How to design a data model to compare orders price vs cost in a star schema

[evigil24]

I'm struggling triying to make a star schema from a set of tables with different origins, two SQL databases, Excel files and CSV reports, it's a bit of a puzzle.
The initial tables that they provide me are set like this:

The important points of this set of tables are:

• In Products table IdProduct is not unique, because one product can be make with one type of machine in factory A, and another type of machine in factory B, so it's one row for every Factory/Machine/IdProduct combination.
• The OrderItems table has mixed rows with materials and products, so you have all the products in the Order and all the materials used in each product of the same Order.
• The cost of the material changes daily and is updated in the system from where I get the OrderItems table.
• The delivery cost is different for each order.
• The packaging and fix costs are updated once a week.
• The product price changes from order to order (it is set taking into account the client, day and size of the order).

I got to this model dividing the OrderItems in products and costs (materials), and joining with them the fixed costs and the packaging costs, I haven't joined the delivery costs, but i end up with two fact tables and a snowflake schema:

I am thinking in Region, Factory, Machine, Date, Product, and a compound of cost concepts (materials, fixed costs, etc.) as dimensions, and the total amounts and quantities as facts. This to compare the total sales to the total costs around the different dimensions.

I just wanna know if this is the correct path or there is a better way, I tried to search more about the subject but the case is too specific so I get nothing.
Thanks in advance for your answers.