Agent-based Modelling and Simulation for Circular Business Model Experimentation

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.

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

Organizacija ◽

10.2478/orga-2018-0019 ◽

2018 ◽

Vol 51 (4) ◽

pp. 255-269 ◽

Cited By ~ 1

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.

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Agent-Based Modelling and Simulation of Religious Crowd Gatherings in India

Advances in Intelligent Systems and Computing - Advanced Computational and Communication Paradigms ◽

10.1007/978-981-10-8237-5_45 ◽

2018 ◽

pp. 465-472 ◽

Cited By ~ 1

Author(s):

Abha Trivedi ◽

Mayank Pandey

Keyword(s):

Modelling And Simulation ◽

Agent Based ◽

Agent Based Modelling

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

Advances in Environmental Engineering and Green Technologies - Computational Intelligence in Remanufacturing ◽

10.4018/978-1-4666-4908-8.ch013 ◽

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.

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

Advances in Environmental Engineering and Green Technologies - Computational Intelligence in Remanufacturing ◽

10.4018/978-1-4666-4908-8.ch003 ◽

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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