System Dynamics and Graphical Interface Modeling of a Fig-Derived Micro-Producer Factory

Lagarda-Leyva, Ernesto A.; Bueno-Solano, Alfredo; Morales-Mendoza, Luis Fernando

doi:10.3390/su142013043

Cited by 4 publications

(5 citation statements)

References 19 publications

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“…From the two matrix equations described, by means of the Ackermann formula is calculated the vector of gains, where is the matrix A or internal of the system and the matrix of controllability of the system C; see Equation (6).…”

Section: Methodsmentioning

confidence: 99%

“…System dynamics (SD) is a tool based on simulation models that allows us to address complex situations [1] and solve specific problems. It was created in the 1950s and was called industrial dynamics, but over time it has been adapted for application to different problems [2][3][4][5][6][7][8]. SD finds its main applications in complex and undefined environments, where human decisions intervene [9].…”

Section: Introductionmentioning

confidence: 99%

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Design and Development of an Optimal Control Model in System Dynamics through State-Space Representation

Sánchez

Serrato

2023

Applied Sciences

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Control engineering and state-space representation are valuable tools in the analysis and design of dynamic systems. In this research, a methodology is proposed that uses these approaches to transform a system-dynamics simulation model into a mathematical model. This is achieved by expressing input, output and state variables as input, output and state vectors, respectively, allowing the representation of the model in matrix form. The resulting model is linear and time-invariant, facilitating its analysis and design. Through the use of this methodology, the system transfer matrix is obtained, which allows the analysis and design of the optimal control of the simulation model. The Ackermann gain-control technique is used to determine the optimal control of the system, which results in a shorter settlement time. This research proposal seeks to mathematically strengthen simulation models and provide an analytical alternative through modern control engineering in SD simulation models. This would allow more informed and effective decisions in the implementation of dynamic systems.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and Development of an Optimal Control Model in System Dynamics through State-Space Representation

Sánchez

Serrato

2023

Applied Sciences

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“…The system's equations, grouped by type (stocks, ovens, flows, and auxiliary) are presented in Table 2. Previous studies have demonstrated that the use of level and flow diagrams generates formal visual structures based on simulators producing equations representing each one of the existing relationships in the entire supply chain [29,30]. The literature review performed by Gomes Filho et al [31] establishes a relationship between the type of supply chain and the flow of existing resources and stock accumulation.…”

Section: Constructing Stock and Flow Diagrams And Their Equationsmentioning

confidence: 99%

A System Dynamics Approach to Valorize Overripe Figs in the Brewing of Artisanal Beer

Lagarda-Leyva,

Ruiz,

Morales-Mendoza

2024

Sustainability

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Craft beer production has grown extensively worldwide. The variety of products and grains that can be used in production make this artisanal product unique. In this study, we propose a system dynamics model that allows for the evaluation of different production scenarios in which figs are used as the main ingredient. This research is inspired by the real case of small fig producers in Valle del Mayo in Navojoa, Sonora, Mexico, who, in 2020, took on the challenge of creating a processing factory for fig-derived products. This paper presents the development and application of a system dynamics approach to model the entire supply chain of overripe figs, i.e., figs that cannot be marketed in prime quality but can still be used in the production of derivative products. The method used for its development encompasses the following stages: (1) defining the craft beer supply chain variables; (2) elaborating on causal diagrams; (3) producing model stock and flow diagrams; (4) model validation; (5) sensitivity analysis and scenario evaluations; and (6) building a graphical user interface (GUI). The proposed model allows managers to assess several production policies under various assumptions of capacity and beer demand, demonstrating its value as an effective tool for strategic decision making.

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“…[16] Graphical user interface Design of graphical user interface with combinatorial optimization problems. [5,18,19,29] Initial contributions of system dynamics methodologyMethodologies with different applications in businesses using validation technique models.…”

Section: Author (S)mentioning

confidence: 99%

“…The method used to develop the technological solution considered the five stages described as follows [3][4][5]29]:…”

Section: System Dynamics Stagementioning

confidence: 99%

System Dynamics and Sustainable Solution: The Case in a Large-Scale Pallet Manufacturing Company

Lagarda-Leyva,

Acosta-Quintana,

Portugal-Vásquez

et al. 2023

Sustainability

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The proposal in the present research study is the result of a more than two-year process developed in a pallet manufacturing company for anchor enterprises in Southern Sonora, Mexico dedicated to beer production and export to the United States of America. Considering the high pallet demand for this supplier, a strategic plan was created in 2021, establishing an important project for developing technological solutions to improve decision making supported by graphical user interface and focused on sustainability. This study shows the application of system dynamics in all the wood and pallet manufacturing processes with a strategic sourcing supply chain. The method used for its development had the following stages: (1) developing the mapping process; (2) creating the causal loop diagram; (3) developing a flow and stock model with the representing mathematical equations; (4) simulating and validating current scenarios; (5) evaluating normal, optimistic, and pessimistic scenarios with multicriteria decision making using Technique to Order Preferences by Similarity and the Ideal Solution (TOPSIS) and Faire Un Choix Adéquat (FUCA); (6) building the graphical interface. The most relevant results for the company were having quantitative information regarding the pallet demand required by the main client for wood availability, which was the main restriction in the supply chain. The solution was based on four validation tests that allowed decision makers to support the production proposals considering the assistance of the dynamic models. The main conclusion demonstrated that using well-defined operation rules and policies—considering the installed capacity and pallet demand through the model solution—allows anticipating decisions on pallet quantity and reducing the risk of out-of-time deliveries.

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System Dynamics and Graphical Interface Modeling of a Fig-Derived Micro-Producer Factory

Cited by 4 publications

References 19 publications

Design and Development of an Optimal Control Model in System Dynamics through State-Space Representation

Design and Development of an Optimal Control Model in System Dynamics through State-Space Representation

A System Dynamics Approach to Valorize Overripe Figs in the Brewing of Artisanal Beer

System Dynamics and Sustainable Solution: The Case in a Large-Scale Pallet Manufacturing Company

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