按需送餐平台:运营层面的数据和研究机会

Manuf. Serv. Oper. Manag. Pub Date : 2022-05-09 DOI:10.1287/msom.2022.1112

W. Mao, Liu Ming, Ying Rong, Christopher S. Tang, Huan Zheng

{"title":"按需送餐平台:运营层面的数据和研究机会","authors":"W. Mao, Liu Ming, Ying Rong, Christopher S. Tang, Huan Zheng","doi":"10.1287/msom.2022.1112","DOIUrl":null,"url":null,"abstract":"This paper describes the operations of most on-demand meal delivery platforms and discusses how empirical research can improve the operational performance of these platforms. To support and encourage more studies on the operations of on-demand delivery platforms, we provide a unique data set obtained from a meal delivery platform in China. This data set contains operational level data sampled from July 1 to August 31, 2015, in Hangzhou, China. The data set includes information about order placements, order deliveries, restaurants, drivers, weather and traffic conditions, and so on. We also review recent studies on meal delivery platforms and suggest research opportunities for improving delivery performance.","PeriodicalId":18108,"journal":{"name":"Manuf. Serv. Oper. Manag.","volume":"21 1","pages":"2535-2542"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"On-Demand Meal Delivery Platforms: Operational Level Data and Research Opportunities\",\"authors\":\"W. Mao, Liu Ming, Ying Rong, Christopher S. Tang, Huan Zheng\",\"doi\":\"10.1287/msom.2022.1112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the operations of most on-demand meal delivery platforms and discusses how empirical research can improve the operational performance of these platforms. To support and encourage more studies on the operations of on-demand delivery platforms, we provide a unique data set obtained from a meal delivery platform in China. This data set contains operational level data sampled from July 1 to August 31, 2015, in Hangzhou, China. The data set includes information about order placements, order deliveries, restaurants, drivers, weather and traffic conditions, and so on. We also review recent studies on meal delivery platforms and suggest research opportunities for improving delivery performance.\",\"PeriodicalId\":18108,\"journal\":{\"name\":\"Manuf. Serv. Oper. Manag.\",\"volume\":\"21 1\",\"pages\":\"2535-2542\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Manuf. Serv. Oper. Manag.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1287/msom.2022.1112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Manuf. Serv. Oper. Manag.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1287/msom.2022.1112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 4

摘要

本文描述了大多数按需外卖平台的运营情况，并讨论了实证研究如何提高这些平台的运营绩效。为了支持和鼓励更多关于外卖平台运营的研究，我们提供了一组来自中国外卖平台的独特数据。本数据集包含2015年7月1日至8月31日中国杭州的运营层面数据。数据集包括有关订单投放、订单交付、餐馆、司机、天气和交通状况等信息。我们还回顾了最近关于外卖平台的研究，并提出了提高外卖性能的研究机会。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

On-Demand Meal Delivery Platforms: Operational Level Data and Research Opportunities

This paper describes the operations of most on-demand meal delivery platforms and discusses how empirical research can improve the operational performance of these platforms. To support and encourage more studies on the operations of on-demand delivery platforms, we provide a unique data set obtained from a meal delivery platform in China. This data set contains operational level data sampled from July 1 to August 31, 2015, in Hangzhou, China. The data set includes information about order placements, order deliveries, restaurants, drivers, weather and traffic conditions, and so on. We also review recent studies on meal delivery platforms and suggest research opportunities for improving delivery performance.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Manuf. Serv. Oper. Manag.

自引率

0.00%

发文量