Evolution performance

SOLVED

Greetings,

Evo version 7.20 and soon moving to 10.1

We are large Tissue and Hygiene manufacturing company in East Africa, based out of in Nairobi - Kenya.

Currently at 65 and moving to 75 users and with 50+GB of database (16yr old db), my Evolution users face a lot of performance challenges.

Biggest performance hits are at:

1) BOM/Manufacturing module - A user could easily take 20min per manufacture, from navigating to the transactions window, to editing BOM to actual MF process. 

2) Overall Inventory module - Adding new item could take 40min. Through observation, I have realized due to multiple warehouse selection and 600+ Price lists.. new item creation takes really long. Sales/Purchase orders takes also a lot of time when searching for a customer and items..

My local partner has tried assisting on these issues but there is no much luck either.

The SQL Server 2012 Ent, is sitting on 8 core processors with 128GB of RAM.

I know there is no direct solution to this but let's start a dialogue to understand what can be done to start improving the system.

Regards,

Irfaan

Parents Reply
  • 0 in reply to ReliableBolt

    Hi there

    Yes, I know.... It's s really pity that we can't filter on anything BUT item code alone.

    However, I'll discuss this with our Evolution Development team on Friday and get back to you.

    By the way: what is your name? 

    And sorry for asking again:

    Are both issues you logged (see below) highly improved by activating Filter Starts?

    Even the total time if takes to actually process a new MF process from the second the Process button is clicked?

    1) BOM/Manufacturing module - A user could easily take 20min per manufacture, from navigating to the transactions window, to editing BOM to actual MF process. 

    2) Overall Inventory module - Adding new item could take 40min. Through observation, I have realized due to multiple warehouse selection and 600+ Price lists.. new item creation takes really long. Sales/Purchase orders takes also a lot of time when searching for a customer and items..

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