scholarly journals Swarm modelling framework to improve design support systems capabilities

2020 ◽  
Vol 25 ◽  
pp. 398-415
Author(s):  
Gabriele Novembri ◽  
Francesco Livio Rossini
Keyword(s):  
Intelligent Agents ◽  
Optimal Solution ◽  
Simulation Modelling ◽  
Construction Sector ◽  
Adaptive Model ◽  
Improve Design ◽  
Modelling Framework ◽  
Proactive Behaviour ◽  
Modelling Approach ◽  
Multi Agents

The disruptive development of ICT technologies can be a decisive element in bringing the productivity of the construction sector closer to the highest performing ones, such as automotive. We base the proposed research on the improvement of existing tools with artificial intelligence techniques, with the goal of having a self-adaptive model regarding the objectives to achieve. So, we present a general framework based on the Swarm Simulation Modelling approach. Building objects, goals, constraints and design solutions will be represented as a Multi-Agents System able to communicate, interact and integrate over the existing BIM systems, ensuring a reactive and proactive behaviour. Finally, the model presents many interconnected intelligent agents, linked to building object. They can sense external ‘perturbations’ and react by re-organising their structure to satisfy imposed constraints. We can find the near optimal solution via the DCOP approach, autonomously.

scholarly journals Quota allocation in mixed fisheries: a bioeconomic modelling approach applied to the Channel flatfish fisheries

2011 ◽  
Vol 68 (7) ◽  
pp. 1580-1591 ◽  
Author(s):  
Paul Marchal ◽  
L. Richard Little ◽  
Olivier Thébaud
Keyword(s):  
Simulation Modelling ◽  
Marine Science ◽  
Economic Return ◽  
Effort Allocation ◽  
Modelling Framework ◽  
Bioeconomic Modelling ◽  
Quota Allocation ◽  
Eastern Channel ◽  
Modelling Approach

Abstract Marchal, P., Little, L. R., and Thébaud, O. 2011. Quota allocation in mixed fisheries: a bioeconomic modelling approach applied to the Channel flatfish fisheries. – ICES Journal of Marine Science, 68: 1580–1591. A simulation modelling approach is used to assess the respective performances of different regimes of quota allocation (fixed or transferable), quota ownership (owned or not by fishers), and taxation for catching fish above quota. The simulations account for a variety of fleet behaviours (ranging from fixed by tradition to dynamic economics-driven). The modelling framework is applied to the Channel flatfish mixed fisheries. Transferable quota allocation regimes would particularly benefit small netters and beam trawlers, which would achieve a profit of €50–150 million without compromising the conservation of eastern Channel sole, but it could impair the sustainability of other stocks. If quota is owned by fishers, the least fishing-efficient fleet stops fishing, but makes substantial profit from leasing quotas to beam trawlers and to small and large netters, which remain actively fishing. The highest economic return for quota owners (€200–300 million) is achieved when effort allocation is fixed by tradition. The profit achieved by small netters is greatest when fleets are almost entirely economics-driven. Increasing overquota landing taxes generally leads to conservation benefits for all stocks, but at the expense of lower profitability for the fishery overall.

scholarly journals Adaptive Model Building Framework for Production Planning in the Primary Wood Industry

Forests ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 1256
Author(s):  
Matthias Kaltenbrunner ◽  
Maria Anna Huka ◽  
Manfred Gronalt
Keyword(s):  
Production Planning ◽  
Model Building ◽  
Adaptive Model ◽  
Wood Industry ◽  
Modelling Framework ◽  
Industrial Implementation ◽  
Planning Models ◽  
Wide Range ◽  
Adaptive Modelling ◽  
Modelling Approach

Production planning models for the primary wood industry have been proposed for several decades. However, the majority of the research to date is concentrated on individual cases. This paper presents an integrated adaptive modelling framework that combines the proposed approaches and identifies evolving planning situations. With this conceptual modelling approach, a wide range of planning issues can be addressed by using a solid model basis. A planning grid along the time and resource dimensions is developed and four illustrative and interdependent application cases are described. The respective mathematical programming models are also presented in the paper and the prerequisites for industrial implementation are shown.

scholarly journals Toward a Self-Adaptive Cyberdefense Framework in Organization

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402098885
Author(s):  
Kuan-Jui Huang ◽  
Kuo-Huie Chiang
Keyword(s):  
Information System ◽  
Organizational Learning ◽  
Intelligent Agents ◽  
Coordination Mechanism ◽  
Learning Effects ◽  
Adaptive Model ◽  
Dynamic Propagation ◽  
The Future ◽  
Adaptive Framework ◽  
Self Adaptive

Organizations suffer more than ever from the inability to securely manage the information system, despite their myriad efforts. By introducing a real cyberattack of a bank, this research analyzes the characteristics of modern cyberattacks and simulates the dynamic propagation that makes them difficult to manage. It develops a self-adaptive framework that through simulation, distinctly improves cyberdefense efficiency. The results illustrate the discrepancies of the previous studies and validate the use of a time-based self-adaptive model for cybersecurity management. The results further show the significance of human and organizational learning effects and a coordination mechanism in obtaining a highly dependable cyberdefense setting. This study also provides an illuminating analysis for humans to position themselves in the collaborations with increasingly intelligent agents in the future.

Simulation modelling for the sizing of solid waste receiving facilities

1993 ◽  
Vol 20 (2) ◽  
pp. 220-227 ◽  
Author(s):  
M. Jimi Arey ◽  
Brian W. Baetz
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Traffic Congestion ◽  
Minimum Cost ◽  
Simulation Modelling ◽  
Waste Storage ◽  
Storage Area ◽  
Transfer Stations ◽  
Service Channels ◽  
Modelling Approach

Solid waste receiving facilities such as recycling centres, transfer stations, incinerators, and landfills may experience significant traffic congestion and waste storage buildup problems due to the random arrival patterns of waste delivery vehicles. The provision of an increased number of service channels and increased waste storage area will reduce the congestion and buildup problems and the associated costs, but will also incur increased capital and operating costs. A simulation modelling approach for evaluating system performance is described in this paper, and the modelling approach is applied to representative Canadian waste receiving facilities. A minimum cost approach is implemented to determine the preferred number of service channels for one application example. The sizing methodology developed should be useful to waste management engineers and planners for both the design of planned solid waste receiving facilities and the operational analysis of existing facilities for a range of projected conditions. Key words: waste management, facility sizing, simulation modelling.

scholarly journals Applying Simulation Modelling in Quantifying Optimization Results

2021 ◽  
Vol 15 (4) ◽  
pp. 518-523
Author(s):  
Ratko Stanković ◽  
Diana Božić
Keyword(s):  
Linear Programming ◽  
Simulation Model ◽  
Input Data ◽  
Optimization Problems ◽  
Programming Model ◽  
Optimal Solution ◽  
Simulation Modelling ◽  
Simulation Software ◽  
Programming Models ◽  
Freight Forwarding

Improvements achieved by applying linear programming models in solving optimization problems in logistics cannot always be expressed by physically measurable values (dimensions), but in non-dimensional values. Therefore, it may be difficult to present the actual benefits of the improvements to the stake holders of the system being optimized. In this article, a possibility of applying simulation modelling in quantifying results of optimizing cross dock terminal gates allocation is outlined. Optimal solution is obtained on the linear programming model by using MS Excel spreadsheet optimizer, while the results are quantified on the simulation model, by using Rockwell Automation simulation software. Input data are collected from a freight forwarding company in Zagreb, specialized in groupage transport (Less Than Truckload - LTL).

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 EFFICIENT ENGINEERING IN DEVELOPMENT OF CONSTRUCTION SECTOR COMPETITIVENESS

2021 ◽  
Vol 21 (3) ◽  
pp. 90-99
Author(s):  
O.N. Bekirova ◽  
◽  
S.A. Barkalov ◽  
M.S. Trifonova
Keyword(s):  
System Analysis ◽  
Consumer Preferences ◽  
Optimal Solution ◽  
Real Estate Market ◽  
Point Of View ◽  
Economic Conditions ◽  
Construction Sector ◽  
Construction Enterprise ◽  
Modern Economic ◽  
Optimal Construction

The COVID-19 pandemic has really become a real shock for the whole world. The way of life has changed not only for people, but also for companies in various industries. Today, the real estate market, like many other industries, is in conditions of economic instability. The study highlights the problems faced by the construction sector in the current conditions of the coronavirus pandem-ic. One of these problems is the sustainable competitiveness of construction and its compliance with new consumer preferences. Aim. The study of the influence of engineering solutions and other fac-tors on the competitiveness of construction in modern economic conditions, the definition of key criteria. Development and description of the decision-making methodology for choosing the optimal construction enterprise from the point of view of competitiveness. Materials and methods. The methods of system analysis, optimization methods, hierarchy analysis and decision theory are ap-plied in the work. Within the framework of the proposed methodology, the author's method of identifying key competitiveness criteria has been developed. Since the problem of choosing the optimal solution from among the alternatives is based on a multi-criteria approach, the use of this method is quite appropriate. The template for the formation of the methodology was identified based on the analy-sis of existing research in this area. Results. The author summarizes and supplements the criteria and factors affecting the competitiveness of construction organizations in the study. The author's method of making a decision on determining the optimal construction enterprise from the point of view of competitiveness based on the criteria considered by the author is presented. This technique includes several stages: 1) forming a goal; 2) formation of criteria by which organizations will be evaluated; 3) calculation of criteria for each organization and bringing them to a homogeneous type of data; 4) building a tree of goals and a matrix of priorities; 5) Determining the values of priority vectors for each organization under study. Conclusion. The total influence of criteria and engineering solutions on the competitiveness of construction is determined. In this regard, the implementation of the con-struction project should be carried out taking into account the strategic goals of the organization and binding to the identified criteria. The proposed methodology is developed for Russian construc-tion companies operating in modern economic conditions.

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