Mathematical Methods for Controlling the Performance of an Industrial Park

Abstract

: Robust reliable performance metrics enable a management to identify and address deficiencies and control factors to improve performance of any system. The complexity of modern operating environments presents real challenges to developing equitable and accurate performance metrics. This paper presents literature review and analysis of how mathematical methods utilized and functioned to develop a control factor or dynamic constraint in endeavoring to increase environmental performance of eco-industrial parks. Constrained minimax optimization model is developed to maximize economic gain while minimizing waste in a region within the border where dynamic carrying capacity is maintained stable. Carrying capacity is added in as control factor to increase environmental performance within a boundary or area within which balance of carrying capacity is maintained, in order to increase environmental performance without reducing quality of environment.