| 1. |
- van Laere, Joeri, et al.
(författare)
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Challenges for critical infrastructure resilience : Cascading effects of payment system disruptions
- 2017
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Ingår i: Proceedings of the 14th ISCRAM Conference. - Linköping : Linköping university. ; , s. 281-292, s. 281-292, s. 281-292
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Konferensbidrag (refereegranskat)abstract
- Critical infrastructures become more and more entangled and rely extensively on information technology. A deeper insight into the relationships between critical infrastructures enables the actors involved to more quickly understand the severity of information technology disruptions and to identify robust cross-functional mitigating actions. This study illustrates how and why disruptions in the payment system in Sweden could create cascading effects in other critical infrastructures with potentially severe consequences for many citizens, government institutions and companies. Data from document studies, interviews and workshops with field experts reveal seven challenges for collective cross-functional critical infrastructure resilience that need to be dealt with: 1) Shortage of food, fuel, cash, medicine; 2) Limited capacity of alternative payment solutions; 3) Cities are more vulnerable than the countryside; 4) Economically vulnerable groups in society are more severely affected; 5) Trust maintenance needs; 6) Crisis communication needs; 7) Fragmentation of responsibility for critical infrastructures across many actors.
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| 2. |
- Najjar Azali, Negin, 1992-, et al.
(författare)
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On the Need of BIM Implementation in the Historical Buildings Renovation : An Analytical KMS-based Approach Toward Upgrading the Existing Renovation Design Methods to the Building Information Model in Iran
- 2016
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Konferensbidrag (refereegranskat)abstract
- BIM (Building Information Modeling) is the new trend in accordance with the management of the information related to building design and construction; some countries such as Denmark, Singapore and the United Kingdom have mandated the implementation of BIM method for their public construction projects and considered BIM documentation/implementation as a part of their national regulations/codes. So far, there is not such a ground rule/platform in Iran to provide and improve public construction/design contracts based on BIM implementation. This gap makes the management of the generated associated knowledge difficult to capture and eventually would not support the needed effective dissemination of the prospect knowledge. Particularly the practical implementation, the associated knowledge acquisition, and application of BIM remain a major issue, in our case for the renovation projects in Iran, although the related software are in common usage. The ultimate goal of this paper is to gain a more acute perspective into the implementation of Building Information Modeling (BIM) through the renovation of the cultural/historic places/buildings and the related innovative operational approach, addressing various projects around the world by developing a conceptual model as a Knowledge Management System (KMS); it reveals that BIM adaptation for public historical renovations in Iran which not only helps to mitigate the Knowledge Management problems but also attract global actors to participate in the mentioned field beside the platform development of the KM. The establishment of the KMS and the associated dynamism must be through the core management approach and strategy of the contributing enterprises, providing the human, financial and material resources to the process; additionally, it is essential to capture and systematized generated information and knowledge throughout the lifecycle of the renovation projects. The methodology is based on a literature review of the BIM-oriented renovation investigating of the actual projects and the development of a conceptual model toward fulfilling the gap of the key management factors such as indecisive sustainability, weak project execution, unclear or divergent project goals, lack of funding or resources, lack of design and renovation standards, etc. By implementation of BIM as a knowledge-based approach in the renovation of historical and cultural projects, our conceptual model uses BIM as an information exchange framework to manage knowledge in renovation project. The paper concludes with a potential broad discussion of suggestions supporting the adaptation of BIM at the renovation stage of historical projects in Iran based on the research findings.
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| 3. |
- Rabet, Rahmat, et al.
(författare)
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A simheuristic approach towards supply chain scheduling : Integrating production, maintenance and distribution
- 2024
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Ingår i: Applied Soft Computing. - : Elsevier. - 1568-4946 .- 1872-9681. ; 153
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Tidskriftsartikel (refereegranskat)abstract
- This study attempts to integrate production, maintenance, and delivery operations among supply chain members. Despite numerous studies in the field of supply chain management, researchers have often overlooked crucial aspects, such as uncertainties in demand and production. For instance, the significant impact of maintenance activities on production flow has been underrepresented in supply chain management literature. This study investigates these gaps in the context of a fertilizer producer case study, which is characterized by seasonal demand and the functional silos syndrome due to old-fashioned management approaches. This study proposes a mathematical model and two multi-objective simheuristics for the Integrated Production, Maintenance, and Distribution Scheduling Problem (IPMDSP) considering demand variation for multiple products and product delivery time-windows using a heterogeneous fleet of vehicles. The IPMDSP is solved using the ϵ-constraint method and simheuristics linking the simulation model to customized and tuned versions of Particle Swarm Optimization (MOPSO) and the Non-dominated Sorting Genetic Algorithm (NSGA-II). The optimization objectives include minimizing maintenance duration, distribution costs, and customer dissatisfaction due to delivery tardiness. The results demonstrate the superiority of the simheuristic empowered by NSGA-II over the MOPSO in solving the IPMDSP. The comparison between the performance of deterministic and stochastic approaches in addressing the problem reveals that neglecting uncertainty caused by maintenance activities can lead to an increase in optimization objectives. Furthermore, the proposed simheuristics achieved significant improvements in minimizing objectives in solving the fertilizer producer case study.
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| 4. |
- Alklind Taylor, Anna-Sofia, 1975-, et al.
(författare)
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Guardian Angel : Using Lighting Drones to Improve Traffic Safety, Sense of Security, and Comfort for Cyclists
- 2023
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Ingår i: Lecture Notes in Computer Science. - Cham : Springer. - 9783031480461 - 9783031480478 ; , s. 209-223
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Konferensbidrag (refereegranskat)abstract
- Active mobility, such as biking, faces a common challenge in Swedish municipalities due to the lack of adequate lighting during the dark winter months. Insufficient lighting infrastructure hinders individuals from choosing bicycles, despite the presence of well-maintained bike paths and a willingness to cycle. To address this issue, a project has been undertaken in the Swedish municipality of Skara for an alternative lighting solution using drones. A series of tests have been conducted based on drone prototypes developed for the selected bike paths. Participants were invited to cycle in darkness illuminated by drone lighting and share their mobility preferences and perception. This paper summarizes the users’ perception of drone lighting as an alternative to fixed lighting on bike paths, with a special focus on the impact on travel habits and the perceived sense of security and comfort. Most participants were regular cyclists who cited bad weather, time, and darkness as significant factors that deterred them from using bicycles more frequently, reducing their sense of security. With drone lighting, the participants appreciated the illumination’s moonlight-like quality and its ability to enhance their sense of security by illuminating the surroundings. On the technology side, they gave feedback on reducing the drone’s sound and addressing lighting stability issues. In summary, the test results showcase the potential of drone lighting as a viable alternative to traditional fixed lighting infrastructure, offering improved traffic safety, sense of security, and comfort. The results show the feasibility and effectiveness of this innovative approach, supporting transformation towards active and sustainable mobility, particularly in regions facing lighting challenges.
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| 5. |
- Hooshyar Yousefi, Bahram, Senior Lecturer, 1977-, et al.
(författare)
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Integration of BIM and IoT in the Building Heritage : A KM Conceptual Framework
- 2018
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Ingår i: Landscape in Transition. - Tehran : IFLA, Middle East. - 9786220005025 ; , s. 11-23
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Konferensbidrag (refereegranskat)abstract
- The current progress in the field of Building Informa on Modeling (BIM) and the new possibili es facilitated by IoT (Internet of Things) pla orms could contribute to the stream of the integra ng improvement of the knowledge-based built heritage management. In this paper, ُthe concept of integra on of BIM and IoT would appear as a process of coordina on of all phases under a proper knowledge-based strategic approach. The op mal provided model would eventually be essen al to integrate common sub-processes grounded on the developed BIM-IoT principles/model. The eventual model has been conceptualized through the correspondence of BIM with WSN (Wireless Sensors Network) as the central management brain of the opera on and maintenance of the buildings referring to the sustainability concept and conducts as a Knowledge Management System (KMS).
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| 6. |
- Salin, Hannes, et al.
(författare)
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A Gap Analysis of the Adoption Maturity of Certificateless Cryptography in Cooperative Intelligent Transportation Systems
- 2023
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Ingår i: Journal of Cybersecurity and Privacy. - : MDPI. - 2624-800X .- 2624-800X. ; 3:3, s. 591-609
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Tidskriftsartikel (refereegranskat)abstract
- Cooperative Intelligent Transport Systems (C-ITSs) are an important development for society. C-ITSs enhance road safety, improve traffic efficiency, and promote sustainable transportation through interconnected and intelligent communication between vehicles, infrastructure, and traffic-management systems. Many real-world implementations still consider traditional Public Key Infrastructures (PKI) as the underlying trust model and security control. However, there are challenges with the PKI-based security control from a scalability and revocation perspective. Lately, certificateless cryptography has gained research attention, also in conjunction with C-ITSs, making it a new type of security control to be considered. In this study, we use certificateless cryptography as a candidate to investigate factors affecting decisions (not) to adopt new types of security controls, and study its current gaps, key challenges and possible enablers which can influence the industry. We provide a qualitative study with industry specialists in C-ITSs, combined with a literature analysis of the current state of research in certificateless cryptographic in C-ITS. It was found that only 53% of the current certificateless cryptography literature for C-ITSs in 2022–2023 provide laboratory testing of the protocols, and 0% have testing in real-world settings. However, the trend of research output in the field has been increasing linearly since 2016 with more than eight times as many articles in 2022 compared to 2016. Based on our analysis, using a five-phased Innovation-Decision Model, we found that key reasons affecting adoption are: availability of proof-of-concepts, knowledge beyond current best practices, and a strong buy-in from both stakeholders and standardization bodies.
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| 7. |
- Trapero, Juan R., et al.
(författare)
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On the identification of sales forecasting models in the presence of promotions
- 2015
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Ingår i: Journal of the Operational Research Society. - : Taylor & Francis. - 0160-5682 .- 1476-9360. ; 66:2, s. 299-307
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Tidskriftsartikel (refereegranskat)abstract
- Shorter product life cycles and aggressive marketing, among other factors, have increased the complexity of sales forecasting. Forecasts are often produced using a Forecasting Support System that integrates univariate statistical forecasting with managerial judgment. Forecasting sales under promotional activity is one of the main reasons to use expert judgment. Alternatively, one can replace expert adjustments by regression models whose exogenous inputs are promotion features (price, display, etc). However, these regression models may have large dimensionality as well as multicollinearity issues. We propose a novel promotional model that overcomes these limitations. It combines Principal Component Analysis to reduce the dimensionality of the problem and automatically identifies the demand dynamics. For items with limited history, the proposed model is capable of providing promotional forecasts by selectively pooling information across established products. The performance of the model is compared against forecasts provided by experts and statistical benchmarks, on weekly data; outperforming both substantially.
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| 8. |
- Flores-García, Erik, et al.
(författare)
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Characterizing Digital Dashboards for Smart Production Logistics
- 2022
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Ingår i: Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. - Cham : Springer Nature Switzerland AG. - 9783031164101 - 9783031164118 ; , s. 521-528, s. 521-528
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Konferensbidrag (refereegranskat)abstract
- Developing digital dashboards (DD) that support staff in monitoring, identifying anomalies, and facilitating corrective actions are decisive for achieving the benefits of Smart Production Logistics (SPL). However, existing literature about SPL has not sufficiently investigated the characteristics of DD allowing staff to enhance operational performance. This conceptual study identifies the characteristics of DD in SPL for enhancing operational performance of material handling. The study presents preliminary findings from an ongoing laboratory development, and identifies six characteristics of DD. These include monitoring, analysis, prediction, identification, recommendation, and control. The study discusses the implications of these characteristics when applied to energy consumption, makespan, on-time delivery, and status for material handling. The study proposes the prototype of a DD in a laboratory environment involving Autonomous Mobile Robots.
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| 9. |
- Fornlöf, Veronica, 1984-, et al.
(författare)
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On-Condition Parts Versus Life Limited Parts : A Trade off in Aircraft Engines
- 2016
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Ingår i: Current Trends in Reliability, Availability, Maintainability and Safety. - Cham : Encyclopedia of Global Archaeology/Springer Verlag. - 9783319235967 - 9783319235974 ; , s. 253-262
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Konferensbidrag (refereegranskat)abstract
- Maintaining an aircraft engine is both complex and time consuming since an aircraft is an advanced system with high demands on safety and reliability. Each maintenance occasion must be as effective as possible and the maintenance need to be executed without performing excessive maintenance. The aim of this paper is to describe the essence of aircraft engine maintenance and to point out the potential for improvement within the maintenance planning by improving the remaining life predictions of the On-Condition parts, i.e. parts that are not given a fixed life limit.
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| 10. |
- Galar, Diego, et al.
(författare)
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Big Data in Asset Management : Knowledge Discovery in Asset Data by the Means of Data Mining
- 2016
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Ingår i: Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015). - Cham : Springer. - 9783319270623 - 9783319270647 - 3319270648 ; , s. 161-171
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Konferensbidrag (refereegranskat)abstract
- Assets are complex mixes of complex systems, built from components which, over time, may fail. The ability to quickly and efficiently determine the cause of failures and propose optimum maintenance decisions, while minimizing the need for human intervention is necessary. Thus, for complex assets, much information needs to be captured and mined to assess the overall condition of the whole system. Therefore the integration of asset information is required to get an accurate health assessment of the whole system, and determine the probability of a shutdown or slowdown. Moreover, the data collected are not only huge but often dispersed across independent systems that are difficult to access, fuse and mine due to disparate nature and granularity. If the data from these independent systems are combined into a common correlated data source, this new set of information could add value to the individual data sources by the means of data mining. This paper proposes a knowledge discovery process based on CRISP-DM for failure diagnosis using big data sets. The process is exemplified by applying it on railway infrastructure assets. The proposed framework implies a progress beyond the state of the art in the development of Big Data technologies in the fields of Knowledge Discovery algorithms from heterogeneous data sources, scalable data structures, real-time communications and visualizations techniques.
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