Flexible Services and Manufacturing Journal最新文献_第3页

Improving access to emergency medical services using advanced air mobility vehicles 利用先进的空中机动车辆改善获得紧急医疗服务的机会

3区工程技术

Flexible Services and Manufacturing Journal Pub Date : 2023-09-18 DOI: 10.1007/s10696-023-09507-9

Julián Alberto Espejo-Díaz, Edgar Alfonso-Lizarazo, Jairo R. Montoya-Torres

{"title":"Improving access to emergency medical services using advanced air mobility vehicles","authors":"Julián Alberto Espejo-Díaz, Edgar Alfonso-Lizarazo, Jairo R. Montoya-Torres","doi":"10.1007/s10696-023-09507-9","DOIUrl":"https://doi.org/10.1007/s10696-023-09507-9","url":null,"abstract":"Abstract The latest advancements in electric vertical take-off and landing (eVTOL) vehicles indicate that soon this technology will be available in multiple fields. One potential application of this new technology is in emergency medical services. These vehicles will be able to reach emergency sites faster than ground ambulances at lower costs than traditional helicopters. So in the following years, eVTOL vehicles could be used for aeromedical transportation. One crucial decision in implementing such a technology in emergency medical services is the location of their take-off and landing areas (vertiports). In this work, we propose a methodology for locating the vertiports in a healthcare network to improve emergency medical services coverage in hard-to-reach zones. We studied the system performance locating the vertiports for emergency services in existing healthcare facilities or outside them as auxiliary bases. In addition, we evaluated the performance of different operational scenarios regarding the use of emergency eVTOL. To do so, we used data analytics techniques (i.e., clustering algorithms) in conjunction with facility location models. The approach is tested using data from the Auvergne-Rhône-Alpes region in France. Results showed that locating the vertiports in existing healthcare facilities is the best choice in terms of coverage of hard-to-reach zones. However, on average, the response times increased compared to locating the vertiports as auxiliary bases outside the healthcare facilities. Besides, the results indicated that implementing eVTOL vehicles for aeromedical transportation can provide better access to emergency medical services in hard-to-reach zones. Still, the autonomy of such vehicles plays an essential role in their applicability.","PeriodicalId":50441,"journal":{"name":"Flexible Services and Manufacturing Journal","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135202997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Queueing network models for the analysis and optimisation of material handling systems: a systematic literature review 用于物料处理系统分析和优化的排队网络模型：系统文献综述

IF 2.7 3区工程技术

Flexible Services and Manufacturing Journal Pub Date : 2023-09-07 DOI: 10.1007/s10696-023-09505-x

Mohamed Amjath, L. Kerbache, Adel Elomri, James MacGregor Smith

引用次数: 0

Integrated optimization of electric vehicles charging location and allocation for valet charging service 针对代客充电服务的电动汽车充电位置与配置的集成优化

IF 2.7 3区工程技术

Flexible Services and Manufacturing Journal Pub Date : 2023-08-20 DOI: 10.1007/s10696-023-09508-8

Xiaoxiao Shen, Jun Lv, Shichang Du, Yafei Deng, Molin Liu, Yulu Zhou

引用次数: 2

Human-Robot collaboration in the next generation manufacturing and logistics system 下一代制造和物流系统中的人机协作

IF 2.7 3区工程技术

Flexible Services and Manufacturing Journal Pub Date : 2023-08-12 DOI: 10.1007/s10696-023-09506-w

S. Ponnambalam, Qing Chang, R. Zhong, Ibrahim Kucukkoc, M. Janardhanan

引用次数: 0

Correction: Data-driven aggregate modeling of a semiconductor wafer fab to predict WIP levels and cycle time distributions 修正:一个半导体晶圆厂的数据驱动的聚合模型，以预测在制品水平和周期时间分布

3区工程技术

Flexible Services and Manufacturing Journal Pub Date : 2023-08-01 DOI: 10.1007/s10696-023-09504-y

Patrick C. Deenen, Jeroen Middelhuis, Alp Akcay, Ivo J. B. F. Adan

引用次数: 0

Lean and Industry 4.0 mitigating common losses in Engineer-to-Order theory and practice: an exploratory study 精益与工业4.0减轻订单工程理论与实践中的常见损失：一项探索性研究

IF 2.7 3区工程技术

Flexible Services and Manufacturing Journal Pub Date : 2023-07-31 DOI: 10.1007/s10696-023-09503-z

Felix Schulze, P. Dallasega

引用次数: 0

Data-driven aggregate modeling of a semiconductor wafer fab to predict WIP levels and cycle time distributions 半导体晶圆厂的数据驱动聚合建模，以预测在制品水平和循环时间分布

IF 2.7 3区工程技术

Flexible Services and Manufacturing Journal Pub Date : 2023-06-16 DOI: 10.1007/s10696-023-09501-1

Patrick C. Deenen, J. Middelhuis, A. Akçay, I. Adan

引用次数: 1

Assessment of coal supply chain under carbon trade policy by extended exergy accounting method. 碳贸易政策下煤炭供应链的扩展（火用）核算方法评估。

IF 2.7 3区工程技术

Flexible Services and Manufacturing Journal Pub Date : 2023-06-10 DOI: 10.1007/s10696-023-09502-0

Ali Roozbeh Nia, Anjali Awasthi, Nadia Bhuiyan

{"title":"Assessment of coal supply chain under carbon trade policy by extended exergy accounting method.","authors":"Ali Roozbeh Nia, Anjali Awasthi, Nadia Bhuiyan","doi":"10.1007/s10696-023-09502-0","DOIUrl":"10.1007/s10696-023-09502-0","url":null,"abstract":"Within an uncertain environment and following carbon trade policies, this study uses the Extended Exergy Accounting (EEA) method for coal supply chains (SCs) in eight of the world's most significant coal consuming countries. The purpose is to improve the sustainability of coal SCs in terms of Joules rather than money while considering economic, environmental, and social aspects. This model is a multi-product economic production quantity (EPQ) with a single-vendor multi-buyer with shortage as a backorder. Within the SC, there are some real constraints, such as inventory turnover ratio, waste disposal to the environment, carbon dioxide emissions, and available budgets for customers. For optimization purposes, three recent metaheuristic algorithms, including Ant Lion Optimizer, Lion Optimization Algorithm, and Whale Optimization Algorithm, are suggested to determine a near-optimum solution to an \"exergy fuzzy nonlinear integer-programming (EFNIP).\" Moreover, an exact method (GAMS) is employed to validate the results of the suggested algorithms. Additionally, sensitivity analyses with different percentages of exergy parameters, such as capital, labor, and environmental remediation, are done to gain a deeper understanding of sustainability improvement in coal SCs. The results showed that sustainable coal SC in the USA has the lowest fuzzy total exergy, while Poland and China have the highest.","PeriodicalId":50441,"journal":{"name":"Flexible Services and Manufacturing Journal","volume":" ","pages":"1-69"},"PeriodicalIF":2.7,"publicationDate":"2023-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257387/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10076480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A digital twin-driven flexible scheduling method in a human-machine collaborative workshop based on hierarchical reinforcement learning. 一种基于层次强化学习的数字孪生驱动的人机协同车间柔性调度方法。

IF 2.7 3区工程技术

Flexible Services and Manufacturing Journal Pub Date : 2023-05-17 DOI: 10.1007/s10696-023-09498-7

Rong Zhang, Jianhao Lv, Jinsong Bao, Yu Zheng

{"title":"A digital twin-driven flexible scheduling method in a human-machine collaborative workshop based on hierarchical reinforcement learning.","authors":"Rong Zhang, Jianhao Lv, Jinsong Bao, Yu Zheng","doi":"10.1007/s10696-023-09498-7","DOIUrl":"10.1007/s10696-023-09498-7","url":null,"abstract":"Under the influence of the global COVID-19 pandemic, the demand for medical equipment and epidemic prevention materials has increased significantly, but the existing production lines are not flexible and efficient enough to dynamically adapt to market demand. The human-machine collaboration system combines the advantages of humans and machines, and provides feasibility for implementing different manufacturing tasks. With dynamic adjustment of robots and operators in the production line, the flexibility of the human-machine collaborative production line can be further improved. Therefore, a parallel production line is set up as a parallel community, and the digital twin community model of the intelligent workshop is constructed. The fusion and interaction between the production communities enhance the production flexibility of the manufacturing shop. Aiming at the overall production efficiency and load balancing state, a digital twin-driven intra-community process optimization algorithm based on hierarchical reinforcement learning is proposed, and as a key framework to improve the production performance of production communities, which is used to optimize the proportion of human and machine involvement in work. Finally, taking the assembly process of ventilators as an example, it is proved that the intelligent scheduling strategy proposed in this paper shows stronger adjustment ability in response to dynamic demand as well as production line changes.","PeriodicalId":50441,"journal":{"name":"Flexible Services and Manufacturing Journal","volume":" ","pages":"1-23"},"PeriodicalIF":2.7,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189229/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9692317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Efficiency in radiology departments: a two-stage analysis 放射科的效率:两阶段分析

IF 2.7 3区工程技术

Flexible Services and Manufacturing Journal Pub Date : 2023-05-08 DOI: 10.1007/s10696-023-09499-6

Filippo Visintin, D. Aloini, Simone Gitto, Sara Vannelli, D. di Feo

引用次数: 0