AB-SD Hybrid Modelling Approach: A Framework for Evaluating Industrial Sustainability Scenarios

Demartini, Melissa; Bertani, Filippo; Tonelli, Flavio

doi:10.1007/978-3-030-03003-2_17

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…ABS is used to model the heterogeneity, behavior and interaction between the agents. SD models global variable behavior, system boundaries, and internal structure of agents [164].…”

Section: Abs-sdmentioning

confidence: 99%

Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy

Khan

Abonyi

2022

Sustainability

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At the current worrisome rate of global consumption, the linear economy model of producing goods, using them, and then disposing of them with no thought of the environmental, social, or economic consequences, is unsustainable and points to a deeply flawed manufacturing framework. Circular economy (CE) is presented as an alternative framework to address the management of emissions, scarcity of resources, and economic sustainability such that the resources are kept ‘in the loop’. In the context of manufacturing supply chains (SCs), the 6R’s of rethink, refuse, reduce, reuse, repair, and recycle have been proposed in line with the achievement of targeted net-zero emissions. In order to bring that about, the required changes in the framework for assessing the state of manufacturing SCs with regard to sustainability are indispensable. Verifiable and empirical model-based approaches such as modeling and simulation (M&S) techniques find pronounced use in realizing the ideal of CE. The simulation models find extensive use across various aspects of SCs, including analysis of the impacts, and support for optimal re-design and operation. Using the PRISMA framework to sift through published research, as gathered from SCOPUS, this review is based on 202 research papers spanning from 2015 to the present. This review provides an overview of the simulation tools being put to use in the context of sustainability in the manufacturing SCs, such that various aspects and contours of the collected research articles spanning from 2015 to the present, are highlighted. This article focuses on the three major simulation techniques in the literature, namely, Discrete Event Simulation (DES), Agent-Based Simulation (ABS), and System Dynamics (SD). With regards to their application in manufacturing SCs, each modeling technique has its pros and its cons which are evinced in case of data requirement, model magnification, model resolution, and environment interaction, among others. These limitations are remedied through use of hybrids wherein two or more than two modeling techniques are applied for the desired results. The article also indicates various open-source software solutions that are being employed in research and the industry. This article, in essence, has three objectives. First to present to the prospective researchers, the current state of research, the concerns that have been presented in the field of sustainability modeling, and how they have been resolved. Secondly, it serves as a comprehensive bibliography of peer-reviewed research published from 2015–2022 and, finally, indicating the limitations of the techniques with regards to sustainability assessment. The article also indicates the necessity of a new M&S framework and its prerequisites.

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“…ABS is used to model the heterogeneity, behavior and interaction between the agents. SD models global variable behavior, system boundaries, and internal structure of agents [164].…”

Section: Abs-sdmentioning

confidence: 99%

Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy

Khan

Abonyi

2022

Sustainability

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“…In addition, hybrid modeling approaches have been increasingly used in recent years. These include, for example, combinations of agent-based modeling with system dynamics [13] or with ontologies [14] or the combination of ontologies and network theory [15].…”

Section: Related Work: Simulation Reviewmentioning

confidence: 99%

ESProNet: A Model Library for the Dynamic Simulation of Industrial Symbiosis

Maiwald¹,

Kosmol²,

Pieper³

et al. 2020

IJMO

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One approach to a more sustainable industry is the reuse of waste and by-products. In particular, the exchange of resources between companies and the reuse of energy are considered critical, as they are time-dependent and may require technical or organizational changes to the production system leading to new interdependencies between the companies. Simulation is a suitable tool for analyzing the dynamic behavior of production systems to identify and evaluate critical factors and risks with regard to compatibility or feasibility, necessary changes and their effects on the system. This paper presents a modeling and simulation approach for resource reuse and exchange in the context of industrial symbiosis. To distinguish the proposed method from related work, an overview of existing modeling and simulation approaches is presented. The suggested approach is based on the modeling language Modelica. A custom model library with reusable preconfigured model elements is developed to model and simulate different production systems and scenarios bottom-up and modularly and in order to investigate interactions between resource providers and consumers. The conceptual and mathematical development of the model components and their interaction principles are presented and demonstrated. Based on this, organizational interdependencies and their economic and ecological impacts can be analyzed.Index Terms-Modelica-based modeling, dynamic simulation, sustainable manufacturing, industrial symbiosis.

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“…However, the same methods can be used for both situations, making alterations to existing structures has a different set of issues than new construction. A hybrid modeling approach enables the analysis and redesigning of industrial areas based on sustainable strategy with industrial symbiosis [13]. Although the IS development requires the application of analytic methodology and modeling tools to support and facilitate the process [30], there is a lack of methods that address the differences involving the creation and adaption of industrial symbiosis.…”

Section: Systemic Analysismentioning

confidence: 99%

“…Furthermore, a hybrid system of ABM and SD has been proposed in order to address the unique characteristics of the IS problem [9,13]. As the ABM method is more recent, the SD method is more mature.…”

Section: Paradigms To Industrial Symbiosis Modeling and Simulatingmentioning

confidence: 99%

An Evaluation of the Industrial Symbiosis Systems Modeling

Guedes

Souza

Borsato

2019

Advances in Transdisciplinary Engineering

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Industrial symbiosis, a concept derived from industrial ecology, emphasizes the collaborative and synergic production among industries. The particular focus is on cyclical flows of resources (material, energy, water, and/or by-products), in order to minimize impacts on the environment. In this way, an industry could reuse the discarded resources of another industry as an input to production. Essentially, the characteristics of the interaction between components of the system define industrial symbiosis as complex and dynamic. Uncertainty, unpredictability, emergency, and adaptability are determining features of this interaction. The development of such an innovative system requires great effort. An important step is to create a representative model of this new reality to support system change. Hence, the present article develops an evaluation of the industrial symbiosis systems modeling. For this purpose, the research adopted a bibliometric and systemic analysis. The results presented in this paper are: (i) an analysis of scientific knowledge about the theme, (ii) the main points discussed and opportunities extracted in the literature, and (iii) the paradigms of industrial symbiosis modeling and simulating. In addition, this work will cooperate as a research base for the development of a new model, which intends to support decision-making processes, during the creation of symbiosis links.

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AB-SD Hybrid Modelling Approach: A Framework for Evaluating Industrial Sustainability Scenarios

Cited by 4 publications

References 7 publications

Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy

Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy

ESProNet: A Model Library for the Dynamic Simulation of Industrial Symbiosis

An Evaluation of the Industrial Symbiosis Systems Modeling

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