning. It is used to determine the material and component requirements based on demand forecasts, production plans, and inventory levels. Key features
  • Calculation of material requirements based on orders, both actual and forecasted demand.
  • Automatic creation of procurement and production orders..
  • Inventory optimization and ensuring timely material supply.
Purpose:
To ensure efficient inventory management, reduce procurement costs, and prevent material shortages.
DDMRP
Demand-Driven Material Requirements Planning
DDMRP is a flexible and modern material requirements planning methodology that adapts to demand and changes in real-time. Key features
  • Adaptation to real-time demand fluctuations
  • Use of buffers to determine inventory levels, enabling quick response to changes in demand.
  • Planning focuses on actual demand rather than just forecasts.
Purpose:
To improve customer service by better inventory management and reduce order fulfillment time.
DRP
Distribution
Requirements Planning
DRP is used for planning product requirements across various steps in the distribution network, from warehouses to end points of sale.
Key features
  • Supply planning between different warehouses and distribution centers
  • Calculation of product requirements to ensure even distribution of inventory.
  • Consideration of seasonal fluctuations and other demand factors for different points of sale.
Purpose:
To reduce supply delays and optimize inventory levels in the distribution network.
Safety
Stock Management
The Safety Stock Management functionality is used to manage safety stock and allows creating strategies to maintain necessary inventory levels to reduce the risk of stockouts. Key features
  • Calculation of optimal safety stock levels for each product.
  • Automatic replenishment of safety stock based on demand fluctuations and lead time.
  • Use of safety stock to prevent supply disruptions.
Purpose:
To improve customer service levels and reduce the risk of stockouts.
Production Planning
The Production Planning functionality helps optimize manufacturing processes and ensures that products are produced in the required quantity and on time. Key features
  • Calculation of material and capacity requirements (Scheduling Planning) for production orders.
  • Planning of production orders considering capacity and resource constraints.
  • Synchronization of production plans with supply and demand plans.
Purpose: To improve production efficiency, reduce downtime, and minimize costs.
ATP
Available-to-Promise
The ATP functionality determines the date when a product can be shipped to the customer based on available stock and confirmed receipts. Key features
  • Analysis of available inventory in warehouses.
  • Consideration of expected receipts from confirmed orders.
  • Updating product availability.
Purpose:
To determine shipment dates based on available stock and expected receipts.
CTP
Capable-to-Promise
The CTP functionality calculates the delivery date, considering production capacities, supplier lead time, and logistical constraints. Key features
  • Consideration of raw material delivery time from suppliers.
  • Consideration of production capacities for manufacturing the product.
  • Optimization of the order execution schedule.
Purpose:
To determine shipment dates considering inventory availability and factoring in production and logistical constraints.
Intercompany planning
Intercompany Planning allows centralized management of the supply chain within a group of companies, ensuring transparency and coordination of processes. Key features
  • Global planning to determine requirements.
  • Automatic order reconciliation.
  • Optimization of production and procurement planning.
  • Automation of document exchange between companies.
Purpose:
To optimize planning between companies within the group, ensuring synchronization of orders, inventory, and supply between interconnected legal entities.
Integrations Sourcing
Integrations help organize the interaction between modules within the system and with external systems as part of the process architecture. Key features
  • Seamless integration with operational modules in D365FO.
  • Ability to build integrations with external systems of various classes (APS, MES, TMS, WMS, etc.) using tools like Data Management Framework (DMF), OData and API, Azure Logic Apps, and Power Automate.
Purpose:
To facilitate data exchange within processes both inside the system and with external systems.

Planning Optimization Implementation Scenarios

1 Finance
01 Scenario

Enhancement of D365FO

Enhancing the existing ERP system Microsoft Dynamics 365 Finance and Operations Applications (Dynamics 365 Finance, Dynamics 365 Supply Chain Management, Dynamics 365 Human Resources, Dynamics 365 Commerce) with the Planning Optimization functionality.

2 Finance
02 Scenario

Migration to D365FO

Migrating from an old version of the ERP system to Microsoft Dynamics 365 Finance and Operations Applications by initially implementing the Planning Optimization module.

3 Finance
03 Scenario

Strengthening the Existing IT Ecosystem

Expanding the capabilities of the existing IT ecosystem with the functionality of the Planning Optimization module, considering its easy implementation and seamless integration with the existing IT environment.

Impact on Operational Metrics Due to Automation of Supply Chain Planning Processes in the Planning Optimization Module

Inventory Levels

KPI: Average inventory level, days of inventory, inventory turnover ratio
Impact: Optimized inventory levels to reduce excess stock and ensure timely replenishment of inventory

Storage Costs

KPI: Total storage costs, cost per unit of stored goods
Impact: Reduced storage costs by optimizing inventory levels

Production Cycle Duration

KPI: Average time from order receipt to production completion
Impact: Reduced production time through improved planning

Adherence to Production Plan

KPI: Percentage of the production plan completed, number of deviations from the plan
Impact: Improved accuracy of production plan execution

Order Fulfillment Time

KPI: Average order fulfillment time, percentage of on-time orders
Impact: Reduced order fulfillment time due to more efficient planning

Labor Productivity

KPI: Output per unit of labor, workforce efficiency
Impact: Increased labor productivity through optimized planning

Customer Satisfaction

KPI: Customer satisfaction level, number of complaints
Impact: Improved customer satisfaction due to more accurate order fulfillment and timely delivery

Service Level

KPI: Percentage of orders fulfilled completely and on time
Impact: Improved service levels due to better planning and management of the supply chain

Features of the Planning Optimization Module for Enhancing Financial Planning and Control in Your Organization

Speed and Performance

By leveraging cloud technologies, Planning Optimization substantially reduces the time required for complex planning calculations, especially when compared to traditional on-premises solutions.

Scalability​

The module can effectively process large volumes of data and scale according to business needs, ensuring stable performance even with a significant increase in transaction volumes.

Near Real-Time Data Updates

Planning Optimization allows for receiving updated data for decision-making almost in real-time, ensuring the relevance and accuracy of planning and a quick response to changes in demand or supply.

Flexible Planning Scenarios

The system supports various planning scenarios, including make-to order production, mass production, inventory planning, and more. This allows businesses to customize their planning processes according to their specific tasks.

Integration with Other Modules

Planning Optimization easily integrates with other modules such as Warehouse, Production, Finance, Sales, Procurement, and others, creating a unified environment for managing all business processes.

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