An introductory guide for hybrid simulation modelers on the primary simulation methods in industrial engineering identified through a systematic review of the literature

Scheidegger, Anna Paula Galvão; Pereira, Tábata Fernandes; Oliveira, Mona Liza Moura de; Banerjee, Amarnath; Montevechi, José Arnaldo Barra

doi:10.1016/j.cie.2018.07.046

Cited by 61 publications

(37 citation statements)

References 80 publications

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“…In doing so, it links actors with resources and information to support the beneficiary. The development of digital twins required different elements of simulations when linking different lifecycle phases and architecture levels, referred to as "hybrid simulation" in the literature [89][90][91][92][93][94][95][96]. According to Scheidegger et al [93], simulation in manufacturing systems focuses on discrete event simulation (DES).…”

Section: Value Co-creation and Information Systemsmentioning

confidence: 99%

“…The development of digital twins required different elements of simulations when linking different lifecycle phases and architecture levels, referred to as "hybrid simulation" in the literature [89][90][91][92][93][94][95][96]. According to Scheidegger et al [93], simulation in manufacturing systems focuses on discrete event simulation (DES). Jeon and Kim [90] offer a comprehensive overview of eight issues based around production and production planning, together with an indication of which simulation modelling approach (e.g., agent-based simulation (ABS), DES, and system dynamics of S-D) is best suited to each.…”

Section: Value Co-creation and Information Systemsmentioning

confidence: 99%

“…They compare different hybrid approaches of ABS, DES, and S-D, and conclude that the combination of ABS and DES is well suited for the modelling of manufacturing issues, where ABS makes modelling actor variability easier and also allows the detection of phenomena as they emerge in the system. S-D modelling is focused on observation on the system level and used for strategic-level modeling [90,93].…”

Section: Value Co-creation and Information Systemsmentioning

confidence: 99%

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Digital Twin Providing New Opportunities for Value Co-Creation through Supporting Decision-Making

et al. 2021

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The application of digital twins provides value creation within the fields of operations and service management; existing research around decision-making and value co-creation is limited at this point. Prior studies have provided insights into the benefits of digital twins that combined both data and simulation approaches; however, there remains a managerial gap. The purpose of this paper is to explore this research gap using input from a multiple case study research design from both manufacturing environments and non-manufacturing environments. The authors use ten cases to explore how digital twins support value co-creation through decision-making. The authors were all involved in the development of the ten cases. Individual biases were removed by using the literature to provide the assessment dimensions and allowing a convergence of the results. Drawing on the lessons from the ten cases, this study empirically identified eight managerial issues that need to be considered when developing digital twins to support multi-stakeholder decision-making that leads to value co-creation. The application of digital twins in value co-creation and decision-making is a topic that has developed from practice and is an area where a research gap exists between theory and practice. A cross-case analysis was developed based on the literature and the ten cases (eight industrial and two pilot-scale cases) providing the empirical findings. The findings describe how firms can design, develop, and commercialize digital-twin-enabled value propositions and will initiate future research.

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Section: Value Co-creation and Information Systemsmentioning

confidence: 99%

Section: Value Co-creation and Information Systemsmentioning

confidence: 99%

Section: Value Co-creation and Information Systemsmentioning

confidence: 99%

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Digital Twin Providing New Opportunities for Value Co-Creation through Supporting Decision-Making

et al. 2021

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“…How frequent transmission events occur could be defined by an overall rate/probability or individually specified based on other attributes such as age and health status. Many studies have compared different aspects of these simulation methods such as assumptions, inputs, outputs, data dependency, advantages and disadvantages (11)(12)(13)(14)(15)(16).…”

Section: Manuscript Body Introductionmentioning

confidence: 99%

Hybrid Simulation for Modeling Healthcare-associated Infections: Promising But Challenging

Nguyen

Megiddo

Howick

2020

Clinical Infectious Diseases

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Healthcare-Associated Infections (HAIs) are a major public health problem as they pose a serious risk for patients and providers, increasing morbidity, mortality, and length of stay as well as costs to patients and the health system. Prevention and control of HAIs has, therefore, become a priority for most healthcare systems. Systems simulation models have provided insights into the dynamics of HAIs and help to evaluate the effect of infection control interventions. However, as each systems simulation modeling method has strengths and limitations, combining these methods in hybrid models can offer a better tool to gain complementary views on, and deeper insights into, HAIs. Hybrid models can, therefore, assist decision-making at different levels of management, and provide a balance between simulation performance and result accuracy. This paper discusses these benefits in more depth but also highlights some challenges associated with the use of hybrid simulation models for modeling HAIs.

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“…There are three main and most important simulation methods: discrete event modeling [6][7][8][9], agent modeling [10][11][12], and system dynamics [13][14][15]. To study a particular system, the researcher determines which method to use.…”

Section: Introductionmentioning

confidence: 99%

An innovative approach to the study of the model of a medical institution

Grober

Savchenko

2020

E3S Web Conf.

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The majority of municipal medical institutions are not working effectively enough. Long waiting in the queue to see a doctor is one of the most significant problem of the organization in the field of healthcare. The SADT (Structured Analysis and Design Technique) methodology was used to find out the problems of functioning of the medical center. Functional diagrams of the subject area were constructed, which helped to understand how individual business processes of the organization that need to be optimized are implemented. A simulation model of the medical center "Detstvo+" in the GPSS World programming language has been developed. it is an open Queuing network consisting of 5 large nodes that are Queuing systems, which allows us to imagine the process of functioning of the medical center. The model was optimized according to the efficiency criterion of this system: while maintaining the volume of the incoming flow of applications, the number of rejections is kept to a minimum, while it is necessary to reduce the length of queues for doctor appointments. This model can also be used by institutions with a similar organizational structure to improve their systems and make management decisions.

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An introductory guide for hybrid simulation modelers on the primary simulation methods in industrial engineering identified through a systematic review of the literature

Cited by 61 publications

References 80 publications

Digital Twin Providing New Opportunities for Value Co-Creation through Supporting Decision-Making

Digital Twin Providing New Opportunities for Value Co-Creation through Supporting Decision-Making

Hybrid Simulation for Modeling Healthcare-associated Infections: Promising But Challenging

An innovative approach to the study of the model of a medical institution

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