ANALYTIC FRAMEWORK FOR HANDLING TRADE-OFFS BETWEEN DIFFERENT BUSINESS OBJECTIVES IN PLANNING AND SCHEDULING APPLICATIONS

摘要

A advanced planning and scheduling (APS) application for processing business objectives in a process industry. A method of the APS uses a business priority provided by a user for each the business objectives, ranks the business priority for each of the business objectives from a top priority to a lowest priority, and identifies a set of desired solutions for the top priority business objective. The method selects solutions in the set of desired solutions whose percentage change in honoring a second highest priority business objective is more than a percentage change in the top priority business objective. The method iterates through the solutions in the set of desired solutions for each of the remaining business objectives to realize an output solution such that the business objectives are optimized through successive linear programming.

主权项

1. A method of electronically processing business objectives in a planning and scheduling system, the method comprising:
identifying a plurality of business objectives to determine how to meet a customer demand with available resources in a process control system; ranking a business priority provided by a user for each of the business objectives from a top priority to a lowest priority; identifying a set of desired solutions for the top priority business objective; selecting solutions in the set of desired solutions whose percentage change in honoring a second highest priority business objective is more than a percentage change in the top priority business objective; selecting solutions in the set of desired solutions whose percentage change in honoring a next highest priority business objective is more than the percentage change in the second highest priority business objective; iterating through the solutions in the set of desired solutions for each of the remaining business objectives; and realizing an output solution such that the business objectives are optimized through successive linear programming.