INFORMS J. Appl. Anal.最新文献_第2页

AI-Based Real-Time Site-Wide Optimization for Process Manufacturing 基于人工智能的过程制造实时现场优化

INFORMS J. Appl. Anal. Pub Date : 2022-06-22 DOI: 10.1287/inte.2022.1121

J. Kalagnanam, D. Phan, Pavankumar Murali, Lam M. Nguyen, Nianjun Zhou, D. Subramanian, Raju Pavuluri, Xiang-Qi Ma, C. Lui, Giovane Cesar da Silva

{"title":"AI-Based Real-Time Site-Wide Optimization for Process Manufacturing","authors":"J. Kalagnanam, D. Phan, Pavankumar Murali, Lam M. Nguyen, Nianjun Zhou, D. Subramanian, Raju Pavuluri, Xiang-Qi Ma, C. Lui, Giovane Cesar da Silva","doi":"10.1287/inte.2022.1121","DOIUrl":"https://doi.org/10.1287/inte.2022.1121","url":null,"abstract":"In this paper, we propose a site-wide lead advisor, which is an artificial intelligence–based prediction and set-point recommendation engine, by combining the use of machine learning with optimization techniques. It provides operational set-point recommendations to continuously improve site-wide operations for throughput measured in additional barrels of oil produced per day. A key contribution and differentiator is the utilization of sensor data to continuously learn the behavior of all the subsystems of an oil-producing plant and use this within an optimization framework to provide advisory control in near real time. This is novel in that it does not require a model of the plant to be provided as input. The predictive model is learned automatically and continuously from data. This work required the development of a new prediction-optimization modeling framework that optimizes throughput while staying in the vicinity of the historical process behavior and employing the model’s structure in designing algorithms to solve it. This solution has been deployed at Suncor Energy, an oil-sands company, since January 2019 and is estimated to generate business value in the order of tens of millions of dollars per year. The generalized approach of this framework lends it the ability to be applied to any processing or manufacturing plant.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121081111","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: 2

Operations Research Helps the Optimal Bidding of Virtual Power Plants 运筹学有助于虚拟电厂的最优报价

INFORMS J. Appl. Anal. Pub Date : 2022-06-22 DOI: 10.1287/inte.2022.1120

Daehong Kim, Hyungkyu Cheon, D. Choi, Seong-Cheol Im

{"title":"Operations Research Helps the Optimal Bidding of Virtual Power Plants","authors":"Daehong Kim, Hyungkyu Cheon, D. Choi, Seong-Cheol Im","doi":"10.1287/inte.2022.1120","DOIUrl":"https://doi.org/10.1287/inte.2022.1120","url":null,"abstract":"As distributed energy resources (DERs) continue to emerge, a new cloud-based information technology platform business model, the virtual power plant (VPP), is being introduced into the electricity market. The competitiveness of VPPs mainly depends on data analytics and operational technologies. Among the several operational problems, we focus on the optimal bidding decision problem in the day-ahead market. The bidding decision is a VPP’s commitment to supply the market with electricity from uncertain DERs, thereby affecting the VPP’s profits. Based on a collaboration with a VPP company in South Korea, H Energy Co. Ltd., we formulate a Markov decision process model for the problem and use a stochastic dynamic programming-based solution approach. This is the first study under the incentive-based market structure. To describe the uncertainty in the power supply from DERs, we build frameworks to generate scenario trees or lattices. Additionally, we apply heuristic techniques to reduce the computational burden. Through a pilot test based on real data, we verify the performance and practicality of our proposed model and solution approach. The case company has begun implementing the model and solution approach on its platform and has found that performance has improved after using advanced forecasting models for DERs.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128995183","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: 1

The Scheduling of Medical Students at Ghent University 根特大学医学生的日程安排

INFORMS J. Appl. Anal. Pub Date : 2022-03-16 DOI: 10.1287/inte.2022.1116

Babak Akbarzadeh, J. Wouters, C. Sys, B. Maenhout

{"title":"The Scheduling of Medical Students at Ghent University","authors":"Babak Akbarzadeh, J. Wouters, C. Sys, B. Maenhout","doi":"10.1287/inte.2022.1116","DOIUrl":"https://doi.org/10.1287/inte.2022.1116","url":null,"abstract":"Each year, the faculty of medicine and health sciences (Ghent University, Belgium) has to compose a medical student roster, assigning graduate students to different internships over the course of the academic year. An internship embodies a specific medical discipline and is carried out at a local hospital. This problem is complex because of conflicting requirements of different involved stakeholders, comprising educational requirements set by the university, limited capacity of local hospitals offering internships, and student preferences and requests. In this paper, we discuss a heuristic and required calibration to attain high-quality rosters, and it builds upon different decomposition-based heuristic solution steps and different control mechanisms to regulate the candidate assignments in each step. The proposed heuristic meets the software requirements of the university and is implemented as the scheduling module in the information system of the faculty to manage student internships. Computational experiments are carried out on real-life data related to the academic year 2020–2021 to validate the performance of the heuristic and the different improvement mechanisms. In addition, we demonstrate the use of the software as a simulation tool to devise different managerial insights relevant for the university with regard to curriculum design and student preferences.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115244598","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: 1

On the Test Accuracy and Effective Control of the COVID-19 Pandemic: A Case Study in Singapore 新冠肺炎疫情检测准确性与有效防控——以新加坡为例

INFORMS J. Appl. Anal. Pub Date : 2022-03-09 DOI: 10.2139/ssrn.3955828

Guang Cheng, S. Y. Gao, Yancheng Yuan, Chenxiao Zhang, Zhichao Zheng

{"title":"On the Test Accuracy and Effective Control of the COVID-19 Pandemic: A Case Study in Singapore","authors":"Guang Cheng, S. Y. Gao, Yancheng Yuan, Chenxiao Zhang, Zhichao Zheng","doi":"10.2139/ssrn.3955828","DOIUrl":"https://doi.org/10.2139/ssrn.3955828","url":null,"abstract":"This study examines the impact of coronavirus disease 2019 (COVID-19) test accuracy (i.e., sensitivity and specificity) on the progression of the pandemic under two scenarios of limited and unlimited test capacity. We extend the classic susceptible– exposed–infectious–recovered model to incorporate test accuracy and compare the progression of the pandemic under various sensitivities and specificities. We find that high-sensitivity tests effectively reduce the total number of infections only with sufficient testing capacity. Nevertheless, with limited test capacity and a relatively high cross-infection rate, the total number of infected cases may increase when sensitivity is above a certain threshold. Despite the potential for higher sensitivity tests to identify more infected individuals, more false positive cases occur, which wastes limited testing capacity, slowing down the detection of infected cases. Our findings reveal that improving test sensitivity alone does not always lead to effective pandemic control, indicating that policymakers should balance the trade-off between high sensitivity and high false positive rates when designing containment measures for infectious diseases, such as COVID-19, particularly when navigating limited test capacity.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"50 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123695954","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

Practice Summary: Multilaser Load Balancing in Additive Manufacturing 实践总结:增材制造中的多激光负载平衡

INFORMS J. Appl. Anal. Pub Date : 2022-02-25 DOI: 10.1287/inte.2022.1118

Nitish Umang, Srinivas Bollapragada, K. Hertel

引用次数: 1

Predictive Analytics Improves Sales Forecasts for a Pop-up Retailer 预测分析提高了快闪零售商的销售预测

INFORMS J. Appl. Anal. Pub Date : 2022-02-25 DOI: 10.1287/inte.2022.1119

Marlene A. Smith, M. J. Côté

引用次数: 1

Developing a Maximum Inscribed Rectangle Heuristic to Satisfy Rush Orders for Heavy Plate Steel 一种满足厚钢板急订单的最大内切矩形启发式算法

INFORMS J. Appl. Anal. Pub Date : 2022-02-10 DOI: 10.1287/inte.2021.1086

M. M. Mehdi, Le Wang, S. Willems

引用次数: 1

Shield-Net: Matching Supply with Demand for Face Shields During the COVID-19 Pandemic 防护网:COVID-19大流行期间面罩的供需匹配

INFORMS J. Appl. Anal. Pub Date : 2022-01-17 DOI: 10.1287/inte.2021.1112

Rebecca Alcock, J. Boutilier, Auyon Siddiq

{"title":"Shield-Net: Matching Supply with Demand for Face Shields During the COVID-19 Pandemic","authors":"Rebecca Alcock, J. Boutilier, Auyon Siddiq","doi":"10.1287/inte.2021.1112","DOIUrl":"https://doi.org/10.1287/inte.2021.1112","url":null,"abstract":"The initial months of the COVID-19 pandemic were marked by widespread shortages of personal protective equipment (PPE) because of surging demand and a fragile global supply chain. In response, many domestic suppliers pivoted to producing PPE, such as masks and face shields, made possible by low material costs and simple designs. A key challenge that remained was the lack of an established marketplace for nontraditional suppliers of PPE to connect with healthcare facilities in need. To address this inefficiency, we launched an online platform, Shield-Net, to match requests for face shields with new suppliers of PPE. Our platform was based on an optimization model that produced supplier-requester pairs and took into account request urgency, request size, production capacity, location, and product type. During the period of March to September 2020, Shield-Net produced 390 matches, resulting in the shipment of more than 50,000 face shields to 68 unique requesting organizations. Supplier-requester proximity was found to be the only statistically significant variable in the success of a match. In this paper, we discuss the development and impact of our matching platform, as well as lessons learned during its operation.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121845446","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: 3

A Scalable Forecasting Framework to Predict COVID-19 Hospital Bed Occupancy 预测COVID-19医院床位占用的可扩展预测框架

INFORMS J. Appl. Anal. Pub Date : 2022-01-14 DOI: 10.1287/inte.2021.1115

Jakob Heins, J. Schoenfelder, Steffen Heider, Axel R. Heller, J. Brunner

引用次数: 8

Galactic Air Improves Ancillary Revenues with Dynamic Personalized Pricing 银河航空通过动态个性化定价提高辅助收入

INFORMS J. Appl. Anal. Pub Date : 2022-01-13 DOI: 10.1287/inte.2021.1105

Arinbjörn Kolbeinsson, Naman Shukla, Akhil Gupta, Lavanya Marla, Kartik Yellepeddi

{"title":"Galactic Air Improves Ancillary Revenues with Dynamic Personalized Pricing","authors":"Arinbjörn Kolbeinsson, Naman Shukla, Akhil Gupta, Lavanya Marla, Kartik Yellepeddi","doi":"10.1287/inte.2021.1105","DOIUrl":"https://doi.org/10.1287/inte.2021.1105","url":null,"abstract":"Ancillaries are a rapidly growing source of revenue for airlines, yet their prices are currently statically determined using rules of thumb and are matched only to the average customer or to customer groups. Offering ancillaries at dynamic and personalized prices based on flight characteristics and customer needs could greatly improve airline revenue and customer satisfaction. Through a start-up (Deepair) that builds and deploys novel machine learning techniques to introduce such dynamically priced ancillaries to airlines, we partnered with a major European airline, Galactic Air (pseudonym), to build models and algorithms for improved pricing. These algorithms recommend dynamic personalized ancillary prices for a stream of features (called context) relating to each shopping session. Our recommended prices are restricted to be lower than the human-curated prices for each customer group. We designed and compared multiple machine learning models and deployed the best-performing ones live on the airline’s booking system in an online A/B testing framework. Over a six-month live implementation period, our dynamic pricing system increased the ancillary revenue per offer by 25% and conversion rate by 15% compared with the industry standard of human-curated rule-based prices.","PeriodicalId":430990,"journal":{"name":"INFORMS J. Appl. Anal.","volume":"38 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132359713","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: 2