Department of Statistics, School of Science, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand.
Thammasat University Research Unit in Industrial Statistics and Operational Research, Department of Industrial Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathumthani, Thailand.
J Air Waste Manag Assoc. 2022 Oct;72(10):1121-1136. doi: 10.1080/10962247.2022.2110993. Epub 2022 Aug 22.
This study proposed a decision support system (DSS) for optimizing transportation routing and disposal hub location for Thailand's local administrative organizations' hazardous waste management. The first step is to choose the origin and destination, as well as to collect data for each route. Each route's decision criteria were based on traffic quality and risk measures from the perspective of users. An analytic hierarchy process (AHP) was used to compute effective weights for decision criteria. To achieve optimal routing, AHP weights were combined with a zero-one goal programming technique. The DSS operates systematically and successfully, taking into account both transportation risk and socioeconomic factors, and provides appropriate routes. Overall, this waste management system may provide useful information to decision-makers for prioritizing disposal site alternatives and implementing feasible waste management actions. The zero-one location design was then used to determine the best hub location. Based on two scenarios of six and fifteen CoG hubs, the results revealed that the best model for managing a case company's hazardous waste was to establish 15 hubs scattered throughout the country for collecting points and then transporting them to the waste disposal plant in Phitsanulok province. Locating the hub near sink points would reduce transportation costs and backhaul issues, reducing the environmental impact of GHG emissions and increasing system efficiency. The problem of waste pollution has become increasingly serious all over the world, particularly in developing countries that face significant pollution control challenges. End-of-life wastes cause economic, health, and environmental problems if they are not properly managed. As the world's population and living standards rise, so does the amount of waste produced. The environmental impact is significant, with massive amounts of waste generated each year with only basic or minimal treatment to mitigate its impact. As a result, there is an urgent need for a method that can precisely optimize transportation routing and disposal hub location for Thailand's local administrative organizations' hazardous waste management (LAOs). The proposed decision support system (DSS) may provide useful information to decision-makers in prioritizing disposal site alternatives and implementing feasible waste management actions.
本研究提出了一个决策支持系统（DSS），用于优化泰国地方行政组织危险废物管理的运输路线和处置中心选址。第一步是选择起点和终点，并收集每条路线的数据。每条路线的决策标准都基于用户视角的交通质量和风险措施。层次分析法（AHP）用于计算决策标准的有效权重。为了实现最优路线，AHP 权重与零一目标规划技术相结合。该 DSS 系统地运行，并成功考虑了运输风险和社会经济因素，提供了合适的路线。总的来说，这个废物管理系统可能为决策者提供有用的信息，以便优先考虑处置场替代方案并实施可行的废物管理措施。然后使用零一位置设计来确定最佳枢纽位置。基于六个和十五个 CoG 枢纽的两种情况，结果表明，管理案例公司危险废物的最佳模型是在全国范围内建立 15 个枢纽，用于收集点，然后将其运往碧差汶府的废物处理厂。将枢纽靠近汇流点定位可以降低运输成本和回程问题，减少温室气体排放的环境影响并提高系统效率。废物污染问题在全球范围内变得越来越严重，特别是在面临重大污染控制挑战的发展中国家。如果不妥善管理，危险废物会导致经济、健康和环境问题。随着世界人口和生活水平的提高，产生的废物量也在增加。其环境影响是巨大的，每年都会产生大量的废物，只有基本或最低限度的处理来减轻其影响。因此，迫切需要一种方法来精确优化泰国地方行政组织危险废物管理（LAOs）的运输路线和处置中心选址。所提出的决策支持系统（DSS）可能为决策者提供有用的信息，以便在优先考虑处置场替代方案和实施可行的废物管理措施方面做出决策。
