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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 工業工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/74260
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dc.contributor.advisor周雍強(Yon Chou)
dc.contributor.authorJheng-Yang Sunen
dc.contributor.author孫震洋zh_TW
dc.date.accessioned2021-06-17T08:26:46Z-
dc.date.available2021-02-22
dc.date.copyright2021-02-22
dc.date.issued2021
dc.date.submitted2021-02-03
dc.identifier.citation[1] Arslan, A. M., Agatz, N., Kroon, L., Zuidwijk, R. (2019). Crowdsourced delivery—A dynamic pickup and delivery problem with ad hoc drivers. Transportation Science, 53(1), 222-235.
[2] Ballare, S., Lin, J. (2018). Preliminary investigation of a crowdsourced package delivery system: A case study. City Logistics 3: Towards Sustainable and Liveable Cities, 109-128. Castillo, Vincent E., et al. 'Crowdsourcing last mile delivery: strategic implications and future research directions.' Journal of Business Logistics 39.1 (2018): 7-25.
[3] Chen, P., Chankov, S. M. (2017, December). Crowdsourced delivery for last-mile distribution: An agent-based modelling and simulation approach. In 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 1271-1275). IEEE.
[4] Dai, H., Liu, P. (2020). Workforce planning for O2O delivery systems with crowdsourced drivers. Annals of Operations Research, 291(1), 219-245.
[5] Howe, J. (2006). The rise of crowdsourcing. Wired magazine, 14(6), 1-4.
[6] Lauterbach, D., Truong, H., Shah, T., Adamic, L. (2009, August). Surfing a web of trust: Reputation and reciprocity on couchsurfing. com. In 2009 International Conference on Computational Science and Engineering (Vol. 4, pp. 346-353). IEEE.
[7] Leung, C., Torshizian, E., Maralani, M., Isack, E. (2020). Economic Impact of Uber Eats: Assessing the impact of Uber Eats on the restaurant sector and the wider New Zealand economy.
[8] Mladenow, A., Bauer, C., Strauss, C. (2015, December). Crowdsourcing in logistics: concepts and applications using the social crowd. In Proceedings of the 17th International Conference on Information Integration and Web-based Applications Services (pp. 1-8).
[9] Richardson, L. (2015). Performing the sharing economy. Geoforum, 67, 121-129.
[10] Schor, J. (2016). Debating the sharing economy. Journal of Self-Governance and Management Economics, 4(3), 7-22.
[11] Seyfang, G. (2004). Time banks: rewarding community self-help in the inner city?. Community Development Journal, 39(1), 62-71.
[12] Womack, J. P. (2005). Lean consumption; Harvard Business Review. http://hbr. org.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/74260-
dc.description.abstract近年來共享經濟的蓬勃發展以及科技的日新月異,眾包平台的送餐模式改變的已往餐廳自顧外送員的習慣。本文觀察到現實生活中眾包送餐平台在特定的尖峰時段往往會產生外送員群聚等待訂餐者取餐的效率低下情形,為了改善此情形本文透過訂餐者、平台、餐廳、眾包外送員四者交織而成的營運流程來思考可改善的方法。本文提供了臨時攤位的流程改善方案,針對實施方案後的改善後流程與改善前流程做比對,找到其改善之價值,並且在以數值模擬作為驗證。提出為何平台不先著手做改善的原因也提出因達成規模化平台有實施動機的可能。zh_TW
dc.description.abstractIn recent years, with the booming development of the sharing economy and the rapid development of technology, the food delivery model of crowdsourcing platforms has changed the behavior of restaurants delivery service. This article observes that in real life, crowdsourcing food delivery platforms often produce inefficient situations in which crowdsourced couriers gather to wait for customers to pick up meals during specific peak hours. In order to improve this situation, this article discuss the relationship between customers, platforms, restaurants, and crowdsourced couriers. The operation process interwoven by the four classes is used to think about ways to improve. This article provides a process improvement plan for the temporary food stand. The improved process after the implementation of the plan is compared with the process before the improvement, and the value of the improvement is found, and numerical simulation is used as verification. Put forward the reasons why the platform does not start to improve first, and also put forward the possibility of implementation motivation due to the large-scale platform.en
dc.description.provenanceMade available in DSpace on 2021-06-17T08:26:46Z (GMT). No. of bitstreams: 1
U0001-2401202111433700.pdf: 3371061 bytes, checksum: 333042acf97b04b9bc43ed93f92ea2e5 (MD5)
Previous issue date: 2021
en
dc.description.tableofcontents口試委員審定書 i
致謝 ii
中文摘要 iii
ABSTRACT iv
目錄 v
圖目錄 vii
表目錄 ix
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機與目的 5
第三節 研究問題 5
第四節 研究流程 6
第二章 文獻回顧 9
第一節 共享經濟的概念 9
第二節 群眾外包的概念 11
第三節 台灣眾包餐飲外送平台之現況 13
第四節 規模經濟 17
第五節 流程精進方法 17
第三章 問題描述與分析 18
第一節 攤位餐車種類 18
第二節 群眾外包送餐流程下送餐者業務週期時間 21
第三節 臨時攤位的設立 24
第四章 模型建構與數值分析 32
第一節 模擬模型建構 32
第二節 數值模擬方法 37
第三節 數值績效指標分析 41
第五章 結論與未來研究方向 55
第一節 回答研究問題 55
第二節 未來研究方向 58
Reference 59
附錄一 61
dc.language.isozh-TW
dc.title群眾外包送餐的流程精進方法-以臨時攤位為例zh_TW
dc.titleA method for improving the crowdsourced delivery process
through temporary food stands
en
dc.typeThesis
dc.date.schoolyear109-1
dc.description.degree碩士
dc.contributor.oralexamcommittee楊烽正(Feng-Cheng Yang),黃奎隆(Kwei-Long Huang),陳曜鴻(Yau-Hung Chen)
dc.subject.keyword群眾外包,共享經濟,流程精進,zh_TW
dc.subject.keywordcrowdsourcing delivery,process improvement,sharing economy,en
dc.relation.page64
dc.identifier.doi10.6342/NTU202100136
dc.rights.note有償授權
dc.date.accepted2021-02-04
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept工業工程學研究所zh_TW
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