Saving Billions? How Far the ‘Center for Innovation in Logistics Systems’ Might Take the US Army

The Smart Forecaster

Pursuing best practices in demand planning,

forecasting and inventory optimization

Contributed to The Smart Forecaster by Dr. Greg Parlier (Colonel, U.S. Army, retired). Details on Dr. Parlier’s background conclude the post.

For over two decades, the General Accounting Office (GAO) has indicated that the Defense Department’s logistics management has been ineffective and wasteful, and that the Services lack strategic plans to improve overall inventory management and supply chain performance.

For the US Army, this problem is directly related to a persistent inability to link inventory investment levels and policies with supply chain effectiveness to achieve combat equipment readiness objectives required for globally deployed forces. This shortcoming has been attributed to numerous complexities associated with managing geographically dispersed, independently operating organizations, further compounded by a lack of visibility, authority and accountability across this vast global enterprise.

Unlike the corporate world, where powerful forces encourage innovation to drive competitiveness and efficiency, the Army is not a revenue generating organization focused on “quarterly earnings” and profitability. Certainly, the Army wants to be an efficient consumer of resources—but unlike the private sector’s focus on profit as a bottom line, the surrogate motivator for the Army is ‘force readiness’. This includes equipment availability and weapon system readiness for current operations in Afghanistan, as well as future capability requirements directed by the National Command Authority.

To sustain that equipment availability, the Army must synchronize disparate organizational components using myriad processes with disconnected legacy management information systems across numerous supply support activities which frequently relocate to support deploying forces.

Today, while still engaged in Afghanistan, the Army is also committed to a comprehensive and ongoing transformation. Central to this effort is recognition that dramatic improvements must be achieved in logistics operations and supply chain management. Owning one of the world’s largest and most complex supply chains, the Army is now investing in historically unprecedented efforts to fully capitalize on the promises offered by new information-based technologies. For example, the “Single Army Logistics Enterprise” is believed to be the most ambitious and expensive Enterprise Resource Planning (ERP) implementation project ever undertaken.

These ERP implementation projects have met with very mixed results. While the evidence suggests that dramatic performance improvements for competitive advantage can be achieved in the commercial sector, this has occurred only where so called “IT solutions” are applied to an underlying foundation of mature, efficient and appropriate business processes.

The reality of most cases in recent years, however, has not been this success. Rather, attempts have been made to “bolt on” a solution (like an ERP system, for example) to existing business processes, in misguided efforts to replicate legacy management practices. Such efforts to automate existing processes have, all too often, simply created chaos. In fact, these attempts have not only failed to achieve anticipated improvements, but have actually resulted in reduced performance.

The general pattern has been: the greater the IT investment and organizational scope, the more likely “failure” occurs, in the form of cost overruns, missed schedules, and even project failure—where the effort has finally been abandoned.

We believe the way to enable a coordinated, comprehensive approach for logistics transformation is by creating an “engine for innovation” to accelerate and sustain continuous performance improvement for Army logistics and supply chain management. We are developing a ‘Center for Innovation in Logistics Systems’ to systematically evaluate major organizational components, conduct root cause analyses, diagnose structural disorders and prescribe integrated solutions. We have now identified several ‘catalysts for innovation’ to reduce supply side variability and demand uncertainty—the proximate causes of the notorious ‘bull whip effect’. These include what we refer to as the ‘readiness equation’, ‘mission-based forecasting’, ‘readiness-based sparing’ and ‘readiness responsive retrograde’.

Our goal is to develop a comprehensive modeling capacity to generate and test these innovation catalysts along with several other initiatives in order to estimate cost effective approaches before they are adopted as policy and implemented in practice. We are looking at performance analysis, organizational design, management information and decision support concepts, enterprise systems engineering and workforce considerations including human capital investment needs.

Examining the ‘catalysts’ in isolation, we have seen significant potential for improvement which could yield hundreds of millions of dollars in savings. When combined into new, integrated management practices, however, the potential magnitude for improvement is truly dramatic—billions of dollars in further savings are likely. More importantly, it becomes possible to relate investment levels to current readiness and future capabilities.

The center is capable of developing ‘management innovation as a strategic technology’ by integrating advanced analytics with transformational strategic planning. By harnessing, focusing and applying the power of analysis, we are promoting both qualitative and quantitative common sense—the compelling analytical arguments for necessary change to pursue a common vision. With this power, we are beginning to educate the Army’s leadership, motivate logistics managers to action and provide a source for innovation the culture can embrace. During our journey, we have certainly adapted and applied much from both academic domains and the corporate sector. They, in turn, might now benefit from what we have been able to learn and achieve as well.

Prior to his retirement, Colonel Parlier was the Army’s senior, most experienced operations research analyst and served as Army Aviation and Missile Command’s (AMCOM) Deputy Commander for Transformation. He is the author of Transforming U.S. Army Supply Chains: Strategies for Management Innovation, describing the analytical framework of a multi-year Army Materiel Command (AMC) research and development project providing operations research insights for use by the Army and Department of Defense.

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      Smart Software Awarded National Science Foundation Innovation Research Grant
      New research to improve service and spare parts planning for the multi-billion dollar aerospace, automotive, high tech, and utilities markets Belmont, Mass., November 28, 2012 – Smart Software, Inc., provider of industry-leading demand forecasting, planning, and inventory optimization solutions, today announced that it has been awarded a Phase I Small Business Innovation Research (SBIR) grant from the National Science Foundation (NSF).  Smart Software will investigate new statistical methods to forecast intermittent demand, with the ultimate objective of helping enterprises worldwide reduce inventories by tens of billions of dollars. The new research will build upon Smart Software’s patented solution for forecasting slow-moving or intermittent demand, developed with the support of a previous NSF grant.  The current method, commercialized as part of the company’s flagship product, SmartForecasts®, evaluates historical demand for each item and establishes the optimum level of inventory that will be required to achieve service level objectives.  The new research seeks to extend demand forecasting beyond individual products and parts, identifying and interpreting interactions across clusters of items whose demands fluctuate together. The new forecasting capabilities will benefit customers in several significant ways:
      • A more dynamic statistical model of parts will enable forecasts to better reflect a variety of external factors that include part usage by itself or in combination with other products, as well as the impact of macroeconomic and environmental factors.
      • Research results will provide planners with a dynamic model of item usage, enabling planners to develop functional maps of the interrelationships of large numbers of parts. Knowing which parts have demands that co-vary can be useful in at least two ways. First, item managers can be assigned to work with coherent clusters rather than arbitrary collections of miscellaneous parts, and second, parts can be co-located in warehouses for more efficient storage and retrieval.
      • Another benefit from this new approach will be improved forecasts of “aggregates” where intermittent demand is present, such as all items in a product line, or all items at a particular warehouse. Better forecasts of aggregate demand across groups of parts will also be useful for raw materials purchasing, as well as for financial planning when parts are a source of revenue.
      According to Nelson Hartunian, president of Smart Software, “Any organization that builds or supports capital equipment experiences intermittent demand for some portion of its inventory. This grant is a terrific opportunity to impact one of the biggest forecasting challenges facing these organizations – accurately forecasting parts and optimizing inventories. Ultimately, the goal is to have the right part at the right place at the right time. The research we are undertaking will make this goal more achievable.” The Small Business Innovation Research grant program from the National Science Foundation is extremely competitive. More than a thousand companies compete in a two-stage screening: one for intellectual merit, and the other for commercial potential. This Phase 1 grant is the third Smart Software has received. About Smart Software, Inc. Founded in 1981, Smart Software, Inc. is a leader in providing businesses with enterprise-wide demand forecasting, planning and inventory optimization solutions.  Smart Software’s flagship product, SmartForecasts, has thousands of users worldwide, including customers at mid-market enterprises and Fortune 500 companies, such as Abbott Laboratories, Mitsubishi, Siemens, Disney, Nestle, GE and The Coca-Cola Company.  SmartForecasts gives demand planners the tools to handle sales seasonality, promotions, new and aging products, multi-dimensional hierarchies, and intermittently demanded service parts and capital goods items.  It also provides inventory managers with accurate estimates of the optimal inventory and safety stock required to meet future orders and achieve desired service levels.  Smart Software is headquartered in Belmont, Massachusetts and can be found on the World Wide Web at www.smartsoftware.wpengine.com. SmartForecasts is a registered trademark of Smart Software, Inc.  All other trademarks are the property of their respective owners.
      For more information, please contact Smart Software, Inc., Four Hill Road, Belmont, MA 02478. Phone: 1-800-SMART-99 (800-762-7899); FAX: 1-617-489-2748; E-mail: info@smartsoftware.wpengine.com