协同供应计划CSP-悠桦林

CSP helps companies answer the following questions

When to supply what and in what quantities to meet demand?

When to supply what and in what quantities?
Which units are supplied by which?
Which demands cannot be met?

What are the constraints preventing demand from being fully met?

Production capacity: What is the capacity gap in each plant/shop? Which processes have capacity surpluses?
Materials: How much material needs to be kept on hand and what are the material gaps? Are alternative materials available?
Lead time: Which items have short lead times?

How much does it cost to meet demand?

When there is excess production capacity, should we produce more of certain products? Which products should we produce more of?
How can we ensure delivery when production capacity is insufficient? Which demands must be prioritized?
How to balance the indicators of delivery achievement, inventory level, capacity utilization, etc.?

CSP solves the following problems of companies

Sluggish supply chain response

Data required for planning is often scattered in different places

Information sharing between departments is difficult, making it difficult to reach a consensus on supply-demand balance

The supply chain's visibility is weak, making it difficult for decision-makers to quickly grasp the overall situation of demand, supply, and production capacity

Inefficient supply chain collaboration

The supply chain is complex

There are numerous upstream and downstream supply nodes

It is difficult to balance the demand and supply of each node

The demand can only be passed layer by layer from the finished product end to the raw material end

Difficult to calculate multiple objectives and constraints

Traditional methods are difficult to balance the requirements of multiple objectives and constraints, such as production capacity utilization, inventory level, service level, and cost, for the main planning

Decision-making based on perception

There may be conflicts in the indicators of supply chain planning

It's difficult to analyze the impact of each indicator on the main plan

It's difficult to try adjustments to the weights of different indicators

The value of CSP, Collaborative Supply Planning

Prepare production in advance to balance the demand and supply of each
Let the limited production capacity meet the most important customer demand!

Prepare materials in advance under controllable obsolescence risk
Shorten the delivery cycle and enhance market competitiveness!

Advance production under controllable cost
Flatten the production peak and valley, stabilize production, and reduce costs!

Strengthen supply chain collaboration
Align each node of the supply chain to act towards consistent goals!

CSP Function Introduction

A complete supply chain model

Construct a complete model that includes all nodes in the enterprise's supply chain, considering the supply capacity limitations of each node, to achieve supply-demand balance throughout the entire chain

Multi-objective
Multi-constraint optimization

Achieve global optimized master plan calculation considering multiple optimization objectives and constraints, such as demand, production capacity, and materials

Simulation and emulation

Able to simulate and output plans under different optimization objectives and strategies, use data-driven root cause analysis and what-if analysis to avoid subjective judgments

KPI-driven decision-making

Use real-time KPI for decision-making, avoid one-sidedness caused by subjective experience

Rapid response to changes

Monitor progress of master plan execution and any anomalies in demand, supply, and capacity. Promptly respond to anomalies and adjust master plan accordingly

End-to-end supply chain modeling

Achieve end-to-end collaboration through the supply chain process. Ensure that the flow of supply chain information related to demand, supply, inventory, production capacity, and planning is visible and integrated

Output of plan

Product and Key Component Supply Planning

Key Material Requirement Planning

Capacity Allocation Planning

Inventory Level Trend Forecast

Supply Capacity

Product and Key Component Supply Planning, Key Material Requirement Planning, planning to SKU or category
Quarterly, monthly, weekly and other time precision planning
Enterprise supply chain (cross-plant/shop) capacity check and allocation optimization
Collaboration of upstream and downstream planning for supply chain paths
Inventory level estimation and optimization
Visualization capabilities and multi-dimensional data analysis
Simulation analysis and human-machine interaction
Plan release and plan history tracking
Plan execution tracking and abnormal alerting

Main Advantages

Powerful and flexible modeling capabilities to cope with various complex supply chain environments
Optimized planning logic based on business objectives, integrated calculation of multiple planning factors for demand, material supply, capacity constraints, and inventory constraints
Exception management functions and root cause analysis
Improving demand fulfillment and on-time delivery rate
Improving inventory turnover and resource utilization
Reducing costs and increasing profitability

Main use-process of CSP