Annals of Operations Research最新文献

{"title":"Optimization of multistage timeliness transit consolidation problem using adaptive-weighted genetic algorithm.","authors":"Bowen Lv,&nbsp;Bin Yang,&nbsp;Ek Peng Chew","doi":"10.1007/s10479-023-05417-z","DOIUrl":"10.1007/s10479-023-05417-z","url":null,"abstract":"<p><p>Cargo consolidation is becoming a crucial part of international transportation and changing the customer consumption patterns of the international community. Poor connections between different operations and the delay of international express have motivated sellers and logistics organizers to put timeliness first in international multimodal transport, especially during the COVID-19 epidemic. However, for cargo with small quality and multiple batches, designing an efficient consolidation network presents a set of unique challenges, including the coupling of multiple origins and destinations (ODs), and fully utilizing the capacity of the container. We defined a multistage timeliness transit consolidation problem to decouple the multiple ODs of the logistics resource. By solving this problem, we can increase the connectivity between different phases and make full use of the container. To make this systematic multistage transit consolidation more flexible, we proposed a two-stage adaptive-weighted genetic algorithm that mainly focuses on the edge area of the Pareto front space and the diversity of the population. Computational experiments indicate that the correlation between parameters has certain regular trends, and appropriate parameter settings can lead to more satisfactory results. We also confirm that the pandemic has a giant influence on the market share of different transportation modes. Moreover, the comparison with other approaches demonstrates the feasibility and effectiveness of the proposed method.</p>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":" ","pages":"1-32"},"PeriodicalIF":4.8,"publicationDate":"2023-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256979/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9680225","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":"A data-driven optimization model to response to COVID-19 pandemic: a case study","authors":"Amin Eshkiti,&nbsp;Fatemeh Sabouhi,&nbsp;Ali Bozorgi-Amiri","doi":"10.1007/s10479-023-05320-7","DOIUrl":"10.1007/s10479-023-05320-7","url":null,"abstract":"<div><p>COVID-19 is a highly prevalent disease that has led to numerous predicaments for healthcare systems worldwide. Owing to the significant influx of patients and limited resources of health services, there have been several limitations associated with patients' hospitalization. These limitations can cause an increment in the COVID-19-related mortality due to the lack of appropriate medical services. They can also elevate the risk of infection in the rest of the population. The present study aims to investigate a two-phase approach to designing a supply chain network for hospitalizing patients in the existing and temporary hospitals, efficiently distributing medications and medical items needed by patients, and managing the waste created in hospitals. Since the number of future patients is uncertain, in the first phase, trained Artificial Neural Networks with historical data forecast the number of patients in future periods and generate scenarios. Through the use of the K-Means method, these scenarios are reduced. In the second phase, a multi-objective, multi-period, data-driven two-stage stochastic programming is developed using the acquired scenarios in the previous phase concerning the uncertainty and disruption in facilities. The objectives of the proposed model include maximizing the minimum allocation-to-demand ratio, minimizing the total risk of disease spread, and minimizing the total transportation time. Furthermore, a real case study is investigated in Tehran, the capital of Iran. The results showed that the areas with the highest population density and no facilities near them have been selected for the location of temporary facilities. Among temporary facilities, temporary hospitals can allocate up to 2.6% of the total demand, which puts pressure on the existing hospitals to be removed. Furthermore, the results indicated that the allocation-to-demand ratio can remain at an ideal level when disruptions occur by considering temporary facilities. Our analyses focus on: (1) Examining demand forecasting error and generated scenarios in the first phase, (2) exploring the impact of demand parameters on the allocation-to-demand ratio, total time and total risk, (3) investigating the strategy of utilizing temporary hospitals to address sudden changes in demand, (4) evaluating the effect of disruption to facilities on the supply chain network.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"328 1","pages":"337 - 386"},"PeriodicalIF":4.8,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10479-023-05320-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9718783","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":"Infectious diseases and social distancing under state-dependent probabilities","authors":"Davide La Torre,&nbsp;Simone Marsiglio,&nbsp;Fabio Privileggi","doi":"10.1007/s10479-023-05409-z","DOIUrl":"10.1007/s10479-023-05409-z","url":null,"abstract":"<div><p>We analyze the implications of infectious diseases and social distancing in an extended SIS framework to allow for the presence of stochastic shocks with state dependent probabilities. Random shocks give rise to the diffusion of a new strain of the disease which affects both the number of infectives and the average biological characteristics of the pathogen causing the disease. The probability of such shock realizations changes with the level of disease prevalence and we analyze how the properties of the state-dependent probability function affect the long run epidemiological outcome which is characterized by an invariant probability distribution supported on a range of positive prevalence levels. We show that social distancing reduces the size of the support of the steady state distribution decreasing thus the variability of disease prevalence, but in so doing it also shifts the support rightward allowing eventually for more infectives than in an uncontrolled framework. Nevertheless, social distancing is an effective control measure since it concentrates most of the mass of the distribution toward the lower extreme of its support.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"337 3","pages":"993 - 1008"},"PeriodicalIF":4.4,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9718781","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":"Building risk mitigation strategies for circularity adoption in Indian textile supply chains.","authors":"Ashutosh Mishra,&nbsp;Gunjan Soni,&nbsp;Bharti Ramtiyal,&nbsp;Mayank Dhaundiyal,&nbsp;Aalok Kumar,&nbsp;P R S Sarma","doi":"10.1007/s10479-023-05394-3","DOIUrl":"10.1007/s10479-023-05394-3","url":null,"abstract":"<p><p>Textile industries are among the most polluting and demand urgent management measures to mitigate their negative environmental impact. Thus, it is imperative to incorporate the textile industry into the circular economy and to foster sustainable practices. This study aims to establish a comprehensive, compliant decision framework to analyse risk mitigation strategies for circular supply chain (CSC) adoption in India's textile industries. The Situations Actors Processes and Learnings Actions Performances (SAP-LAP) technique analyses the problem. However, interpreting the interacting associations between the SAP-LAP model-based variables is somewhat lacking in this procedure, which might skew the decision-making process. As a result, in this study, the SAP-LAP method is accompanied by a novel ranking technique, namely, the Interpretive Ranking Process (IRP), which reduces decision-making issues in the SAP-LAP method and aids in evaluating the model by determining the ranks of variables; furthermore, the study also offers causal relationships among the various risks and risk factors and various identified risk-mitigation actions by constructing Bayesian Networks (BN) based on conditional probabilities. The study's originality represents the findings using an instinctive and interpretative choice approach to address significant concerns in risk perception and mitigation techniques for CSC adoption in the Indian textile industries. The suggested SAP-LAP and the IRP-based model would assist firms in addressing risk mitigation techniques for CSC adoption concerns by providing a hierarchy of the various risks and mitigation strategies to cope with. The simultaneously proposed BN model will help visualise the conditional dependency of risks and factors with proposed mitigating actions.</p>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":" ","pages":"1-36"},"PeriodicalIF":4.8,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228442/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9716211","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":"RETRACTED ARTICLE: Learnings from Industry 4.0 for transitioning towards Industry 4.0+: challenges and solutions for Indian pharmaceutical sector","authors":"Mahak Sharma,&nbsp;Rajat Sehrawat,&nbsp;Mihalis Giannakis,&nbsp;Yogesh K. Dwivedi","doi":"10.1007/s10479-023-05391-6","DOIUrl":"10.1007/s10479-023-05391-6","url":null,"abstract":"","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"337 1 supplement","pages":"27 - 28"},"PeriodicalIF":4.4,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214346/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10092444","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":"A stackelberg differential game theoretic approach for analyzing coordination strategies in a supply chain with retailer’s premium store brand","authors":"Parisa Assarzadegan,&nbsp;Seyed Reza Hejazi,&nbsp;Morteza Rasti-Barzoki","doi":"10.1007/s10479-023-05372-9","DOIUrl":"10.1007/s10479-023-05372-9","url":null,"abstract":"<div><p>The present study examines a supply chain consisting of a manufacturer and a retailer. The manufacturer produces a product with a national brand (NB) and the retailer selling both the NB product and his own premium store brand (PSB) product. The manufacturer competes with the retailer through improving the quality by using innovation over time. It is assumed that both advertising and enhanced quality play positive roles in customers’ loyalty over time for the NB product. We propose four scenarios, including: (1) Decentralized (D), (2) Centralized (C), (3) Coordination with a revenue-sharing contract (RSH), and (4) Coordination with a two-part tariff contract (TPT). A Stackelberg differential game model is developed, and parametric analyses and managerial insights are provided based on a numerical example. Our results show that: (1) Introducing a PSB product alongside selling the NB product is profitable for the retailer, (2) In Scenario D and RSH, the manufacturer tries to increase the quality gap with the PSB product through innovation, (3) Customers’ loyalty leads to higher prices, levels of innovation, quality, and advertising for the NB product, (4) The TPT contract can lead to perfect coordination and yield higher profits for the manufacturer and the retailer.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"336 3","pages":"1519 - 1549"},"PeriodicalIF":4.4,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9680226","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":"Offshoring or reshoring: the impact of tax regulations on operations strategies","authors":"Ziping Wang,&nbsp;Feng Cheng,&nbsp;Jingxian Chen,&nbsp;Dong-Qing Yao","doi":"10.1007/s10479-023-05346-x","DOIUrl":"10.1007/s10479-023-05346-x","url":null,"abstract":"<div><p>After decades of outsourcing to low-cost countries, companies are restructuring their production footprint globally. Especially having experienced supply chain disruption caused by the unprecedented Covid-19 pandemic for the past several years, many multinational companies are considering bringing their operations back home (i.e., reshoring). At the same time, the U.S. government proposes using tax penalties to motivate companies to reshore. In this paper, we study how a global supply chain adjusts its offshoring and reshoring production decisions under two different circumstances: (1) under traditional corporate tax regulations; (2) under the proposed tax penalty regulations. We analyze cost variants, tax structures, market access and production risks to identify conditions where global companies decide to bring manufacturing back to their domestic countries. Our results show that multinational companies would be more likely to relocate the production from the main foreign country to an alternative country that enjoys even lower production costs under the proposed tax penalty. As identified by our analysis and as well as numerical simulations, reshoring can only occur in rare situations such as when the production costs in the foreign countries are close to that in the domestic country. Besides potential national tax reform, we also discuss the impact of the Global Minimum Tax Rate proposed by the G7 on global companies’ offshoring/reshoring decisions.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"326 1","pages":"317 - 339"},"PeriodicalIF":4.8,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10479-023-05346-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9688558","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":"RETRACTED ARTICLE: A game theory data science-based mechanism for licensed pharmaceutical products concerning their deterioration: a case of a micro, small, and medium enterprise in Iran","authors":"Amirhossein Mostofi,&nbsp;Vipul Jain,&nbsp;Sameer Kumar,&nbsp;Yi Mei,&nbsp;Charu Chandra","doi":"10.1007/s10479-023-05360-z","DOIUrl":"10.1007/s10479-023-05360-z","url":null,"abstract":"","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"337 1 supplement","pages":"23 - 24"},"PeriodicalIF":4.4,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9718785","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":"Complex behavior of individuals and collectives in a social system: An introduction to exploratory computational experimental methodology based on multi-agent modeling.","authors":"Xiaojing Zheng","doi":"10.1007/s10479-023-05388-1","DOIUrl":"10.1007/s10479-023-05388-1","url":null,"abstract":"<p><p>Although the multi-agent model has been used to analyze several economic and management problems, and the research results are regarded more profoundly, they all rely on certain scenarios. Once the scenarios are shifted to an unknown one, the results cannot be matched. In this paper, a new research method named exploratory computational experiment is introduced to resolve the problems coming from the social complex system, where individual's behaviors are irrational, diverse, and complex, and collective behavior is dynamical, complex, and critical. Firstly, the foundation of the computational experiment is introduced, then several important problems, how individuals make the decision under complex environment, how collective behavior have emerged when different conflicts co-exist, and how to evaluate collect behaviors, are analyzed. To specify this new method, two examples of how to design a scientific mechanism to make the traffic system more effective and how is the evolution law of giant components in scale-free networks if the parameters are changed continuously. The results show that multi-agent modeling based on irrational behaviors controlled by individual dynamical game radius and memory length limited can describe the social problem more accurately, the exploratory computational experiment can give us more profound conclusions.</p>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":" ","pages":"1-25"},"PeriodicalIF":4.8,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204039/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10074233","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":"RETRACTED ARTICLE: A new truck-drone routing problem for parcel delivery by considering energy consumption and altitude","authors":"Maryam Momeni,&nbsp;S. M. J. Mirzapour Al-e-Hashem,&nbsp;Ali Heidari","doi":"10.1007/s10479-023-05381-8","DOIUrl":"10.1007/s10479-023-05381-8","url":null,"abstract":"","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"337 1 supplement","pages":"25 - 25"},"PeriodicalIF":4.4,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9713519","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}