openerp-expert-production team mailing list archive

[Pierre Gault <pierre.gault@xxxxxxxxxxxxxxxxxxxx>]

Hello Alejandro, 

Exactly, we are often asked to simulate "what if" scenarios, allocate resources in the workcenters... All the points you mentioned below are critical in production, and Odoo is not able yet to achieve this kind of scenario.
There are several options regarding this problematic:
- Go through connectors with specialized production planning softwares such as frepple, Arena, Simio. The problem is that we lose integration (only export/import)
- Look for V6 works that have not been upgraded. 
- Review the total MRP concept in Odoo and make a strong contributing collaboration of the community.

I am convinced that the last option could make Odoo one of the big player in manufacturing sector. On that subject, I have been told by Pedro Baeza that some partners are meeting at Open Days to discuss about MRP improvements in V8. I hope it will result in something relevant.
Please, those who are interested to contribute or who know about works already started, say it to the community, so we can start working on it together.

Kind regards.

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



----- Original Message -----
From: "Alejandro Santana" <alejandrosantana@xxxxxxxxx>
To: "Siddique Momin" <siddiqmomin@xxxxxxxxx>
Cc: "Pierre Gault" <pierre.gault@xxxxxxxxxxxxxxxxxxxx>, openerp-expert-production@xxxxxxxxxxxxxxxxxxx
Sent: Friday, June 6, 2014 7:30:46 AM
Subject: Re: [Openerp-expert-production] Planning and finite capacity in manufacturing - Odoo



Maybe read this?: https://www.odoo.com/event/OpenDays-2014-5/track/MRP-Improvements--31 




-- 
	

Alejandro Santana 

	alejandrosantana@xxxxxxxxx 


~ 

ANUBÍA, soluciones en la nube, S.L. 

www.anubia.es 

Plaza Fernando Conde Montero Ríos, 9 


36201, Vigo (Pontevedra) 




2014-06-06 12:09 GMT+02:00 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 


~ 

ANUBÍA, soluciones en la nube, S.L. 

www.anubia.es 

Plaza Fernando Conde Montero Ríos, 9 


36201, Vigo (Pontevedra) 




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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