The article presents a study of applying the proposed method of cluster analysis to support purchasing decisions in the welding industry. The authors analyze the usefulness of the non-hierarchical method, Expectation Maximization (EM), in the selection of material (212 combinations of flux and wire melt) for the SAW (Submerged Arc Welding) method process. The proposed approach to cluster analysis is proved as useful in supporting purchase decisions.
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A paper is a discussion about necessity for measurement systems analysis (MSA) during manufacturing process. MSA methods allow to increase the quality of gathered data; the better the quality of data . the bigger the benefit from its usage, with decreased expense of its gaining. After many conversations with experts and authorities from quality management field and after questionnaire ad hoc research there has drawn up a new attitude to MSA which can be characterized by taking the measurements directly from the work position and during the production process. Authors present a new method - with on-line character. There is also an intention to subject the research results to the readers consideration. In that method, first worker, being at the same time operator of the measurement equipment, carry out the in sequence measurements of a given feature immediately on their workplaces in the course of daily work (like it is done for SPC control charts), for instance at the end of his shift, and lay the parts aside in assign place. Next operator, for example during second shift, repeats measurements on the same sample of parts and put them back into the manufacturing process. That change will help in eliminating a part of the observed changeability characteristic for the analysis in its so far type, which is laden with the impact of changing environmental conditions during the assessment. Proposed the way of data collection limits number of repeats - values of first set measurements are from these taken for SPC (usage existing data). Authors proposed two new charts for current control . Average Difference chart (AD-chart) to monitor differences between operators and %R&R index chart (%R&R-chart) to monitor in on-line way (current) quality level of measurement system. It is important to lead those charts concurrently (simultaneously) to may make correct decisions about measurement system quality condition and acceptance it.
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The text is the second part of the article on the current method for evaluating the suitability of the measurement systems in manufacturing processes. In the first part [1] pointed out the gap in statistical process control, which was demonstrated by the lack of control methods for measuring and monitoring processes in on-line way. Article presents an original method for evaluating the suitability of the current measurement system in the manufacturing process and describes the graphical tools that were developed for the purpose of monitoring the precision of the measurement system. AD-chart (Average Difference chart) and the %R&R index chart. In this part of the article the authors present the proposed solutions developed for computer implementation. The resulting software is called IRRA (Instanteous %R&R Analysis) which presents short-term analysis of the %R&R. The main objective is to enable by application IRRA to analyze the measurement process in parallel with the assessment of the manufacturing process with the use of copyright control charts: AD-chart and %R&R-chart and evaluation system for measuring in on-line way. It also describes the verification tests for on-line method, which were carried out in selected manufacturing companies.
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Many factors affect success of organization. Factors as knowledge, capability, personalities, internal motivation, organizational environment are factors of organization. Implementation of the quality management system (QMS) into organization brings great number of changes seeking to the excellence. These changes are very significant also for other factors: policy, planning, organizing, organizational structure, culture of the quality and similar. Certainly, for observable effects of these changes time is needed. This paper presents results of researches of selected organizational factors in organizations in the area of Bosnia and Herzegovina (B&H). Results of these researches were obtained by triangulation method. Information were received from 204 certified organizations, 31 consultants and 11 certification houses from B&H. Data were collected using questionnaires. Authors considered data due to the activity of organization (manufacturing and/or service activity), from the point of view company size and due to the time elapsed since the implementation of QMS. Authors especially dealt with the influence of time of possession the certified quality system on selected organizational factors (with keynote statement that quality system should be built "yesterday, but not tomorrow"). Authors studied if organizations which introduced QMS earlier have achieved greater positive effects on organizational factors that other companies.
Analiza systemów pomiarowych jest istotnym elementem w doskonaleniu procesów wytwarzania. Autorzy przeprowadzili badanie kwestionariuszowe, do którego zaprosili kilkadziesiąt przedsiębiorstw produkcyjnych. Głównym celem tego badania było uzyskanie informacji na temat stosowania i przydatności metod i narzędzi statystycznego sterowania procesami wytwarzania i procesami pomiarowymi w przedsiębiorstwach przemysłowych. Analiza kwestionariuszy miała także wskazać warunki sprzyjające stosowaniu metod analizy systemów pomiarowych w przedsiębiorstwach, a także ich bariery. Istotne było również zbadanie opinii inżynierów praktyków o metodzie oceny przydatności systemu pomiarowego w trakcie procesu wytwarzania. W artykule opisano metodologię przeprowadzonego badania, przedstawiono profil respondenta, wyniki badania oraz wnioski z ich analizy.
EN
A measurement system analysis (MSA) is a vital component for many quality improvement initiatives in production enterprises. Premises which persuaded authors to research on MSA mainly are existing conditions in measurements quality control field. Recently there had been prepared an special inquiry and had carried out the sample survey in few dozen production enterprises which run their business in Wielkopolska Province in Poland. The aim of this paper is to describe research methodology, respondents profile, results and conclusions from the surveys and to justify that taken research is right and needed. There is also an intention to subject the poll research results to the readers consideration. After many conversations with experts and authorities from quality management field and after questionnaire ad hoc research there has drawn up an online idea for MSA. Online MSA is characterized by taking the measurements directly from the work position and during the production process. The another purpose of this paper is to define this new conception.
This paper is discussion about necessity for a measurement systems analysis (MSA) in production enterprises. Authors of this article are suggesting a new approach to MSA analysis. To make correct decisions about manufacturing process, the process courses must be regularly monitored for production quality and evaluated. The measurement system analysis demands a good additional organizational conditions. These requirements are caused additional time and costs. Authors of this article are conducting a research in discussed range to affirm if the measurement system can be estimated in production conditions - during the running production, that is online. This new "location" for the measurement system analysis can be defined as a essence of new approach to MSA procedure.
PL
Artykuł traktuje o konieczności analizowania stosowanych w przedsiębiorstwach produkcyjnych systemów pomiarowych (MSA). Autorzy proponują nowe podejście do analizy MSA. By decyzje dotyczące przebiegu procesu wytwarzania były prawidłowe, należy przede wszystkim regularnie monitorować oraz oceniać jakość tego procesu, wykorzystując wiarygodne dane pomiarowe. W przedsiębiorstwie wiarygodność danych ma zapewnić analiza systemów pomiarowych -MSA. Celem MSA jest uzyskanie informacji o zmienności pomiaru powodowanej przez system pomiarowy. Zapewnienie warunków do przeprowadzenia badania, analizy i oceny systemu pomiarowego może wymagać ingerencji w codzienny tryb pracy organizacji. Trzeba bowiem przygotować pracowników do badania, wygospodarować miejsce, przeprowadzić analizę opracowanego arkusza danych i przygotować raport z MSA. Wszystko to wymaga czasu i wiąże się z dodatkowymi kosztami. Wydaje się, że zmiana warunków organizacyjnych badania z offline na online ułatwi ocenę systemu pomiarowego i usprawni związaną z tym pracę. Autorzy artykułu prowadza badania w omawianym zakresie, by stwierdzić, czy system pomiarowy można analizować na bieżąco. Umiejscowienie badania w warunkach produkcyjnych, czyli podczas procesu wytwarzania, można zdefiniować jako istotę nowego podejścia do procedury MSA, czyli MSA w trakcie realizacji procesu wytwarzania - online.
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