Bỏ qua để đến Nội dung
Menu
Câu hỏi này đã bị gắn cờ
1 Trả lời
5828 Lượt xem

I am trying to setup a new food production company in OpenERP 8. The besic business process requires me to group Manufacturing Orders by type of product. Currently I have next preconditions: 

Products:

  1. Egg; Stockable Product; Unit(s); Routes: Buy, Make To Order; Suppliers: Shop, Minimum Quantity = 6
  2. Flour; Stockable Product; Kg; Routes: Buy, Make To Order; Suppliers: Shop, Minimum Quantity = 1
  3. Pancakes; Stockable Product; Unit(s); Routes: Manufacture, Make To Order; BOM: 
    1. Egg; Quantity=2
    2. Flour; Quantity=0,5

One sales order with two lines: 

  1. Pancakes; Quantity=1
  2. Pancakes; Quantity=1

When I confirm sales for this quota and run all procurements I will receive: 

  1. Two Manufacturing Orders - this is not very comfortable, but ok.
  2. One Purchase Quota with two lines: 
    1. Egg; Quantity=12
    2. Flour; Quantity=2

System suggest to buy me twice more than I expect it will and the reason because initialy it creates two MO. 

Please advice me the correct way how to solve it, as I do not belive that it is a bug. 

Ảnh đại diện
Huỷ bỏ
Tác giả

Maybe I could solve it when I put the Product->Suppliers->Minimum Quantity to the minimum possible value. But for now system limit it to 1. So I would need to have a minimal UOM for each component product. But maybe there is some another way to do it?

Câu trả lời hay nhất

Change from 'MAKE TO ORDER' to 'MAKE TO STOCK' and add an order point of 0.

MAKE TO ORDER = ignore any existing stock, always order the full amount of materials when a sale is created.

You will then get ONE Manufacturing Order for EVERYTHING you need every time you run the Scheduler - which is configurable to run once per shift, per day, on demand, etc

Ảnh đại diện
Huỷ bỏ

Make to Stock is gone in v8, Buy, Manuacture, Make to Order. So I assume you mean Make to Order = False?

Bài viết liên quan Trả lời Lượt xem Hoạt động
Multi layered BOMs Đã xử lý
2
thg 8 25
814
2
thg 6 25
1155
2
thg 3 25
1201
2
thg 8 24
4397
1
thg 3 24
2078