Enabling Sales and Operations Planning Through Technology by mThink, September 12, 2005 Successful sales and operations planning requires committed, step-by-step process changes to fully leverage software applications. The sales and operations planning (S&OP) process has been around for decades. I have discussed it in most of my presentations on demand planning and forecasting since the mid-1990s and have been polling audiences along the way. One-third of the early audiences were composed of individuals from companies that had implemented S&OP, while for recent audiences the number has been hovering over 80 percent. Clearly the S&OP process became more prevalent over the last decade or so, with a crescendo of interest in the last few years. An indicator of the interest in the S&OP process is the fact that, according to AMR Research, companies have spent around $12 billion in supply chain planning application software over the last six years. Yet while spending significant sums of money on S&OPrelated software, they were not seeing the benefits they expected because many did not change the process to fully leverage the enabling technology. This article provides a blueprint for helping companies improve their S&OP processes. It covers the ideal process to evolve toward, the enabling technologies needed and a four-stage maturity model developed to help companies diagnosis their as is S&OP processes, as well as to help them develop a road map for achieving their to be processes and technologies. The Ideal Process There are a dozen aspects of an ideal S&OP process. While they can never all be executed to the fullest extent, they represent an ideal process toward which companies should evolve, yielding improving supply chain performance. These aspects are summarized below. (More detail can be found in my article Sales and Operations Planning, Part I: The Process from The Journal of Business Forecasting [Fall 2004]): 1. Ongoing routine S&OP meetings: A key aspect of an S&OP process is that it is comprised of routine meetings. Three types of meetings are often held. The first establishes an unconstrained demand plan and forecast; the second meeting develops roughcut supply and constrained demand plans; and the third finalizes the alignment of the demand and supply plans. 2. Structured meeting agenda: S&OP meetings should follow a fixed agenda in a pre-specified amount of time that starts with a review of previous plans and ends with a consensus-based alignment of demand and supply plans. 3. Pre-work to support meeting inputs: The baseline demand forecasts and rough-cut demand and supply plans are inputs that need to be aggregated, synthesized and translated for managers prior to all meetings. 4. Cross-functional participation: Multifunctional attendance and participation during S&OP meetings is critical. Each member needs to represent his/her functional areas perspective and routinely show up or send a proxy. 5. Participants empowered to make decisions: Participants in the S&OP process need to be empowered by the executive team to make decisions based on their beliefs and interactions with other participants during meetings. 6. An unbiased, responsible organization to run a disciplined process: The S&OP process needs to be organized and run by a responsible organization, with the charter to schedule and run a disciplined process. 7. Internal collaborative process leading to consensus and accountability: A collaborative process that leads to consensusbased plans is required. Process participants need to be able to quickly create, review and revise plans. 8. An unbiased baseline forecast to start the process: Since a baseline demand forecast forms the working draft from which S&OP participants develop final demand and supply plans, it should be unbiased, unconstrained and incorporate all known impacts to future demand. 9. Joint supply and demand planning to ensure balance: Often demand plans are set in place before the S&OP meetings, so meetings are focused on developing supply plans to meet virtually inflexible demand plans. An S&OP process should involve give and take between supply- and demand-side managers, with final demand and supply plans jointly developed. 10. Measurement of the process: The S&OP process itself need to be measured. Metrics should cover more than the typical forecast errors, and should include measures such as variance to baseline forecasts and budgets and the adherence to prior sales, marketing and operations plans. 11. Supported by integrated supply-demand planning technology: Software applications to support S&OP should include an integrated set of demand- and supply-side planning systems, as well as workbench software that can support S&OP meeting requirements. 12. External inputs to the process: Most S&OP processes in place today are largely driven by internal demand and supply data. However, to the extent available, information from co-managed inventory programs such as vendor and supplier managed inventories, collaborative planning, forecasting and replenishment, and the sharing of downstream and upstream data can add value and should be inputs into the S&OP process. The Need for Technology First and foremost, one should recognize that software technology in and of itself is not very useful. Without technology, however, a business process like S&OP is cumbersome and can’t support the necessary scale to achieve its full benefits. Thus technology becomes necessary, but not sufficient. Often the S&OP process deals with a large, complex set of needs that require a level of automation and computational sophistication that goes well beyond what can be achieved with manual processes merely supported by computer spreadsheets. Consider the planning needs of a typical Global 1000 manufacturing company. Its S&OP process might need to develop weekly plans 12 to 18 months out for thousands of stock-keeping units that are stocked and shipped from more than 10 distribution centers, as well as plans for the component/material needs of more than 10 plants. There could be over 10 million planning elements that need to be generated. Coupled with the fact that constraint-based planning might need to be done using computationally-intensive algorithms, it is often virtually impossible for the manufacturer to support the S&OP process with spreadsheet technology alone. The S&OP Technology Architecture The S&OP process needs to be supported by three types of software applications demand-side planning, supply-side planning and an S&OP workbench. The components and the integrated supplydemand planning technology architecture for these are displayed in Figure 1. They depict how the components need to be integrated among themselves, as well as with other transaction-oriented business systems such as ERP, manufacturing execution and material requirements planning systems. The components for each of the three types of software applications are described below: 1. Demand-side planning systems: These systems support the development of demand plans and an unconstrained baseline forecast that are used as demand-side inputs to the S&OP process. The role of a demand planner system is to support users in generating the baseline forecast and adjusting it based on market intelligence. A demand collaborator system is used to capture, assemble and process market intelligence gleaned from a variety of sources, such as from field sales and marketing personnel, as well as from downstream customers that share their demand signals and are involved in co-management inventory programs. To facilitate information collection from remote locations and external sources such as customers, a demand collaborator is usually Web-based so that information can be transferred around the world. 2. Supply-side planning systems: These systems support the development of supply plans that are used as the supply-side inputs to the S&OP process. As such, they help to generate the inventory, production and procurement plans to meet unconstrained baseline demand forecasts. Inventory management and distributed requirements planning systems support users in generating expected inventory replenishment of finished goods warehouses, such as customer-facing warehouses and centralized warehouses. In constrained supply environments, multi-facility advanced planning and scheduling systems are used to produce more accurate plans that account for limitations in plant and distribution capacity, as well as for any short supply of components, materials and other production resources. Inventory optimizer systems support these types of systems by helping users set inventory targets that optimally trade off customer service targets against component, material, sub-assembly and finished goods inventories. Lastly, supply collaborator systems are used to capture, assemble and process supply capabilities from a variety of sources, such as purchasing personnel and upstream suppliers (including contract manufacturers). To facilitate information collection from remote locations and external sources, a supply collaborator is usually Web-based so that information can be shared. 3. S&OP workbench: This system supports two types of information. First, the workbench needs to generate dashboards that portray the planned supply versus unconstrained demand situations. These include supply-side metrics like expected plant utilizations, production capacity shortages and critical component shortages/surpluses, as well as demand-side metrics such as expected unfulfilled customer demand and customer order backlogs. The dashboard functionality also allows S&OP participants to quickly conduct what-if analyses of potential changes to the supply and/or the demand plans. A second type information that is needed during the S&OP process is how well the process itself is performing. The workbench needs to generate scorecards of key performance indicators that reflect how well the S&OP process has been working, to foster learning and improvements to the process over time. As shown in Figure 1, the demand-side and supply-side planning systems need to be integrated and synchronized so that a change in either the demand or the supply plans can be quickly reflected in the overall supply-demand picture. The S&OP workbench also needs to be integrated and synchronized with these and other planning components so that any changes made in plans during or between S&OP meetings can be reflected in the workbenchs supply-demand picture as well. All these systems are needed to support the ideal S&OP process. However, the mix of systems required depends upon current and evolving S&OP processes and these will vary greatly across companies. It is the process changes that dictate the types of enabling technology needed, since business processes dictate the enabling technologies required for supply chain improvement. An S&OP Maturity Model The S&OP process at many companies is far short of the ideal. To move closer, companies need to follow an evolutionary path. The first step would be to assess the S&OP process as is. This as-is process would then be compared to the ideal process. Last, a road map would need to be developed identifying what gaps would be addressed and when. Maturity models are generally useful in going through process change. Often the last maturity stage is practically unachievable; hence, it becomes the ideal to which companies strive to achieve, as well as is the benchmark over time against which to compare progress. The S&OP maturity model is comprised of four stages described below and depicted in Figure 2. Stage 1: Marginal Process Companies that have an S&OP process in Stage 1 have some type of planning processes going, but they tend to be less formal and sporadic, and often display a chaotic nature. This type of process can be viewed only marginally as a genuine S&OP process. Meetings take place on a sporadic basis and even if they are pre-scheduled they are frequently not high priority. Also under this type of S&OP process there are disjointed planning processes taking place. Multiple demand plans are independently developed by the demand-side organizations for their own operational planning purposes. There is little attempt to develop demand plans that are consensus-based or that incorporate inputs from other departments in the company. In addition, multiple supply plans might be independently developed by the supply-side organizations with little effort given to aligning them with each other or with the demand plans developed. Companies with a Stage 1 process need to begin to move to Stage 2 by first installing a more formal process that everyone agrees to support and participate in, and one in which some attempt is made to consolidate and harmonize the multitude of planning spreadsheets various departments may have. Stage 2: Rudimentary Process Companies that have a Stage 2 S&OP process have formal planning processes going on, but they are not fully participated in or integrated. This type of process has some of the very basic or rudimentary elements of an S&OP process. Meetings are scheduled and routinely held. However, attendance is spotty. Under this type of S&OP process the planning processes are interfaced. Multiple demand plans are developed by the demand-side organizations; however, they are shared. Since the demand and supply plans are separately developed each organization uses their own stand-alone enabling software technology. Frequently, the demand-side organizations use a demand planner system, the outputs of which are transmitted to the systems being used by the supply-side organizations. Meanwhile the supply-side organizations use multifacility advanced planning and software applications to develop supply plans that are predicated on the demand plans shared with them. The supply plans generated are typically not transmitted to the demand-side systems. Companies with a Stage 2 process can begin to move to Stage 3 by first getting executive management buy-in and then having the executives ensure that S&OP meetings are taken seriously, and that people are well recognized for their participation. These companies should also begin to adjust both the demand and supply plans during the S&OP meetings to move closer to consensus-based integrated planning. Stage 3: Classic Process Companies that have a Stage 3 S&OP process have formal planning processes that follow many of the basic elements of the ideal process. This type of process has all the by-the-book elements of an S&OP process. Meetings are routinely held and fully attended. Under this type of S&OP process the planning processes are integrated so that demand and supply plans are aligned jointly by demand-side and supply-side organizations. Rough-cut demand plans are developed and brought into the S&OP meetings. In addition, supply plans are aligned to demand plans. In more advanced Stage 3 processes collaborative information drawn from a limited number of major customers about their future demand needs is manually brought into the S&OP process. Possibly collaborative information from a few critical-component suppliers that highlight scarce materials might also be brought into the S&OP meetings. In this stage the demand-side and supply-side systems are integrated. Companies with a Stage 3 S&OP process can begin to move to Stage 4 by increasing the frequency of S&OP meetings and continuing to increase and enhance their collaborative relationships with suppliers and customers. Stage 4: Ideal Process A Stage 4 S&OP is a process that can never fully be achieved by any company, but should be used as a benchmark for guiding the continual improvement of the process. S&OP meetings in this stage are event-driven. They are scheduled on-demand only when someone wants to change any of the existing plans or when a supply-demand imbalance is detected. This implies that the process is supported by systems that constantly keep track of supply and demand in real time. Meetings would be conducted on a virtual basis so no one has to travel, thus enabling a global process. An advanced S&OP workbench system would support global meetings. In Stage 4, processes are extended externally, so that collaborative information is drawn from most customers and suppliers and enabled by demand collaborator and supply collaborator systems that are fully integrated to all the internal planning systems. Using the Maturity Model The S&OP maturity model should be used as a diagnostic tool to improve planning processes and technology assessment. Users should use the model to diagnose what stage their companies are currently in with the caveat that many will overestimate their current stage. Comparing the current processes to the processes of the next stage will identify the gaps that need to be closed over time. Initiatives aimed at closing each gap should be analyzed on a cost/benefit basis that accounts for the process and technology changes needed. Based on the analyses, the company should then develop a road map that specifies when each initiative would be undertaken. Filed under: Article, ascet, Knowledge, Planning and Forecasting, Supply Chain Strategy