Sellabe days not respected on forecasted demand

  • Sellabe days not respected on forecasted demand

    Posted by Dan on March 27, 2020 at 7:38 am
    • Dan Perko

      Member

      March 27, 2020 at 7:38 AM

      I am working with a customer with a requirement that all product shipped to all customers has 60 sellable days on receipt. The standard sellable days functionality works for the for sales orders that are entered.

      Ā 

      Our issue lies on the planning side. From my testing master planning doesn’t respect sellable days for forecasted demand. I had thought that by entering the forecast at the customer level AX would respect the customer setup but that doesn’t seem to be the case.

      Ā 

      Has anyone run across this or does anyone have any ideas for a solution? I am not real fond of modifying any MPS logic and on top of that the customer is current on AX2012 R3 and starting an upgrade to D365.

      Ā 

      Thanks

      Dan

      ——————————
      Dan Perko
      Senior Consultant
      New Dawn Solutions, LLC
      Southport, NC
      ——————————

    • MICHAEL MILLS

      Member

      March 30, 2020 at 8:59 AM

      Hi Dan,

      I have an example attached of shelf life with Master planning.Ā  The two screen shots show the difference in planning based on shelf life.Ā  In the first exampale the shelf life is 10 days so three orders are suggested do to experation of product.Ā  The second screen shot the shelf life is 30 days and the suggestions are different because more of the product has not expired.Ā  There is a forecast in the system do drive demand.for the item in this example.

      ——————————
      Michael Mills
      AX D365 Sr. Enterprise Consultant Operations
      Blue Horseshoe Solutions
      Carmel, IN
      ——————————
      ——————————————-

    • Dan Perko

      Member

      March 30, 2020 at 9:13 AM

      Michael –
      Thanks for the reply. I am not questioning shelf life as it is functioning as I would expect. My problem is with the setting on the customer master for sellable days. (Number of shelf life days remaining on the product when the customer receives it). It works fine on customer orders but not on forecasted demand for the customer.

      Thanks
      Dan

      ——————————
      Dan Perko
      Senior Consultant
      New Dawn Solutions, LLC
      Southport, NC
      ——————————
      ——————————————-

    • Colby Gallagher

      Member

      March 30, 2020 at 1:10 PM

      Hi Dan,Ā 
      Ā  I’ve never seen that sellable days works with demand forecasting, only the reservation and picking processes.Ā Ā 

      I hope all is well with you!

      ——————————
      Colby Gallagher
      Managed Application Services Supervisor
      RSM
      OH
      ——————————
      ——————————————-

    • Patricia Liekens

      Member

      March 31, 2020 at 5:38 AM

      I have not yet seen it either, but it definitely should take this into account as you are not able to sell the products anymore to that specific customer if the shelf life for that customer is reached – and planned orders should be aligned to it, or it will lead to excess stock and thus costs, or decrease in service level towards the customers.Ā ?

      ——————————
      Patricia Liekens
      LantmƤnnen Unibake Holding A/S
      Copenhagen
      ——————————
      ——————————————-

    • Dan Perko

      Member

      March 31, 2020 at 8:42 AM

      For those that are interested this functionality is available in D365. We are going to open a support ticket to see if there is a hot fix.

      ——————————
      Dan Perko
      Senior Consultant
      New Dawn Solutions, LLC
      Southport, NC
      ——————————
      ——————————————-

    Dan replied 5 years, 5 months ago 1 Member · 0 Replies
  • 0 Replies

Sorry, there were no replies found.

The discussion ‘Sellabe days not respected on forecasted demand’ is closed to new replies.

Start of Discussion
0 of 0 replies June 2018
Now

Welcome to our new site!

Here you will find a wealth of information created for peopleĀ  that are on a mission to redefine business models with cloud techinologies, AI, automation, low code / no code applications, data, security & more to compete in the Acceleration Economy!