Abstract: A system and method are disclosed for visualizing and modifying a model of a supply chain network. The method includes performing a polytope analysis using goals and levers, generating a network modeler GUI of a modeled supply chain network associated with the polytope analysis, receiving a selection to edit one or more node icons of the modeled supply chain network displayed on the network modeler GUI, receiving a selection to add one or more transportation lanes to the modeled supply chain network, receiving a selection to add one or more levers to the modeled supply chain network, receiving a selection to modify the modeled supply chain network, updating the polytope analysis based on at least one of the received selections, and generating and displaying a response plan based on the updated polytope analysis.

Abstract: A system and method are disclosed for visualizing and modifying a model of a supply chain network. The method includes performing a polytope analysis using goals and levers, generating a network modeler GUI of a modeled supply chain network associated with the polytope analysis, receiving a selection to edit one or more node icons of the modeled supply chain network displayed on the network modeler GUI, receiving a selection to add one or more transportation lanes to the modeled supply chain network, receiving a selection to add one or more levers to the modeled supply chain network, receiving a selection to modify the modeled supply chain network, updating the polytope analysis based on at least one of the received selections, and generating and displaying a response plan based on the updated polytope analysis.

Abstract: A system and method are disclosed for performing rough cut capacity planning. The method includes receiving supply chain transaction data as transaction tables, generating a base plan and generating updated transaction tables, denormalizing the base plan and the updated transaction tables, generating supply chain network flow paths and supply chain network data, solving a rough cut capacity planning problem based at least in part on the supply chain network flow paths, the supply chain network data and simulation data, repeating at least the generating and solving until business goals of the rough cut capacity planning meet a threshold, and updating the simulation data based on an upsert process. The method further includes relaxing supply chain network constraints, inverting the supply chain network, and traversing a perturbation in the supply chain network constraints as demands in a reverse direction towards customer nodes.

Abstract: A system and method are disclosed for performing rough cut capacity planning. The method includes receiving supply chain transaction data as transaction tables, generating a base plan and generating updated transaction tables, denormalizing the base plan and the updated transaction tables, generating supply chain network flow paths and supply chain network data, solving a rough cut capacity planning problem based at least in part on the supply chain network flow paths, the supply chain network data and simulation data, repeating at least the generating and solving until business goals of the rough cut capacity planning meet a threshold, and updating the simulation data based on an upsert process. The method further includes relaxing supply chain network constraints, inverting the supply chain network, and traversing a perturbation in the supply chain network constraints as demands in a reverse direction towards customer nodes.

Abstract: A system and method are disclosed for performing rough cut capacity planning. The method includes receiving supply chain transaction data as transaction tables, generating a base plan and generating updated transaction tables, denormalizing the base plan and the updated transaction tables, generating supply chain network flow paths and supply chain network data, solving a rough cut capacity planning problem based at least in part on the supply chain network flow paths, the supply chain network data and simulation data, repeating at least the generating and solving until business goals of the rough cut capacity planning meet a threshold, and updating the simulation data based on an upsert process. The method further includes relaxing supply chain network constraints, inverting the supply chain network, and traversing a perturbation in the supply chain network constraints as demands in a reverse direction towards customer nodes.

Abstract: A system and method are disclosed for visualizing and modifying a model of a supply chain network. The method includes performing a polytope analysis using goals and levers, generating a network modeler GUI of a modeled supply chain network associated with the polytope analysis, receiving a selection to edit one or more node icons of the modeled supply chain network displayed on the network modeler GUI, receiving a selection to add one or more transportation lanes to the modeled supply chain network, receiving a selection to add one or more levers to the modeled supply chain network, receiving a selection to modify the modeled supply chain network, updating the polytope analysis based on at least one of the received selections, and generating and displaying a response plan based on the updated polytope analysis.

Abstract: A system and method are disclosed for autonomously performing a polytope analysis. The method further includes autonomously identifying input for use in the polytope analysis using natural language processing techniques, performing a polytope analysis using the identified input, generating response plans based on the performed polytope analysis, displaying the generated response plans, and executing at least one of the generated response plans. The method includes where the identified input comprises assumptions, goals, and levers for a polytope analysis. The method further includes providing a GUI that is configured to perform altering, adding and removing assumptions, goals and levers. The method further includes displaying assumption data associated with the polytope analysis, where the assumption data comprises type, priority, one dates, confidence, description and scope.

Abstract: A system and method are disclosed for executing mitigation strategies based on generated assumptions. The method includes receiving assumptions, bundling the received assumptions into perspectives, creating assumption variants, modelling a scope and impact of each of the assumption variants, generating mitigation options for each of the assumption variants, building response plans with recommendations, displaying the assumptions and associated assumptions data, and automatically executing the response plans in response to triggers for action defined in response plan data. The method further includes generating the mitigation options to address anticipated impacts and generating a hierarchical scenario structure of multiple assumption variants. The method further includes generating probability coefficients for each of the assumption variants, where the probability coefficients each specify an estimated likelihood of occurrence of each of the assumption variants.

Abstract: A system and method are disclosed for performing assumption-based planning. The method includes generating and displaying an assumption creation GUI for creating assumptions, generating and displaying a planning GUI configured for selection of options and parameters, generating and displaying a goal selection GUI configured for a selection of goals for planning, generating and displaying a lever selection GUI configured for a selection of levers for planning, updating the lever selection GUI, generating and displaying an input adjustment GUI configured to display the levers and receive selections to toggle the levers on or off, performing a planning analysis using the selected goals and the selected levers, generating and displaying a planning analysis summary GUI configured to display the selected goals and the selected levers used in performing the planning analysis, and generating and displaying a response plan GUI configured to display a response plan based on the planning analysis.