Browsing by Author "Lin, Hung-Yueh"

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A Model for the Implementation of a Two-Shift Municipal Solid Waste and Recyclable Material Collection Plan that Offers Greater Convenience to Residents
(2011-01-01)
Lin, Hung-Yueh
;
Tsai, Zong-Pei
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Chen, Guan-Hwa
;
Kao, Jehng-Jung
;
環境工程研究所
Separating recyclables from municipal solid waste (MSW) before collection reduces not only the quantity of MSW that needs to be treated but also the depletion of resources. However, the participation of residents is essential for a successful recycling program, and the level of participation usually depends on the degree of convenience associated with accessing recycling collection points. The residential accessing convenience (RAC) of a collection plan is determined by the proximity of its collection points to all residents and its temporal flexibility in response to resident requirements. The degree of proximity to all residents is determined by using a coverage radius that represents the maximum distance residents need to travel to access a recycling point. The temporal flexibility is assessed by the availability of proximal recycling points at times suitable to the lifestyles of all residents concerned. In Taiwan, the MSW collection is implemented at fixed locations and at fixed times. Residents must deposit their garbage directly into the collection vehicle. To facilitate the assignment of collection vehicles and to encourage residents to thoroughly separate their recyclables, in Taiwan MSW and recyclable materials are usually collected at the same time by different vehicles. A heuristic procedure including an integer programming (IP) model and ant colony optimization (ACO) is explored in this study to determine an efficient two-shift collection plan that takes into account RAC factors. The IP model has been developed to determine convenient collection points in each shift on the basis of proximity, and then the AGO algorithm is applied to determine the most effective routing plan of each shift. With the use of a case study involving a city in Taiwan, this study has demonstrated that collection plans generated using the above procedure are superior to current collection plans on the basis of proximity and total collection distance.
An interactive optimization system for the location of supplementary recycling depots
(2010-08-01)
Lin, Hung-Yueh
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Chen, Guan-Hwa
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Lee, Pei-Hao
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Lin, Chun-Hsu
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環境工程研究所
In order to increase participation in residential recycling, convenient access to recycling depots is essential. Currently, most vendors have established various take-back systems in local retail shops. The integration of the recycling depots established by local authorities with these private facilities can significantly improve access for residents. As a response to this need, an integrated system capable of providing optimization analysis and geographical information system functions has been designed to assist local authorities in identifying the regions where supplementary recycling depots need to be located to improve access to. A customized program which allows online optimization analysis has been developed and embedded in an integrated system. Through a user-friendly interface, users can interactively locate the supplementary depots within the desired regions. The interactive process improves the flexibility of the integrated system and avoids the shortcomings of impractical locations for recycling depots. A case study of battery recycling in central Taiwan is presented to demonstrate the effectiveness of the integrated system. By using the proposed integrated system to analyze the existing conditions, the locations of supplementary points to improve access to the existing regional recycling collection points can be determined. In short, the proposed methodology provides local authorities with an uncomplicated and streamlined system with which to determine the number and locations of supplementary recycling points. (C) 2009 Elsevier B.V. All rights reserved.
Regional optimization model for locating supplemental recycling depots
(2009-05-01)
Lin, Hung-Yueh
;
Chen, Guan-Hwa
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環境工程研究所
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Institute of Environmental Engineering
In Taiwan, vendors and businesses that sell products belonging to six classes of recyclable materials are. required to provide recycling containers at their local retail stores. The integration of these private sector facilities with the recycling depots established by local authorities has the potential to significantly improve residential access to the recycling process. An optimization model is accordingly developed in this work to assist local authorities with the identification of regions that require additional recycling depots for better access and integration with private facilities. Spatial accessibility, population loading and integration efficiency indicators are applied to evaluate whether or not a geographic region is in need of new recycling depots. The program developed here uses a novel algorithm to obtain the optimal solution by a complete enumeration of all cells making up the study area. A case study of a region in Central Taiwan is presented to demonstrate the use of the proposed model and the three indicators. The case study identifies regions without recycling points, prioritizes them based on population density, and considers the option of establishing recycling centers that are able to collect multiple classes of recycling materials. The model is able to generate information suitable for the consideration of decision-makers charged with prioritizing the installation of new recycling facilities. (c) 2008 Elsevier Ltd. All rights reserved.
Subregion districting analysis for municipal solid waste collection privatization
(2008-01-01)
Lin, Hung-Yueh
;
Kao, Jehng-Jung
;
環境工程研究所
;
Institute of Environmental Engineering
Privatization of municipal solid waste (MSW) collection can improve service quality and reduce cost. To reduce the risk of an incapable company serving an entire collection area and to establish a competitive market, a large collection area should be divided into two or more subregions, with each subregion served by a different company. The MSW subregion districting is generally done manually, based on the planner's intuition. Major drawbacks of a manual approach include the creation of a districting plan with poor road network integrity for which it is difficult to design an efficient collection route. The other drawbacks are difficulty in finding the optimal districting plan and the lack of a way to consistently measure the differences among subregions to avoid unfair competition. To determine an MSW collection subregion districting plan, this study presents a mixed-integer optimization model that incorporates factors such as compactness, road network integrity, collection cost, and regional proximity. Two cases are presented to demonstrate the applicability of the proposed model. In both cases, districting plans with good road network integrity and regional proximity have been generated successfully.