工业园区绩效控制的数学方法

Esther S. M. Nababan, Agus Salim Harahap, N. Napitupulu
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引用次数: 0

摘要

稳健可靠的性能指标使管理层能够识别和解决缺陷和控制因素,以提高任何系统的性能。现代操作环境的复杂性对制定公平和准确的性能指标提出了真正的挑战。本文通过文献综述和分析,探讨了数学方法在提高生态工业园区环境绩效中如何发挥控制因素或动态约束的作用。在动态承载力保持稳定的边界区域内,以经济效益最大化、浪费最小化为目标,建立了约束极小最大化优化模型。在保持承载力平衡的边界或区域内,加入承载力作为控制因素,以提高环境绩效,在不降低环境质量的前提下提高环境绩效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical Methods for Controlling the Performance of an Industrial Park
: 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.
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