System and method for replenishment by manufacture with attribute based planning

An attribute based method for planning the replenishment by manufacture of one or more resources in a supply chain network, said network comprising of one or more network resources, comprising the steps:

• modeling said network that includes the step of defining stock keeping units associated with said supply chain network resources;
• creating stock keeping unit attribute definition groups;
• inputting multiple orders, wherein said orders having attributes;
• selecting highest priority order for planning;
• generating one or more configurations based on one or more of said stock keeping unit attribute definition groups that are associated with said highest priority order, said association based on said highest priority order attributes, wherein said configurations comprising of subordinate stock keeping units and defining one or more feasible resources;
• evaluating said one or more configurations for feasibility;
• and
• selecting one of said configuration that is feasible for planning purposes.

An attribute based method for planning the use of one or more resources in a supply chain network in order to fulfill demand as define by an order, comprising the steps:

• determining attribute values of an order;
• creating stock keeping units associated with said network;
• associating said order with one or more said stock keeping units based on said attributes of said order;
• generating an attribute based bill of material based on said order attribute values, wherein said bill of material comprising of one or more configurations, one or more stock keeping unit attribute definition groups and one or more subordinate stock keeping units that are defined by said order;
• evaluating said configurations to determine feasibility;
• and
• selecting one of said configurations for planning based on search goals.

A system for planning the replenishment of network resources in order to fulfill demand as defined by an order, comprising:

• a computer device;
• a database in communication with said computer device, wherein said database comprising of tables for storing information relating to stock keeping units, bill of materials, stock keeping units attribute definition groups, and configurations;
• a module for determining attribute data relating to said order, wherein said data includes a stocking keeping unit that is associated with said order;
• a module for associating said order to one or more stock keeping unit attribute definition groups;
• a module for associating one or more configurations to said order based on said one or more stock keeping unit attribute definition groups, wherein said configurations comprising of one or more subordinate stock keeping units and defining one or more feasible resources;
• a module evaluating said configurations based on said each configuration data and determining whether each of said configurations are feasible;
• and
• a module for selecting a feasible configuration for planning the use of resources based on said evaluation of configurations.

A program storage device readable by a machine, tangibly embodying a program of instructions executable by a machine to perform method steps of planning the replenishment of one or more resources in a supply chain network in order to fulfill demand as define by an order, the method steps comprising:

• determining attribute values of an order;
• creating stock keeping units associated with said network;
• associating said order with one or more said stock keeping units based on said attribute values of said order;
• generating an attribute based bill of material based on said order attribute values, wherein said bill of material comprising of one or more stock keeping unit attribute definition groups;
• determining one or more configurations that are associated with said bill of material based on said one or more stock keeping unit attribute definition groups, wherein said one or more configuration defined by subordinate stock keeping units and defining one or more feasible resources;
• evaluating said one or more configurations to determine feasibility;
• and
• selecting one of said configurations for planning based on search goals.