S&OP Planning Consultants

Typical Results

Administrative Cycle Time Reduction 60%
Inventory Reduction 40%
On-Time Delivery Attainment 95%

Many would say that in sports, in life, and in business, learning the rules, agreeing on the rules, and applying those rules most effectively are crucial advantages in achieving your objectives. This advice is particularly true as it relates to Supply Chain Planning. At ChainSequence, we teach your business the proven, best-practice rules of supply chain engineering science, as well as how to best leverage these principles when planning, re-aligning, or re-engineering your enterprise’s supply chain processes.

All supply chain planning processes comprise the same set of core components: Demand Management, Supply Management, Demand/Supply Alignment, and Order Management. First, our supply chain planning services are designed to give businesses a much better understanding of 1) how these interdependent elements can support each other and align together; and 2) what differentiates a best-in-class supply chain planning process from other, less systematic approaches. Next, we help your business develop and implement those governing rules that are considered best practices within each component. Finally, we integrate these practices across all four elements within the supply chain spectrum.

Before your teams can bring in software systems to provide decision support and speed up to a better process, ChainSequence helps your business build and provide potential software systems vendors a clear set of rules and direction to ensure that your corporate goals and financial objectives will be achieved. Once these rules are clearly defined, the ChainSequence team can also help your business consider the software systems and tools which offer the best ROI for your organization.

Ready to jumpstart your own S&OP program? Talk with us today to get on your way!

How ChainSequence Can help your organization:

Understand all of the demands on your supply chain

The supply chain planning process starts with a solid understanding of all demands that will be placed against supply chain resources. A forecast will never be 100% accurate, but understanding the characteristics and attributes of the demands will help to apply quantitative models to determine future demands and provide the flexibility needed to react to natural market demand and supply resource volatility.

  • Aggregated demand planning through customer/product hierarchies and historically-based mix ratios
  • Balance of quantitative statistical models and qualitative human judgment
  • Defined customer and product segmentation models
  • Proactively identified customer requirements
  • Potential impact of engineering and NPI demand

Visibility of all resources in your supply chain

An enterprise-wide view of mix-sensitive statements of both capacity and critical materials are necessary to ensuring the total statement of demand is reasonably constrained.

  • Bill of Routing models for all internal and external nodes across the supply chain network
  • Flexible capacity planning models
  • Material Requirements Planning
  • Inventory management policies defined

Rules based alignment of demand and supply

Clearly defined planning cycles that utilize a formal set of business rules to drive the alignment of demand to supply based on your organization’s business objectives and financial goals.

  • Appropriately defined build/procure-to-forecast/order models based on product characteristics
  • Application of business rules to enable a prioritized use of resources
  • Produce enterprise-level planned procure and build schedules across the entire supply chain network
  • Integration with your Sales and Operations Planning process
Supply Chain Order Management Consulting

Supply feasible, rules-based order scheduling

Utilization of the prioritized supply response from demand/supply alignment provides for first-time, reliable commit dates. This supports business objectives and financial goals, while improving customer satisfaction.

  • Prioritized Available to Promise (ATP)
  • Defined business rules for ATP consumption during order scheduling/re-scheduling
  • Early warning process
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