TY - JOUR A1 - Weigand, Christoph T1 - Optimal Production Schedule for a K Products Single Machine Problem JF - Economic Quality Control. 9 (1994) Y1 - 1994 SN - 0940-5151 SP - 91 EP - 101 ER - TY - JOUR A1 - Weigand, Christoph A1 - Collani, E. v. A1 - Saniga, E.M. T1 - Economic Adjustment Design for -Control Charts. E.v.Collani, E.M. Saniga, Ch. Weigand JF - IIE Transactions / Institute of Industrial Engineers. 26 (1994), H. 6 Y1 - 1994 SN - 0569-5554 ER - TY - JOUR A1 - Weigand, Christoph T1 - Optimale Maschinenjustierung JF - Technische Hochschule / Bibliothek: Wissenschaftliche Zeitschrift. 37 (1991) Y1 - 1991 SN - 0043-6917 SP - 167 EP - 175 ER - TY - JOUR A1 - Weigand, Christoph T1 - A Solution to the Scheduling Problem Taking into Account Quality JF - Operations research '91 : extended abstracts of the 16th Symposium on Operations Research held at the University of Trier at September 9 - 11, 1991 / [GMÖOR]. Peter Gritzmann ... (eds.) Y1 - 1991 SN - 3790806080 N1 - Symposium on Operations Research ; (16, 1991, Trier) SP - 373 EP - 375 PB - Physica-Verl. CY - Heidelberg ER - TY - JOUR A1 - Weigand, Christoph T1 - Optimal Adjustment Policies JF - Proceedings of the First Umeå-Würzburg Conference in Statistics : Kronlund Conference Center and University of Umeå, September 10 - 14, 1990 / ed. by Kurt Brännäs Y1 - 1990 SN - 91-7174-564-5 N1 - Umeå-Würzburg Conference in Statistics <1, 1990> SP - 147 EP - 158 PB - Univ. of Umeå CY - Umeå ER - TY - BOOK A1 - Weigand, Christoph T1 - Statistik mit und ohne Zufall : eine anwendungsorientierte Einführung ; mit 10 Tabellen / Christoph Weigand Y1 - 2006 SN - 3-7908-1693-0 N1 - [Neuere Aufl. vorh.] https://doi.org/10.1007/978-3-662-59309-7 PB - Physica-Verl. CY - Heidelberg ER - TY - JOUR A1 - Weigand, Christoph T1 - Technically Optimal Inspection Policy with Arithmetical Adaption JF - IMA Journal of Management Mathematics. 14 (2003), H. 4 Y1 - 2003 SN - 1471-678X N1 - weitere ISSN 1471-6798 (E) SP - 357 EP - 371 ER - TY - JOUR A1 - Weigand, Christoph T1 - Economically Optimal Inspection Policy with Geometrical Adaption JF - Journal of Applied Statistics. 30 (2003), H. 5 Y1 - 2003 SN - 0266-4763 N1 - weitere ISSN 1360-0532 (E) SP - 555 EP - 569 ER - TY - JOUR A1 - Weigand, Christoph T1 - Economically Optimal Inspection Policy with Arithmetical Adaption JF - Applied stochastic models and data analysis / [10th International Symposium on Applied Stochastic Models and Analysis, June 12-15 2001, Université Technologique de Compiègne] ; editors Gérard Govaert, Jacques Janssen, Nikolaos Limnios. Y1 - 2001 N1 - ASDMA 2001 SP - 1010 EP - 1015 PB - Université Technologique de Compiègne CY - Compiègne ER - TY - JOUR A1 - Weigand, Christoph T1 - Economically Optimal Adaptive Inspection Policies JF - Economic Quality Control. 15 (2000), H. 1/2 Y1 - 2000 SN - 0940-5151 N1 - Printausgabe vorhanden: 43 Z 711 SP - 55 EP - 77 ER - TY - JOUR A1 - Weigand, Christoph T1 - Economic Machine Adjustment in the Case of Product Screening .E.v.Collani, Ch. Weigand JF - Statistical Papers. 33 (1992) Y1 - 1992 SP - 171 EP - 184 ER - TY - JOUR A1 - Weigand, Christoph T1 - On the Effects of SPC on Production Time JF - Economic Quality Control. 8 (1993) Y1 - 1993 SN - 0940-5151 SP - 23 EP - 61 ER - TY - JOUR A1 - Weigand, Christoph T1 - A new Approach for Optimal Control of a Production process JF - Economic Quality Control. 7 (1992) Y1 - 1992 SN - 0940-5151 SP - 225 EP - 251 ER - TY - BOOK A1 - Weigand, Christoph T1 - Statistik mit und ohne Zufall : Eine anwendungsorientierte Einführung . 2. Aufl. Y1 - 2009 SN - 978-3-7908-2346-2 N1 - Lösungen zu den Übungen (frei zugänglich): https://www.fh-aachen.de/menschen/weigand/lehrbuch PB - Physica-Verlag CY - Heidelberg ER - TY - JOUR A1 - Weigand, Christoph T1 - Defining Precisions for Reliable Measurement and Estimation Procedures JF - Economic Quality Control. 24 (2009), H. 1 Y1 - 2009 SN - 0940-5151 SP - 5 EP - 33 PB - De Gruyter CY - Berlin ER - TY - JOUR A1 - Weigand, Christoph T1 - Statistical Tests Based on Reliability and Precision JF - Economic Quality Control : EQC ; international journal for quality and reliability N2 - The construction of a statistical test is investigated which is based only on “reliability” and “precision” as quality criteria. The reliability of a statistical test is quantifiedin a straightforward way by the probability that the decision of the test is correct. However, the quantification of the precision of a statistical test is not at all evident. Thereforethe paper presents and discusses several approaches. Moreover the distinction of “nullhypothesis” and “alternative hypothesis” is not necessary any longer. Y1 - 2012 U6 - http://dx.doi.org/10.1515/eqc-2012-0002 SN - 1869-6147 VL - 27 IS - 1 SP - 43 EP - 64 PB - De Gruyter CY - Berlin ER - TY - BOOK A1 - Weigand, Christoph T1 - Statistik mit und ohne Zufall : Eine anwendungsorientierte Einführung Y1 - 2019 SN - 978-3-662-59309-7 U6 - http://dx.doi.org/10.1007/978-3-662-59309-7 PB - Springer Spektrum CY - Berlin, Heidelberg ET - 3. Aufl. ER - TY - JOUR A1 - Mueller, Tobias A1 - Segin, Alexander A1 - Weigand, Christoph A1 - Schmitt, Robert H. T1 - Feature selection for measurement models JF - International journal of quality & reliability management N2 - Purpose In the determination of the measurement uncertainty, the GUM procedure requires the building of a measurement model that establishes a functional relationship between the measurand and all influencing quantities. Since the effort of modelling as well as quantifying the measurement uncertainties depend on the number of influencing quantities considered, the aim of this study is to determine relevant influencing quantities and to remove irrelevant ones from the dataset. Design/methodology/approach In this work, it was investigated whether the effort of modelling for the determination of measurement uncertainty can be reduced by the use of feature selection (FS) methods. For this purpose, 9 different FS methods were tested on 16 artificial test datasets, whose properties (number of data points, number of features, complexity, features with low influence and redundant features) were varied via a design of experiments. Findings Based on a success metric, the stability, universality and complexity of the method, two FS methods could be identified that reliably identify relevant and irrelevant influencing quantities for a measurement model. Originality/value For the first time, FS methods were applied to datasets with properties of classical measurement processes. The simulation-based results serve as a basis for further research in the field of FS for measurement models. The identified algorithms will be applied to real measurement processes in the future. KW - Feature selection KW - Modelling KW - Measurement models KW - Measurement uncertainty Y1 - 2022 U6 - http://dx.doi.org/10.1108/IJQRM-07-2021-0245 SN - 0265-671X IS - Vol. ahead-of-print, No. ahead-of-print. PB - Emerald Group Publishing Limited CY - Bingley ER -