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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
41

Utveckling av det iterativa lärandet genom PDCA-cykeln : Fallstudie på ett mejeri / Development of iterative learning through the PDCA cycle

Jönander, Anna, Silfver, Sofia January 2021 (has links)
In today's society, much is based on standards and standardized working methods. ISO standards can be seen as a way of organizing according to different requirements to ensure, for example, food safety or quality in different processes. All ISO standards are based on the fundamental approach of the PDCA cycle, that promotes iterative learning in organizations. The study examines how a dairy can improve the work with follow-up and compliance. The study has a primary focus on the last two parts of the PDCA cycle. The empirical material states that the employees feel that an unclear ownership and division of responsibilities, lack of resources, time and locked competence are the basis for the organization's lack of work with follow-up and compliance. Through a root cause analysis and the approach of "Five why?" root causes could be determined and placed in a relationship diagram. In a further analysis of the root causes of lack of follow-up and compliance through a relationship diagram, two themes could be identified, organizational culture and lack of requirements and clear responsibilities. The two themes led to concrete solutions proposals consistent with ISO 14001:2015 and 22,000:2019 requirements. It turned out that all root causes seemed to link together and proves that by starting work on one root cause, it will have consequences for the others. To improve and develop the dairy's work with follow-up and compliance following implementation proposals are presented in the study: - Build a structured toolbox - Create role description - Integrate requirements from management / I dagens samhälle grundar sig mycket på standarder och standardiserade arbetssätt. ISO standarder kan ses som ett sätt att organisera efter olika krav för att säkerställa exempelvis livsmedelssäkerhet eller kvalitet i olika processer. Samtliga ISO-standarder bygger på det grundläggande angreppssättet PDCA-cykeln, vilket främjar det iterativa lärandet i organisationer. Det handlar om att följa upp och lära sig av händelser i samtliga processer. Studien undersöker hur ett mejeri kan förbättra och utveckla arbetet med uppföljning och efterlevnaden i standardarbetet, med säkerskilt fokus på PDCA-cykelns två sista delar. Det empiriska materialet fastställer att medarbetarna upplever att ett otydligt ägandeskap och ansvarsfördelning, resursbrist, tid och låst kompetens ligger till grund för organisationens bristande arbete med uppföljning och efterlevnad. Genom en rotorsaksanalys och tillvägagångssättet med ”Fem-varför?” kunde rotorsaker fastställas och placerades i ett relationsdiagram. Vid vidare analys av rotorsakerna till bristande uppföljning och efterlevnad genom ett relationsdiagram kunde två teman kartläggas, vilka var den befintliga organisationskulturen samt bristande krav och ansvarsroller. Studien lyfter olika perspektiv för de två teman, vilka mynnar ut i konkreta lösningsförslag i enlighet med ISO 14001:2015 och 22 000:2019 krav på berörda områden. Det framgick att samtliga rotorsaker tycks sammanlänka och påvisar att genom att börja arbeta med en rotorsak kommer det få konsekvens på de övriga. För att förbättra och utveckla mejeriets arbete med uppföljning och efterlevnad presenteras följande lösningsförslag med tillhörande implementeringsförslag: - Bygga en strukturerad verktygslåda - Skapa rollbeskrivning - Integrera krav från ledningen
42

Systém řízení nákladů na kvalitu ve vybraném podniku / The system of quality costs management in the chosen company

TONDLOVÁ, Kateřina January 2012 (has links)
The quality of products is the biggest competitive advantage that a company can achieve. The definition states that quality is the degree of compliance requirement with a set of inherent characteristics. The importance of quality have very increased in recent years - quality is a decisive factor for stable economic growth of enterprises, management quality is the most important protective factor of the loss of markets, quality is a major source of saving materials and energy, the quality affects of macroeconomic indicators, the quality is a limiting factor for the sustainable development , quality and consumer protection are connected vessels. Quality costs are the total costs incurred by producers, users and companies associated with the quality of the product. The quality costs of the manufacturer is divided into four basic groups: the costs of prevention, assessment, costs of external defects and internal defects.
43

Anomaly Detection in RFID Networks

Alkadi, Alaa 01 January 2017 (has links)
Available security standards for RFID networks (e.g. ISO/IEC 29167) are designed to secure individual tag-reader sessions and do not protect against active attacks that could also compromise the system as a whole (e.g. tag cloning or replay attacks). Proper traffic characterization models of the communication within an RFID network can lead to better understanding of operation under “normal” system state conditions and can consequently help identify security breaches not addressed by current standards. This study of RFID traffic characterization considers two piecewise-constant data smoothing techniques, namely Bayesian blocks and Knuth’s algorithms, over time-tagged events and compares them in the context of rate-based anomaly detection. This was accomplished using data from experimental RFID readings and comparing (1) the event counts versus time if using the smoothed curves versus empirical histograms of the raw data and (2) the threshold-dependent alert-rates based on inter-arrival times obtained if using the smoothed curves versus that of the raw data itself. Results indicate that both algorithms adequately model RFID traffic in which inter-event time statistics are stationary but that Bayesian blocks become superior for traffic in which such statistics experience abrupt changes.

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