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題名 零售商資訊分享下第三方逆物流業者回收處理中心選址模式研究
作者 鄭荏任
Cheng, Jen Jen
貢獻者 林我聰
Lin, Woo Tsong
鄭荏任
Cheng, Jen Jen
關鍵詞 逆物流
第三方逆物流業者
二元邏輯迴歸分析
選址模式
Reverse Logitsitc
Third-Party Logistics Providers
Binary Logistic Regression
Facility Location
日期 2011
上傳時間 30-Oct-2012 11:21:29 (UTC+8)
摘要 逆物流回收的複雜度遠比正向物流高，企業為專注核心價值多半將逆物流活動委外專業物流服務供應商。對第三方逆物流業者而言，選擇適當的回收處理中心位址為其重要核心能力之一，而現今研究對於選址模式中之回收不確定性，大多以歷史資料作為參數，無根據區域特性不同而有所分別。故本研究希望探討在零售商提供資訊的情境下，結合消費者問卷建構廢棄產品的使用年限機率、並以二元迴歸邏輯分析建構回收機率以此預測區域回收數量，透過資訊分享以建立更好的回收處理中心選址設置模式，使第三方逆物流業者可按照此模式選擇最適當的回收點位置與回收處理量安排用以求得利潤最大化。
Since reverse logistics is much more complex than forward logistics, third-party logistics providers are often the prior choice for firms to obtain their core value when a
     reverse logistic activity is needed. For third-party logistics providers, the location is one of their crucial core values; while most of them can only rely on historical data to
     assume the best location, due to the uncertainty of recycling in present studies.Therefore, this paper tries to construct the probability of products’ used-years by
     combining the retailers’ information with consumer-oriented questionnaires. Binary logistic regression is the methodology used to analyze and predict recycling
     probability. By information-sharing the third-party logistics providers will be able to construct a better selecting model for the best facility location, which will reach the
     most suitable recycling quantity to maximize their profits.
參考文獻 1.王立志，2006，系統化運籌與供應鏈管理－企業營運新典範，台北：滄海書局出版社。
     2.丁執宇、黃宗煌，2002，『我國現行廢資訊物回收模式問題探討與建議』，工安環保－工業減廢暨永續發展研討會論文集。
     3.行政院主計總處，2011，『賦稅實徵淨額統計』，www.dgbas.gov.tw/
     4.行政院主計總處，2011，『人口統計』，www.dgbas.gov.tw/
     5.行政院環保署，2011，『行政院環境保護署100年資源回收各項產品回收清除處理費率及補貼費率』，http://recycle.epa.gov.tw/
     6.行政院環保署，2011，『99年及100年公告指定容器類責任業者營業(進口)量相關帳籍憑證查核專案工作計畫』，http://recycle.epa.gov.tw/
     7.李惠卿，2008，多處理廠環境下逆物流最適訂單接受量與處理量之研究，國立政治大學資訊管理學系碩士論文。
     8.吳明隆，2007，SPSS操作與應用問卷統計分析實務，台北：五南圖書出版社。
     9.張淑卿，2002，『台灣地區費電腦回收業市場研究』，輔仁大學應用統計學系在職專班碩士論文。
     10.黃詩彥，1999，企業逆物流之探索研究，東吳大學企業管理研究所碩士論文。
     11.楊文正，2005，廢棄物物流系統規劃之研究，國立成功大學工業與資訊管理研究所碩士論文。
     12.謝成章，2006，綠色供應鏈協同運作策略之研究—以資訊製造業個案公司為例，國立政治大學資訊管理學系碩士論文。
     13.Balderjahn, I., “Personality Variables and Environmental Attitudes as Predictors of Ecologically Responsible Consumption Patterns,” Journal of Business Research, 1988, 17:51–56.
     14.Berkson, J., “Application of the Logistic Function to Bio-assay,” Journal of the American Statistical Association, 9, 1944, pp.357-365.
     15.Biswas, A., Licata, J.W., McKee, D., Pulling, C. and Daughtride, C., “The recycling cycle: an empirical examination of consumer waste recycling and recycling shopping behaviors,” Journal of Public Policy and Marketing, Vol.19 No. 1, 2000, pp. 93-105.
     16.Brito, De M.P. and Dekker, R., “Reverse logistics-a framework,” Econometric Institute Report 290, Erasmus University Rotterdam, Econometric Institute, 2000.
     17.Bo, Y. and Wan, Y., “Tactics on the third party reverse logistics automobile enterprises,” IEEE Computer Society, Wuhan, China, Volume: 1, 2009, pp.154 - 157.
     18.Carter, C.R. and Ellram, L.M., “Reverse logistics: A review of the literature and framework for future investigation,” Journal of Business Logistics, 19:1, 1998, pp.85-102.
     19.Cuieford, J. P., Fundamental Statistics in Psychology & Education.New York:McGraw Hill Compay, 1965.
     20.Cleveland, Mark, Kalamas, Maria and Laroche, Michel, “Shades of green: linking environmental locus of control and pro-environmental behaviors,” The Journal of Consumer Marketing, Vol. 22 Iss: 4, 2005, pp.198 – 212.
     21.Discount Store News., “ Outsourcing: reverse logistics push into high gear,” 1999, 38(6):8–10.
     22.Ferguson, Mark, Guide, V. Daniel R. and Souza, Gilvan C., “Supply Chain Coordination for False Failure Returns,” Manufacturing & Service Operations Management, Vol. 8, No. 4, 2006, pp. 376-393.
     23.Fleischmann, M., Quantitative Models for Reverse Logistics, Springer., 2001.
     24.Fleischmann, M., Bloemhof-Ruwaard J.M., Dekker, R., van der Laan, E.A., van Nunen, J.A.E.E. and van Wassenhove, L.N., “Quantitative models for reverse logistics,” European Journal of Operational Research, 103:1, 1997, pp.1-17.
     25.Gorsuch, R. L., Factor Analysis, Hilllsdale, NJ:Lawrence Erlbaum, 1983.
     26.Guide, V.D.R., Jayaraman, V., Srivastava, R. and Benton, W.C., “Supply-chain management for recoverable manufacturing systems,” Interfaces, 30:3, 2000, pp.125-142.
     27.Hanafi, j, Kara, S. and Kaebernick, H., “Generating Fuzzy Coloured Petri Net Forecasting Model to Predict the Return of Products,” IEEE International Symposium n Electronics and The Environment, Vol. 245-250, 2007, pp.7-10.
     28.Handfield, R. B and Nichols, E. L., Introduction to Supply Chain Management, Prentice Hall Inc, 1999.
     29.Hong, I.H., Assavapokee, T., Ammons, J., Boelkins, C., Gilliam, K., Oudit, D., Realff, M. and Vannicola, J.M., “Planning the e-scrap reverse production system under uncertainty in the state of Georgia: a case study,” IEEE Transactions, 29:3, 2006, pp:150-162.
     30.Jayaraman, V., Patterson, R.A. and Rolland, E., “The design of reverse distribution networks: Models and solution procedures,” European Journal of Operational Research, 150:1, 2003, pp.128-149.
     31.Kang, H. Y. and Schoenung, J. M., “Estimation of future outflows and infrastructure needed to recycle personal computer systems in California,” Journal of Hazardous Materials, Vol. 137, 2006, pp.1165-1174.
     32.Kaiser, H. K., “Little Jiffy, Mark IV.,” Educational and Psychological Measurement, 34, 1970, pp.111-117.
     33.Krumwiede, DW and Sheu, C., “A model for reverse logistics entry by third-party providers,” Omega, vol.30, no.5, 2002, pp.325-333.
     34.Ko, H.J. and Evans, G.W., “A genetic algorithm-based heuristic for the dynamic integrated forward reverse logistics network for 3PLs,” Computers & Operations Research, 34:2, 2007, pp.346-366.
     35.Kouvelis, P. and Yu, G., “Robust Discrete Optimization and Its Applications,” Kluwer Academic Publishers, Dordecht, The Netherlands, 1997.
     36.Lee, D. H. and Dong, M., “A heuristic approach to logistics network design for end-of-lease computer products recovery,” Transportation Research Part E, Vol. 44, 2008, pp. 455-474.
     37.Lee, J.A. and Holden, S.J.S., “Understanding the determinants of environmentally conscious behavior,” Psychology and Marketing, Vol.16, No.5, 1999, pp.373-392.
     38.Louwers, D., Kip, B.J., Peters, E., Souren, F. and Flappe, S.D.P., “A facility location allocation model for reusing carpet materials”, Computers & Industrial Engineering, 36:2, 1999, pp.855-869.
     39.Lummus, RR., Krumwiede, DW. and Vokurka, RJ., “The relationship of logistics to supply chain management: developing a common industry definition,” Industrial Management and Data Systems, 2001, 101(8):426–31.
     40.Masui, K., “Calculation of amount of discarded end-of-life products by using multi-regression analysis,” Environmentally Conscious Design and Inverse Manufacturing, 2005, pp.624-625.
     41.Mcmillen, A., “Separation and collection system,” In McGraw-Hill Recycling Handbook: H. Lund, (Ed.)., McGraw-Hill Publishers, New York., 2001.
     42.Ölander, Folke and ThØgersen, John, “Understanding of consumer behaviour as a prerequisite for environmental protection,” Journal of Consumer Policy, 1995, 18:345-385.
     43.Rogers, Dale S. and Tibben-Lembke, Ronald, Going Backwards: Reverse Logistics Trends and Practices., 1999.
     44.Sahyouni, Kristin, Savaskan, R. Canan and Daskin, Mark S., “A Facility Location Model for Bidirectional Flows,” Transportation science , Vol. 41, No. 4, 2007, pp.484-499.
     45.Stock, J. R., “Reverse Logistics,” Oak Brook, IL: Council of Logistics Management, 1992.
     46.Shih, L.H., “Reverse logistics system planning for recycling electrical appliances and computers in Taiwan,” Resources, Conservation and Recycling, 32:1, 2001, pp.55-72.
     47.Thierry, M.C., Salomon, M., Van Nunen, J., and Van Wassenhove, L.N., “Strategic issues in product recovery management,” California Management Review. Berkeley, 37:2, 1998, pp.114.
     48.Walls, Margaret and Palmer, Karen, “Upstream Pollution, Downstream Waste Disposal, and the Design of Comprehensive Environmental Policies,” Journal of Environmental Economics and Management, Vol.41-1, 2001, pp.94-108.
     49.Zarei, M., Mansour, S., Husseinzadeh kashan, A. and Karimi, B., “Designing a Reverse Logistics Network for End-of-Life Vehicles Recovery,” Mathematical Problems in Engineering, 10.1155, 2010, pp.1-16.
     50.Zhang, Y., Xie, L., Hang, W. and Cui, X., “A robust model for 3PLS to design a remanufacturing logistics network under the uncertain Environment”, Automation and Logistics, IEEE International Conference, 2007.
描述 碩士
國立政治大學
資訊管理研究所
99356034
100
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0099356034
資料類型 thesis
dc.contributor.advisor 林我聰zh_TW
dc.contributor.advisor Lin, Woo Tsongen_US
dc.contributor.author (Authors) 鄭荏任zh_TW
dc.contributor.author (Authors) Cheng, Jen Jenen_US
dc.creator (作者) 鄭荏任zh_TW
dc.creator (作者) Cheng, Jen Jenen_US
dc.date (日期) 2011en_US
dc.date.accessioned 30-Oct-2012 11:21:29 (UTC+8)-
dc.date.available 30-Oct-2012 11:21:29 (UTC+8)-
dc.date.issued (上傳時間) 30-Oct-2012 11:21:29 (UTC+8)-
dc.identifier (Other Identifiers) G0099356034en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/54576-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊管理研究所zh_TW
dc.description (描述) 99356034zh_TW
dc.description (描述) 100zh_TW
dc.description.abstract (摘要) 逆物流回收的複雜度遠比正向物流高，企業為專注核心價值多半將逆物流活動委外專業物流服務供應商。對第三方逆物流業者而言，選擇適當的回收處理中心位址為其重要核心能力之一，而現今研究對於選址模式中之回收不確定性，大多以歷史資料作為參數，無根據區域特性不同而有所分別。故本研究希望探討在零售商提供資訊的情境下，結合消費者問卷建構廢棄產品的使用年限機率、並以二元迴歸邏輯分析建構回收機率以此預測區域回收數量，透過資訊分享以建立更好的回收處理中心選址設置模式，使第三方逆物流業者可按照此模式選擇最適當的回收點位置與回收處理量安排用以求得利潤最大化。zh_TW
dc.description.abstract (摘要) Since reverse logistics is much more complex than forward logistics, third-party logistics providers are often the prior choice for firms to obtain their core value when a
     reverse logistic activity is needed. For third-party logistics providers, the location is one of their crucial core values; while most of them can only rely on historical data to
     assume the best location, due to the uncertainty of recycling in present studies.Therefore, this paper tries to construct the probability of products’ used-years by
     combining the retailers’ information with consumer-oriented questionnaires. Binary logistic regression is the methodology used to analyze and predict recycling
     probability. By information-sharing the third-party logistics providers will be able to construct a better selecting model for the best facility location, which will reach the
     most suitable recycling quantity to maximize their profits.		en_US
dc.description.tableofcontents 第一章、緒論 1
     1.1研究背景 1
     1.2研究動機 2
     1.3研究目的 2
     1.4研究架構 3
     1.5研究流程 3
     第貳章、文獻探討 4
     2.1逆物流定義 4
     2.2逆物流的類別 4
     2.3回收的不確定性 6
     2.4逆物流下第三方物流業者 7
     2.5影響消費者回收因素 9
     2.6回收點選址模式 11
     2.7不確定性因素預測方法 15
     第參章、選址模式建立 18
     3.1研究流程 18
     3.2回收數量預測 20
     3.2.1問卷設計 21
     3.2.2資料分析方法 21
     3.2.3信、效度分析 22
     3.2.4KMO與Bartlett球形檢定 23
     3.2.5廢棄資訊產品回收數量推估 23
     3.2.6廢棄資訊產品使用年限機率 23
     3.2.7廢棄資訊產品回收機率 24
     3.2.8回收數量推估 25
     3.3回收處理中心選址模式 27
     3.3.1模式基本假設 27
     3.3.2模式符號說明 29
     3.3.3模式說明 31
     第肆章、模式計算與分析 34
     4.1消費者回收意願問卷分析與計算 34
     4.1.1使用年限機率計算 34
     4.1.2回收機率計算 35
     4.1.3預測回收數量計算 39
     4.2選址模式計算 40
     4.2.1模式輸入參數 40
     4.2.2模式計算流程 45
     4.2.3模式計算結果及驗證 47
     第伍章、結論與建議 55
     5.1研究結論 55
     5.2研究限制 55
     5.3未來研究方向 56
     參考文獻 57
     附錄一 61
     附錄二 64		zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0099356034en_US
dc.subject (關鍵詞) 逆物流zh_TW
dc.subject (關鍵詞) 第三方逆物流業者zh_TW
dc.subject (關鍵詞) 二元邏輯迴歸分析zh_TW
dc.subject (關鍵詞) 選址模式zh_TW
dc.subject (關鍵詞) Reverse Logitsitcen_US
dc.subject (關鍵詞) Third-Party Logistics Providersen_US
dc.subject (關鍵詞) Binary Logistic Regressionen_US
dc.subject (關鍵詞) Facility Locationen_US
dc.title (題名) 零售商資訊分享下第三方逆物流業者回收處理中心選址模式研究zh_TW
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 1.王立志，2006，系統化運籌與供應鏈管理－企業營運新典範，台北：滄海書局出版社。
     2.丁執宇、黃宗煌，2002，『我國現行廢資訊物回收模式問題探討與建議』，工安環保－工業減廢暨永續發展研討會論文集。
     3.行政院主計總處，2011，『賦稅實徵淨額統計』，www.dgbas.gov.tw/
     4.行政院主計總處，2011，『人口統計』，www.dgbas.gov.tw/
     5.行政院環保署，2011，『行政院環境保護署100年資源回收各項產品回收清除處理費率及補貼費率』，http://recycle.epa.gov.tw/
     6.行政院環保署，2011，『99年及100年公告指定容器類責任業者營業(進口)量相關帳籍憑證查核專案工作計畫』，http://recycle.epa.gov.tw/
     7.李惠卿，2008，多處理廠環境下逆物流最適訂單接受量與處理量之研究，國立政治大學資訊管理學系碩士論文。
     8.吳明隆，2007，SPSS操作與應用問卷統計分析實務，台北：五南圖書出版社。
     9.張淑卿，2002，『台灣地區費電腦回收業市場研究』，輔仁大學應用統計學系在職專班碩士論文。
     10.黃詩彥，1999，企業逆物流之探索研究，東吳大學企業管理研究所碩士論文。
     11.楊文正，2005，廢棄物物流系統規劃之研究，國立成功大學工業與資訊管理研究所碩士論文。
     12.謝成章，2006，綠色供應鏈協同運作策略之研究—以資訊製造業個案公司為例，國立政治大學資訊管理學系碩士論文。
     13.Balderjahn, I., “Personality Variables and Environmental Attitudes as Predictors of Ecologically Responsible Consumption Patterns,” Journal of Business Research, 1988, 17:51–56.
     14.Berkson, J., “Application of the Logistic Function to Bio-assay,” Journal of the American Statistical Association, 9, 1944, pp.357-365.
     15.Biswas, A., Licata, J.W., McKee, D., Pulling, C. and Daughtride, C., “The recycling cycle: an empirical examination of consumer waste recycling and recycling shopping behaviors,” Journal of Public Policy and Marketing, Vol.19 No. 1, 2000, pp. 93-105.
     16.Brito, De M.P. and Dekker, R., “Reverse logistics-a framework,” Econometric Institute Report 290, Erasmus University Rotterdam, Econometric Institute, 2000.
     17.Bo, Y. and Wan, Y., “Tactics on the third party reverse logistics automobile enterprises,” IEEE Computer Society, Wuhan, China, Volume: 1, 2009, pp.154 - 157.
     18.Carter, C.R. and Ellram, L.M., “Reverse logistics: A review of the literature and framework for future investigation,” Journal of Business Logistics, 19:1, 1998, pp.85-102.
     19.Cuieford, J. P., Fundamental Statistics in Psychology & Education.New York:McGraw Hill Compay, 1965.
     20.Cleveland, Mark, Kalamas, Maria and Laroche, Michel, “Shades of green: linking environmental locus of control and pro-environmental behaviors,” The Journal of Consumer Marketing, Vol. 22 Iss: 4, 2005, pp.198 – 212.
     21.Discount Store News., “ Outsourcing: reverse logistics push into high gear,” 1999, 38(6):8–10.
     22.Ferguson, Mark, Guide, V. Daniel R. and Souza, Gilvan C., “Supply Chain Coordination for False Failure Returns,” Manufacturing & Service Operations Management, Vol. 8, No. 4, 2006, pp. 376-393.
     23.Fleischmann, M., Quantitative Models for Reverse Logistics, Springer., 2001.
     24.Fleischmann, M., Bloemhof-Ruwaard J.M., Dekker, R., van der Laan, E.A., van Nunen, J.A.E.E. and van Wassenhove, L.N., “Quantitative models for reverse logistics,” European Journal of Operational Research, 103:1, 1997, pp.1-17.
     25.Gorsuch, R. L., Factor Analysis, Hilllsdale, NJ:Lawrence Erlbaum, 1983.
     26.Guide, V.D.R., Jayaraman, V., Srivastava, R. and Benton, W.C., “Supply-chain management for recoverable manufacturing systems,” Interfaces, 30:3, 2000, pp.125-142.
     27.Hanafi, j, Kara, S. and Kaebernick, H., “Generating Fuzzy Coloured Petri Net Forecasting Model to Predict the Return of Products,” IEEE International Symposium n Electronics and The Environment, Vol. 245-250, 2007, pp.7-10.
     28.Handfield, R. B and Nichols, E. L., Introduction to Supply Chain Management, Prentice Hall Inc, 1999.
     29.Hong, I.H., Assavapokee, T., Ammons, J., Boelkins, C., Gilliam, K., Oudit, D., Realff, M. and Vannicola, J.M., “Planning the e-scrap reverse production system under uncertainty in the state of Georgia: a case study,” IEEE Transactions, 29:3, 2006, pp:150-162.
     30.Jayaraman, V., Patterson, R.A. and Rolland, E., “The design of reverse distribution networks: Models and solution procedures,” European Journal of Operational Research, 150:1, 2003, pp.128-149.
     31.Kang, H. Y. and Schoenung, J. M., “Estimation of future outflows and infrastructure needed to recycle personal computer systems in California,” Journal of Hazardous Materials, Vol. 137, 2006, pp.1165-1174.
     32.Kaiser, H. K., “Little Jiffy, Mark IV.,” Educational and Psychological Measurement, 34, 1970, pp.111-117.
     33.Krumwiede, DW and Sheu, C., “A model for reverse logistics entry by third-party providers,” Omega, vol.30, no.5, 2002, pp.325-333.
     34.Ko, H.J. and Evans, G.W., “A genetic algorithm-based heuristic for the dynamic integrated forward reverse logistics network for 3PLs,” Computers & Operations Research, 34:2, 2007, pp.346-366.
     35.Kouvelis, P. and Yu, G., “Robust Discrete Optimization and Its Applications,” Kluwer Academic Publishers, Dordecht, The Netherlands, 1997.
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