廢輪胎處理廠區位指派與運送路線選擇之研究

Abstract

近年來，由於台灣地區經濟快速成長，使得車輛數急速增長，再加上目前廢輪胎清除處理制度亦未臻完備，因而產生了許多未處理的廢輪胎。由於廢輪胎的任意堆置常會造成環境衛生問題，並引發如火災等之意外災害，因而許多國家紛紛開始重視因廢輪胎堆置而產生的環境衛生問題；而在另一方面，由於廢輪胎乃是屬於資源性之廢棄物，在經過適當處理及再利用後，可以帶來相當的附加價值。基於以上之原因，相關單位均開始重視此類廢棄物之處理問題。 對於廢輪胎之清除處理問題，過去的研究多偏重在廢輪胎的處理方式上，而對於處理廠的區位以及運送路線的選擇卻沒有給予適當之規劃，再者，此類問題總目標之達成亦具有不確定性。故本研究針對廢輪胎處理廠之區位指派與運送路線選擇問題，以模糊多目標規劃方法作一規劃研究；在處理廠區位指派方面考量營運成本與環境污染問題、在運送路線選擇方面考量運輸成本與對周圍交通之影響，同時對廢輪胎處理廠做區位指派並決定可行之運送路線。而後以桃園縣為例，應用模糊多目標規劃模式，來實際規劃桃園縣境內之廢輪胎處理問題。 經由本研究之規劃結果可以得知，模糊多目標規劃方法可以協助規劃者，對廢輪胎處理廠區位指派與運送路線做一完善之規劃，而此規劃之總目標滿意度為0.62。

Recently, because of the economic growth in Taiwan, the number of the vehicle was increased rapidly. Furthermore, many waste tires untreated were resulted from the incompleteness of the cleaning and treatment of waste tires. Because piling up the waste tires arbitrarily often causes environmental and sanitary problems and brings accidental disasters, many countries begin to value these problems. On the other hand, waste tire is a kind of resource and can bring in fairly added-value by being treated and re-exploited. So related authorities start to attack importance to the management of waste tires. About the cleaning and treatment of waste tires, most researches preferred the treating method but not the proper planning of the location of processing station and transportation routes. And, the achievement level of the goal is uncertain. So fuzzy multi-objective programming method is applied to plan these problems at the same time in this study. Operation cost and environmental pollution are considered when deciding the locations of processing station. And transportation cost and the influence on traffic are considered when choosing the routes. At last, this study cites an example which to deal with the problems of waste tires in Taoyuan by the fuzzy multi-objective planning model. As a result, decision makers can plan the location of processing station and transportation routes properly by fuzzy multi-objective programming method. And the satisfactory degree of the total objectives is 0.62.