A hybrid agent-based and Discrete Event Simulation approach for sustainable strategic planning and simulation analytics

Fakhimi, Masoud; Anagnostou, Anastasia; Stergioulas, Lampros K.; Taylor, Simon J. E.

doi:10.1109/wsc.2014.7020009

Cited by 20 publications

(7 citation statements)

References 24 publications

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“…We thus argue that a simulation approach chosen for TBL modeling may include both discrete and continuous modeling capabilities; this would address both short-term changes and the long-term evolution of the system under scrutiny. The argument is further strengthened by our experience of the combined use of two discrete approaches, ABS- DES 92 and SD-DES, 93 for sustainable planning in healthcare. The findings from the former showed that the application of the ABS-DES hybrid model for complex TBL-based systems could be tedious and, at some levels, prone to inconsistencies.…”

Section: Discussionmentioning

confidence: 99%

An investigation into modeling and simulation approaches for sustainable operations management

Fakhimi

Mustafee²,

Stergioulas

2016

SIMULATION

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An Investigation into Modeling and Simulation Approaches for Sustainable Operations ManagementModeling & Simulation (M&S) studies have been widely used in industry to gain insights into existing or proposed systems of interest. The majority of these studies focus on productivity-related measures to evaluate systems' performance. This paradigm, however, needs to be shifted to cope with the advent of sustainability as it is increasingly becoming an important issue in the managerial and the organizational agenda. The application of M&S to evaluate the often competing metrics associated with sustainable operations management (SOM) is likely to be a challenge. The aim of this review is to investigate the underlying characteristics of SOM that lends towards modeling of production and service systems, and further to present an informed discussion on the suitability of specific modeling techniques in meeting the competing metrics for SOM. Triple bottom line, which is a widely used concept in sustainability and includes environmental, social and economic aspects, is used as a benchmark for assessing this. Findings from our research suggest that a hybrid (combined) M&S approach could be an appropriate method for SOM analysis; however it has its challenges!

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Section: Discussionmentioning

confidence: 99%

An investigation into modeling and simulation approaches for sustainable operations management

Fakhimi

Mustafee²,

Stergioulas

2016

SIMULATION

Self Cite

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“…Secondly, queue is a basic element in DES, which could model the efficiency and capacity of the system, but ABS does not contain this concept (Maidstone, 2012). Researchers have used ABS-DES hybrid model in analysing supply chain (Krejci, 2015;Mittal and Krejci, 2015), healthcare (Fakhimi et al, 2014 ;2015Liravias et al, 2015, transportation (Wang et al, 2014) and production (Barra Montevechi et al, 2015).…”

Section: )mentioning

confidence: 99%

Using hybrid modelling to simulate and analyse strategies

Kunc

2019

JM2

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Purpose This paper aims to explore the applicability and strengths of proposing the three-paradigm hybrid simulation (HS) approach to developing and analysing strategies. The objective of the modelling effort is to conceptually illustrate its use in strategic planning by combining with the threat-opportunity-weakness-strength (TOWS) matrix, which builds a bridge between strategic management with the operations research community. The authors also aim to introduce a modelling framework to help model designers to apply HS to their own business issues. Design/methodology/approach The paper presents a process to develop a HS model associated with the development of strategies using the TOWS matrix. Findings After developing the model and testing four strategies, the best option for the supermarket to increase market share and sales is implementing the strength–opportunity strategy, which involves online shopping to adapt to the digital world. Research limitations/implications First, some modelling assumptions are used to simplify the development process, but they need further validation. Second, the real data collection is limited. Third, the personal learning edition of the simulation software is not a comprehensive version and has some limitations. Practical implications The hybrid model and the scenario planning introduced, in this study, could allow decision makers to rehearse the potential strategy before actual implementation. The framework is easy to implement to other business and industry. Originality/value This study links HS with strategic management, which has not been performed previously and evaluates the capability of HS in strategic planning. The functionality of the modelling platform has been tested for simulating a completely dynamic system.

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“…Hybrid DES-ABM is described as the process from the entity's viewpoint, thus decentralize "some of" the rules. Goh, et al [37] describes the hybrid model in a simple manner as; the first component of the hybrid model is an ABM-DES model that analyzes a system in an individual level [39]. This component therefore produces data for the existing base case system, as well as, for systems to test strategic planning scenarios.…”

Section: Hybrid Des-abm Simulation Modellingmentioning

confidence: 99%

“…The second component is the intelligent DES workflow-based that takes as inputs the incident data that is generated from the base case and scenarios. The DES model then combines the timebased input data, and compares the KPIs between the simulated scenarios [39].…”

Section: Hybrid Des-abm Simulation Modellingmentioning

confidence: 99%

Process Modelling in Civil Infrastructure Projects: A Review of Construction Simulation Methods

Alkaissy¹,

Arashpour²,

Fayezi³

et al. 2019

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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It is known that process simulation is a feasible solution to deal with real-world complexities and problems. Civil infrastructure in particular, is a complex system that can benefit from process simulation. This paper provides a critical overview of different simulation modelling paradigms used in construction to achieve better system performance. Three simulation paradigms of agent based modelling, discrete events simulation, and system dynamics are reviewed and their different applications, specifically in civil infrastructure are discussed. The paper then discusses the hybrid paradigms of agent based modelling with system dynamics, and agent based modelling with discrete event simulation, and how hybrid approaches have better capabilities to model complex problems occurring in civil infrastructure. Such modelling approaches, therefore, will improve overall efficiency of construction production.

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A hybrid agent-based and Discrete Event Simulation approach for sustainable strategic planning and simulation analytics

Cited by 20 publications

References 24 publications

An investigation into modeling and simulation approaches for sustainable operations management

An investigation into modeling and simulation approaches for sustainable operations management

Using hybrid modelling to simulate and analyse strategies

Process Modelling in Civil Infrastructure Projects: A Review of Construction Simulation Methods

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