| 1. |
- 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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| 2. |
- Schmidt, Bernard, 1981-, et al.
(författare)
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Context Awareness in Predictive Maintenance
- 2016
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Ingår i: Current Trends in Reliability, Availability, Maintainability and Safety<em></em>. - Cham : Springer. - 9783319235974 - 9783319235967 ; , s. 197-211
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Bokkapitel (refereegranskat)abstract
- Maintenance of assembly and manufacturing equipment is crucial to ensure productivity, product quality, on-time delivery, and a safe working environment. Predictive Maintenance approach utilizes the condition monitoring (CM) data to predict the future machine conditions and makes decisions upon this prediction. Recent development in CM leads to context aware approach where in parallel with CM measurements also data and information related to the context are gathered. Context could be operational condition, history of machine usage and performed maintenance actions. In general more obtained information gives better accuracy of prediction. It is important to track operational context in dynamically changing environment. Today in manufacturing we can observe shift from mass production to mass customisation. This leads to changes from long series of identical products to short series of different variants. Therefore implies changing operational conditions for manufacturing equipment. Moreover, where asset consist of multiple identical or similar equipment the context aware method can be used to combine in reliable way information. This should allow to increase accuracy of prediction for population as a whole as well as for each equipment instances. Same of those data have been already recorded and stored in industrial IT systems. However, it is distributed over different IT systems that are used by different functional units (e.g. maintenance department, production department, quality department, tooling department etc.). This paper is a conceptual paper based on initial research work and investigation in two manufacturing companies from automotive industry.
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| 3. |
- Schmidt, Bernard, 1981-, et al.
(författare)
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Context preparation for predictive analytics – a case from manufacturing industry
- 2017
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Ingår i: Journal of Quality in Maintenance Engineering. - : Emerald Publishing Limited. - 1355-2511 .- 1758-7832. ; 23:3, s. 341-354
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Tidskriftsartikel (refereegranskat)abstract
- PurposeThe purpose of this paper is to exemplify and discuss the context aspect for predictive analytics where in parallel condition monitoring (CM) measurements data and information related to the context are gathered and analysed.Design/methodology/approachThis paper is based on an industrial case study, conducted in a manufacturing company. The linear axis of a machine tool has been selected as an object of interest. Available data from different sources have been gathered and a new CM function has been implemented. Details about performed steps of data acquisition and selection are provided. Among the obtained data, health indicators and context-related information have been identified.FindingsMultiple sources of relevant contextual information have been identified. Performed analysis discovered the deviations in operational conditions when the same machining operation is repeatedly performed.Originality/valueThis paper shows the outcomes from a case study in real word industrial setup. A new visualisation method of gathered data is proposed to support decision-making process.
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| 4. |
- Ávila-Zúñiga Nordfjeld, Adriana, 1977-, et al.
(författare)
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Proposing a Mathematical Dynamic Model to Develop a National Maritime Security Assessment and Build a National Maritime Security Plan
- 2023
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Ingår i: Journal of Maritime Research. - : Universidad de Cantabria. - 1697-4840 .- 1697-9133. ; 20:3, s. 123-132
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Tidskriftsartikel (refereegranskat)abstract
- A proper assessment of maritime security risks at the national level is crucial to a national maritime security plan (NMSP) in order to secure the concerned country’s ports, vessels and territorial sea. Thus, the importance of implementing a national maritime security assessment (NMSA) to counter security threats and ensure the continuity of national and international trade. The most important set of international regulations concerning maritime security is the International Ship and Port Facility Security (ISPS) Code, which includes revision, approval and control of compliance of the Port Facility Security Plan (PFSP), which shall be based upon the Port Facility Security Assessment (PFSA). This paper proposes a mathematical dynamic model that calculates in real time the residual risk for the whole country and each of its ports by adapting and expanding the formula and procedures established in the Code, which since it has already been implemented around the world, gives the opportunity to take advantage of this quantitative solution to administrate maritime security risks on a nation-wide basis and create an effective national maritime security plan, which would allow the concerned authorities to improve situational awareness and adapt to security changes through a better planning of human, economic and material resources to deter security threats. The model was tested with the use of five encoded categories as countries, each of them with three ports, which encompassed three port facilities. The results indicate that this methodology is easy to implement and widespread use of that model could strength robustness in national security.
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