Planung automatischer Identifikationstechnologien/Planning of automatic identification technologies – Methodology for the technological and economic selection of Auto-ID technologies

2020 ◽  
Vol 110 (04) ◽  
pp. 236-240
Author(s):  
Philipp Wilsky ◽  
Luise Weißflog ◽  
Riccardo Prielipp ◽  
Michael Bojko ◽  
Ralph Riedel

Technologien zur automatischen Identifikation (Auto-ID) von Objekten dienen im industriellen Kontext zunehmend als Basis für neuartige Services. Sie sind essenzieller Bestandteil von Nachverfolgungsfunktionen, etwa für Produktionsfortschrittskontrollen und Materialflussoptimierungen. Sie identifizieren und lokalisieren Werkstücke, Produkte und/oder Betriebsmittel. Mit Anwendung und Akzeptanz in den Unternehmen steigt auch die Anzahl an Technologien und Anbietern im Markt. Um den Planungsprozess zum Einsatz dieser Technologien zu strukturieren und Planern einen Leitfaden zur Verfügung zu stellen, wurde ein Verfahren zur Auswahl geeigneter Technologien entwickelt.   Technologies for automatic identification (Auto-ID) of objects are increasingly used in industry as a basis for new services. They are essential for tracking functions – for example for production progress monitoring and material flow optimization. They are used for identifying and locating workpieces, products and/or resources. The number of technologies and suppliers in the market increases with application and acceptance in the companies. To structure the planning process for the use of these technologies and provide a guideline for planners, a procedure was developed for selecting suitable technologies.

2018 ◽  
Vol 32 (4) ◽  
pp. 489-497 ◽  
Author(s):  
Jill Schroeder ◽  
Michael Barrett ◽  
David R. Shaw ◽  
Amy B. Asmus ◽  
Harold Coble ◽  
...  

AbstractSeven half-day regional listening sessions were held between December 2016 and April 2017 with groups of diverse stakeholders on the issues and potential solutions for herbicide-resistance management. The objective of the listening sessions was to connect with stakeholders and hear their challenges and recommendations for addressing herbicide resistance. The coordinating team hired Strategic Conservation Solutions, LLC, to facilitate all the sessions. They and the coordinating team used in-person meetings, teleconferences, and email to communicate and coordinate the activities leading up to each regional listening session. The agenda was the same across all sessions and included small-group discussions followed by reporting to the full group for discussion. The planning process was the same across all the sessions, although the selection of venue, time of day, and stakeholder participants differed to accommodate the differences among regions. The listening-session format required a great deal of work and flexibility on the part of the coordinating team and regional coordinators. Overall, the participant evaluations from the sessions were positive, with participants expressing appreciation that they were asked for their thoughts on the subject of herbicide resistance. This paper details the methods and processes used to conduct these regional listening sessions and provides an assessment of the strengths and limitations of those processes.


2018 ◽  
Vol 1 (1) ◽  
pp. 88 ◽  
Author(s):  
Anindyo Aji Susanto ◽  
Abdul Halim

Ratchet effect defined as form of budget setter’s behavioral bias in budget setting or budget planning process. Ratchet effect occurs when budget setter use prior period performance as basis to determine the upcoming budget as a consequences of the dynamic incentives problems in agency relation context. Lee and Plummer (2007) documented ratchet effect in public sector budgeting on performance based budgeting implementation. This study aims to find whether ratchet effecct occur in public sector budgeting, especially in Indonesian local government budgeting.This study use Local Government Task Force (SKPD) of Yogyakarta Special Region Province Government as research object for research period between 2012 to 2015. Selection of sample derived using purposive sampling to 31 SKPD and generates 17 sample which has Region Original Revenue (PAD) component and so 28 sample which has Direct Expenditure component in each of it’s budget structure. Total observed object used to examine ratchet effect in PAD budgeting is 68 observation and so forth 112 observation used to examine ratchet effect in Direct Expenditure budgeting. Multiple Linear Regresion used to test the hypotheses. The result shows that ratchet effect occurs in both PAD and Direct Expenditure budgeting, so all research hypotheses statistically accepted. This research generate evidence the occurence of ratchet effect in local government budgeting.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Elisabeth J. Schiessler ◽  
Tim Würger ◽  
Sviatlana V. Lamaka ◽  
Robert H. Meißner ◽  
Christian J. Cyron ◽  
...  

AbstractThe degradation behaviour of magnesium and its alloys can be tuned by small organic molecules. However, an automatic identification of effective organic additives within the vast chemical space of potential compounds needs sophisticated tools. Herein, we propose two systematic approaches of sparse feature selection for identifying molecular descriptors that are most relevant for the corrosion inhibition efficiency of chemical compounds. One is based on the classical statistical tool of analysis of variance, the other one based on random forests. We demonstrate how both can—when combined with deep neural networks—help to predict the corrosion inhibition efficiencies of chemical compounds for the magnesium alloy ZE41. In particular, we demonstrate that this framework outperforms predictions relying on a random selection of molecular descriptors. Finally, we point out how autoencoders could be used in the future to enable even more accurate automated predictions of corrosion inhibition efficiencies.


2018 ◽  
Vol 36 (3) ◽  
pp. 255-263 ◽  
Author(s):  
Christopher Lemon ◽  
Michael De Ridder ◽  
Mohamed Khadra

Background: Documentation rates of advance directives (ADs) remain low. Using electronic medical records (EMRs) could help, but a synthesis of evidence is currently lacking. Objectives: To evaluate the evidence for using EMRs in documenting ADs and its implications for overcoming challenges associated with their use. Design: Systematic review of articles in English, published from inception of databases to December 2017. Data Sources: PubMed, PsycINFO, EMBASE, and CINAHL. Methods/Measurements: Four databases were searched from inception to December 2017. Randomized and nonrandomized quantitative studies examining the effects of EMRs on creation, storage, or use of ADs were included. All featured an advance care planning process. Evidence was evaluated using the Cochrane Collaboration’s risk assessment tool. Results: Fifteen studies were included: 1 randomized controlled trial, 1 randomized pilot, 4 pre–post studies, 4 cross-sectional studies, 1 retrospective cohort study, 1 historical control study, 1 retrospective observational study, 1 retrospective review, and 1 evaluation of an EMR feature. Seven studies showed that EMR-based reminders, AD templates, and decision aids can improve AD documentation rates. Three demonstrated that EMR search functions, decision aids, and automatic identification software can help identify patients who have or need ADs according to certain criteria. Five showed EMRs can create documentation challenges, including locating ADs, and making some patients more likely than others to have an AD. Most studies had an unclear or high risk of bias. Conclusions: Limited evidence suggests EMRs could be used to help address AD documentation challenges but may also create additional problems. Stronger evidence is needed to more conclusively determine how EMR may assist in population approaches to improving AD documentation.


2000 ◽  
Vol 11 (5) ◽  
pp. 369-381 ◽  
Author(s):  
M.A. Rahim ◽  
A.-B. Shaibu

2014 ◽  
Vol 16 (02) ◽  
pp. 1450012 ◽  
Author(s):  
LUIS E. MONTAÑEZ-CARTAXO

In Mexico, the Federal Commission of Electricity (CFE) is the public entity that is responsible for the annual preparation of the national programme of the electricity system development with a 15 year horizon (POISE in Spanish). Besides this national planning process, there are regional plans as well as others regarding the development of hydroelectric and geothermoelectric projects; these plans are essential inputs to prepare the POISE. Another key decision window is the site selection of the projects listed in the Program. For a few years the Environmental Protection Division of CFE has been promoting the incorporation of SEA into the decision-making processes of the company. Two regional SEAs have been made so far. This paper presents the actions carried out to incorporate SEA into CFE since 2002, as well as the methodologies followed in each of the two cases, and primarily the lessons learned from these experiences.


Author(s):  
J C Rico ◽  
S Mateos ◽  
E Cuesta ◽  
C M Suárez

This paper presents a program for the automatic design of special tools developed under a CAD/CAM (computer aided design/manufacture) system. In particular, the special tools made with standard components have been considered. Since the design of these types of tools was essentially related to the selection of their components, this paper deals with this aspect, insisting upon the selection of those components directly related to the removal of material: the toolholders or cartridges and the inserts. To select these components it is necessary to take into account not only geometrical or technological rules but also economical ones, owing to the high amount of possible components they can select. Consideration of economical aspects required the formulation of the cost equation associated with the use of these types of tools, characterized because their cutting edges coincide with different cutting velocities. Likewise, consideration of economical aspects allows the selection of the optimum cutting conditions and the cutting components to take place at the same time. Some of the geometrical and technological parameters related to the selection of cutting components are automatically identified by the system through an automatic identification of the workpiece profile.


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