Central Planning Engines: Lessons from Leibniz

Arkieva’s Dr. Ken Fordyce recently participated in the Dagstuhl Seminar, "Modeling and Analysis of Semiconductor Supply Chains" in Wardern Germany. While attending he was able to participate in great discussions about “end to end” planning – aka master scheduling, and has written about his observations in regards to Advanced Planning and Schedule (APS), supply planning, and Central Planning Engine (CPE).

By |2019-04-13T23:09:48-04:00February 26th, 2016|Supply Chain, Supply Planning|

Lessons from IBM: Supply Chain Efficiency & Smart Planning Engines

“Complexity exists, whether you ignore or not – better not to ignore it” Peter Lyon IBM retired, former director IBM Strategic Systems In 1995 the IBM Microelectronics Division made a decision to invest in a “smart” central or supply chain planning engine (CPE) to intelligently match assets with demand to improve its performance and responsiveness. 

By |2019-04-13T23:09:56-04:00October 22nd, 2015|General Topics, S&OP, Supply Chain|

Building Your First Model

In my previous post, I encouraged you to mingle with your new colleagues and make yourself known as the new go-to person for when planning is involved. While doing so, you have not only started building relationships, you’ve also raised some expectations. Now that you have an idea on what challenges your company might face,

By |2019-04-13T23:09:56-04:00October 20th, 2015|S&OP|

Illusively Complex – Effective Approach to Mixing Judgment and Statistics in Forecasting

In 1994, the IBM Micro-electronics Division, itself a fortune 100 size firm, put in place a major effort to create best in class supply chain planning process and software including demand planning(DM), central planning, available to promise, et al. I was fortunate to be an original member and had the opportunity to work extensively on

By |2024-02-21T14:20:42-05:00October 13th, 2015|Demand Planning|

Eliminating Some Of The Safety Stock Mystery

In the simplest inventory situation, the only variability is in the quantity of demand for a single day.  There is no trend up or down or seasonal effect. The demand today is independent of the demand for tomorrow.  Additionally, we will assume replenishment time is zero.  That is when we place an order for additional

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