An analogy and framework for effective data collection, usage, and maintenance for decision support systems

2002 ◽  
Author(s):  
B. Arinze
Keyword(s):  
Decision Support ◽  
Data Collection ◽  
Decision Support Systems ◽  
Support Systems

Evolution of the Role of Measurement Systems in Industrial Decision Support

2016 ◽  
pp. 560-580 ◽  
Author(s):  
Miroslaw Staron ◽  
Wilhelm Meding ◽  
Kent Niesel ◽  
Ola Söder
Keyword(s):  
Decision Support ◽  
Data Collection ◽  
Decision Support Systems ◽  
Information Needs ◽  
Support Systems ◽  
Measurement Data ◽  
Automated Measurement ◽  
Measurement Systems ◽  
Distributed Decision

Measurement data can be used for decision support in multiple ways – from one-time, manual data collection/presentation (reporting) through flexible business intelligence solutions to online, automated measurement systems. In centralized organizations, the measurement data is often collected through reporting, but the trends in modern organizations with empowered teams, globalized development, and needs to monitor continuously longer supply chains requires shift in the design and use of measurement systems. In this chapter, we present a study of evolving measurement systems at three companies with global businesses – Ericsson, Volvo Cars, and Axis Communications. The results of the study include the identification of the timeline of the evolution, distinct generations of measurement systems and information needs in the different phases of the evolution. The experiences show how to evolve centralized decision support systems to support global and distributed decision support.

scholarly journals Perbadingan Metode Weight Product dan Vikor Dalam Menentukan Siswa Berprestasi

2020 ◽  
Vol 6 (2) ◽  
pp. 270-279
Author(s):  
Nurhadi Nurhadi ◽  
Kejus Ronatal Sinaga ◽  
Maulana Yusuf ◽  
Rachmat Hidayat ◽  
Yusnia Budiarti
Keyword(s):  
Student Achievement ◽  
Decision Support ◽  
Data Collection ◽  
Decision Support Systems ◽  
Support Systems ◽  
Research Data ◽  
Calculation Error ◽  
Vikor Method ◽  
A Value ◽  
Criterion Method

Abstract: At Maadrasah Ibtidaiyah Jamiatul Gulami Tangerang, he often selects outstanding students as a form of spurring the potential to be competitively healthy. But often the process carried out by the Madrasah experiences a calculation error. For this reason, the authors provide a solution, namely the SPK process to determine outstanding students at madrasah ibtidaiyah jamiatul gulami Tangerang. In decision support systems, there are several methods, including those used in this study, namely WP and VIKOR. The Weight Product (WP) method is a method that uses the multiplication of values, attributes to connect ratings, by first ranking each attribute. Meanwhile, the Vise Criterion method, Jumske Optimizakija I Kompromineso Resenje (VIKOR) ranks alternatives and determines solutions that are close to ideal. In the research, data collection techniques were carried out by observing the location of the research and conducting interviews with a teacher named Muhamad Syakir S.Ag at the Madrasah. The results obtained from the research that has been done, namely the WP method are shown to A1 on behalf of Amelia Putri with a value of 0.104, while in the VIKOR method it is shown to A5 on behalf of Eka Yulia with a value of 1.00. Keywords: SPK Student Achievement WP,VikorAbstrak: Pada Maadrasah Ibtidaiyah Jamiatul Gulami Tangerang seingkali mengadakan pemilihan siswa berprestasi sebagai bentuk memacu potensi untuk berkompetitif secara sehat. Tetapi seringkali proses dilakukan oleh Madrasah tersebut mengalami kekeliruan perhitungan. Untuk itu penulis memberikan solusi yaitu dengan proses SPK untuk menentukan siswa berprestasi pada madrasah ibtidaiyah jamiatul gulami Tangerang. Pada sistem penunjang keputusan terdapat beberapa metode diantaranya yang digunakan pada penelitian ini yaitu WP dan VIKOR. Metode Weight Product (WP) adalah metode yang menggunakan cara perkalian nilai, atribut untuk menghubungkan rating, dengan dilakukan dipangkatkan terlebih dahulu rating pada setiap atribut. Sedangkan Metode Vise Kriteriajumske Optimizakija I Kompromineso Resenje (VIKOR) melakukan perangkingan terhadap alternatif dan menentukan solusi yang mendekati ideal. Pada penelitian dilakukan teknik pengumpulan data dengan cara observasi ketempat lokasi yang menjadi penelitian dan melakukan wawancara kepada seorang guru bernama Muhamad Syakir S.Ag di Madrasah Tersebut. Pada hasil yang diperoleh dari penelitian yang telah dilakukan yaitu dengan Metode WP ditunjukan kepada A1 atas Nama Amelia Putri dengan nilai 0.104.Sedangkan pada metode VIKOR ditunjukan kepada A5 atas nama Eka Yulia dengan nilai 1.00.Kata kunci: SPK Siswa Berprestasi WP, Vikor

scholarly journals Integrated Decision Support Systems (IDSS) for Dairy Farming: A Discussion on How to Improve Their Sustained Adoption

Animals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 2025
Author(s):  
Michel Baldin ◽  
Tom Breunig ◽  
Roger Cue ◽  
Albert De Vries ◽  
Mark Doornink ◽  
...  
Keyword(s):  
Decision Support ◽  
Data Collection ◽  
Decision Support Systems ◽  
Support Systems ◽  
Dairy Farm ◽  
Ease Of Use ◽  
Barriers To Adoption ◽  
Production And Distribution ◽  
Collection Data ◽  
Decision Making Processes

Dairy farm decision support systems (DSS) are tools which help dairy farmers to solve complex problems by improving the decision-making processes. In this paper, we are interested in newer generation, integrated DSS (IDSS), which additionally and concurrently: (1) receive continuous data feed from on-farm and off-farm data collection systems and (2) integrate more than one data stream to produce insightful outcomes. The scientific community and the allied dairy community have not been successful in developing, disseminating, and promoting a sustained adoption of IDSS. Thus, this paper identifies barriers to adoption as well as factors that would promote the sustained adoption of IDSS. The main barriers to adoption discussed include perceived lack of a good value proposition, complexities of practical application, and ease of use; and IDSS challenges related to data collection, data standards, data integration, and data shareability. Success in the sustainable adoption of IDSS depends on solving these problems and also addressing intrinsic issues related to the development, maintenance, and functioning of IDSS. There is a need for coordinated action by all the main stakeholders in the dairy sector to realize the potential benefits of IDSS, including all important players in the dairy industry production and distribution chain.

Assigning Value to Clinical Information – A Major Limiting Factor in the Implementation of Decision-Support Systems

1996 ◽  
Vol 35 (01) ◽  
pp. 1-4 ◽  
Author(s):  
F. T. de Dombal
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Clinical Information ◽  
Limiting Factor ◽  
Major Difficulty ◽  
Computer Aided ◽  
Computer Aided Decision

AbstractThis paper deals with a major difficulty and potential limiting factor in present-day decision support - that of assigning precise value to an item (or group of items) of clinical information. Historical determinist descriptive thinking has been challenged by current concepts of uncertainty and probability, but neither view is adequate. Four equations are proposed outlining factors which affect the value of clinical information, which explain some previously puzzling observations concerning decision support. It is suggested that without accommodation of these concepts, computer-aided decision support cannot progress further, but if they can be accommodated in future programs, the implications may be profound.

Architectures for Architects

1993 ◽  
Vol 32 (01) ◽  
pp. 12-13 ◽  
Author(s):  
M. A. Musen
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Design And Development

Abstract:Response to Heathfield HA, Wyatt J. Philosophies for the design and development of clinical decision-support systems. Meth Inform Med 1993; 32: 1-8.

Characterizing Decision Support Telemedicine Systems

2006 ◽  
Vol 45 (05) ◽  
pp. 523-527 ◽  
Author(s):  
A. Abu-Hanna ◽  
B. Nannings
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Literature Search ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Problem Dimension ◽  
Process Dimension

Summary Objectives: Decision Support Telemedicine Systems (DSTS) are at the intersection of two disciplines: telemedicine and clinical decision support systems (CDSS). The objective of this paper is to provide a set of characterizing properties for DSTSs. This characterizing property set (CPS) can be used for typing, classifying and clustering DSTSs. Methods: We performed a systematic keyword-based literature search to identify candidate-characterizing properties. We selected a subset of candidates and refined them by assessing their potential in order to obtain the CPS. Results: The CPS consists of 14 properties, which can be used for the uniform description and typing of applications of DSTSs. The properties are grouped in three categories that we refer to as the problem dimension, process dimension, and system dimension. We provide CPS instantiations for three prototypical applications. Conclusions: The CPS includes important properties for typing DSTSs, focusing on aspects of communication for the telemedicine part and on aspects of decisionmaking for the CDSS part. The CPS provides users with tools for uniformly describing DSTSs.

Sign in / Sign up

Export Citation Format

Share Document