Logistics Viewpoints
JULY 22, 2021
Sales & Operations Planning (S&OP) as a process has been around since the 1980’s. While the terminology evolved, the underlying thesis of S&OP has stayed the same, i.e., bridge the divide between sales forecasts and operational plans while respecting the budget.
Supply Chain Shaman
FEBRUARY 14, 2022
I wrote my first report on Sales and Operations Planning (S&OP) while sitting on the floor in the Atlanta airport in 2005 when I was an AMR Research analyst. The model in Figure 1 became the foundational model for the Gartner S&OP model. Sales and Operations Maturity Model from 2005-2008. Figures 2 and 3.
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Elementum
JUNE 18, 2021
Dear S&OP, First of all, “A for Effort”. “There’s S&OP…and then there’s the real world.” Only 11% of manufacturers are able to consistently, accurately tie S&OP to execution. That’s what 63% of planners say, even after implementing S&OP. executives lament.
Logility
AUGUST 5, 2021
For example, protectionist trade policies, labor shortages, scaled-down logistics services, and higher-volume direct-to-consumer transactions have increased the cost of ingredients and finished products, left store shelves partially empty, and caused revenue loss. Yielding Winning Outcomes in a Field of Uncertainty.
Elementum
JUNE 18, 2021
Dear S&OP, First of all, “A for Effort”. There’s S&OP.and then there’s the real world.". Only 11% of manufacturers are able to consistently, accurately tie S&OP to execution. That’s what 63% of planners say, even after implementing S&OP. S&OP is hard to implement.
Enterra Insights
JUNE 26, 2019
Sales and Operations Planning (S&OP) has been around for three decades. Many pundits, however, believe the S&OP process, as originally conceived, needs to change. What’s going on? ”[2] Think back 30 years to around the time the S&OP concept was first developed. They are: 1.
Talking Logistics
AUGUST 8, 2017
In my previous guest commentary , I shared some of my thoughts on the impact of machine learning on S&OP and described what would be a potential ultimate machine learning solution. In today’s post, I’ll share some concrete examples of machine learning applications used today in the context of S&OP.
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