Service Level Driven Planning

5 Challenges

Inventory Executives are faced with the daunting task of maximizing service while keeping inventory investments at a minimum. In order to ensure that the return on your inventory asset is maximized, the planning process must be in concert with the business strategy, and the planning team must play the role of an arbiter to the rest of the organization by clearly communicating the tradeoffs the organization will have to make between service and inventory investment. Shortages, overstocks, and conflict over stocking levels are symptoms of a suboptimal or disconnected planning process. In Smart Software’s experience, this results from the following 5 root causes:

SmartForecasts approach results in accurate forecasts of inventory requirements in the cases of intermittent demand

Intermittent Demand

Highly variable & intermittent demands make consistently accurate projections all but impossible. Countless hours are spent trying to anticipate what will come next rather than calibrating the organization’s risk tolerance and harnessing that information to determine required levels of supply.

 

Smart Software proposes control over key drivers

Lack of Control Over Key Drivers

Safety stock levels, reorder points, lead times, and order quantity directly influence the service vs. cost relationship. Every day, the ERP system makes purchase order suggestions and manufacturing orders based on these drivers.  Ensuring that these inputs are understood and optimized will generate better returns on inventory assets.  Organizations that are able to do so will see improvements in service and reductions in inventory costs.  Unfortunately, the specific inventory policy being utilized is often unclear to many management teams.  In absence of a clearly defined and communicated policy,  planners are forced to develop their own unique approaches.  These self-developed approaches are most often a combination of simple rules of thumb and institutional knowledge. Inventory executives are simply ill equipped to shape inventory according to the changing needs and priorities of the business.  Inventory costs balloon and service performance suffers when unable to answer questions such as: “What is my current reorder point and reorder quantity policy, what level of service and inventory cost will this policy yield in the future, and how will performance and costs be influenced by specific changes to the policy.”

 

Smart Software helps to adjudicate conflicting priorities

Conflicting Priorities

The failure to establish common metrics makes it difficult to adjudicate conflicting priorities. For example, Finance may prefer to conserve cash, while Sales and Maintenance insist that they never stock out. The result is often a test of wills. An objective, quantifiable performance measure such as service level changes the discussion, putting a dollar valued on a negotiable level of service.

 

Smart Software wise inventory management approach allows to avoid see-saw planning

See-Saw Planning

Thousands of parts potentially stocked at dozens of locations means planners don’t have the bandwidth to proactively review inventory drivers. This results in outdated reorder levels and order quantities further leading to large stockouts and inventory write offs. This often leads to a pain avoidance response. For example, order quantities will often go up immediately following a stockout to ensure the outage never recurs. This tends to be a one-way ratchet until inventory carrying costs become an obvious drain of much needed cash.

 

Balancing your inventory will help you to avoid disempowerment of your team

Disempowered Team

When inventory is out of balance, finger pointing often results. Operations is often stuck in the middle between sales and finance. Without a clear direction from the executive team on service goals, inventory budgets, and an insistence that sales and finance come to the table knowing that tradeoffs will have to be made, the planning team becomes disempowered and the cycle continues.

 

Introducing Service Level Driven Planning

Smart Software has developed a methodical approach to address these pain points. “Service Level Driven Planning” (SLDP for short), powered by SmartForecasts, extends beyond demand planning to deliver inventory policy decision support and the means to make it so. Its impact unfolds in four steps:

Step 1. Agree on a common inventory performance lens. All participants in the inventory planning and investment process must hold a common understanding of service level and how it relates to your operations. SmartForecasts provides Service Level (percentage of the time you are able to completely satisfy an order without stocking out) and Fill Rate (percentage of the orders filled from stock) reporting so that you assess your inventory through the lens that best meets your businesses needs.

Step 2. Benchmark current service level performance. SmartForecasts will “stress test” your current inventory stocking policy by simulating future demand and measuring performance against proposed stocking policies. Service levels, fill rates, costs, and other metrics will be reported. We do this for each of thousands of items and for the organization as a whole, helping establishing where you are overstocked and understocked.

Step 3. Collaborate and Assess – Service Level vs. Cost trade-off. Engage feedback from stakeholders. Where is stockout risk not acceptable? Where it is acceptable and to what degree? What is the inventory budget? Identify constraints, agree on service targets, and conduct optimized “what if” assessments to assess feasibility and develop organizational consensus on the plan.

Step 4. Make it so.   Empower the planning team with the knowledge and tools it needs to ensure that the agreed upon service vs. cost plan is adhered to and your ordering process receives the resulting optimized inputs (forecasts, reorder points, safety stocks, order quantities). Track results and utilize underlying tools to identify and address exceptions.

 

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