scholarly journals Agent-based Modelling and Simulation of Airline Operations Control Decision-Making under Uncertainty

2021 ◽  
Author(s):  
Soufiane Bouarfa ◽  
Henk Blom ◽  
Kamal Belhadji
Keyword(s):  
Decision Making ◽  
Modelling And Simulation ◽  
Decision Making Under Uncertainty ◽  
Airline Operations ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Operations Control ◽  
Control Decision

scholarly journals Analysis of Interactions of Key Stakeholders on B2C e-Markets - Agent Based Modelling and Simulation Approach

Organizacija ◽  
2016 ◽  
Vol 49 (2) ◽  
pp. 138-149 ◽  
Author(s):  
Aleksandar Marković ◽  
Sava Čavoški ◽  
Andrej Novović
Keyword(s):  
Decision Making ◽  
Simulation Model ◽  
Modelling And Simulation ◽  
Agent Based Simulation ◽  
Business Decisions ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Customer Behaviour ◽  
Online Sales ◽  
Sales Systems

Abstract Background/purpose: This paper discusses the application of ABMS - agent-based modelling and simulation in the analysis of customer behaviour on B2C e-commerce websites as well as in the analysis of various business decisions upon the effects of on-line sales. The continuous development and dynamics in the field of e-commerce requires application of advanced decision-making tools. These tools must be able to process, in a short time period, a large amount of data generated by the e-commerce systems and enable the use of acquired data for making quality business decisions. Methodology: The methodology of the agent-based simulation used in this paper may significantly enhance the speed and quality of decision making in electronic trade. The models developed for the needs of this research aim to improve the use of practical tools for the evaluation of the B2C online sales systems in that they allow for an investigation into the outcomes of varied strategies in the e-commerce site management as regards customer behaviour, website visits, scope of sales, income earned, etc. Results: An agent-based simulation model developed for the needs of this research is able to track the interactions of key subjects in online sales: site visitors - prospective consumers, sellers with different business strategies, and suppliers. Conclusion: Simulation model presented in this paper can be used as a tool to ensure a better insight into the problem of consumer behavior on the Internet. Companies engaged in the B2C e-commerce can use simulation results to better understand their consumers, improve market segmentation and business profitability and test their business policies.

scholarly journals Agent-based Modelling and Simulation for Circular Business Model Experimentation

2021 ◽  
pp. 200055
Author(s):  
Kasper P.H. Lange ◽  
Gijsbert Korevaar ◽  
Inge F. Oskam ◽  
Igor Nikolic ◽  
Paulien M. Herder
Keyword(s):  
Business Model ◽  
Modelling And Simulation ◽  
Agent Based ◽  
Agent Based Modelling

scholarly journals Communication During Bushfires, Towards a Serious Game for a Serious Matter

2018 ◽  
Vol 10 (2) ◽  
pp. 79-105 ◽  
Author(s):  
Carole Adam ◽  
Charles Bailly ◽  
Julie Dugdale
Keyword(s):  
Social Sciences ◽  
General Public ◽  
Communication Strategies ◽  
Modelling And Simulation ◽  
Serious Game ◽  
Mutual Understanding ◽  
Valuable Insight ◽  
Communication Model ◽  
Agent Based ◽  
Agent Based Modelling

Australia is frequently hit by bushfires. In 2009, the ''Black Saturday'' fires killed 173 people and burnt hectares of bush. As a result, a research commission was created to investigate, and concluded that several aspects could be improved, in particular better understanding of the population actual behaviour, and better communication with them. The authors argue that agent-based modelling and simulation is a great approach to provide tools to improve mutual understanding: let managers test communication strategies, and let residents understand the managers' perspective. Concretely, they extended an existing simulator with a theoretically-grounded communication model based in social sciences; they added user interactivity with the model and investigated gamification to turn it into a serious game to involve the general public. The authors present the results of first experiments with different communication strategies, providing valuable insight for better communication with the population during such events. Finally, they discuss future extensions and generalisation of this simulator.

scholarly journals Is there a Need for Agent-based Modelling and Simulation in Business Process Management?

Organizacija ◽  
2018 ◽  
Vol 51 (4) ◽  
pp. 255-269 ◽  
Author(s):  
Michal Halaška ◽  
Roman Šperka
Keyword(s):  
Business Process ◽  
Business Process Management ◽  
Process Management ◽  
Well Being ◽  
Modelling And Simulation ◽  
Simulation Experiments ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Advantages And Disadvantages ◽  
The Impact

AbstractBackground and Purpose: Agent-based modelling and simulation (ABS) is growing in many areas like, e.g., management, social and computer sciences. However, the similar trend does not seem to occur within the field of business process management (BPM), even though simulation approaches like discrete event simulation or system dynamics are well established and widely used. Thus, in our paper we investigate the advantages and disadvantages of agent-based modelling and simulation in the field of BPM in simulation experiments.Design/Methodology/Approach: In our research, we investigate if there is a necessity for ABS in the field of BPM with our own simulation experiments to compare traditional and ABS models. For this purpose, we use simulation framework MAREA, which is a simulation environment with integrated ERP system. Our model is a complex system of a trading company selling computer cables. For the verification of our model, we use automated process discovery techniques.Results: In our simulations, we investigated the impact of changes in resources’ behavior on the outcome of company’s order to cash process (O2C). Simulations experiments demonstrated that even small changes might have statistically significant effect on outcomes of the processes and decisions based on such outcomes. Simulation experiments also demonstrated that the impact of randomly distributed fluctuations of well-being have a diminishing tendency with the increasing number of sales representatives involved in the process.Conclusions: Our research revealed several advantages and disadvantages of using ABS in business process modelling. However, as we show, many of them were at least partially addressed in the recent years. Thus, we believe that ABS will get more attention in the field of BPM similarly to other fields like, e.g., social sciences. We suggested areas in BPM simulations, e.g., modelling of resources, be it human or technological resources, where there is a need for ABS.

Complex Adaptive Logistics System Optimization Using Agent-Based Modelling and Simulation

2013 ◽  
pp. 223-236
Keyword(s):  
Experimental Study ◽  
Extreme Events ◽  
System Optimization ◽  
Modelling And Simulation ◽  
Future Trends ◽  
Logistics System ◽  
Research Directions ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Complex Adaptive

This chapter examines how to control the extreme events happening when a complex adaptive logistics system is implemented in used product remanufacturing, particularly in the used products transhipment stage. The chapter starts with an introduction about the necessity of introducing the complex adaptive logistics system. Then, the related studies dealing with similar issues are discussed in the background section. Next, the focal problem of this chapter is stated in the problem statement section. A detailed description about the approach (i.e., the agent-based modelling and simulation) can be found in the proposed methodology section. Right after this, an illustrative simulation example is discussed in the experimental study section. The potential research directions regarding the main problem considered in this chapter are highlighted in the future trends section. Finally, the conclusions drawn in the last section close this chapter.

Used Products Return Pattern Analysis Using Agent-Based Modelling and Simulation

2013 ◽  
pp. 38-58
Keyword(s):  
Experimental Study ◽  
Service Quality ◽  
Pattern Analysis ◽  
End Users ◽  
Modelling And Simulation ◽  
Future Trends ◽  
Problem Statement ◽  
Research Directions ◽  
Agent Based ◽  
Agent Based Modelling

This chapter examines the used products return service quality perceived by the end users and their corresponding willingness-to-return with respect to the used products in their possession. The chapter starts with an introduction about the issue of return quantity encountered at the used product collection stage. Then, related studies dealing with returns quantity are discussed in the background section. Next, the focal problem of this chapter is stated in the problem statement section. A detailed description about the approach (i.e., agent-based modelling and simulation) can be found in the proposed methodology section. Right after this, three simulations, with each one linked to a specific used products return scenario, are conducted in the experimental study section. The potential research directions regarding the main problem considered in this chapter are highlighted in the future trends section. Finally, the conclusion drawn in the last section closes this chapter.

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