Exxonmobil Research and Engineering Company

Jin-Hwa Song

Kevin C Furman

Vikas Goel

Gary Robert Kocis

Philip H Warrick

Amr S El-Bakry

Sangbum Lee

Federico D Carvallo

Michael K McDonald

James Dreher

Aristides Miroyannis

Richard Perry Connell

Chad D Reimann

The present invention is a computational system to generate feasible marine transportation schedules given a proposed bulk material supply chain. The decision support tool will fulfill the objectives and scope defined above. The technology employed will require (a) the use of mathematical programming modeling techniques (mixed integer linear programming) to mathematically formulate the business problem, and (b) advanced proprietary solution methods to produce solutions satisfying all constraints of the mathematical model while optimizing an objective function. The decision support tool has the following capabilities: Read input data, Generate feasible bulk material ship Schedule, Evaluate bulk material ship Schedule with User-defined Objective Function, Allow Case comparison, Graphical user interface (GUI) for specifying input data and displaying results.

Bulk material ship routing and inventory management schedule optimization

A computer application loaded on a computer readable medium, a computer apparatus comprising the same, and process employing the same, is described herein. The computer application, when executed, causes a computer to optimize, for maximum net profit margin, the product allocation, transportation routing, transportation vehicle/route scheduling and, optionally, blending, of bulk products that are produced by and loaded from supply locations and delivered to and consumed by demand locations, using a heterogeneous fleet of transportation vehicles over a pre-defined period of time.

System for optimizing bulk product allocation, transportation and blending

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Whitehouse Station, NJ, United States of America

Jin-Hwa Song