Title

Application of Expectation Maximization Method for Purchase Decision-Making Support in Welding Branch

Journal title

Management and Production Engineering Review

Yearbook

2016

Issue

No 2

Authors

Rogalewicz, Michał ; Kujawińska, Agnieszka ; Diering, Magdalena

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

2016

Identifier

DOI: 10.1515/mper-2016-0014

Source

Management and Production Engineering Review; 2016; No 2

References

Abbas (2008), Comparisons between data clustering algorithms of, Int Arab Inf Tech, 5, 320. ; Grudzień (2016), Information quality in design process documentation of quality management systems of, Int J Inf Man, 36, 599, doi.org/10.1016/j.ijinfomgt.2016.03.011 ; Rogalewicz (2012), Selection of data mining method for multidimensional evaluation of the manufacturing process state and, Man Prod Eng Review, 3, 27. ; Janćikova (2008), Application of artificial intelligence methods for prediction of steel mechanical properties, Metalurgija, 47, 339. ; Sika (2008), Implementation of the KMES Quality system for data acquisition and processing on the example of chosen foundry of Foundry, Arch, 8, 97. ; Stachowiak (2014), An Interval - Valued Fuzzy Classi er Based on an Uncertainty - Aware Similarity Measure Intelligent Systems Advances in Intelligent Systems and Computing, Springer, 32, 741. ; Chai (2013), Application of decisionmaking techniques in supplier selection : A systematic review of literature with, Exp Sys Appl, 40, 3872, doi.org/10.1016/j.eswa.2012.12.040 ; Murtagh (2012), Algorithms for hierarchical clustering : an overview Data Mining and Know, Rev Disc, 2, 86. ; Cao (2010), Domain - driven Data Mining : challenges and prospects and Data IEEE, Know Eng Trans, 22, 755, doi.org/10.1109/TKDE.2010.32 ; Popat (2014), Review and comparative study of clustering techniques of and, Int J Comp Inf Tech, 5, 805.

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 biuro@ptzp.org.pl. Back issues of all previously published volumes are available on request. Subscription price for 2023, Volume 14, including postage and handling, is 240 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)