The Closed-loop Supply Chain Strategy
OK, what came first - the chicken or an egg? Well, for most it does not matter and as for others – they probably don’t care, though the question continues to draw quite an attention from many a curious mind. However, what’s interesting is that one cannot live without the other, and in fact one emanates from the other as a never ending inter-looping hierarchical chain. This chain is a logical chain and is also a genetic chain. The DNA of the chain keeps evolving getting refined and in many ways better as the right feedback gets factored into the chain. No wonder then the “chickens” of today are probably smarter than their predecessors.
The inter-looping hierarchical chain – sounds familiar to many supply chain practitioners. What’s genetic chain to the circle of life is what an inter-looping planning process is to a self-sustaining efficient supply chain. For many supply chain practitioners and thought-leaders alike, a supply chain process starts with forecasting and in all likelihood ends with a customer delivery. Well, it’s one way to look at a supply chain planning process, however if we ponder on this thought a little deeper, it will be amply clear that the objective of a planning process irrespective of where it starts and ends is to keep it self-sustainable. Have strong feedback processes in place that keeps giving the right signal to all supply chain processes. The more the planning processes speak with each other, the more likely it is to come up with a continuously improving and efficient supply chain.
Let us dwell on some of these feedback processes in a best-of-class supply chain:
1. Have appropriate bias forecast signals (Read blog on Caveats in a Forecasting System Implementation Project. ) to make sure that Forecasters are constantly given feedback on the possibility of under or over-forecasting
2. Constrained Supply Chain planning process uses available inventory, capacity, multi-modal business rules, lot sizes, lead-times, and procurement/manufacturing rules in one consistent model to propose what is feasible
3. A constrained supply plan should always be fedback into a Forecasting system even if the constraints are short-term in nature
4. Order Promising should be based on what is available, feasible and forecast in the supply chain
5. Production plans need to work off of aggregate level medium-term supply plans
6. Final deployment and load building plans should be based out of Production Plans that are firmed up
As we can see, an efficient supply chain planning is not just about Forecasting or Supply Chain planning. It is the ability to make these applications constantly speak with each other – after all everyone likes evolution more than a convolution.
