Enhancing Project Management as an Instrument for Costing and Controlling in Small- and Medium-Sized Enterprises

2003 ◽  
pp. 190-206
Author(s):  
Bardo Fraunholz
Keyword(s):  
Project Management ◽  
Business Processes ◽  
Integrated System ◽  
Cost Structure ◽  
Easy Access ◽  
Levels Of Abstraction ◽  
Fully Integrated ◽  
Controlling System ◽  
Added Benefit ◽  
Multiple Levels

This chapter presents an introduction to a Project Management Costing and Controlling System to enhance traditional project management in order to integrate all business processes of a project-driven organisation. In order to achieve this, we analyzed relevant business processes in project-driven SMEs of a particular industry and utilized this knowledge to develop an architecture for the proposed system. We describe how reuse and a multiple levels of abstraction can help to organize projects and add precision to traditional project management, thus adding extra value. With this system, the author hopes to make project management more attractive for SMEs by creating a fully integrated system to steer a project-driven business. This will assist firms to become more competitive with the added benefit of gaining easy access to vital knowledge about their process and cost structure.

scholarly journals Benefits and Process Improvements for ERP Implementation: Results from an Exploratory Case Study

2019 ◽  
Vol 12 (8) ◽  
pp. 124
Author(s):  
Sreekumar Menon
Keyword(s):  
Business Processes ◽  
Oil And Gas ◽  
Single Case ◽  
Oil And Gas Industry ◽  
Integrated System ◽  
Easy Access ◽  
Team Members ◽  
Process Improvements ◽  
Access To Data

This exploratory qualitative single case study discusses the benefits and process improvements pertinent to enterprise resource and planning (ERP) projects. The study was conducted in a Canadian case organization in the oil and gas industry that includes twenty participants from four project role groups of senior leaders, project managers, project team members, and business users. The results of the study revealed twenty-two key benefits and four process improvements from which organizations can draw value while planning for ERP projects. The top six benefits include: standardization of common business processes, single integrated system, standardized reporting, improved key performance indicators (KPI), all countries in one system, and easy access to data. Knowing and maximizing these key benefits may prove beneficial for organizations, while planning for major investments in ERP systems.

scholarly journals A Multi-Well Thin-Si LAPS and All-in-One Readout System for Ion Activity Monitor of Epithelium Cells

Proceedings ◽  
2018 ◽  
Vol 2 (13) ◽  
pp. 1020
Author(s):  
Yu-Jing Lin ◽  
Po-Yen Lin ◽  
Yu-Ping Chen ◽  
Hui-Ling Liu ◽  
Tsung-Ru Wu ◽  
...  
Keyword(s):  
Cell Activity ◽  
Cell Number ◽  
Integrated System ◽  
Easy Access ◽  
Label Free ◽  
Readout System ◽  
Fully Integrated ◽  
Sensor Structure ◽  
Ion Activities ◽  
The Difference

To measure the ion activities of cells, an easy-access and fully-integrated system is necessary in culture room with high cleanness and easy maintenance. A new sensor structure integrated with readout system based on light-addressable potentiometric sensor (LAPS) to quantitatively monitor real-time cell activity with the advantages of label free and 2D image ability is proposed. The difference of cell number and acidification could be easily observed by 2D images by means of this proposed methodology.

FR-IR Molecular Microanalysis System

1990 ◽  
Vol 48 (2) ◽  
pp. 270-271
Author(s):  
John A. Reffner ◽  
William T. Wihlborg
Keyword(s):  
Fourier Transform ◽  
Fourier Transform Infrared ◽  
Integrated System ◽  
Morphological Examination ◽  
Fully Integrated ◽  
Ir Microscopy ◽  
Normal Functions ◽  
Infrared Microspectroscopy ◽  
Infrared Spectral ◽  
Ft Ir

The IRμs™ is the first fully integrated system for Fourier transform infrared (FT-IR) microscopy. FT-IR microscopy combines light microscopy for morphological examination with infrared spectroscopy for chemical identification of microscopic samples or domains. Because the IRμs system is a new tool for molecular microanalysis, its optical, mechanical and system design are described to illustrate the state of development of molecular microanalysis. Applications of infrared microspectroscopy are reviewed by Messerschmidt and Harthcock.Infrared spectral analysis of microscopic samples is not a new idea, it dates back to 1949, with the first commercial instrument being offered by Perkin-Elmer Co. Inc. in 1953. These early efforts showed promise but failed the test of practically. It was not until the advances in computer science were applied did infrared microspectroscopy emerge as a useful technique. Microscopes designed as accessories for Fourier transform infrared spectrometers have been commercially available since 1983. These accessory microscopes provide the best means for analytical spectroscopists to analyze microscopic samples, while not interfering with the FT-IR spectrometer’s normal functions.

Learning at Multiple Levels of Abstraction: The Case of Verb Argument Constructions

2007 ◽  
Author(s):  
Amy Perfors ◽  
Charles Kemp ◽  
Elizabeth Wonnacott ◽  
Joshua B. Tenenbaum
Keyword(s):  
Levels Of Abstraction ◽  
Multiple Levels

Integrated Combustor and Vane Concept in Gas Turbines

2010 ◽  
Author(s):  
Budimir Rosic ◽  
John D. Denton ◽  
John H. Horlock ◽  
Sumiu Uchida
Keyword(s):  
Gas Turbines ◽  
Integrated System ◽  
Axial Distance ◽  
Stagnation Region ◽  
Manufacturing Costs ◽  
Fully Integrated ◽  
Wetted Area ◽  
Novel Concept ◽  
Industrial Gas Turbine ◽  
Cooling Air

This paper numerically investigates the interaction between multiple can combustors and the first vane in an industrial gas turbine with 16 can combustors and 32 vanes in order to find ways of reducing the overall cooling requirements. Two promising concepts for the overall cooling reduction are presented. In the first, by minimising the axial distance between the combustor wall and the vane, the stagnation region at the LE of every second vane can be effectively shielded from the hot mainstream gases. The LE shielding allows continuous cooling slots to be used (as an alternative to discrete cooling holes) to cool downstream parts of the vane using a portion of the saved LE showerhead cooling air. The second concept proposes a full combustor and first vane integration. In this novel concept the number of vanes is halved and the combustor walls are used to assist the flow turning. All remaining vanes are fully integrated into the combustor walls. In this way the total wetted area of the integrated system is reduced, and by shielding the LEs of the remaining vanes the total amount of cooling air can be reduced. The proposed combustor and first vane integration does not detrimentally affect the aerodynamics of the combustor and vane system. The concept also simplifies the design and should lower the manufacturing costs.

scholarly journals A Model for Analysing the Collective Dynamic Behaviour and Characterising the Exploitation of Population-Based Algorithms

2014 ◽  
Vol 22 (1) ◽  
pp. 159-188 ◽  
Author(s):  
Mikdam Turkey ◽  
Riccardo Poli
Keyword(s):  
Population Dynamics ◽  
Dynamic Behaviour ◽  
Fitness Landscape ◽  
Population Based ◽  
Levels Of Abstraction ◽  
Collective Dynamic ◽  
Model Studies ◽  
Proposed Model ◽  
Wide Range ◽  
Multiple Levels

Several previous studies have focused on modelling and analysing the collective dynamic behaviour of population-based algorithms. However, an empirical approach for identifying and characterising such a behaviour is surprisingly lacking. In this paper, we present a new model to capture this collective behaviour, and to extract and quantify features associated with it. The proposed model studies the topological distribution of an algorithm's activity from both a genotypic and a phenotypic perspective, and represents population dynamics using multiple levels of abstraction. The model can have different instantiations. Here it has been implemented using a modified version of self-organising maps. These are used to represent and track the population motion in the fitness landscape as the algorithm operates on solving a problem. Based on this model, we developed a set of features that characterise the population's collective dynamic behaviour. By analysing them and revealing their dependency on fitness distributions, we were then able to define an indicator of the exploitation behaviour of an algorithm. This is an entropy-based measure that assesses the dependency on fitness distributions of different features of population dynamics. To test the proposed measures, evolutionary algorithms with different crossover operators, selection pressure levels and population handling techniques have been examined, which lead populations to exhibit a wide range of exploitation-exploration behaviours.

Fully integrated system-on-chip for pixel-based 3D depth and scene mapping

2012 ◽  
Author(s):  
Martin Popp ◽  
Beat De Coi ◽  
Markus Thalmann ◽  
Radoslav Gancarz ◽  
Pascal Ferrat ◽  
...  
Keyword(s):  
System On Chip ◽  
Integrated System ◽  
Fully Integrated ◽  
On Chip

Non-invasive intelligent monitoring system for fault detection in induction motor based on bio piezoelectric sensor using ANN

2022 ◽  
Author(s):  
Massine GANA ◽  
Hakim ACHOUR ◽  
Kamel BELAID ◽  
Zakia CHELLI ◽  
Mourad LAGHROUCHE ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Induction Motor ◽  
Vibration Analysis ◽  
Low Cost ◽  
Piezoelectric Sensor ◽  
Integrated System ◽  
Easy Access ◽  
Non Invasive ◽  
Artificial Neural

Abstract This paper presents a design of a low-cost integrated system for the preventive detection of unbalance faults in an induction motor. In this regard, two non-invasive measurements have been collected then monitored in real time and transmitted via an ESP32 board. A new bio-flexible piezoelectric sensor developed previously in our laboratory, was used for vibration analysis. Moreover an infrared thermopile was used for non-contact temperature measurement. The data is transmitted via Wi-Fi to a monitoring station that intervenes to detect an anomaly. The diagnosis of the motor condition is realized using an artificial neural network algorithm implemented on the microcontroller. Besides, a Kalman filter is employed to predict the vibrations while eliminating the noise. The combination of vibration analysis, thermal signature analysis and artificial neural network provides a better diagnosis. It ensures efficiency, accuracy, easy access to data and remote control, which significantly reduces human intervention.

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