Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, West Bengal, 721302, India.
J Environ Manage. 2019 Jun 15;240:259-265. doi: 10.1016/j.jenvman.2019.03.025. Epub 2019 Apr 2.
In waste management systems, several parameters such as the rate of waste production, disposal facility, treatment cost, and their relations may be uncertain and can influence the associated optimization processes. These uncertainty problems in waste management were addressed by using various inexact programming methods. For example, fuzzy, stochastic programming, and interval programming techniques were generally used for solving the uncertainty-related waste management problems. The analysis revealed that the efficiency of waste management system can be maximized by the proper use of these optimization techniques. In this approach, an uncertainty problem is reduced into several subproblems with sureness by using the minimax regret optimization technique. And these subproblems are focused on a calculation where the lament of not getting the goal is minimized. The analysis also revealed that the fuzzy-stochastic method was increasingly used for dealing with the waste management system uncertainty in recent times. This paper gives an overview of dealing with the uncertainty problems of waste disposal in urban areas. An indication of the solid waste disposal problems and its management in conjunction with the repercussion of the investigation is described. The rationale and setting of the uncertainty issues in proper waste management are detailed. The applications of fuzzy analysis approach and integrated waste management in dealing with the uncertainty problems are presented. The applications of these techniques in diverse case studies worldwide are discussed and finally, the conclusions of the literature analysis are summarized.
在废物管理系统中，有几个参数可能是不确定的，如废物产生率、处置设施、处理成本及其关系，这些参数可能会影响相关的优化过程。这些不确定性问题在废物管理中可以通过使用各种非精确规划方法来解决。例如，模糊、随机规划和区间规划技术通常用于解决与不确定性相关的废物管理问题。分析表明，通过适当使用这些优化技术，可以最大限度地提高废物管理系统的效率。在这种方法中，通过使用极大极小遗憾优化技术，可以将不确定性问题分解为几个具有确定性的子问题。这些子问题集中在一个计算中，即最小化未达到目标的遗憾。分析还表明，近年来，模糊随机方法越来越多地用于处理废物管理系统的不确定性问题。本文概述了处理城市地区废物处置的不确定性问题。说明了固体废物处置问题及其管理，并结合调查的影响进行了描述。详细说明了在适当的废物管理中不确定性问题的基本原理和设置。介绍了模糊分析方法和综合废物管理在处理不确定性问题中的应用。讨论了这些技术在全球不同案例研究中的应用，并最后总结了文献分析的结论。
