Agnieszka Kujawińska

Dr. Agnieszka Kujawińska

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2015 in Management and Production Engineering Review
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Journal Article
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Agnieszka KujawińskaAgnieszka Kujawińska
Agnieszka Kujawińska
KVKatarzyna Vogt
Katarzyna Vogt
Details var a2a_config = a2a_config || {}; a2a_config.onclick = 1; a2a_config.locale = "pl"; a2a_config.color_main = "D7E5ED"; a2a_config.color_border = "9D9D9D"; a2a_config.color_link_text = "ffffff"; a2a_config.color_link_text_hover = "ffffff"; a2a_config.color_bg = "d9d9d9"; a2a_config.icon_color = "#4e4e4e"; a2a_config.exclude_services = ["dihitt", "delicious", "whatsapp", "dzone", "sms", "stumpedia", "viber", "yahoo_messenger", "google_plus"]; Details PDF BIBTEX RIS Title Human Factors in Visual Quality Control Journal title Management and Production Engineering Review Yearbook 2015 Issue No 2 Authors Kujawińska, Agnieszka ; Vogt, Katarzyna Keywords Wydział IV Nauk Technicznych Divisions of PAS Wydział IV Nauk Technicznych Publisher Production Engineering Committee of the Polish Academy of Sciences, Polish Association for Production Management Date 2015[2015.01.01 AD - 2015.12.31 AD] Identifier DOI: 10.1515/mper-2015-0013 Source Management and Production Engineering Review; 2015; No 2 Aims and scope MISSION STATEMENT Management and Production Engineering Review (MPER) is a peer-refereed, international, multidisciplinary journal covering a broad spectrum of topics in production engineering and management. Production engineering is a currently developing stream of science encompassing planning, design, implementation and management of production and logistic systems. Orientation towards human resources factor differentiates production engineering from other technical disciplines. The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on production management, organisation of production processes, manage- ment of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, forecasting, modelling and simu- lation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work, supply chain optimization and logistics. Management and Production Engineering Review is published under the auspices of the Polish Academy of Sciences Committee on Production Engineering and Polish Association for Production Management. The main purpose of Management and Production Engineering Review is to publish the results of cutting- edge research advancing the concepts, theories and implementation of novel solutions in modern manufacturing. Papers presenting original research results related to production engineering and management education are also welcomed. We welcome original papers written in English. The Journal also publishes technical briefs, discussions of previously published papers, book reviews, and editorials. Letters to the Editor-in-Chief are highly encouraged. SUBMISSION Papers for submission should be prepared according to the Authors Instructions available at: www.journals.pan.pl/mper SUBSCRIPTION Only subscription guarantees receiving this journal. Subscription orders stating the period of time, along with the subscriber’s name and address should be sent directly to the Editorial Office. Back issues of all previously published volumes are available on request. Subscription price for 2021, Volume 12, including postage and handling, is 200 PLN. Abstracting & Indexing Index Copernicus Web of Science - Clarivate (ESCI) Scopus - Elsevier SCIMAGO: (CiteScore 2020 - 2.5 SJR 2020 - 0.332 SNIP 2020 - 1.061)

2 November 2010 in Human Factors and Ergonomics in Manufacturing & Service Industries
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Journal Article
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AHAdam Hamrol
Adam Hamrol
DKDagmara Kowalik
Dagmara Kowalik
Agnieszka KujawińskaAgnieszka Kujawińska
Agnieszka Kujawińska

2 January 2021 in The International Journal of Advanced Manufacturing Technology
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Journal Article
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Agnieszka KujawińskaAgnieszka Kujawińska
Agnieszka Kujawińska
MHMagdalena HRYB
Magdalena HRYB

27 May 2020 in The International Journal of Advanced Manufacturing Technology
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Journal Article
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AHAdam Hamrol
Adam Hamrol
Agnieszka KujawińskaAgnieszka Kujawińska
Agnieszka Kujawińska
MBMariusz Bożek
Mariusz Bożek
This paper proposes an approach to the planning and optimization of quality inspections within a multistage manufacturing process based on quality costs and the value added to the production process by inspections. Inspection errors and the resulting costs of repair and scrapping are taken into account. In addition, the capability of the manufacturing process and of the inspection system is included. A mathematical model for calculating quality costs was developed with a focus on its practical application.

22 January 2015
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Book Chapter
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Agnieszka KujawińskaAgnieszka Kujawińska
Agnieszka Kujawińska
KVKatarzyna Vogt
Katarzyna Vogt
FWFryderyk Wachowiak
Fryderyk Wachowiak

1 February 2015 in Key Engineering Materials
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Journal Article
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MHMagdalena HRYB
Magdalena HRYB
AHAdam Hamrol
Adam Hamrol
Agnieszka KujawińskaAgnieszka Kujawińska
Agnieszka Kujawińska
The paper presents new procedure of methodology for statistical assessment of measurement systems variation (methodology known in the literature as Measurement Systems Analysis, MSA). This procedure allows for calculation and monitoring in real time (that is on-line) of measurement system (MS) characteristics which determine its usability for manufacturing process control. The presented solution pointed out the gap in process control, which consists in lack of methods for monitoring measurement processes in the on-line way. Their key point consists of taking samples that are also needed for the process control chart for the needs of the MSA method. This means that the samples are taken directly from the production line and during the production process. The method is combined with the standard procedure of statistical process control (SPC) with the use of process control charts. It is based on two control charts. The first one is called AD-chart (Average Difference chart) and it allows to estimate the variation between the operators and stability of the monitored measurement system. The second control chart illustrates the %R&R index (Repeatability and Reproducibility) and allows to monitor the MS capability.The paper also presents authors’ proposal of guidelines about the reference value for the %R&R index calculation and assessment. Recommendations and guidelines for choosing the reference value are based on two criteria: information about sample and manufacturing process variation and the purpose of using MS (product or process control).