Keyvan Kamandanipour, Siamak Haji Yakhchali, Reza Tavakkoli-Moghaddam
{"title":"Dynamic revenue management in a passenger rail network under price and fleet management decisions.","authors":"Keyvan Kamandanipour, Siamak Haji Yakhchali, Reza Tavakkoli-Moghaddam","doi":"10.1007/s10479-023-05296-4","DOIUrl":"10.1007/s10479-023-05296-4","url":null,"abstract":"<p><p>Revenue management for passenger rail transportation has a vital role in the profitability of public transportation service providers. This study proposes an intelligent decision support system by integrating dynamic pricing, fleet management, and capacity allocation for passenger rail service providers. Travel demand and price-sale relations are quantified based on the company's historical sales data. A mixed-integer non-linear programming model is presented to maximize the company's profit considering various cost types in a multi-train multi-class multi-fare passenger rail transportation network. Due to market conditions and operational constraints, the model allocates each wagon to the network routes, trainsets, and service classes on any day of the planning horizon. Since the mathematical optimization model cannot be solved time-efficiently, a fix-and-relax heuristic algorithm is applied for large-scale problems. Various real numerical cases expose that the proposed mathematical model has a high potential to improve the total profit compared to the current sales policies of the company.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s10479-023-05296-4.</p>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":" ","pages":"1-25"},"PeriodicalIF":4.8,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078050/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9688559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Knapsack problems with position-dependent item weights or profits","authors":"Stanisław Gawiejnowicz, Nir Halman, Hans Kellerer","doi":"10.1007/s10479-023-05265-x","DOIUrl":"10.1007/s10479-023-05265-x","url":null,"abstract":"<div><p>We consider three new knapsack problems with variable weights or profits of items, where the weight or profit of an item depends on the position of the item in the sequence of items packed in the knapsack. We show how to solve the problems exactly using dynamic programming algorithms with pseudo-polynomial running times and propose fully polynomial-time approximation schemes for their approximate solution.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"326 1","pages":"137 - 156"},"PeriodicalIF":4.8,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10479-023-05265-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42440045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correction to: Predicting the performance of MSMEs: a hybrid DEA-machine learning approach","authors":"Sabri Boubaker, Tu D. Q. Le, T. Ngo, Riadh Manita","doi":"10.1007/s10479-023-05256-y","DOIUrl":"https://doi.org/10.1007/s10479-023-05256-y","url":null,"abstract":"","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43179624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reducing waste and achieving sustainable food security through optimizing surplus-food collection and meal distribution","authors":"Pei-Ju Wu, Yu-Shan Lin","doi":"10.1007/s10479-023-05258-w","DOIUrl":"10.1007/s10479-023-05258-w","url":null,"abstract":"<div><p>Hunger among senior citizens is emerging as a considerable global problem, but social-welfare organizations’ efforts are limited by the complexities of safely collecting surplus food and targeting it to those in need. However, these logistical problems have received scant attention in the literature, an absence that this study addresses. This study develops a logistics approach to tackling the problems of long-term care operations’ surplus food collection and meal distribution, with the wider aim of achieving sustainable food security. The analytical results reveal that hub-and-spoke meal distribution was found to have better logistics performance than direct shipment. The critical logistics behaviors associated with long-term care organizations’ meal operations were also identified. Specifically, delivery times, donor numbers, and vehicle-loading rates were found to be the essential factors in determining optimal fleet size for long-term care logistics in the sharing economy. However, the results of this study also imply that social-welfare organizations should categorize senior citizens into groups that will facilitate the identification of suitable centers for hub-and-spoke shipment. Moreover, the major decision-making parameters of the proposed approaches can be tailored to other sets of specific circumstances that necessitate surplus-food collection and meal distribution. This pioneering study scrutinizes some critical issues involved in sustainable food security and provides effective approaches for overcoming them.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"328 2","pages":"1537 - 1555"},"PeriodicalIF":4.8,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10479-023-05258-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43590507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How can big data and predictive analytics impact the performance and competitive advantage of the food waste and recycling industry?","authors":"","doi":"10.1007/s10479-023-05272-y","DOIUrl":"https://doi.org/10.1007/s10479-023-05272-y","url":null,"abstract":"","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2023-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42872761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Imran Yousaf, Saba Qureshi, Fiza Qureshi, Mariya Gubareva
{"title":"Connectedness of COVID vaccination with economic policy uncertainty, oil, bonds, and sectoral equity markets: evidence from the US.","authors":"Imran Yousaf, Saba Qureshi, Fiza Qureshi, Mariya Gubareva","doi":"10.1007/s10479-023-05267-9","DOIUrl":"10.1007/s10479-023-05267-9","url":null,"abstract":"<p><p>We examine the connectedness of the COVID vaccination with the economic policy uncertainty, oil, bonds, and sectoral equity markets in the US within time and frequency domain. The wavelet-based findings show the positive impact of COVID vaccination on the oil and sector indices over various frequency scales and periods. The vaccination is evidenced to lead the oil and sectoral equity markets. More specifically, we document strong connectedness of vaccinations with communication services, financials, health care, industrials, information technology (IT) and real estate equity sectors. However, weak interactions exist within the vaccination-IT-services and vaccination-utilities pairs. Moreover, the effect of vaccination on the Treasury bond index is negative, whereas the economic policy uncertainty shows an interchanging lead and lag relation with vaccination. It is further observed that the interrelation between vaccination and the corporate bond index is insignificant. Overall, the impact of vaccination on the sectoral equity markets and economic policy uncertainty is higher than on oil and corporate bond prices. The study offers several important implications for investors, government regulators, and policymakers.</p>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":" ","pages":"1-27"},"PeriodicalIF":4.4,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10032274/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9713520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neeraj Kumar Pandey, Krishna Kumar, Gaurav Saini, Amit Kumar Mishra
{"title":"Security issues and challenges in cloud of things-based applications for industrial automation","authors":"Neeraj Kumar Pandey, Krishna Kumar, Gaurav Saini, Amit Kumar Mishra","doi":"10.1007/s10479-023-05285-7","DOIUrl":"10.1007/s10479-023-05285-7","url":null,"abstract":"<div><p>Due to the COVID-19 outbreak, industries have gained a thrust on contactless processing for computing technologies and industrial automation. Cloud of Things (CoT) is one of the emerging computing technologies for such applications. CoT combines the most emerging cloud computing and the Internet of Things. The development in industrial automation made them highly interdependent because the cloud computing works like a backbone in IoT technology. This supports the data storage, analytics, processing, commercial application development, deployment, and security compliances. Now amalgamation of cloud technologies with IoT is making utilities more useful, smart, service-oriented, and secure application for sustainable development of industrial processes. As the pandemic has increased access to computing utilities remotely, cyber-attacks have been increased exponentially. This paper reviews the CoT’s contribution to industrial automation and the various security features provided by different tools and applications used for the circular economy. The in-depth analysis of security threats, availability of different features corresponding the security issues in traditional and non-traditional CoT platforms used in industrial automation have been analysed. The security issues and challenges faced by IIoT and AIoT in industrial automation have also been addressed.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"342 1","pages":"565 - 584"},"PeriodicalIF":4.4,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9770410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Poonam Garg, B. Gupta, Kanwal Kapil, U. Sivarajah, Shivam Gupta
{"title":"Examining the relationship between blockchain capabilities and organizational performance in the Indian banking sector","authors":"Poonam Garg, B. Gupta, Kanwal Kapil, U. Sivarajah, Shivam Gupta","doi":"10.1007/s10479-023-05254-0","DOIUrl":"https://doi.org/10.1007/s10479-023-05254-0","url":null,"abstract":"","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":" ","pages":"1-34"},"PeriodicalIF":4.8,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43288758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhixuan Lai, Gaoxiang Lou, Linsen Yin, Haicheng Ma, Xuechen Tu
{"title":"Supply chain green strategy considering manufacturers’ financial constraints: how to manage the risk of green supply chain financing","authors":"Zhixuan Lai, Gaoxiang Lou, Linsen Yin, Haicheng Ma, Xuechen Tu","doi":"10.1007/s10479-023-05239-z","DOIUrl":"https://doi.org/10.1007/s10479-023-05239-z","url":null,"abstract":"","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43289270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}