Sustainability factors in dynamical systems modeling: Simulating the non-linear aspects of multiple equilibria

Dorsey, Joseph W.; Hardy, Leon

doi:10.1016/j.ecolmodel.2017.11.008

Cited by 8 publications

(2 citation statements)

References 10 publications

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“…A general definition of sustainability can be obtained by inductive inference, synthesizing the scientific contribution of other scholars. In this sense, it is possible to consider sustainability as an intrinsic property of a system [58,59], that is the ability of a complex organization structured in processes to perpetuate itself over time while maintaining its structure and functions unchanged by integrating its economic, social, and environmental dimensions [60,61]. In manufacturing, sustainability [62] is a set of operational best practices [63], enabled by digitization [64], aimed at reaching and maintaining the point of equilibrium [65] where all production factors [66] are consumed at least as intensively as they can be regenerated [67].…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Technological Sustainability or Sustainable Technology? A Multidimensional Vision of Sustainability in Manufacturing

et al. 2021

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The topic of sustainability is becoming one of the strongest drivers of change in the marketplace by transforming into an element of competitiveness and an integral part of business strategy. Particularly in the manufacturing sector, a key role is played by technological innovations that allow companies to minimize the impact of their business on the environment and contribute to enhancing the value of the societies in which they operate. Technological process can be a lever to generate sustainable behaviors, confirming how innovation and sustainability constitute an increasingly close pair. However, it emerges that the nature of this relationship is explored by researchers and considered by practitioners almost exclusively in terms of the degree of sustainability of technological solutions. Lacking is an in-depth exploration of how a product or process, in addition to being environmentally and socio-economically sustainable, must or can also be technologically sustainable. This research therefore aims to build a theoretical foundation for technological sustainability seen as a possible fourth dimension of sustainable development.

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Section: Theoretical Frameworkmentioning

confidence: 99%

Technological Sustainability or Sustainable Technology? A Multidimensional Vision of Sustainability in Manufacturing

et al. 2021

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“…Regression models have wide applications in the fields of ecology, hydrology and agriculture as well as in soil and plant sciences, where parallel to the accumulation of sufficient level of soil and plant data, such models have been used appropriately. Making and using regression models in soil and plant ecosystem are expressed more easily and practical than theoretical model wth partial differential equations (Bayraklı et al, 1999;Overman and Scholtz, 2002;Gülser, 2004;Huang et al, 2014;Dorsey and Hardy, 2018;Thiéry et al, 2018;Kars and Ekberli, 2019b). Using both experimental (regression) and theoretical models may accept several assumptions and similar contribution of the used parameters (Bouma and van Lanen, 1987;Pachepsky and Rawls, 2004).…”

Section: Introductionmentioning

confidence: 99%

The relation between yield indices of maize plant and soil physicochemical characteristics

Kars¹,

Ekberli²

2020

Eurasian Journal of Soil Science (Ejss)

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The aim of this study was to set regression models based on correlation between yield parameters of maize plant (height, thousand seed weight and yield) and physical and chemical characteristics of soils and to determine applicability of obtained models in estimation of plant yield grown in soils of Çarşamba Plain. Regression coefficient (R), root mean square error (RMSE), index of agreement , model efficiency (ME) were evaluated to determine the validity of regression models between the yield components and physical and chemical characteristics of 40 soil samples taken from root zone of cultivated farms. Model associated with the relation between (i) plant height and bulk density (BD), field capacity (FC), clay and sand content wasn't statistical significant (R= 0.53, p>0.05); (ii) thousand seed weight and soil electrical conductivity (EC), organic matter (OM), lime (CaCO3), nitrogen (N), phosphorus (P), potassium (K), Ca + Mg was characterized with a moderate R (R=0.79, p < 0.05), and (iii) seed yield and OM, N, P, K, copper (Cu), cation exchange capacity (CEC), CaCO3 indices has the highest R (R = 0.87; p <0.01). In general, statistical parameters were within the validity limits. The established regression models can be applied for the predicting of yield parameters of maize plant grown in the farmed areas of the region.

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Sustainability efficiency evaluation of seaports in China: an uncertain data envelopment analysis approach

Jiang

Lio

et al. 2018

Soft Comput

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Sustainability factors in dynamical systems modeling: Simulating the non-linear aspects of multiple equilibria

Cited by 8 publications

References 10 publications

Technological Sustainability or Sustainable Technology? A Multidimensional Vision of Sustainability in Manufacturing

Technological Sustainability or Sustainable Technology? A Multidimensional Vision of Sustainability in Manufacturing

The relation between yield indices of maize plant and soil physicochemical characteristics

Sustainability efficiency evaluation of seaports in China: an uncertain data envelopment analysis approach

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