Dear Sir/Madam,
I am using proc MIRP for modeling a supply chain network. I can see in Proc IRP there is lotsize keyword in replenishment statement but not in Proc MIRP.
How can I model lotsize in MIRP?
How can I model order cycle in MIRP?
Thanking in advance.
Lokendra
Hello Lokendra,
For modeling the lotsize, you can use the variable of BATCHSIZE in the NODEDATA=dataset.
For the order cycle, you can use the variable of PBR in the NODEDATA=dataset. PBR specifies the number of periods between
two replenishment orders. Its default value is 1.
Thanks,
KDuck
Hello Lokendra,
For modeling the lotsize, you can use the variable of BATCHSIZE in the NODEDATA=dataset.
For the order cycle, you can use the variable of PBR in the NODEDATA=dataset. PBR specifies the number of periods between
two replenishment orders. Its default value is 1.
Thanks,
KDuck
Thanks.
Whenever I am using OBJECTIVE=POLICY_ORDER_KPI and using Horizon=100 in the output I get different values for reorder level and OUTL. I intermittent demand model and have variance and mean but want to assume stationary demand. How to model this. This will be very helpful. When I do not use HOrizon option I get same reorder point and OUTL for 12 periods.
Also when we use OBJECTIVE=EVALISL I do not get reorder level in the output. How can I get. I am running this for different service level and want see the KPI change.
thanks in advance
Lokendra
If you have run with the specified inventory, it is expected to get different values of reorder level. And the default value of Horizon option is 12.
To obtain the identical reorder level for the stationary demand, you may try to run the following steps:
If you still have some questions or issues, please provide us your code and data sets.
For your second question,
since SS policy is used for OBJECTIVE=EVALISL, you can simply compute the reorder level as (order upto level – 1).
Thanks,
KDuck
Thank You
Join us for SAS Innovate 2025, our biggest and most exciting global event of the year, in Orlando, FL, from May 6-9. Sign up by March 14 for just $795.
Learn how to run multiple linear regression models with and without interactions, presented by SAS user Alex Chaplin.
Find more tutorials on the SAS Users YouTube channel.