Big data sourcing simulator

US10679178B2 · kind B2 · utility

Assignee

• International Business Machines Corporation · US

Inventors

• JoAnn Piersa Brereton · Hawthorne, US
• Ajay A. Deshpande · White Plains, US
• Arun Hampapur · Norwalk, US
• Miao He · Sunnyvale, US
• Alan J. King · South Salem, US
• Xuan Liu · Yorktown Heights, US
• Christopher S. Milite · Oxford, US
• Jae-Eun Park · Wappingers Falls, US
• Joline Ann Villaranda Uichanco · Quezon, PH
• Songhua Xing · Staten Island, US
• Steve Igrejas · Newton, US
• Hongliang Fei · Sunnyvale, US
• Vadiraja Ramamurthy · McKinney, US
• Yingjie Li · Elgin, US
• Kimberly D. Hendrix · New Albany, US
• Xiao Bo Zheng · Shanghai, CN

Key dates

• Filing date: Dec 1, 2015
• Grant date: Jun 9, 2020
• Expiry date: Sep 10, 2037

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0202
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A simulator is configured to simulate the fulfillment of orders by nodes. Each node has an inventory of products and is capable of shipping the products to destinations in response to receipt of a corresponding order. The simulator divides the nodes into groups and assigns a different priority to each group based on input provided by a user to the simulator to generate an ordered sequence of priorities. The simulator maintains safety stock data corresponding to each node that indicates minimum quantities of the products required to be present at the corresponding node. The simulator selects a current priority of the sequence and next simulates a first group among the groups having the current priority fulfilling the orders for a given product among the products while a quantity of the given product at each of the nodes in the first group is below the minimum quantity in the corresponding safety stock data.