Originally posted by: anca91
Dear all I have to deal with a project and do not know where to start. The project reads like this: a company makes products through the direct production of components that constitute them
and then providing their assembly.
The production takes place to meet customer orders expressed in terms of product units and
characterized by a two dates agreed.
The production cycle of any product is then schematizzatile in two steps:
• production of one or more components required by the product
• component assembly
The company has both a storehouse of Biniti products (therefore ready to delivery, without any
production time or assembly) and components.
Each component can be produced only on a speciBica machine, which can produce a
Only one component at a time, while the assembly can take place in parallel, neglecting
possible capacity constraints.
Once you initiated the production of a component of a machine, producing in sequence
always the same component type does not determine setup time, while every change of
kind of built-in puts a well deBinito setup time and known.
Are known is the production time per piece of each component that the assembly times
of each product.
Once the user has set a date / time of start of production to be programmed,
programming must take advantage of any available stocks and deBinire date / time
production of the required components and of subsequent assembly steps, with the objective
to minimize any delay (defined as the sum of the parts delayed by the number
of accumulated days late).
Optional. A further objective, downstream of the first and accepting a worsening entered it
on the first objective, it is to minimize the setup time.
A data set on which to start the development is in excel Bile "data for year project". This
it's just a starting point to be analyzed from the point of view of fairness (they are desirable
comments on the data).
Based on Bile like structure, but changing the content, it is necessary to "invent" the set of
Data highlighting the following scenarios and possible to assess how the decision instrument
acting on them:
• shortage of orders compared to stocks
• excess amount of components to be produced in the range of considered programming,
with the consequent need to produce delayed
• overload of one of the machines in particular
#CPLEXOptimizers#DecisionOptimization