A system dynamics model: Transition to sustainable processes

Pérez-Pérez, Juan Fernando; Parra, Juan Felipe; García, Jakeline Serrano

doi:10.1016/j.techsoc.2021.101579

Cited by 9 publications

(6 citation statements)

References 55 publications

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“…It is used in policy development and organizational planning [4,12], public policy and management [13], behavioral economics [14], dynamics with complex nonlinearities [15], modeling in biology and medicine [16], natural and social science theory development [17], energy and the environment [18], dynamic decision-making processes [19], software development/engineering [20], and supply chain management [21][22][23]. This approach applies to complex problems in managerial, social, ecological, or economic systems; in fact, it applies to any dynamic system characterized by interconnection, mutual dependence, information flow, and circularity [6].…”

Section: System Dynamics Modeling and Its Applications In Supply Chai...mentioning

confidence: 99%

“…First called industrial dynamics [3], SDM was developed in the mid-1950s by Professor Jay W. Forrester at the Massachusetts Institute of Technology [3,4]. SDM originates from management and control engineering; this approach involves analyzing complex physical, biological, and social systems from the perspective of feedback and delays [5,6].…”

Section: Introductionmentioning

confidence: 99%

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Supply Chain Simulation of Manufacturing Shirts Using System Dynamics for Sustainability

Kaur,

Kander

2023

Sustainability

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In supply chain management (SCM), goods and services flow from the raw materials stage to the end user with complexities and uncertainty at each stage. Computer modeling and simulation is a particularly useful method to examine supply chain operational issues because it can solve operational complexities that are challenging and time consuming to analyze. Manufacturing companies fear losing valuable time and assets during the manufacturing process; the inaccurate estimation of raw materials, human capital, or physical infrastructure not only leads to monetary loss for the manufacturing unit, but also has a detrimental effect on the environment. The purpose of this paper is to demonstrate that system dynamics modeling (SDM) in sustainable supply chain management (SSCM) can be applied to apparel manufacturing to optimize materials, labor, and equipment usage. Utilizing system dynamics (SD), the manufacturing unit can improve sustainability by reducing materials, labor, and equipment usage, which in turn reduces energy use. In our literature review, we did not identify any study addressing supply chain simulation of the manufacturing of shirts using SDM. We chose shirt manufacturing to demonstrate the model because of its relatively simple manufacturing process. In our study, we conclude that SDM simulation is an efficient way to optimize materials, labor, and equipment in apparel manufacturing. This leads to a more sustainable manufacturing process, as the model simulates different manufacturing supply chain scenarios in a risk-free environment, thereby minimizing waste and resources. Further, the outputs from the STELLA® model can be used as inputs into a subsequent life cycle assessment (LCA) model to determine the quantitative environmental impacts.

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Section: System Dynamics Modeling and Its Applications In Supply Chai...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Supply Chain Simulation of Manufacturing Shirts Using System Dynamics for Sustainability

Kaur,

Kander

2023

Sustainability

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“…When developing CPIs, several characteristics must be considered, including production capacity, product conceptualisation, organisational aptitude and competition (Tsai, 2012). CPI, once conceived, could contribute to the creation of green products (Berchicci & Bodewes, 2005; Pérez‐Pérez et al, 2021) because innovation leads to refining technical requirements or aligning them with consumer demands and preferences (such as overcoming current environmental issues) (Dangelico et al, 2021; Niedermeier et al, 2021).…”

Section: Theoretical Background and Literature Reviewmentioning

confidence: 99%

Capabilities and organisational dimensions conducive to green product innovation: Evidence from Croatian and Spanish manufacturing firms

et al. 2022

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This paper aims to determine which configuration of green innovation capabilities (GICs) and organisational dimensions (ODs) leads to achieving green product innovation (GPI). We used data collected through the European Manufacturing Survey (EMS) from manufacturing firms in Spain and Croatia considered to be innovators.After conducting a cluster analysis, we identified a group of firms that still develop conventional product innovations (CPIs) and three groups of firms at different stages of GPI development. The four clusters were characterised using different variables, or determinants of GPI, associated with seven GICs and five ODs that favour GPI.According to the findings, all the GICs and ODs under analysis have a positive impact on GPI development, which results in the consolidation of a framework that organisations could use to manage green innovation. By empirically showing the relevance of applying these constructs, this study makes contributions to the Resource-Based Theory (RBT), along with its extension to GICs, and points to the need to associate them with the ODs to achieve GPI towards the challenge of sustainable development.

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“…The 1412 screened articles were published between 2015 and 2022. With the exception of 2022 (142), the number of articles published each year has grown since 2015, as shown in Figure 3. This indicates that academic interest in the given topic is growing.…”

Section: Initial Data Statisticsmentioning

confidence: 99%

“…Similarly, another study focused on strategic decision-making using SD looks at the modalities of policy-making in case of transition to sustainable manufacturing [142]. SD is used to model the effects of employee training, efficient equipment, and reduce costs and energy consumption as prerequisites to eco-invention.…”

Section: System Dynamics (Sd)mentioning

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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A system dynamics model: Transition to sustainable processes

Cited by 9 publications

References 55 publications

Supply Chain Simulation of Manufacturing Shirts Using System Dynamics for Sustainability

Supply Chain Simulation of Manufacturing Shirts Using System Dynamics for Sustainability

Capabilities and organisational dimensions conducive to green product innovation: Evidence from Croatian and Spanish manufacturing firms

Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy

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