Distributed Anthropocentric FA System - Manufacturing Machine and Human Interface with Intervention Support System -

1997 ◽  
Vol 9 (6) ◽  
pp. 468-474
Author(s):  
Jie Zhu ◽  
◽  
Tohru Ihara ◽  
Kimihiro Amano ◽  
Hiroyuki Hiraoka ◽  
...  
Keyword(s):  
Support System ◽  
Shop Floor ◽  
Automation System ◽  
Entire System ◽  
Human Judgment ◽  
Factory Automation ◽  
Human Interface ◽  
Variable Quantity ◽  
Using Data ◽  
Manufacturing Machine

This paper proposes an intervention support system between a manufacturing machine and a human for an anthropocentric factory automation system, which deals with feasible human interfaces and which treats unexpected problems in variable-kind variable-quantity production. In such production, repair tasks, dependent on non-deterministic human judgment, are required for raising the restorative capability of the system. An intervention support system using data carriers, engineering workstations, a point-of-production system, and PLC language is constructed. In this intervention support system, workers can understand the entire system, and heuristic information from tasks is easily accumulated as a result of experience at the shop-floor level.

Study on E-Government and its Decision Support System

2014 ◽  
Vol 635-637 ◽  
pp. 1738-1741 ◽  
Author(s):  
Jun Tao ◽  
Jiao Liang Yu
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Fast Response ◽  
Multidimensional Analysis ◽  
Test Cases ◽  
Model Library ◽  
Response Performance ◽  
Using Data ◽  
Olap Analysis

Based on the analysis of E-government decision support system's basic theory and mainstream solutions, combined with the popular OLAP technology, presents a white spoon OLAP based decision support system to improve e-government program, using data warehouse and model library together to support OLAP analysis, test cases and successfully used with the project, the results show that this scheme can achieve the desired requirements, with better performance and fast response performance multidimensional analysis, OLAP operations can be completed with reference promotional value.

scholarly journals Metode Simple Additive Weighting (SAW) Dalam Pemilihan Sim Card Provider

2020 ◽  
Vol 1 (2) ◽  
pp. 97-108
Author(s):  
Andy Widya Putera ◽  
Anna Mukhayaroh ◽  
Samudi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
The Internet ◽  
Community Activities ◽  
Internet Connection ◽  
Sim Card ◽  
Using Data ◽  
Simple Additive Weighting ◽  
Selection Of

With the development of technology at this time Sim Card Provider is needed to support community activities. In Indonesia alone many Sim Card Provider many services and also ease of accessing the internet, sonsumers are required to see which Sim Card Provider suits their needs. To overcome the problem of selecting the Sim Card Provider, a Decision Support System will be made using the Simple Additive Weighting (SAW) method using data taken from questionnaires distributed to Sim Card Provider users, which is expected to help in the selection of the appropriate Sim Card Provider with Consumer needs. The author uses six criteria, namely Signal, Price, Internet Package, Internet Connection, Phone Bonus, SMS Bonus. By using five alternatives namely Simpati, XL, Indosat, Smartfren, Three (3). The final result of this study indicated that alternative 5 or Three (3) has the biggest result of 3,245 and alternative 3 namely Indosat has the lowest result among the alternatives which is 2,625.   Keywords: Criteria, Sim Card Provider, Simple Additive Weighting   Abstrak   Dengan berkembangnya teknologi pada saatini Sim Card Provider sangat dibutuhkan untuk menunjang aktivitas masyarakat. Di Indonesia sendiri banyak Sim Card Provider banyak menyediakan layanan dan juga kemudahan dalam mengakses internet, konsumen dituntut untuk melihat manakah Sim Card Provider yang sesuai dengan kebutuhan. Untuk mengatasi masalah pemilihan Sim Card Provider tersebut maka akan dibuat Sistem Pendukung Keputusan dengan menggunakan Metode Simple Additive Weighting (SAW) dengan menggunakan data yang diambil dari kuesioner yang dibagikan kepada para pengguna Sim Card Provider, yang diharapkan dapat membantu dalam pemilihan Sim Card Provider yang sesuai dengan kebutuhan Konsumen. Penulis menggunakan enam kriteria yaitu Sinyal, Harga, Paket Internet, Koneksi Internet, Bonus Telpon, Bonus Sms. Dengan menggunakan lima alternatif yaitu Simpati, XL, Indosat, Smartfren, Three (3). Hasil akhir dari penelitian ini menunjukan bahwa alternatif 5 atau Three (3) memiliki hasil terbesar yaitu 3,245 dan alternatif 3 yaitu Indosat memiliki hasil terendah diantara alternatif yang ada yaitu 2,625. Kata kunci: Kriteria, Sim Card Provider, Simple Additive Weighting

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