发布求助
文献互助 智能选刊 最新文献

INFORMS Journal on Applied Analytics最新文献

筛选
英文 中文
Amazon Locker Capacity Management 亚马逊储物柜容量管理
INFORMS Journal on Applied Analytics Pub Date : 2024-03-29 DOI: 10.1287/inte.2023.0005
Samyukta Sethuraman, Ankur Bansal, Setareh Mardan, Mauricio G. C. Resende, Timothy L. Jacobs
{"title":"Amazon Locker Capacity Management","authors":"Samyukta Sethuraman, Ankur Bansal, Setareh Mardan, Mauricio G. C. Resende, Timothy L. Jacobs","doi":"10.1287/inte.2023.0005","DOIUrl":"https://doi.org/10.1287/inte.2023.0005","url":null,"abstract":"Amazon Locker is a self-service delivery or pickup location where customers can pick up packages and drop off returns. A basic first-come-first-served policy for accepting package delivery requests to lockers results in lockers becoming full with standard shipping speed (3- to 5-day shipping) packages, leaving no space for expedited packages, which are mostly next-day or two-day shipping. This paper proposes a solution to the problem of determining how much locker capacity to reserve for different ship-option packages. Yield management is a much-researched field with popular applications in the airline, car rental, and hotel industries. However, Amazon Locker poses a unique challenge in this field because the number of days a package will wait in a locker (package dwell time) is, in general, unknown. The proposed solution combines machine learning techniques to predict locker demand and package dwell time with linear programming to maximize throughput in lockers. The decision variables from this optimization provide optimal capacity reservation values for different ship options. This resulted in a year-over-year increase of 9% in Locker throughput worldwide during the holiday season of 2018, impacting millions of customers. History: This paper was refereed.","PeriodicalId":510763,"journal":{"name":"INFORMS Journal on Applied Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140364862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reducing Hospital Readmission Risk Using Predictive Analytics 利用预测分析降低再住院风险
INFORMS Journal on Applied Analytics Pub Date : 2024-03-15 DOI: 10.1287/inte.2022.0086
Arti Mann, Ben Cleveland, Dan Bumblauskas, Shashidhar Kaparthi
{"title":"Reducing Hospital Readmission Risk Using Predictive Analytics","authors":"Arti Mann, Ben Cleveland, Dan Bumblauskas, Shashidhar Kaparthi","doi":"10.1287/inte.2022.0086","DOIUrl":"https://doi.org/10.1287/inte.2022.0086","url":null,"abstract":"This study highlights the development and application of a predictive analytics system in a Midwestern hospital to assess and manage the risk of patient readmissions within 30 days of discharge. By integrating advanced analytical modeling with electronic health records, the system enables the creation of personalized care plans by accurately predicting patients' readmission risks and the optimal timing for interventions. The results suggest that such models can significantly improve resource allocation and the personalization of care plans, thereby reducing unnecessary readmissions and aligning with value-based, patient-centered healthcare goals.","PeriodicalId":510763,"journal":{"name":"INFORMS Journal on Applied Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140239749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improving South Korea’s Crystal Ball for Baseball Postseason Clinching and Elimination 改进韩国棒球季后赛锁定胜局和淘汰出局的水晶球
INFORMS Journal on Applied Analytics Pub Date : 2024-01-30 DOI: 10.1287/inte.2023.0035
Sam Sung Ho Kim, M. Husted, Eli V. Olinick, Alexandra Newman
{"title":"Improving South Korea’s Crystal Ball for Baseball Postseason Clinching and Elimination","authors":"Sam Sung Ho Kim, M. Husted, Eli V. Olinick, Alexandra Newman","doi":"10.1287/inte.2023.0035","DOIUrl":"https://doi.org/10.1287/inte.2023.0035","url":null,"abstract":"We develop mathematical programming models to calculate enhanced “magic numbers” for determining playoff elimination and clinches in the Korean Baseball Organization. These magic numbers are disseminated on a website for fans seeking accurate updates on their team’s postseason prospects. The website has received attention from Korean sports writers and fans alike.","PeriodicalId":510763,"journal":{"name":"INFORMS Journal on Applied Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140480929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Supercharged by Advanced Analytics, JD.com Attains Agility, Resilience, and Shared Value Across Its Supply Chain 借助先进的分析技术，JD.com 实现了整个供应链的敏捷性、应变能力和共享价值
INFORMS Journal on Applied Analytics Pub Date : 2024-01-01 DOI: 10.1287/inte.2023.0078
Hao Hu, Yongzhi Qi, Hau L. Lee, Zuo-Jun Max Shen, Curtis Liu, Weimeng Zhu, Ningxuan Kang
{"title":"Supercharged by Advanced Analytics, JD.com Attains Agility, Resilience, and Shared Value Across Its Supply Chain","authors":"Hao Hu, Yongzhi Qi, Hau L. Lee, Zuo-Jun Max Shen, Curtis Liu, Weimeng Zhu, Ningxuan Kang","doi":"10.1287/inte.2023.0078","DOIUrl":"https://doi.org/10.1287/inte.2023.0078","url":null,"abstract":"JD.com utilizes advanced analytical techniques to strengthen its supply chain capability. The end-to-end inventory management model, intelligent risk management system and consumer-to-manufacturer system are implemented to attain agility, resilience and shared value. These efforts have led to significant revenue increases, cost savings, and value creation across the retail ecosystem, benefiting consumers and business partners.","PeriodicalId":510763,"journal":{"name":"INFORMS Journal on Applied Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140523206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Huawei Cloud Adopts Operations Research for Live Streaming Services to Save Network Bandwidth Cost: The GSCO System 华为云采用运维研究为直播服务节省网络带宽成本：GSCO 系统
INFORMS Journal on Applied Analytics Pub Date : 2024-01-01 DOI: 10.1287/inte.2023.0079
Xiaoming Yuan, Pengxiang Zhao, Hanyu Hu, Jintao You, Changpeng Yang, Wen Peng, Yonghong Kang, K. M. Teo
{"title":"Huawei Cloud Adopts Operations Research for Live Streaming Services to Save Network Bandwidth Cost: The GSCO System","authors":"Xiaoming Yuan, Pengxiang Zhao, Hanyu Hu, Jintao You, Changpeng Yang, Wen Peng, Yonghong Kang, K. M. Teo","doi":"10.1287/inte.2023.0079","DOIUrl":"https://doi.org/10.1287/inte.2023.0079","url":null,"abstract":"The rapid evolution of cloud computing technologies has instigated a paradigm shift across various traditional industries, with the live streaming sector standing as a compelling exemplification of this transformation. Huawei Cloud, which has become an influential player in the business-to-business live streaming arena, with its services spanning over 60 countries since 2020, is at the forefront of this shift. Amid the flourishing live streaming market, Huawei Cloud faces the dual challenge of satisfying the escalating demand, while managing the mounting operational costs, predominantly associated with the network bandwidth. To offer premium services while minimizing the bandwidth cost, we developed a dynamic traffic allocation system called GSCO. This system was engineered using an array of operations research methodologies such as continuous optimization, integer programming, graph theory, scheduling, and network-flow problem solving, along with state-of-the-art machine learning algorithms. The GSCO system has been proven highly effective in cost optimization, reducing network bandwidth expenses by about 30% and leading to savings exceeding $49.6 million from Q1 2020 to Q3 2022. In addition, it has significantly bolstered Huawei Cloud’s market share, amplifying peak bandwidth from an initial 1.5 terabits per second (Tbps) to a substantial 16 Tbps.","PeriodicalId":510763,"journal":{"name":"INFORMS Journal on Applied Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140527023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Innovative Integer Programming Software and Methods for Large-Scale Routing at DHL Supply Chain 用于 DHL 供应链大规模路由选择的创新整数编程软件和方法
INFORMS Journal on Applied Analytics Pub Date : 2024-01-01 DOI: 10.1287/inte.2023.0087
Yibo Dang, Theodore T. Allen, Manjeet Singh, Jason Gillespie, Jon Cox, James Monkmeyer
{"title":"Innovative Integer Programming Software and Methods for Large-Scale Routing at DHL Supply Chain","authors":"Yibo Dang, Theodore T. Allen, Manjeet Singh, Jason Gillespie, Jon Cox, James Monkmeyer","doi":"10.1287/inte.2023.0087","DOIUrl":"https://doi.org/10.1287/inte.2023.0087","url":null,"abstract":"DHL Supply Chain North America helped by the Ohio State University developed and implemented a suite of software called the Transportation Network Optimizer. The four modules relate to the same large scale vehicle routing integer programming including outsourcing. The software helped DHL save over $116M through improved bidding and outsourcing by reducing fuel and personnel costs.","PeriodicalId":510763,"journal":{"name":"INFORMS Journal on Applied Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140517517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Introduction: 2023 Franz Edelman Award for Achievement in Advanced Analytics, Operations Research, and Management Science 导言：2023 年弗朗兹-埃德尔曼高级分析、运筹学和管理科学成就奖
INFORMS Journal on Applied Analytics Pub Date : 2024-01-01 DOI: 10.1287/inte.2023.intro.v54.n1
Rajesh Tyagi, Pelin Pekgün
{"title":"Introduction: 2023 Franz Edelman Award for Achievement in Advanced Analytics, Operations Research, and Management Science","authors":"Rajesh Tyagi, Pelin Pekgün","doi":"10.1287/inte.2023.intro.v54.n1","DOIUrl":"https://doi.org/10.1287/inte.2023.intro.v54.n1","url":null,"abstract":"This special issue of the INFORMS Journal on Applied Analytics (formerly Interfaces) is devoted to the finalists of the 53rd annual competition for the Franz Edelman Award for Achievement in Advanced Analytics, Operations Research, and Management Science, the profession’s most prestigious award for deployed work. As in previous years, the finalists this year cover a wide range of industries and functions.","PeriodicalId":510763,"journal":{"name":"INFORMS Journal on Applied Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140523025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Meituan’s Real-Time Intelligent Dispatching Algorithms Build the World’s Largest Minute-Level Delivery Network 美团的实时智能调度算法构建了全球最大的分钟级配送网络
INFORMS Journal on Applied Analytics Pub Date : 2024-01-01 DOI: 10.1287/inte.2023.0084
Yile Liang, Haocheng Luo, Haining Duan, Donghui Li, Hongsen Liao, Jie Feng, Jiuxia Zhao, Hao Ren, Xuetao Ding, Ying Cha, Qingte Zhou, Chenqi Situ, Jinghua Hao, Ke Xing, Feifan Yin, Renqing He, Yang Sun, Yueqiang Zheng, Yipeng Feng, Zhizhao Sun, Jingfang Chen, J. Zheng, Ling Wang
{"title":"Meituan’s Real-Time Intelligent Dispatching Algorithms Build the World’s Largest Minute-Level Delivery Network","authors":"Yile Liang, Haocheng Luo, Haining Duan, Donghui Li, Hongsen Liao, Jie Feng, Jiuxia Zhao, Hao Ren, Xuetao Ding, Ying Cha, Qingte Zhou, Chenqi Situ, Jinghua Hao, Ke Xing, Feifan Yin, Renqing He, Yang Sun, Yueqiang Zheng, Yipeng Feng, Zhizhao Sun, Jingfang Chen, J. Zheng, Ling Wang","doi":"10.1287/inte.2023.0084","DOIUrl":"https://doi.org/10.1287/inte.2023.0084","url":null,"abstract":"Over the past decade, Meituan, China’s premier online food delivery (OFD) platform, has witnessed remarkable growth. Central to this expansion is its state-of-the-art real-time intelligent dispatch system. This advanced system harnesses the power of operations research and machine learning algorithms to fine-tune order assignments, simultaneously addressing the needs of consumers, couriers, merchants, and the platform itself.","PeriodicalId":510763,"journal":{"name":"INFORMS Journal on Applied Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140520921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimizing Walmart’s Supply Chain from Strategy to Execution 从战略到执行优化沃尔玛供应链
INFORMS Journal on Applied Analytics Pub Date : 2024-01-01 DOI: 10.1287/inte.2023.0093
Prakhar Mehrotra, Mingang Fu, Jing Huang, Sai Rajesh Mahabhashyam, Minghui Liu, Ming (Arthur) Yang, Xiaojie Wang, Joseph Hendricks, Ranjith Moola, Daniel Morland, Kim Krozier, Tiantian Nie, Ou Sun, Fereydoun Adbesh, Ti Zhang, Monika Shrivastav, Jiefeng Xu, Sudarshan Rajan, Michael Turner, Samuel Tucker, Megan D. Jones, Fei Xiao, Ankush Bhargava, Deepak Deshpande, Shwetal Mokashi, Travis Johnson, Chandramouli Raman, Megan Ferguson, Mike Keller, Scott Donahue, Rajiv Bhutta, Mohan Akella, Parvez Musani, Srinivasan Venkatesan, David Guggina, John Furner
{"title":"Optimizing Walmart’s Supply Chain from Strategy to Execution","authors":"Prakhar Mehrotra, Mingang Fu, Jing Huang, Sai Rajesh Mahabhashyam, Minghui Liu, Ming (Arthur) Yang, Xiaojie Wang, Joseph Hendricks, Ranjith Moola, Daniel Morland, Kim Krozier, Tiantian Nie, Ou Sun, Fereydoun Adbesh, Ti Zhang, Monika Shrivastav, Jiefeng Xu, Sudarshan Rajan, Michael Turner, Samuel Tucker, Megan D. Jones, Fei Xiao, Ankush Bhargava, Deepak Deshpande, Shwetal Mokashi, Travis Johnson, Chandramouli Raman, Megan Ferguson, Mike Keller, Scott Donahue, Rajiv Bhutta, Mohan Akella, Parvez Musani, Srinivasan Venkatesan, David Guggina, John Furner","doi":"10.1287/inte.2023.0093","DOIUrl":"https://doi.org/10.1287/inte.2023.0093","url":null,"abstract":"Walmart built end to end optimization capabilities in its supply chain to make strategic and operational decisions consisting of network planning and transformation, routing and loading systems and a simulation platform. This optimization-empowered decision framework is evolving and transforming Walmart’s supply chain while keeping its Every-Day-Low-Price (EDLP) promise to its customers.","PeriodicalId":510763,"journal":{"name":"INFORMS Journal on Applied Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140523341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Identifying Popular Products at an Early Stage of Sales Season for Apparel Industry 服装业在销售旺季初期识别流行产品
INFORMS Journal on Applied Analytics Pub Date : 2023-12-29 DOI: 10.1287/inte.2023.0022
Jiayun Wang, Shanshan Wu, Qingwei Jin, Yijun Wang, Can Chen
{"title":"Identifying Popular Products at an Early Stage of Sales Season for Apparel Industry","authors":"Jiayun Wang, Shanshan Wu, Qingwei Jin, Yijun Wang, Can Chen","doi":"10.1287/inte.2023.0022","DOIUrl":"https://doi.org/10.1287/inte.2023.0022","url":null,"abstract":"The early phase of launching a new apparel product is critical for gaining insights of its performance and classifying it into different categories such as fast selling, average selling, and slow selling. We propose a new ranking-based method to identify the product popularity that predicts regional and national rankings of products based on sales data at an early stage of a sales season. Our method enables companies to efficiently identify popular products within a remarkably short span of two to four weeks.","PeriodicalId":510763,"journal":{"name":"INFORMS Journal on Applied Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139147283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信