frePPLev2.0
open source Production PLanning
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  • C++ API

Demand solver

Ignore the demand if quantity is 0
Erase previous delivery operation plans, except the ones that are locked
Loop until the full demand quantity is planned.

Call operation->ask(missing quantity,due date), where operation is the demand’s or the items delivery operation
If planned quantity = 0 then

Call operation->ask(minimum delivery quantity,due date)
If the planned quantity is non-zero this time then

Iteratively try to plan increasing quantities to find the maximum feasible quantity
If planned quantity = requested quantity, or the demand planning policy allows planning the demand in parts or shorts then

Commit the operation plan creation
Else
Rollback the list of scheduled operation plans
If planned quantity > 0 then

     // This step is required to make sure all supplying paths are planned for the quantity of the most constraining path
     Call operation->ask(planned quantity, due date)
Commit the operation plan creation
Update the planned quantity for the next iteration in the loop
Exit the loop if the demand can’t be planned late
    • Getting started
    • Modeling guide
      • Simplified domain model
      • Detailed domain model
      • Environment variables
      • Python interpreter
      • Global parameters
      • Buffer
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      • Flow
      • Item
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      • Location
      • Operation
      • Suboperation
      • Operationplan
      • Problem
      • Resource
      • SetupMatrix
      • Skill
      • Resource skill
      • Solver
      • Extension modules
        • Forecast module
        • REST web service module
        • Linear programming solver module
        • OpenERP connector module
    • User guide
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      • Screens
        • Data input
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        • Comments
        • History – Audit trail
        • Plan analysis
          • Problem report
          • Constraint report
          • Inventory report
          • Inventory detail report
          • Resource report
          • Resource Gantt report
          • Resource detail report
          • Operation report
          • Operation detail report
          • Demand report
          • Demand detail report
          • Demand Gantt report
          • Forecast report
          • Performance indicator report
        • Execute
      • Batch commands
        • manage.py (manage.exe on Windows)
        • frepple (frepple.exe on Windows)
        • freppleservice.exe (Windows only)
    • Installation guide
      • Windows installer
      • Compiling on Windows
      • Linux binary packages
      • Compiling on Linux
      • Compiling on debian-based linux
      • Compiling on Red Hat based Linux
      • Compiling from the subversion source code repository
      • Running the VMWare virtual machine
      • Other platforms
      • Configuring the user interface
      • Configuring multiple models in the user interface
      • Configuring as a Python extension module
    • FAQ
    • Developer guide
      • Code structure
      • Class diagram
      • Solver
        • Solver features
        • Planning algorithm
          • Top level loop
          • Demand solver
          • Buffer solver
          • Flow solver
          • Load solver
          • Operation solver
          • Resource solver
        • Cluster and level algorithm
      • Extension modules
      • Version control
      • Style guide
      • Portability
      • Security
      • Internationalization
      • Translating the user interface
      • Adding or customizing a report
      • Unit tests
        • buffer_procure_1
        • calendar
        • callback
        • cluster
        • constraints_combined_1
        • constraints_combined_2
        • constraints_leadtime_1
        • constraints_material_1
        • constraints_material_2
        • constraints_material_3
        • constraints_material_4
        • constraints_resource_1
        • constraints_resource_2
        • constraints_resource_3
        • constraints_resource_4
        • constraints_resource_5
        • datetime
        • deletion
        • demand_policy
        • flow_alternate_1
        • flow_alternate_2
        • flow_effective
        • forecast_1
        • forecast_2
        • forecast_3
        • forecast_4
        • forecast_5
        • forecast_6
        • jobshop
        • load_alternate
        • load_effective
        • lpsolver_1
        • multithreading
        • name
        • operation_alternate
        • operation_available
        • operation_effective
        • operation_pre_post
        • operation_routing
        • pegging
        • problems
        • python_1
        • python_2
        • python_3
        • safety_stock
        • sample_module
        • scalability_1
        • scalability_2
        • scalability_3
        • setup_1
        • setup_2
        • skill
        • xml
        • xml_remote
    • License
      • GNU Affero General Public License
      • GNU Free Documentation License
    • Third party add-ons
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