Modeling a productive system incorporating elements of business sustainability

Abstract

This article builds and evaluates a business sustainability model for a manufacturing industry in which indicators of sustainable development are incorporated. The construction and analysis of the model is based on the system dynamics methodology. This methodology begins with the characterization of business sustainability and its indicators, models and applied methodologies are then reviewed, the production process of the analyzed company described, and the model is finally elaborated integrating the environmental, economic and social dimensions. The simulations of the model showed that the inventory of finished products accumulates over time and that the incorporation of energy saving technology is one that has a more effective impact on consumption, and the proportion of waste generated grows as the production order’s size increases. Finally, it is concluded that the designed model is useful for the evaluation of strategies and the definition of sustainability actions.

Implications of COVID-19 policies on the sustainable corporate practices of European firms

“…There seems to be no direct computational method for measuring the overall sustainability impact of a country or industry (Munda, 2005), however literature provides some insights on the individual sustainability components’ metrics. For instance, productivity growth represents a good proxy of economic development (DCED, 2021; Rodríguez, 2010), followed by sales (consumption) and Research and Development (R&D) (Bae and Smardon, 2011). Indeed, according to the Sustainable Development Goals (SDGs), consumption and production are even susceptible to following more sustainable models (UN, 2021a) if supported by policies for nurturing technological innovation and employment, especially in Small-Medium Enterprises (SMEs) – and the Gross Domestic Product (GDP) (UN, 2021b).…”

Cooperation‐Based Modeling of Sustainable Development: An Approach from Filippov’s Systems

“…On the applications of Filippov systems, the works have been mainly oriented to friction oscillators [31,[37][38][39][40][41], neural networks activated by discontinuous functions [42][43][44][45][46], memristor-based neural networks [47][48][49][50][51][52][53], neural networks with switching control using the Filippov system with delay [54][55][56][57], and electronic converters [58]. On issues related to Sustainable Development, the number of papers is much more limited, with approaches from the analysis of communities [59], from the analysis of companies [60] and others that touch on close issues such as energy systems [61][62][63][64], pest or disease control [65][66][67], HIV behavior [68,69], behavior longterm communities [70], or communications security [71]. It is also worth mentioning a novel approach to the study of systems using multiple switching regions that have been proposed in [72].…”