Annals of Operations Research最新文献_第10页

Optimizing mobility resource allocation in multiple MaaS subscription frameworks: a group method of data handling-driven self-adaptive harmony search algorithm 优化多个 MaaS 订阅框架中的移动资源分配：数据处理驱动的自适应和谐搜索算法组方法

IF 4.8 3区管理学

Annals of Operations Research Pub Date : 2024-08-23 DOI: 10.1007/s10479-024-06209-9

Haoning Xi, Yan Wang, Zhiqi Shao, Xiang Zhang, Travis Waller

{"title":"Optimizing mobility resource allocation in multiple MaaS subscription frameworks: a group method of data handling-driven self-adaptive harmony search algorithm","authors":"Haoning Xi, Yan Wang, Zhiqi Shao, Xiang Zhang, Travis Waller","doi":"10.1007/s10479-024-06209-9","DOIUrl":"https://doi.org/10.1007/s10479-024-06209-9","url":null,"abstract":"Mobility as a Service (MaaS) transforms urban transportation from car ownership to subscription-based models. A key factor for the success of MaaS is accurately predicting users’ Willingness to Pay (WTP) for various subscription packages, enhancing their adoption and satisfaction. This paper employs a “smart predict-then-optimize” framework, where the weekly, annual, and monthly MaaS subscription models are formulated as online, offline, and hybrid online-offline mobility resource allocation problems, respectively. We develop a group method of data handling (GMDH)-driven self-adaptive harmony search (SAHS) algorithm to solve the proposed mobility resource allocation problems effectively. Initially, GMDH-type neural networks predict users’ WTP using their historical travel data, such as travel distance and service time, and socio-demographic characteristics, including inconvenience tolerance and travel delay budget; then these predicted WTP values are fed into the weekly, annual, and monthly mobility resource allocation problems, respectively. Comprehensive numerical experiments based on a simulated dataset demonstrate the robust prediction performance of the GMDH neural network across weekly, monthly, and annual subscription models, as well as the effectiveness of the GMDH-driven SAHS algorithm in managing resource allocation for these models. Our numerical findings highlight that the monthly subscription model strikes an optimal balance, combining the flexibility of the weekly model with the strategic depth of the annual model. This study proposes three distinct MaaS subscription models and a data-driven metaheuristic algorithm to customize MaaS offerings to user needs.","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"42 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142225266","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}

引用次数: 0

Efficient neighborhood evaluation for the maximally diverse grouping problem 最大多样化分组问题的高效邻域评估

IF 4.4 3区管理学

Annals of Operations Research Pub Date : 2024-08-21 DOI: 10.1007/s10479-024-06217-9

Arne Schulz

引用次数: 0

Design of a mathematical model to optimize farmer food security and promote rural development in Paraguay 设计数学模型，优化巴拉圭农民的粮食安全并促进农村发展

IF 4.8 3区管理学

Annals of Operations Research Pub Date : 2024-08-20 DOI: 10.1007/s10479-024-06199-8

María Margarita López, Jorge Vera Andreo, Lluís Miquel Plà Aragonés, Jorge L. Recalde-Ramírez

{"title":"Design of a mathematical model to optimize farmer food security and promote rural development in Paraguay","authors":"María Margarita López, Jorge Vera Andreo, Lluís Miquel Plà Aragonés, Jorge L. Recalde-Ramírez","doi":"10.1007/s10479-024-06199-8","DOIUrl":"https://doi.org/10.1007/s10479-024-06199-8","url":null,"abstract":"Peasants occupy many rural areas with low income, excessive self-consumption, and deficient access to resources, which translate into poverty and lack of food security. In developing countries, support programs push incentives for better crop planning decisions, exchanging crops between farmers, and improving market access. Decision-making in this context is complex, given the many available options and criteria regarding nutrition, income, and work capacity that must be satisfied, as well as several uncertainties. Considering the primary agricultural operations, we develop a mixed integer optimization model that maximizes farmer's profit and food security. We test our model for cooperatives from the Department of Caazapá, Paraguay. First, we solve the deterministic model for 60-month horizon planning and generate alternative scenarios. Then, we compare the plan for the actual production with the plan from the model solution. To study the effects of uncertainty, we also develop a two-stage stochastic model in which results for four cooperatives and 24-month horizon planning are compared considering sources of uncertainty on the supply side (harvest yield) and on the demand side (sales price). The proposed plans have economic, environmental, and social advantages: a mix of crop production, crop rotation performance, and the partial fulfillment of nutritional requirements. In the short term, the plans could guide production decision-making. In the long term, the results could support the generation of concrete line actions for programs or projects according to the Sustainable Development Goals (SDG), such as food security and small-scale production planning.","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"29 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197536","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}

引用次数: 0

AHP based on scenarios and the optimism coefficient for new and risky projects: case of independent criteria 基于情景和乐观系数的新项目和风险项目 AHP：独立标准案例

IF 4.4 3区管理学

Annals of Operations Research Pub Date : 2024-08-19 DOI: 10.1007/s10479-024-06197-w

Helena Gaspars-Wieloch

{"title":"AHP based on scenarios and the optimism coefficient for new and risky projects: case of independent criteria","authors":"Helena Gaspars-Wieloch","doi":"10.1007/s10479-024-06197-w","DOIUrl":"10.1007/s10479-024-06197-w","url":null,"abstract":"<div>AHP is a well-known multi-criteria procedure which has been investigated and developed by many researchers and practitioners. Some AHP modifications are designed for decision making under uncertainty. The goal of this paper is to present a new AHP approach which can be useful in the case of uncertain one-shot decisions and independent criteria. The method proposed in the article is based on scenario planning, features characteristic for the Hurwicz rule (i.e. the use of the optimism coefficient) and on a scenario set reduction. The novel procedure gives the possibility to generate a relatively small number of pairwise comparison matrices thanks to the reduction of the initial sets of scenarios. The modified version of AHP may be helpful when the decision maker’s knowledge about probabilities of the occurrence of particular scenarios is partial. Such a situation occurs in the case of innovative, innovation and risky projects for which historical data are not known. The idea of the suggested scenario-based AHP is to adjust the final choice not only to the decision makers’ preferences (concerning criteria for example), but also to their nature, attitude towards risk, predictions, expectations and fears.</div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"341 2-3","pages":"937 - 961"},"PeriodicalIF":4.4,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10479-024-06197-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197561","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}

引用次数: 0

Reliability and statistical computing 可靠性和统计计算

IF 4.4 3区管理学

Annals of Operations Research Pub Date : 2024-08-19 DOI: 10.1007/s10479-024-06212-0

Hoang Pham

引用次数: 0

In a memory of the late Harry Markowitz 悼念已故哈里-马科维茨

IF 4.8 3区管理学

Annals of Operations Research Pub Date : 2024-08-19 DOI: 10.1007/s10479-024-06188-x

Haim Levy

引用次数: 0

Multi-source ensemble method with random source selection for virtual metrology 用于虚拟计量的随机源选择多源集合方法

IF 4.8 3区管理学

Annals of Operations Research Pub Date : 2024-08-17 DOI: 10.1007/s10479-024-06179-y

Gejia Zhang, Tianhui Wang, Jaeseung Baek, Myong-Kee Jeong, Seongho Seo, Jaekyung Choi

{"title":"Multi-source ensemble method with random source selection for virtual metrology","authors":"Gejia Zhang, Tianhui Wang, Jaeseung Baek, Myong-Kee Jeong, Seongho Seo, Jaekyung Choi","doi":"10.1007/s10479-024-06179-y","DOIUrl":"https://doi.org/10.1007/s10479-024-06179-y","url":null,"abstract":"In the era of Industry 4.0, the complexity of semiconductor production is growing very fast, raising the possibility of unnoticed defective wafers and subsequent wasteful use of resources. One of the key advantages of Industry 4.0 is the accessibility to big data, which can be obtained from a number of sensors, including multiple sensor data and extensive data repositories. Recently, engineers have developed data fusion strategies for virtual metrology (VM) prediction models to effectively handle data from multiple sources. This research explores a novel approach for data-driven VM prediction model for multi-source data, namely multi-source ensemble method with random source selection. By utilizing the bagging principle for multi-source data and tree-based prediction paradigms, the proposed approach randomly selects subsets of data sources to construct each tree learner, thus reducing interdependence among the trees and minimizing the risk of overfitting, which can be a challenge faced by existing tree-based prediction models. To validate and illustrate the practical applicability of our proposed method, we use real-world data from the plasma etching process, aiming to provide potential benefits and effectiveness of our methodology.","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"45 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197541","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}

引用次数: 0

Green technology opening, imitation, and investment: firms’ strategic technology choices in competitive markets 绿色技术开放、模仿与投资：竞争市场中企业的战略技术选择

IF 4.8 3区管理学

Annals of Operations Research Pub Date : 2024-08-16 DOI: 10.1007/s10479-024-06201-3

Shaofu Du, Chenyang Gou, Wenzhi Tang

{"title":"Green technology opening, imitation, and investment: firms’ strategic technology choices in competitive markets","authors":"Shaofu Du, Chenyang Gou, Wenzhi Tang","doi":"10.1007/s10479-024-06201-3","DOIUrl":"https://doi.org/10.1007/s10479-024-06201-3","url":null,"abstract":"Green firms are considering whether to open or close their new green technologies. Opening up green technology can induce imitation and transformation in traditional firms but intensify competition in the green product market. Meanwhile, green technology imitation leads to the market share transfer effect, which is a supply-side network externality that gains consumer trust and increases the market share of green products as more firms adopt the technology. However, traditional firms also face a dilemma in green technology imitation choices due to the market cannibalization problem. This study constructs a game-theoretic model with one green firm possessing proprietary green technology and one traditional firm to investigate firms’ strategic interactions among green technology opening, imitation, and investment. We find that the technology opening strategy may constitute equilibrium if the market transfer share or the market size of green products is relatively large. Accordingly, the traditional firm produces green products by imitation when the green firm opens its technology. In addition, the technology opening strategy improves social welfare compared with the technology closing strategy, thus forming a win-win situation. We further extend the analysis by considering the technology licensing contract model, consumer-side network effects, the sequential quantity game model, market demand uncertainty, and the government’s subsidy policy.","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"88 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197540","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}

引用次数: 0

Identification and visualisation of zombie firms using self-organizing maps 利用自组织图识别僵尸企业并将其可视化

IF 4.8 3区管理学

Annals of Operations Research Pub Date : 2024-08-15 DOI: 10.1007/s10479-024-06215-x

David Veganzones, Eric Séverin

引用次数: 0

Designing an integrated sustainable-resilient mix-and-match vaccine supply chain network 设计具有可持续复原能力的综合混配疫苗供应链网络

IF 4.8 3区管理学

Annals of Operations Research Pub Date : 2024-08-14 DOI: 10.1007/s10479-024-06211-1

Ali Jahed, Seyyed Mohammad Hadji Molana, Reza Tavakkoli-Moghaddam, Vahideh Valizadeh

{"title":"Designing an integrated sustainable-resilient mix-and-match vaccine supply chain network","authors":"Ali Jahed, Seyyed Mohammad Hadji Molana, Reza Tavakkoli-Moghaddam, Vahideh Valizadeh","doi":"10.1007/s10479-024-06211-1","DOIUrl":"https://doi.org/10.1007/s10479-024-06211-1","url":null,"abstract":"Vaccination is the most effective strategy for battling infectious diseases, breaking the disease transmission chain, and achieving herd immunity. Implementing vaccination for the whole population requires an integrated vaccine supply chain network that considers sustainability and resiliency in the network. For this purpose, in this research, a location-allocation-inventory-distribution problem in the sustainable and resilient vaccine supply chain network, considering mix-and-match vaccine regimens against SARS-CoV-2, is designed. The mix-and-match-based vaccination to reach robust immunization, increase vaccination effectiveness, and more resilience to cope with shortages is applied. In addition, three pillars of sustainability, to minimize distribution network costs, vaccine disposal impact, and greenhouse gas emissions, in terms of economic and environmental, and maximizing job creation, demand satisfaction, and vaccination effectiveness to ensure social sustainability, are developed. Also, scenario-based optimization is presented to meet the inevitable disruptions and breakdowns, such as the supply capacity of suppliers and uncertain amounts of vaccine demand, which depends on the previous type of vaccine injected, and robust stochastic programming is used to handle uncertainties. To solve the proposed model, efficient meta-heuristic algorithms, including the genetic algorithm (GA) and variable neighborhood search (VNS), are applied. In addition, a new hybrid algorithm called H-GAVNS based on the GA and VNS is developed in this research to discover near-optimal results. Finally, a case study of the COVID-19 vaccine in Iran’s environment is presented to confirm the accuracy of the presented model. The outcomes show that uncertainties in the real world and sustainability and resiliency aspects are well managed and responded to by the designed model.","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"41 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142197563","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}

引用次数: 0