Dalsa has been using Adexa planning applications for many years to overcome their business challenges such as on-hand inventory reduction, meeting customer requested date and capacity allocation for the demand load and engineering forecasts.
With stochastic planning and ability to learn patterns of behavior we are at a point to know the exact availability of resources, tools, customer and supplier behavior as they change in different seasons, with events or other social and environmental factors.
Covid-19 has been a good lesson for most companies to bring to surface the vulnerability of their supply chains. However, we have many other events including recent tariffs and trade wars, economic downturn of 2008, and tsunami in Japan.
If you lived in an earthquake zone or hurricane region, you would design your house to be resilient to these inevitable disasters. Your safety and survival come before efficiency and cost. Your supply chain is not any different.
When you acquire S&OP solution by itself, you are getting only half the solution that is needed to plan and execute the plan. That is why so much manual and sub-optimal planning is done with today’s S&OP solutions.
Gartner is advocating composable business architecture for real-time adaptability and resilience in the face of uncertainty. One of the major components of such an architecture is composable technology.
Looking back over the past few decades there is every indication that more intelligent robots will be replacing jobs. Most of the jobs lost in the past have unfortunately been lower skill jobs in manufacturing.
Let’s say you plan your vacation to drive from LA to San Francisco on a certain date, weeks or even months ahead. How accurate is this plan?
Almost all supply chain planning vendors use attributes only for finished goods in order match demand to available supply. This is not what Attribute Based Planning (ABP) is all about!
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