scholarly journals Technology Transfer and Human Capital in the Industrial 4.0 Scenario: A Theoretical Study

2019 ◽  
Vol 11 (1) ◽  
pp. 102-122 ◽  
Author(s):  
Vander Luiz Silva ◽  
João Luiz Kovaleski ◽  
Regina Negri Pagani
Keyword(s):  
Decision Making ◽  
Technology Transfer ◽  
Industry 4.0 ◽  
Theoretical Study ◽  
Technological Changes ◽  
Complex Process ◽  
Human Skills ◽  
University Industry ◽  
Selection Of ◽  
Job Prospects

In face of the technological changes derived from Industry 4.0, an initial, gradual and complex process of Technology Transfer (TT) is taking place that strongly relies on the integration between university, industry, and government. In this context, in order to make the Industry 4.0 approach a reality, several requirements need to be met. One of them is the need to qualify people to work in industries. This study aimed to explore the possible changes and perspectives of human work in Industry 4.0. A systematic literature review was carried out following a structured script. 50 were chosen for content analysis, following criteria for qualification and selection of studies. As a result, a number of changes in human skills and tasks, as well as job prospects, were found, standing out the greater flexibility of people, ability for decision-making, among others.

Multi-Criteria Decision Making in Manufacturing Systems

2019 ◽  
pp. 80-107
Author(s):  
Hande Erdoğan Aktan ◽  
Ömür Tosun
Keyword(s):  
Decision Making ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Decision Makers ◽  
Smart Factory ◽  
Multi Criteria Decision Making ◽  
Structural Modelling ◽  
Location Selection ◽  
The Relationship ◽  
Selection Of

In this study, an Industry 4.0-oriented electronical goods producer company's smart facility location selection problem is analyzed. The proposed problem is evaluated under environmental, economic, social, and technological criteria. The relationship between criteria are analyzed with interpretive structural modelling (ISM) and Matrice d'Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC) methods. ISM method is used to assess the mutual relation of the criteria and their dependencies, whereas the MICMAC method is used to identify the importance of criteria based on their driving and dependence power. It is expected the methods used in this study which are related to evaluation of the criteria affecting the selection of the plant for a smart factory and the results of it will be useful for decision-makers and practitioners to categorize and differentiate the criteria. This study will be one of the first spearheading research to evaluate the criteria for establishing a smart factory.

Decision Making on Glass Selection in Building Facade

2011 ◽  
Vol 250-253 ◽  
pp. 2792-2795
Author(s):  
Qiang Du ◽  
Jian Yang ◽  
Tian Hua Zhou
Keyword(s):  
Decision Making ◽  
Information Flow ◽  
Informed Decision ◽  
Building Envelopes ◽  
Factors Affecting ◽  
Robust Approach ◽  
Performance Requirements ◽  
Building Facade ◽  
Complex Process ◽  
Selection Of

Glass is widely used for its properties of transparency. It has been favoured by architects for the last two decades and used to deliver a distinct style of architecture. However, the conflicting performance requirements make the decision making on glass selection in building envelopes a complex process. This paper investigates the factors affecting the selection of glass used in building facade, and proposes a hierarchy of decision making to facilitate the information flow. This may provide an integrated and robust approach to reach an informed decision.

Novel Fuzzy Multi-Attribute Decision Making Method for the Selection of Open Unit Trusts Under Uncertainty

2020 ◽  
Vol 28 (06) ◽  
pp. 881-910
Author(s):  
Adam Borovička
Keyword(s):  
Decision Making ◽  
Evaluation Method ◽  
Investment Decision ◽  
Open Unit ◽  
Investment Decision Making ◽  
Complex Process ◽  
Outranking Methods ◽  
Multi Attribute Decision Making ◽  
Criteria Importance ◽  
Selection Of

Investment decision making is a complex process. Important decision concerns the (pre)selection of potential investment instruments to compose an investment portfolio. Conscientious selection involves the application of quantitative multi-criteria procedures. The typical element of uncertainty (i.e. unstable return or investor’s vague preferences about the criteria importance) must be considered. This combination of the typical characteristics of investment on the capital market can be addressed by means of fuzzy multi-attribute decision making methods. These methods effectively quantify the vague elements by using fuzzy numbers. However, the applicability of a relevant method sufficiently depends on the actual investment decision making problem. This article focuses on open unit trusts because this market is recently becoming more popular in the Czech Republic. Unfortunately, under all the practical and theoretical specifics of this type of investment, there is no known evaluation method that can satisfactorily solved this problem. Therefore, the main aim of this article is to propose a novel fuzzy multi-attribute decision making method that works for all investment conditions. Its algorithm is inspired by some principles of the outranking methods. The evaluation of open unit trusts offered by the Česká spořitelna, clearly demonstrates all of the benefits of the proposed concept compared to the existing methods.

Routing Analysis in a Heavily Dissected Jungle Environment

2012 ◽  
Author(s):  
Ian F. Morrison ◽  
Dennis O’Leary ◽  
Olivier Piraux ◽  
Rob Harris ◽  
Raphaël Dauphin
Keyword(s):  
Decision Making ◽  
Social Impact ◽  
Route Optimization ◽  
Maintenance Cost ◽  
Terrain Analysis ◽  
Sensing Technology ◽  
Complex Process ◽  
Decision Making Processes ◽  
Northern Peru ◽  
Selection Of

The selection of a pipeline route is of great importance in minimizing the levels of construction and maintenance cost and in determining the outcomes of reliability, environmental impact, social impact and development timeframe. The decision of choosing one route over another must be informed by the correct balance between significant variables using a structured and transparent process, arriving at repeatable results. Predictable outcomes depend on knowing what information is important in a particular context and utilizing information with a known level of accuracy. Each step in the process of refining a design and cost estimate is a function of the effort put into engineering design as well as the accuracy of the inputs. Knowing what information is required and how to get that information quickly and economically is key to meeting cost and time goals in the pipeline development process. Finding “the best” route varies from being a simple process in agricultural table lands, to a very complex process in rugged, remote, ecologically sensitive lands on the development frontier. In this paper the authors describe the process that was used in a heavily dissected jungle environment in a remote area of Northern Peru. Constraints included a very limited footprint for construction and operations, steep unstable slopes, continually varying grades and terrain types and a large number of water crossings. Issues that are discussed in this paper include: decision making for data acquisition and applicable remote sensing technology, terrain analysis tools, routing methodology, integration of construction methodology with terrain elements and route optimization and decision making processes.

R&D Process Models

2010 ◽  
pp. 31-54
Author(s):  
Robert S. Friedman ◽  
Desiree M. Roberts ◽  
Jonathan D. Linton
Keyword(s):  
Decision Making ◽  
Transaction Costs ◽  
Positive Relationship ◽  
Process Models ◽  
Technological Changes ◽  
Financial Decisions ◽  
Diversification Strategies ◽  
Research Findings ◽  
Development Processes ◽  
Selection Of

This chapter on research and development processes and models begins with a section concerning the economics and finance of R&D. Liberatore and Titus (1983) address the level and effectiveness that R&D managers have over the budgeting activities related to their projects and how best to improve these activities. Guerard, Bean, and Andrews’ (1987) focus is on the financial decisions hypothesis and development of an econometric model to examine the relationships of R&D with financing decision making. Hill and Snell (1988) discuss the different stresses and influences that investors and consumers place upon the R&D process, while Hokisson and Hitt (1988) examine management structure and diversification to understand their effect on investment by external capital markets in R&D firms. Baysinger and Hoskisson (1989) are also concerned with diversification strategies that affect R&D, reporting on their empirical research findings that suggest a positive relationship between the level of R&D intensity and the level of business dominance. The section concludes with Pisano (1990) and his discussion of sources of transaction costs, particularly small-numbers-bargaining hazards and appropriability concerns, and their effect on the selection of internal or external R&D sources when technological changes affect the locus of R&D expertise.

Selection of Contractor Using Multi-Criteria Decision Making Tools

2011 ◽  
Vol 4 (4) ◽  
pp. 139-142
Author(s):  
S.PUSHPARANI S.PUSHPARANI ◽  
◽  
Dr.S.SENTHAMILKUMAR Dr.S.SENTHAMILKUMAR
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Selection Of

Sistem Pendukung Keputusan SNMPTN Jalur Undangan Dengan Metode Electre

2018 ◽  
Vol 3 ◽  
pp. 14
Author(s):  
Lidia K Simanjuntak ◽  
Tessa Y M Sihite ◽  
Mesran Mesran ◽  
Nuning Kurniasih ◽  
Yuhandri Yuhandri
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Action Selection ◽  
Multi Criteria Decision Making ◽  
Prospective Students ◽  
College Entrance ◽  
Electre Method ◽  
Selection Of

All colleges each year organize the selection of new admissions. Acceptance of prospective students in universities as education providers is done by selecting prospective students based on achievement in school and college entrance selection. To select the best student candidates based on predetermined criteria, then use Multi-Criteria Decision Making (MCDM) or commonly called decision support system. One method in MCDM is the Elimination Et Choix Traduisant la Reality (ELECTRE). The ELECTRE method is the best method of action selection. The ELECTRE method to obtain the best alternative by eliminating alternative that do not fit the criteria and can be applied to the decision SNMPTN invitation path.

PEMILIHAN KEPLING TELADAN MENERAPKAN METODE RANK ORDER CENTROID (ROC) DAN METODE ADDITIVE RATIO ASSESSMENT (ARAS) DI KECAMATAN MEDAN AREA

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Liza Handayani ◽  
Muhammad Syahrizal ◽  
Kennedi Tampubolon
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Rank Order ◽  
Priority Level ◽  
The Village ◽  
Field Area ◽  
Selection Of

The head of the environment is an extension of the head of the village head in assisting or providing services to the community both in the administration of administration in the village and to other problems. It is natural for a kepling to be appreciated for their performance during their special tenure in the kecamatan field area. Previously, the selection of a dipling in a sub-district was very inefficient and seemed unfair for this exemplary selection to use a system to produce an accurate value, and no intentional element. To overcome the process of selecting an exemplary kepling that experiences these obstacles by using an application called a Decision Support System. Decision Support System (SPK) is a system that can solve a problem, and this system is also assisted with several methods, namely the Rank Order Centroid (ROC) method that can assign weight values to each of the criteria based on their priority level. And to do the ranking or determine an exemplary set using the Additive Ratio Assessment (ARAS) method, this method provides decision making that takes decisions based on ranking or the highest value.Keywords: Head of Medan Area Subdistrict, SPK, Centroid Rank Order, Additive Ratio Assessment (ARAS).

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN GURU BERPRESTASI KOTA MEDAN MENERAPKAN METODE PREFERENCES SELECTION INDEX (STUDI KASUS : DINAS PENDIDIKAN KOTA MEDAN)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Fajar Syahputra ◽  
Mesran Mesran ◽  
Ikhwan Lubis ◽  
Agus Perdana Windarto
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Formal Education ◽  
Basic Education ◽  
Selection Index ◽  
Main Task ◽  
Selection Of

The teacher is a major milestone in the world of education, the ability and achievement of students cannot be separated from the role of a teacher in teaching and guiding students. Based on the Law of the Republic of Indonesia No. 14 of 2005 concerning Teachers and Lecturers, in Article 1 explained that teachers are professional educators with the main task of educating, teaching, guiding, directing, training, evaluating, and evaluating students in early childhood education through formal education, basic education and education medium. Whereas in Article 4 of the Act, it is explained that the position of teachers as professionals serves to enhance the dignity and role of teachers as learning agents to function to improve the quality of national education.Decision making is an election process, among various alternatives that aim to meet one or several targets. The decision-making system has 4 phases, namely intelligence, design, choice and implementation. These phases are the basis for decision making, which ends with a recommendation.The Preferences Selection Index (PSI) method is a rarely used decision support system method. This method is a method developed by stevanie and Bhatt (2010) to solve the Multi Criteria Decision Making (MCDM). With the right consideration, this method can be one of the tools to determine policies in decision-making systems, especially the selection of outstanding teachers. Determination of policies taken as a basis for decision making, must use criteria that can be defined clearly and objectively.Keywords: Decision Support System, PSI, Selection of Achieving Teachers

Artikel Strategi tentang Pengambilan Keputusan

2019 ◽  
Author(s):  
Winda Safitri Caniago ◽  
Hade Afriansyah
Keyword(s):  
Decision Making ◽  
Optimization Model ◽  
Heuristic Model ◽  
Selection Of

Decision making is an action with determine the result in solving problem with choose a rule action between alternative through a mental of process, logic of process and etc. This purpose article is to help make it easier to solve a problem. This article explain some strategy decision making such as optimization model, satisfying model, mixed scanning model, heuristic model, and last the selection of certain model.

Sign in / Sign up

Export Citation Format

Share Document