... theoretical architecture of DTs, a methodological divergence remains regarding their predictive capabilities. A critical analysis of the literature reveals that the majority of resilience studies rely heavily on discrete-event simulation or agent-based modeling (Ivanov and Dolgui, 2021 ; Bhandal et al...

... by simulating nonlinear growth responses, feedback loops and carrying capacity constraints. Simulations revealed optimal biomass growth at ∼ 25 °C, with a significant decline under heat stress conditions (>35 °C), confirming threshold-based system behaviour. Originality/value This study introduces...

.... The SD model aims to simulate depictions of the behaviour of the real system while testing the effects of alternative decisions over time. Design/methodology/approach An SD methodology was chosen to model diversification in farm tourism. Findings A system approach increases the authors...

... developed to achieve the purpose of the research. In the first stage, a technology acceptance model for BIM acceptance was developed using the grounded theory (GT) method. This conceptual model provides a holistic basis for building a simulation model. Thus, in the second stage, we used the dynamics system...

... of such disruptions. Design/methodology/approach In this paper, the authors adopt a simulation-based technique to explore the impacts of various traits of disruptions like frequency and duration on the FPS inventory system. A simulation model for the Indian FPS is developed and the impacts of disruptions...

... 2019 29 07 2019 © Emerald Publishing Limited 2019 Emerald Publishing Limited Licensed re-use rights only Policy design Simulation System dynamics Water scarcity Urmia lake In many countries, watershed (basin) management is very important and authorities attempt...

...Nithya R.P.; Haridass M. Purpose The purpose of this paper is to provide simulation modelling for bulk arrival bulk service queueing system involved in a textile industry and analyze the performance metrics. Design/methodology/approach This paper describes the simulation modelling of a bulk...

... reciprocal integration produces abstractions from the concrete that enable thought. The real problem in this case is a given ontological system or reality. Originality/value The essential elements of the models – variables, equations, simulation and feedback – are studied using a dialectic Hegelian...

... applications in the simulation of sustainable urban development over a period from 2005 to 2017. Design/methodology/approach The analysis reveals that the number of applications of system dynamics modelling in the area of urban sustainable development increased in the analysed period. Research has changed...

...Milad Yousefi; Moslem Yousefi Purpose The complexity and interdisciplinarity of healthcare industry problems make this industry one of the attention centers of computer-based simulation studies to provide a proper tool for interaction between decision-makers and experts. The purpose of this study...

... the whole system and dissect the contributory factors of crowd stampede accident. To systematically construct the theoretical framework and find fundamental solutions, co-word analysis with Citespace is used to get the critical data. An agent-based simulation using Pathfinder is conducted to develop...

... In this paper, 4 aspects and 17 factors influencing IING adoption were generalized. Based on the theory of social physics, an agent-based simulation model, introducing physical energy theory to depict consumer’s decision-making, was built. An agent’s kinetic energy reflects the agent’s perceived effect of mass...

...Anja Kreidler; Meike Tilebein Purpose Literature is unanimous about the effects of functional diversity in new product development teams. This paper uses simulation modeling to investigate the contradictory and dynamic effects of functional team diversity on innovation revealed by empirical...

... as a result of delayed balance feedback loops shaped by decision-making processes of actors that intend to control crime. This system matches a well-known systemic archetype that explains those persistent oscillations. The paper also introduces a simulation model for testing that dynamic hypothesis...

... systems that adopt various strategies that provide a balance between reducing the bullwhip effect and improving the responsiveness of inventory performance. Design/methodology/approach The proposed production-inventory control system is modelled and analysed via control theory and simulations...

... that the distribution of customer demand is unknown. The price–demand relationship is considered in addition form and product form, respectively. The bootstrap sampling technique is used to develop a solution procedure for the problem. To validate the usefulness of the proposed method, a simulated comparison...

...-based investment analysis model is applied together with Monte Carlo simulation. Findings It is plausible to combine managerial estimates about metal price trends and cycles with stochastic modeling for shorter term and to include the information into investment analysis. The results show...

...Joan C. Micó; Antonio Caselles; David Soler; Pantaleón D. Romero Purpose The purpose of this paper is to suggest a formalism given by an equation suitable for simulating discrete systems with space-time variation in addition to other change variables. With such formalism, multidimensional...

... a symbiosis theory perspective, the authors studied the dynamic evolution stages and symbiotic mode of MIPIE. By adopting logistic model, the symbiotic evolution model of MIPIE is established. After calculating the steady conditions and equilibrium point of this model, numerical simulation was done...

... ( 0 ) ( i ) , k = 1 , 2 , … , n . ARIMA Forecasting Simulation Energy consumption GM(1,1) model Linear growth sequence The Grey System Theory was formulated by Julong Deng in the 1980s. It focuses on uncertain problems of small data (Deng, 2002) and the GM(1,1...