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Purpose: Circular economy (CE) principles have evolved in response to natural resource depletion as a set of guidelines for eliminating the linear take-use-dispose model of product consumption. The consequences of shifting from a linear to a circular supply chain are difficult to visualize in the long term. This study aims to design a methodology for building a simulation model to implement CE strategies in any small and medium-sized enterprise SME to prove policies before implementing them in the real world. This paper applied the methodology in a biological cycle case study: a confectionery factory in Mexico. Design/methodology/approach: This study evaluated service-dominant logic, ecosystem services, system dynamics, and agent-based modeling to design the proposed methodology. A series of interviews with stakeholders were performed to assess the simulation model during the development phase. The circular economy indicator prototype (CEIP) was used as a circular maturity measure of the confectionery factory. The simulator was executed in Netlogo software, implementing a four-scenario analysis based on two CE policies for the caramel recycling process. Five state variables were proposed in this analysis: confectionery waste, recycled glucose, recycling utilization, costs of recycled glucose, and profit. Findings: The CEIP score of the confectionery factory was 52%, rated as a "good" product. Regarding scenario analysis, the first scenario had the highest profit improvement. Practical implications: The simulator allowed stakeholders to understand the operation of the recycling process and visualize all variables involved in the system. Originality/value: In the CE literature, little attention has been paid to proposing a methodology for designing a simulation model to implement CE strategies in any industry. Thus, this study implements a nine-step methodology based on services context and dynamic simulation tools to design a platform to evaluate and visualize the consequences of CE strategies implementation in the long term. [ABSTRACT FROM AUTHOR]

This article applies the Dynamic Simulation (DS) technique to the dynamic input-output model (DS/IO) designed by Johnson (1985 and 1986). The model is a generalization of the static input-output model (Leontief, 1941), with an additional emphasis on economic imbalance. The DS/IO consists of a system of 4n differential equations and 2n constraints. Therefore, attempts to model analytically are likely to be unsuccessful without numerical simulation. The DS/IO used data from the Mexican economy for calibration and validation. It was found that the dynamic multipliers are greater than the static multipliers due to the accelerator effect. The simulation of the DS/IO is also validated by the fact that the adjustment between current values and production projections from 2013 to 2019 is plausible. [ABSTRACT FROM AUTHOR]

This text presents a re-elaboration of the strategic planning of the mexican economy dynamic multisectorial model. The new version of the model involves a redefinition of three aspects. At the empirical level, the new national input output matrix forms the basis of information (INEGI, 2008). At the conceptual level, we incorporate a refinement of the behavior of the external sector, external debt and production. And, at the programming level, the computer simulation program is STELLA/IThink (9.0.1). As the model application we use the proposal of the federal government called "Program of Commercial Facilitation: A Structural Reform" (SE y SHCP, 2008), which aims to maintain the competitiveness of the industrial sector within a stage of total openness to all countries. [ABSTRACT FROM AUTHOR]

This study presents a techno-economic performance evaluation of a hybrid low-concentrating photovoltaic/thermal (LCPV/T) plant, which operates in a student sports and wellness center building situated at a university campus in Mexico. The solar plant comprises 144 LCPV/T collectors based on a hybridized version of a local parabolic trough technology. Dynamic thermal and electrical performance analyses were performed in the TRNSYS simulation studio. The results showed that the solar field could cover up to 72% of the hot water demand of the building during the summer season and 24% during the winter season. The hybrid system could annually save 7185 USD, accounting for heat (natural gas boiler) and electricity generation. However, the payback time was of 19.23 years, which was mainly attributed to a reduced natural gas price in Monterrey, Mexico. A new approach to evaluating the equivalent levelized cost of heat (LCOHeq), is proposed. This results in an LCOHeq of 0.065 USD/kWh, which is nearly equivalent to the LCOH of a natural gas-fired boiler (0.067 USD/kWh). Finally, the hybrid plant could achieve a specific CO2e emission reduction of 77.87 kg CO2e per square meter of the required installation area. [ABSTRACT FROM AUTHOR]