Adexa Supply Chain Planning Blog
Adexa and vTradEx form the extended supply chain
The joint solution addresses supply chain business processes from network optimization to supply chain planning, factory scheduling, warehouse management, and transportation management, including last mile delivery.
Planning & Manufacturing Execution are Inseparable
A continuum of planning and manufacturing execution removes “vertical silos” and enables smooth planning and execution on a continuous basis.
Eliminate the Disconnect between S&OP and S&OE
Having a single environment for both planning and execution allows uninterrupted communication between long term plans and short-term execution of plans.
Why Bother? Even Watson can get it Wrong
People are all too enamored with AI, machine learning, and more recently generative AI, but forgetting that these techniques have limitations and all they do is look in the rearview mirror to decide what is ahead.
Supply Chain Digitalization is Essential
Supply chain digital transformation empowers your planning, sourcing, and logistics teams to collaborate, automate and effectively leverage analytics. It has also proven to drive growth, mitigate risk, and optimize costs.
Design your Digital Thread using Attribute Based Planning
A Digital Thread is a link between all the different Bills of Material used in a product’s life cycle and horizons of supply chain planning. This includes engineering BOM, Sales BOM, Manufacturing BOM, Production BOM and Service BOM.
Adexa is Recipient of 2023 Top Supply Chain Projects Award
Supply & Demand Chain Executive, the only publication covering the entire global supply chain, named ADEXA as one of the winners of this year’s Top Supply Chain Projects award.
Not All UX are Created Equal
Traditional software applications use UX to give control to the users to navigate through the issues and problems that they are alerted to. An intelligent UX can guide the user to see issues that are not necessarily visible.
Use of AI/ML to Decide Cycle-times is a Futile Exercise
AI and ML techniques to estimate what the cycle time is based on past experience. This is a simplified approach, offered by many supply chain planning vendors, that is not a good strategy. The algorithm is likely to produce a cycle time that it has learned not knowing that by re-allocating the orders a much better cycle time and faster delivery date can be given to the customer.
Join Adexa @ Gartner Symposium/Xpo 2023
Going to Gartner Symposium/Xpo this May? Stop by Adexa's booth #507 to meet our team of supply chain experts and experience the only next generation SCP in a unified S&OP/S&OE environment on the market!
