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研究生: Winy Fara Nadira
Winy Fara Nadira
論文名稱: 具有時間窗和自送選項的多場站垃圾收集車路線問題
Multi-Depot Waste Collection Vehicle Routing Problem with Time Windows and Self-Delivery Option
指導教授: 喻奉天
Yu Vincent F.
郭伯勳
Po-Hsun Kuo
口試委員: 郭伯勳
Po-Hsun Kuo
林詩偉
Shih-Wei Lin
學位類別: 碩士
Master
系所名稱: 管理學院 - 工業管理系
Department of Industrial Management
論文出版年: 2022
畢業學年度: 110
語文別: 英文
論文頁數: 50
中文關鍵詞: waste managementwaste collection routing problemwaste banksimulated annealing, delivery option
外文關鍵詞: waste management, waste collection routing problem, waste bank, simulated annealing, delivery option
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Almost every activity that human do generates waste. To reduce the waste that keeps increasing due to the change of public consumption and lifestyle, a better waste management is needed. Poor waste management lead to health and environment problems, as well as climate change. As a pioneer of community-based establishment that aims to reduce the amount of recyclable house called Waste Bank Program, the performance of waste bank in Yogyakarta city is still underutilized. To increase community participation in depositing their waste to the waste bank, additional home pick-up service believed to increase community participation in depositing their waste to a waste bank. As the result, a routing plan to visit and collect the resident’s waste is needed.
In this research, we introduced a new extension of VRP called Multi-Depot Waste Collection Vehicle Routing Problem with Time Window and Self Delivery Option (MDWCVRPTW-SDO) to address the problem. There are three types of residents considered in this research, i.e. residents who ask for pick-up service to deposit their waste, residents who drop-off their waste by themselves, and residents who are flexible in terms of two aforementioned methods. A simulated annealing (SA) heuristic is developed in this research to solve the MDWCVRPTW-SDO instances and compare the result with the best-known solution from the previous research. The result shows that the algorithm shows its robustness in terms of solution quality. Sensitivity analysis also conducted in this research where the result shows that the selection of the appropriate compensation policy needs to be carefully thought out since it significantly affects the operational cost of MDWCVRPTW-SDO.


Almost every activity that human do generates waste. To reduce the waste that keeps increasing due to the change of public consumption and lifestyle, a better waste management is needed. Poor waste management lead to health and environment problems, as well as climate change. As a pioneer of community-based establishment that aims to reduce the amount of recyclable house called Waste Bank Program, the performance of waste bank in Yogyakarta city is still underutilized. To increase community participation in depositing their waste to the waste bank, additional home pick-up service believed to increase community participation in depositing their waste to a waste bank. As the result, a routing plan to visit and collect the resident’s waste is needed.
In this research, we introduced a new extension of VRP called Multi-Depot Waste Collection Vehicle Routing Problem with Time Window and Self Delivery Option (MDWCVRPTW-SDO) to address the problem. There are three types of residents considered in this research, i.e. residents who ask for pick-up service to deposit their waste, residents who drop-off their waste by themselves, and residents who are flexible in terms of two aforementioned methods. A simulated annealing (SA) heuristic is developed in this research to solve the MDWCVRPTW-SDO instances and compare the result with the best-known solution from the previous research. The result shows that the algorithm shows its robustness in terms of solution quality. Sensitivity analysis also conducted in this research where the result shows that the selection of the appropriate compensation policy needs to be carefully thought out since it significantly affects the operational cost of MDWCVRPTW-SDO.

ACKNOWLEDGMENT 2 TABLE OF CONTENTS 2 LIST OF FIGURES 2 LIST OF TABLES 2 CHAPTER 1 1 1.1 Background 1 1.2 Research Statement 3 1.3 Limitation and Assumption 4 1.4 Thesis Organization 4 CHAPTER 2 6 2.1 Waste Collection Problem 6 2.2 Vehicle Routing Problem and Delivery Options 8 2.3 Simulated Annealing 11 CHAPTER 3 13 3.1 Problem Description 13 3.2 Problem Assumptions 15 3.3 Mathematical Model 16 3.4 Mathematical Formulation 17 4.5 Data Preparation and Data Generation 19 CHAPTER 4 21 4.1 Solution Representation 21 4.2 Initial Solution 25 4.3 Neighborhood Solution 26 4.4 The Proposed SA Algorithm 27 4.5 Acceptance Criteria 28 CHAPTER 5 29 5.1 Benchmark Instances 29 5.2 Parameter Setting 32 5.3 Result for MDWCVRPTW-SDO Instances 33 5.4 Result for MDWCVRPTW-SDO 34 5.5 Sensitivity Analysis 36 CHAPTER 6 39 6.1 Conclusion 39 6.2 Recommendation for Future Research 39 REFERENCES 41

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