How Do You Define A Mature Supply Chain Planning Organization? (Part 1)

Article by Lora Cecere from Supply Chain Shaman; published on June 5th 2013

It was a sultry day in Philadelphia. Last week, it felt like August not May. I found myself counting the street signs to be sure that I was on track for my 8:00 a.m. client meeting.  Not being a morning person, my feet mechanically moved my body forward. I was not sure what the discussion was going to be, but I was hoping to be wide-awake by the time that I got to the corner of 18th Street to meet my client.

I have worked with this client since 2004. At that time, they planned on spreadsheets. Their goals were lofty, but their understanding of supply chain planning was hazy. In the last six years, their business has grown three-fold and become very global. In 2006, they made a decision to implement a supply chain planning solution. It was badly implemented by a system integrator. The cost was 60% more in than average; but even more unfortunate, they never got a good understanding of how to use the planning system.

The client’s question was a simple one. She asked, “What makes a mature planning organization?”  I pulled out a blank sheet paper and drew the maturity grid outlined in table 1. I would love your insights.  Is this how you would have answered the question? Did I miss anything?

Table 1: Characteristics of a Mature Planning Organization

  Low Level of Maturity High Level of Maturity Characteristics:
Demand Focus on “the number.” Bias and error are selectively measured and the organization is unclear on how to improve demand processes. Clear understanding that the focus needs to be on the probability of the forecast, and that the focus needs to be outside-in based on channel data. Use of Forecast-value Add techniques to improve the accuracy of the forecast. Mapping of demand streams by demand characteristics and frequent adjustment of the demand engines to improve optimization.
Tactical Supply Manufacturing is designed and planned in isolation. Focus is on a feasible plan. Recognition of constraints and the management of floating bottlenecks. Management and planning of the entire network against a value network strategy. Integration of corporate social responsibility metrics in planning. Comprehensive view of source, make and deliver. Recognition of asset strategies in go-to-market plans.
Supply Chain Design Ad hoc design planning often focused on a function of the supply chain. Most often the focus is on transportation or logistics, but does not take into consideration the trade-offs between make, source and deliver. Frequent and systemic supply chain design. Focus is on make, source and deliver together. Design is orchestrated as part of new product launch. Clear understanding of the number of supply chains and what drives value in each. Development of a supply chain design organization with a clear   understanding of what drives value in each supply chain.
Supply Chain Planning Data Planning data is determined at the time of implementation and is seldom validated and refined.  There is no one in the organization responsible for planning master data. Organization has a clear understanding of the importance of planning   data. A database is built to track planning master data by period and adjust as parameters change. Use of third-party data for transportation lane and drayage times by day/time of week. Integration with manufacturing systems to understand actual run   times and Operating Efficiency (OEE).
Local/Global Governance Little clarity.  Local and   global teams interact on an ad hoc basis. Clear governance of global planning and local decisions. Local and global teams understand and work together to give input   into plans.
Sales & Operations   Planning (S&OP) Focus is on matching demand and supply. There is a lack of clarity on what drives value and metrics are functional. Planning data is often debated and participation in S&OP decisions is often ad hoc. The process is not balanced between the “S” and the “OP.” Focus on maximizing opportunity and mitigating risk through well-defined playbooks. Clarity on the quarterback in the organization that calls the plays in the playbooks during the month. Organization is balanced between operations (OP) and sales/marketing   (S) in decision making. Monthly design of the supply chain including form and function of   inventory and inventory placement. Visualization of supply chain options in S&OP meetings to ensure alignment. Clear understanding of the supply chain as a complex system with   executive capability to manage the trade-offs versus using a common   understanding.
Inventory Focus on the level of inventory. Inventory is often focused on as a singular metric, not as part of a complex supply chain system. Focus on the form and function of inventory based on demand and supply variability and business plans. Definition of push/pull decoupling points and the role of   postponement to improve inventory as a supply chain buffer to improve agility. Concerted plans that focus on inventory management as one part of the supply chain as a complex system. Design of cash-to-cash cycles strategically through complexity analysis, sales and procurement policies.
Manufacturing Manufacturing programs are implemented as standalone programs. Factory scheduling is either nonexistent or not tied to supply chain processes. Manufacturing trade-offs are closely aligned to network design, tactical planning, and supplier development programs.

There is balance in S&OP between sales and manufacturing.
The most mature clients are moving to digital manufacturing based on the Internet of Things (i.e. direct motor sensing, programmable logic controller inputs).
Procurement Procurement programs are implemented as standalone processes. Clear understanding of supplier development goals and close integration into the corporate social development programs. Risk management strategies integrated in network design programs. Advancements in supplier sensing are enabling early detection of failure risk.
Metrics Functional metric orientation. Little insight on cross-functional   metrics alignment. Cross-functional metrics alignment. Clarity on which metrics matter by type of supply chain. Clear understanding of how metrics tie to value-based outcomes.


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