All that said, it’s not enough to simply decide that you’d like to have an S&OP workflow and then magically improve your profit margins. On the contrary, you need to choose an appropriate software solution and then implement both the solution and the process itself in a way that’s time-efficient and in line with your larger corporate goals. Considering all the different philosophies out there for the “right” way to do S&OP—not to mention all of the different software options—this is often easier said than done. The question is: how can you implement an S&OP process without succumbing to the many pitfalls and hurdles that can slow down implementation and eat into your ROI?
Okay, first things first: S&OP is, by its very nature, a software-driven framework. Why? Because effective S&OP planning depends on digitally tracking supply and demand data in order to create forecasts, analyses, and visualizations. If you choose the right S&OP software, all of this will be a breeze, and your quarterly S&OP meetings will be full of well-informed stakeholders collaborating on a highly visible plan. If you choose something that creates information and planning silos, on the other hand, your planning meetings will be hampered by incomplete or incorrect information, and you’ll be forever fighting to stave off disruptions from inventory outages to over-sourced raw materials. How do you make sure you’re choosing the right software? For starters, ask yourself (and your potential vendors) a few questions:
With the answers to these questions, you can start to get a sense of how easily a particular solution would mesh with your goals and IT environment, and how effectively it would power mid-range demand-supply planning.
Once you’ve picked out a solution, you need to implement it. The exact process here will vary considerably from one software offering to another, but for any solution you choose you’ll need to connect relevant sources of data. This is a crucial part of the process, since streams of up-to-date data are the backbone of S&OP planning operations. As such, it’s critical that you connect the right data sources when you’re setting up the software environment. Right now, what’s the most up-to-date, accurate repository of information about what’s in your warehouse? Whatever it is, that’s what you should be integrating. The same goes for logistics plans, production plans, customer orders, and every other value chain process you can think of. For something like live demand tracking, you may want to integrate with third party sources of data (data from your suppliers’ or customers’ IT, for instance), but the same considerations will apply there as well. By taking this approach, you make sure that you’re never putting a plan together based on outdated or incomplete data.
Okay, you’ve picked out and set up your S&OP solution. The next step is to actually set up your quarterly S&OP meetings. This is where you’ll have to tackle challenges that are more operational than technological—though technology can certainly help. You’ll have to get buy-in from inventory managers, production planners, C-level executives, and transport planners in order to get these meetings up and running. What does getting buy-in look like? Well, for starters, finding a regular time to actually sit down and meet. Beyond that, you’ll need to sell them on the S&OP software in order to make sure that they’re actually engaging with it, otherwise there will be gaps in your information and your plans will be less likely to succeed. This is why it’s key to account for the needs of disparate departments and stakeholders when you’re selecting your solution in the first place. Once you’re meeting the needs of these different stakeholders, they’ll be more engaged in the process and thus more likely to work towards success.
This is related to the preceding step, but it bears its own mention: make sure you’re tracking, visualizing, and reporting on the right KPIs. For a larger auto manufacturer, your standard inventory volumes for parts might be so large that tracking them on a daily or weekly basis tells you much less than a quarterly or even year-over-year view. Likewise, a smaller, leaner manufacturing outfit might be more interested in adapting quickly to sudden demand changes, which would mean emphasizing peripheral indicators of demand. Of course, these KPIs don't have to (and, in fact, shouldn’t) remain static over time. Reevaluate every so often whether or not you’re tracking to right metrics for your particular goals.
Different S&OP platforms will have different features and functionality, but whatever you choose should have some degree of analytics integration. This can and should take the form of advanced predictive algorithms that produce smarter forecasts than a human planner could possibly generate by hand, or prescriptive analytics that suggest process improvements based on a digital map of your existing production and transport networks. These analytics flows are a critical component of the S&OP process, and S&OP planning sessions that rely heavily on those analytics are a good way to ensure that you’re maximizing the value of the supply chain data you create on a daily basis. After, that’s what S&OP is all about: aligning data and processes that already exist for improved results across the board.