openerp-expert-production team mailing list archive

[Alejandro Santana <alejandrosantana@xxxxxxxxx>]

Hi, we are being consulted on the same subject.
So far, standard Odoo MRP is quite weak in this aspect and not
reality-ready for many manufacturing companies.

Talking with both companies and University proffessors, and with experience
from previous jobs in industry, we are in the process of detecting actual
needs (in the long run).

Yet to do a complete deep analysis, I summarize here just some points we
were told or thought about:
- One of the things is, precisely the need to plan with a given finite
capacity...
- but also to simulate different plannings according to different
parameters, such as:
  _- fastest route,
  _- cheapest route (operator cost, extra hours cost, machine consumption),
  _- balance load among different machines or try to avoid starting a
machine,
  _- balance (or maximize or minimize) machine total working hours
(depending on each machine policy),
  _- optimize electric consumption if more than one machine can produce a
piece but have different power consumption,...) and then choose one,
discard the rest.
- take into account calendar availability (scheduled maintenance work,
weekends, each worker vacations or other duties, official holidays (levels:
country, state, city, company),...),
- be able to tweak the calculated planning (here would help a complete
Gantt chart, not the existing limited one),
- be able to deal with the fact that sometimes 1 operator can operate more
than one machine simultaneously,
- be able to recompute just the remaining part of a planning if some
changes happen (machine breaks, for example)
- be able to relate each worker to different machines he/she can operate,
- parametric bill of materials: kind of template bill of materials, with
some parameters in parents that change their children values and so on
(super useful also for quotations of complex products which vary in some
parametes (think x, y, z, rounding radius, surface polishing level,...)),
- ...

Were also asked about the posibility to export/import data to/from Arena,
Simio or others.
As we see, manufacturing is a very complex world and there is a lot of work
to be done, but a lot can be achieved.





--
  Alejandro Santana
 alejandrosantana@xxxxxxxxx

<alejandrosantana@xxxxxxxxx>
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2014-06-06 7:04 GMT+02:00 Siddique Momin <siddiqmomin@xxxxxxxxx>:

> Hi Pierre,
>
> I think finite capacity can be achieved by complete MPS in picture
> considering the capacity and time cycle for the work centers. I have worked
> on this aspect and achieved to certain level through MPS based on following
> points in Odoo..
>
> 1. Work center time cycle (weekly time for availability)
> 2. Work center capacity and time of pre, in process and after production
> 3. Managing the scheduling based on MTS and MTO based on the requirement.
>
> This gives me the actual loading of the WC to be run with and also
> flexibility to check alternate routing for availability run of the
> production orders in case one line is packed with capacity.
>
> Let me know if you need more details.
>
> Thanks,
>
> Sid
>
>
> On Fri, Jun 6, 2014 at 12:50 AM, Pierre Gault <
> pierre.gault@xxxxxxxxxxxxxxxxxxxx> wrote:
>
>> Hello community,
>>
>> We are facing a growing demand of planning and finite capacity management
>> in manufacturing. Many customers needs to plan their manufacturing delays
>> before confirming manufacturing orders. More over, finite capacity
>> management seems to be lacking in Odoo and it looks impossible to really
>> plan a production considering several manufacturing orders in the same
>> workcenter.
>>
>> Do you know about future projects that would improve this part of Odoo
>> MRP? Are you facing the same kind of demand regarding your customers?
>> In our side, we would be happy to contribute to this and share our
>> experience with the community and interested contributors.
>>
>>
>> Pierre Gault
>>
>> Consultant OpenERP
>> Savoir-faire Linux
>> Tel: + 1 (514) 276 5468, ext. 329
>> Courriel: pierre.gault@xxxxxxxxxxxxxxxxxxxx
>>
>> 7275 Saint-Urbain, bureau 200
>> Montréal, QC
>> H2R 2Y5
>>
>>
>>
>>
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>
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