scholarly journals Simulation Model to Estimate Emotions in Collaborative Networks

2019 ◽  
Vol 9 (23) ◽  
pp. 5202 ◽  
Author(s):  
Ferrada ◽  
Camarinha-Matos
Keyword(s):  
Simulation Model ◽  
Simulation Modelling ◽  
Research Area ◽  
Collaborative Networks ◽  
Collaborative Network ◽  
Agent Based ◽  
Modelling Framework ◽  
Implementation Approach ◽  
Modelling Techniques ◽  
Technical Features

In recent years, the research on collaborative networks has been pointing to the need to put more emphasis on the social interactions of its participants, along with technical features, as a potential direction to finding solutions to prevent failures and potential conflicts. In this context, a modelling framework called Collaborative EMOtion modelling framework (C-EMO), conceived for appraising the collaborative network emotions that might be present in a collaborative networked environment, is presented, and an implementation approach, based on system dynamics and agent-based simulation modelling techniques, for estimating both the collaborative network emotional state and each member’s emotions, is described. The work is divided in two parts: the first considers the design of the models and the second comprises the transformation of these conceptual models into a computer model, providing the proposed simulation model. In order to validate the simulation model, and taking into consideration the novelty of the research area, experiments are undertaken in different scenarios representing several aspects of a collaborative environment and a sensitivity analysis and discussion of the results is performed.

From Childhood Poverty to Catfish

2012 ◽  
pp. 79-98
Author(s):  
France Cheong ◽  
Brian Corbitt
Keyword(s):  
System Dynamics ◽  
Optimal Strategies ◽  
Simulation Modelling ◽  
Strategic Decision ◽  
Childhood Poverty ◽  
Agent Based ◽  
Participatory Modelling ◽  
Agent Based Modelling ◽  
Modelling Framework ◽  
Modelling Techniques

Strategic decision makers are frequently faced with unstructured problems that cannot be solved adequately by analytical means. In such situations, a better decision-making approach is one based on stakeholders’ participation. A particular form of such an approach is known as participatory modelling, whereby participatory methods are used for knowledge elicitation while simulation modelling techniques are used to determine optimal strategies. In this paper, the authors discuss a participatory modelling framework using agent-based modelling and System Dynamics, which illustrates the use of the framework for two projects. These projects include participatory agent-based modelling of childhood poverty in Vietnam, and participatory System Dynamics modelling of the Vietnamese catfish industry.

From Childhood Poverty to Catfish

2010 ◽  
Vol 1 (3) ◽  
pp. 14-32 ◽  
Author(s):  
France Cheong ◽  
Brian J. Corbitt
Keyword(s):  
System Dynamics ◽  
Optimal Strategies ◽  
Simulation Modelling ◽  
Strategic Decision ◽  
Childhood Poverty ◽  
Agent Based ◽  
Participatory Modelling ◽  
Agent Based Modelling ◽  
Modelling Framework ◽  
Modelling Techniques

Strategic decision makers are frequently faced with unstructured problems that cannot be solved adequately by analytical means. In such situations, a better decision-making approach is one based on stakeholders’ participation. A particular form of such an approach is known as participatory modelling, whereby participatory methods are used for knowledge elicitation while simulation modelling techniques are used to determine optimal strategies. In this paper, the authors discuss a participatory modelling framework using agent-based modelling and System Dynamics, which illustrates the use of the framework for two projects. These projects include participatory agent-based modelling of childhood poverty in Vietnam, and participatory System Dynamics modelling of the Vietnamese catfish industry.

scholarly journals A Hybrid Simulation Modelling Framework for Combining System Dynamics and Agent-Based Models

2021 ◽  
Author(s):  
Le Khanh Ngan Nguyen ◽  
◽  
Susan Howick ◽  
Itamar Megiddo ◽  
◽  
...  
Keyword(s):  
System Dynamics ◽  
Hybrid Simulation ◽  
Simulation Modelling ◽  
Agent Based Models ◽  
Agent Based ◽  
Modelling Framework

scholarly journals Simulation study for investment decisions on the EcoBoost camshaft machining line

2011 ◽  
Vol 225 (11) ◽  
pp. 2124-2137 ◽  
Author(s):  
J Ladbrook ◽  
B Tjahjono ◽  
E Oakes ◽  
R R de Sanabria Sales ◽  
A G de Rueda ◽  
...  
Keyword(s):  
Simulation Model ◽  
Simulation Study ◽  
Manufacturing Systems ◽  
Investment Decisions ◽  
Transition Process ◽  
Simulation Modelling ◽  
Assembly Lines ◽  
Research Project ◽  
Modelling Techniques ◽  
Series Of Experiments

Design/redesign of manufacturing systems is a complex, risky, and expensive task. Ford Motor Company’s Valencia Engine Plant faces this challenge as it plans to upgrade its machining and assembly lines to introduce the new EcoBoost engines. The research project described in this paper aimed to support the transition process particularly at the camshaft machining line by using simulation modelling techniques. A series of experiments was carried out using the simulation model developed, and recommendations were proposed based on the results of these experiments to support the decision as to where to invest on the line. The outcomes from the research project indicated that investment is required in terms of increasing the capacity of two bottleneck operations through retooling and improving the conveyor routing logic in one key area.

scholarly journals On the quest for defining organisational plasticity: a community modelling experiment

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Peer-Olaf Siebers ◽  
Dinuka Herath ◽  
Emanuele Bardone ◽  
Siavash Farahbakhsh ◽  
Peter Gloggengiehser Knudsen ◽  
...  
Keyword(s):  
Simulation Model ◽  
Computational Simulation ◽  
Idea Generation ◽  
Simulation Models ◽  
Social Simulation ◽  
Agent Based Simulation ◽  
Content Type ◽  
Agent Based ◽  
Modelling Framework ◽  
The Social

PurposeThis viewpoint article is concerned with an attempt to advance organisational plasticity (OP) modelling concepts by using a novel community modelling framework (PhiloLab) from the social simulation community to drive the process of idea generation. In addition, the authors want to feed back their experience with PhiloLab as they believe that this way of idea generation could also be of interest to the wider evidence-based human resource management (EBHRM) community.Design/methodology/approachThe authors used some workshop sessions to brainstorm new conceptual ideas in a structured and efficient way with a multidisciplinary group of 14 (mainly academic) participants using PhiloLab. This is a tool from the social simulation community, which stimulates and formally supports discussions about philosophical questions of future societal models by means of developing conceptual agent-based simulation models. This was followed by an analysis of the qualitative data gathered during the PhiloLab sessions, feeding into the definition of a set of primary axioms of a plastic organisation.FindingsThe PhiloLab experiment helped with defining a set of primary axioms of a plastic organisation, which are presented in this viewpoint article. The results indicated that the problem was rather complex, but it also showed good potential for an agent-based simulation model to tackle some of the key issues related to OP. The experiment also showed that PhiloLab was very useful in terms of knowledge and idea gathering.Originality/valueThrough information gathering and open debates on how to create an agent-based simulation model of a plastic organisation, the authors could identify some of the characteristics of OP and start structuring some of the parameters for a computational simulation. With the outcome of the PhiloLab experiment, the authors are paving the way towards future exploratory computational simulation studies of OP.

Influential Factors of Collaborative Networks in Manufacturing: Validation of a Conceptual Model

10.28945/2120 ◽  
2015 ◽  
Vol 10 ◽  
pp. 001-019 ◽  
Author(s):  
Danny Wee Hock Quik ◽  
Nevan Wright ◽  
Ammar Rashid ◽  
Sivadass Thiruchelvam
Keyword(s):  
Organizational Support ◽  
Influential Factors ◽  
Perceived Usefulness ◽  
Manufacturing Industries ◽  
Collaborative Networks ◽  
Collaborative Network ◽  
Perceived Effectiveness ◽  
External Stakeholders ◽  
Technical Systems ◽  
External Learning

The purpose of the study is to identify influential factors in the use of collaborative networks within the context of manufacturing. The study aims to investigate factors that influence employees’ learning, and to bridge the gap between theory and praxis in collaborative networks in manufacturing. The study further extends the boundary of a collaborative network beyond enterprises to include suppliers, customers, and external stakeholders. It provides a holistic perspective of collaborative networks within the complexity of the manufacturing environment, based on empirical evidence from a questionnaire survey of 246 respondents from diverse manufacturing industries. Drawing upon the socio-technical systems (STS) theory, the study presents the theoretical context and interpretations through the lens of manufacturing. The results show significant influences of organizational support, promotive interactions, positive interdependence, internal-external learning, perceived effectiveness, and perceived usefulness on the use of collaborative networks among manufacturing employees. The study offers a basis of empirical validity for measuring collaborative networks in organizational learning and knowledge/information sharing in manufacturing.

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