scholarly journals Virtual Factories with Knowledge-Driven Optimization as a New Research Profile

2020 ◽  
Author(s):  
Amos H.C. Ng ◽  
Sunith Bandaru
Keyword(s):  
Decision Support ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Optimal Solutions ◽  
Intelligent Decision Support System ◽  
Virtual Factory ◽  
Radical Innovations ◽  
Research Profile ◽  
New Research ◽  
The University

This paper conceptually introduces VF-KDO (Virtual Factories with Knowledge-Driven Optimization, a research profile of the University of Skövde, Sweden, which is underway from 2018-2026. The goal of this research profile is to deliver radical innovations in manufacturing research essential to the design and operation of next-generation manufacturing systems. A unique concept proposed in VF-KDO is: knowledge extracted for decision support is achieved through systematically exploring, e.g., using advanced, interactive data analytics techniques on optimal solutions generated via many-objective optimizations on virtual factory models. As the word “driven” means “motivated” or “manipulated”, so does KDO have some two-fold meanings: (1) optimizations that aim at generating knowledge, not only mathematically optimal solutions; (2) knowledge-controlled optimizations, instead of some blind/black-box processes. It is this concept of KDO, combining with modular, virtual factory models at different levels, which distinguishes VF-KDO from other related research efforts found internationally and in Sweden. The cutting-edge research topics involved in the research profile and their synergy with the digitalization efforts of the 7 partner companies, in form of the development of an intelligent decision support system, can be used to improve the competiveness of the Swedish manufacturing industry by supporting their holistic, optimal and sustainable decision making.

MATERIAL HANDLING MACHINES AND SYSTEMS – UMI-TWINN PROJECT CONTRIBUTION

2019 ◽  
Vol 12 (1) ◽  
pp. 7-20
Author(s):  
Péter Telek ◽  
Béla Illés ◽  
Christian Landschützer ◽  
Fabian Schenk ◽  
Flavien Massi
Keyword(s):  
Material Handling ◽  
Digital Data ◽  
Flow Process ◽  
Research Directions ◽  
Scientific Excellence ◽  
Research Activities ◽  
New Research ◽  
Eu Project ◽  
The University

Nowadays, the Industry 4.0 concept affects every area of the industrial, economic, social and personal sectors. The most significant changings are the automation and the digitalization. This is also true for the material handling processes, where the handling systems use more and more automated machines; planning, operation and optimization of different logistic processes are based on many digital data collected from the material flow process. However, new methods and devices require new solutions which define new research directions. In this paper we describe the state of the art of the material handling researches and draw the role of the UMi-TWINN partner institutes in these fields. As a result of this H2020 EU project, scientific excellence of the University of Miskolc can be increased and new research activities will be started.

SISTEM PENDUKUNG KEPUTUSAN UNTUK PEMBERIAN BEASISWA “PROGRAM JONT DEGREE” UNIVERSITAS BHAYANGKARA SURABAYA MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP)

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Alek Siswanto ◽  
Syariful Alim
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Communication Skill ◽  
Degree Program ◽  
Skill Test ◽  
Scholarship Recipients ◽  
The University ◽  
Hierarchy Process

Grant scholarships to students are conducted by the University based on the achievements achieved. Since the last few years Bhayangkara University has run a Joint Degree Program scholarship in cooperation with Thailand, India, and plans to continue to the Netherlands. In scholarship grants, the Universityoften finds it difficult to determine the scholarship recipients, so it is found that scholarships are not accurate due to the manual system for the awarding of scholarships. The decision support system is an information system aimed at assisting the University in solving the problem of awarding Joint Degree Program scholarship. One method that can be used in decision support systems is Analitycal Hierarchy Process (AHP). The Analytical Hierarchy Process (AHP) method takes into account the extent of validity to the extent of inconsistency tolerance of the various criteria and alternatives chosen by the decision maker. In this research, the data used is UBHARA student data 3 last generation. The criteria used are GPA, TOEFL score, TPA Test Score, and Value of Communication Skill Test. From the results of experiments carried out the results of manual calculations of the application and manual calculations from the Institute of Cooperation get a presentation 100% equation in determining scholarship recipients. So as to produce the ranking of students, two students with the highest score in each department that will get a Joint Degree Program scholarship.Keywords: Scholarship, Student, Analytical Hierarchy Process (AHP), Decision Support System.

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