Effiziente Produktionsgestaltung*/Efficient production design - Development of a software tool for a process- and competence-oriented decision support

2016 ◽  
Vol 106 (07-08) ◽  
pp. 544-549
Author(s):  
V. K. Bellmann ◽  
P. Prof. Nyhuis

Zur Erhaltung ihrer Wettbewerbsfähigkeit setzen Unternehmen sowohl prozessverbessernde als auch kompetenzsteigernde Methoden ein. Jedoch erschwert die Vielzahl an Methoden eine anwendungsspezifische Auswahl. Somit wird ein Software-Tool benötigt, das neben den individuellen Zielstellungen auch die Voraussetzungen für eine erfolgreiche Umsetzung der Methoden berücksichtigt. Dieser Fachbeitrag beschreibt die Entwicklung eines Software-Tools zur zielgerichteten Entscheidungsunterstützung.   Companies apply process-improving and competence-increasing methods to maintain their competitiveness. However the huge amount of existing methods impedes an application-oriented selection. Thus a software tool is needed which considers individual objectives as well as requirements for a successful application of the methods. This paper describes the development of a software tool for a target-oriented decision support.

2021 ◽  
Vol 12 (01) ◽  
pp. 182-189
Author(s):  
Adam Wright ◽  
Skye Aaron ◽  
Allison B. McCoy ◽  
Robert El-Kareh ◽  
Daniel Fort ◽  
...  

Abstract Objective Clinical decision support (CDS) can contribute to quality and safety. Prior work has shown that errors in CDS systems are common and can lead to unintended consequences. Many CDS systems use Boolean logic, which can be difficult for CDS analysts to specify accurately. We set out to determine the prevalence of certain types of Boolean logic errors in CDS statements. Methods Nine health care organizations extracted Boolean logic statements from their Epic electronic health record (EHR). We developed an open-source software tool, which implemented the Espresso logic minimization algorithm, to identify three classes of logic errors. Results Participating organizations submitted 260,698 logic statements, of which 44,890 were minimized by Espresso. We found errors in 209 of them. Every participating organization had at least two errors, and all organizations reported that they would act on the feedback. Discussion An automated algorithm can readily detect specific categories of Boolean CDS logic errors. These errors represent a minority of CDS errors, but very likely require correction to avoid patient safety issues. This process found only a few errors at each site, but the problem appears to be widespread, affecting all participating organizations. Conclusion Both CDS implementers and EHR vendors should consider implementing similar algorithms as part of the CDS authoring process to reduce the number of errors in their CDS interventions.


2018 ◽  
Vol 13 (1) ◽  
pp. 44-61 ◽  
Author(s):  
Lorraine Lee ◽  
William Kerler ◽  
Daniel Ivancevich

The ability to use various software and tools is important for students entering the accounting profession. In an exploratory study, we develop a survey to assess accounting practitioners' evaluations of the importance of various software tools, as well as the importance of data analytics and data visualization skills. Responses from 197 practitioners indicate that Excel is the most frequently utilized software / tool, the most important software tool for new hires, and that Excel should be emphasized in university accounting programs. We find that the importance of Excel is consistent across different accounting areas (audit, tax, advisory, and corporate) and across all experience levels. In addition, Adobe Acrobat, PowerPoint, accounting / ERP software, and the FASB Codification were identified as frequently utilized across the various accounting areas and experience levels. Finally, practitioners in each of the different accounting areas and at all experience levels indicate data analytic skills and data visualization skills are important, but that data analytic skills are perceived as more important than data visualization skills. Our study contributes to the accounting information systems literature by identifying the specific software and tools that are relevant to the profession and provides guidance on the software and tools that should be emphasized in university accounting programs.


2021 ◽  
Author(s):  
Weiqian Cao ◽  
Siyuan Kong ◽  
Wenfeng Zeng ◽  
Pengyun Gong ◽  
Biyun Jiang ◽  
...  

Interpreting large-scale glycoproteomic data for intact glycopeptide identification has been tremendously advanced by software tools. However, software tools for quantitative analysis of intact glycopeptides remain lagging behind, which greatly hinders exploring the differential expression and functions of site-specific glycosylation in organisms. Here, we report pGlycoQuant, a generic software tool for accurate and convenient quantitative intact glycopeptide analysis, supporting both primary and tandem mass spectrometry quantitation for multiple quantitative strategies. pGlycoQuant enables intact glycopeptide quantitation with very low missing values via a deep residual network, thus greatly expanding the quantitative function of several powerful search engines, currently including pGlyco 2.0, pGlyco3, Byonic and MSFragger-Glyco. The pGlycoQuant-based site-specific N-glycoproteomic study conducted here quantifies 6435 intact N-glycopeptides in three hepatocellular carcinoma cell lines with different metastatic potentials and, together with in vitro molecular biology experiments, illustrates core fucosylation at site 979 of the L1 cell adhesion molecule (L1CAM) as a potential regulator of HCC metastasis. pGlycoQuant is freely available at https://github.com/expellir-arma/pGlycoQuant/releases/. We have demonstrated pGlycoQuant to be a powerful tool for the quantitative analysis of site-specific glycosylation and the exploration of potential glycosylation-related biomarker candidates, and we expect further applications in glycoproteomic studies.


2004 ◽  
Vol 20 (03) ◽  
pp. 147-163
Author(s):  
Osman Turan ◽  
Selim Alkaner ◽  
Aykut i. Ölçer

Ship design today can be viewed as an ad hoc process. It must be considered in the context of integration with other design development activities, such as production, costing, quality control, and so forth. Otherwise, it is possible for the designer to design a ship that is difficult to produce, requires high material or labor cost, or contains some design flaws that the production engineers have to correct or send back for redesigning before production can be done. Any adjustment required after the design stage will result in a penalty of extra time or cost. Deficiencies in the design of a ship will influence the succeeding stages of production. In addition to designing a ship that fulfills producibility requirements, it is also desirable to design a ship that satisfies risk, performance, cost, and customer requirements criteria. More recently, environmental concerns, safety, passenger comfort, and life-cycle issues are becoming essential parts of the current shipbuilding industry. Therefore, "design for X paradigm" should also be considered during the ship design stages. An integrated multiple attributive decision support system for producibility evaluation in ship design (PRODEVIS) is developed to use by industry and researchers in evaluating the producibility of competing ship designs and design features during the early stages of ship design by taking into account cost, performance, risk, and "design for X paradigm" attributes. This developed approach is a fuzzy multiple attributive group decision-making methodology where feasible design alternatives are conducted by a ship production simulation technique. In this approach, an attribute-based aggregation technique for a heterogeneous group of experts is employed and used for dealing with fuzzy opinion aggregation for the subjective attributes of the ship design evaluation problem. The developed methodology is illustrated with a case study.


Author(s):  
Helena Hashemi Farzaneh ◽  
Lorenz Neuner

AbstractMuch of the work in design research focusses on the development of methods and tools to support engineering designers. Many of these tools are nowadays implemented in software. Due to the strongly growing use of computers and smart devices in the last two decades, the expectations of users increased dramatically. In particular users expect good usability, for example little effort for learning to apply the software. Therefore, the usability evaluation of design software tools is crucial. A software tool with bad usability will not be used in industrial practice. Recommendations for usability evaluation of software often stem from the field of Human Computer Interaction. The aim of this paper is to tailor these general approaches to the specific needs of engineering design. In addition, we propose a method to analyse the results of the evaluation and to derive suggestions for improving the design software tool. We apply the usability evaluation method on a use case - the KoMBi software tool for bio-inspired design. The case study provides additional insights with regards to problem, causes and improvement categories.


Author(s):  
Tigran Parikyan ◽  
Nikola Naranca ◽  
Jochen Neher

For efficient modeling of engine (or powertrain) supported by non-linear elastic mounts, a special methodology has been elaborated. Based on it, software tool has been developed to analyze the motion of rigid body and elastic mounts, which comprises of three modules: • Non-linear static analysis; • Modal analysis (undamped and damped); • Forced response (in frequency domain). Application example of a large V12 marine engine illustrates the suggested workflow. The results are verified against other software tools and validated by measurements.


Author(s):  
Srikumar Krishnamoorthy

Acme Inc, a large retailer, explores the use of Data warehouse for addressing their decision support infrastructure Challenges. Acme plans for a pilot study to assess the feasibility and evaluate the business benefits of using Data warehouse. The focus of this case is to ascertain the steps involved in design, development and implementation of a Data warehouse.


2014 ◽  
Vol 60 (No. 3) ◽  
pp. 123-132
Author(s):  
J. Janová

The precise agricultural operations research models claiming complex solutions and specialized software tools may appear too complicated to truly support the decision making process on the farm level. The specific balance between the simplifications made and the correspondence to the real problem must be found when building decision support for a local farmer. In this paper, a decision support model for agricultural production planning in the Czech Republic is developed covering both the randomness of parameters entering the problem and the complex crop succession requirements. Crucially, the model can be approached using software tools commonly available to farmers. The structure of the simplified model is described in detail, its validity proved by the recently suggested simulation procedures and the general applicability of the model structuring for a local agriculture decision support is discussed.  


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