APPLICATION OF BAYESIAN TECHNIQUE FOR PARAMETER ESTIMATION IN A FERMENTATIVE PROCESS

In the current world scenario, there has been noted an increase of researches on biofuel production, more specifically bioethanol, produced from biomass, in order to obtain more information to analyze, understand and optimize this fermentative process. The modelling process, which include the determination of a kinetic model and its respective parameters, is a fundamental step in defining operating strategies and understand how the experimental conditions can affect the optimal system operating conditions. The present work employs a bayesian technique to estimate the parameters of a classical kinectic model used by Silva and collaborators (2016), because, unlike the classical techniques, it is possible to take into account the uncertainty of the measurements and the prior knowledge of the parameters can be accounted for in probabilistic terms. In this context, by using simulated measurements, for the parameters estimation it is propose a sensitivity analysis of the parameters model to define the most relevant ones to be estimate and the use of the Monte Carlo Markov Chain method through the Metropolis-Hastings algorithm, evaluating the influence of four types of priori probability distribution of data set: uniform, gaussian, log-normal and Rayleigh. The obtained results showed that the sensibility analysis is an important step on parameter estimation and algorithm used was satisfactory in estimating the parameters of the kinectic model used, demonstrating the possibility of using it as a tool for time and cost reduction in experimental tests

The profile of studies on renewable energy in sustainable supply chain

Over the years, has been growing policies aiming toreducethe green-houses gases emissions–GHG, which lead for the searching ofsustainable alter-native solutions. One waymitigatesthe GHG emissionsisthe use of renewable energy sources. Nevertheless, for the use of such resources there are a series of processes inherent to the energy production and consumption, being the supply chain one of the principals. Based on this, the main objective of present article is tomapthe roleof renewable energies inside the context of sustainable supply chain, observing how the studies have been developed, looking for the main re-searchers, organizations andcollaboration networks, being at final a mapping of the 15 most cited studies in area. The research was carried out with the papers published atWeb of Science database, using VantagePoint software to quantify the information’s, including the evolution of studies over time until 2019.It was possible to perceivethat the researchhasbeen growingsince 2010, moreover, subjects related to biomass, biofuels and photovoltaic energy were the most re-currentat the most cited. However, within this framework, the theme presented itself as new and that there are still great potentials to be exploredThe authors would like to thank CNPqby the scholarship awarded, IFRJfor the availability of VantagePoint softwareand the project “Ciudades Inteligentes, total-mente integrales, eficiente y sostenibles (CITIES), n. de processo: 518RT0557”.info:eu-repo/semantics/publishedVersio

Eco-efficient supply chain networks: Development of a design framework and application to a real case study

© 2015 Taylor & Francis. This paper presents a supply chain network design framework that is based on multi-objective mathematical programming and that can identify 'eco-efficient' configuration alternatives that are both efficient and ecologically sound. This work is original in that it encompasses the environmental impact of both transportation and warehousing activities. We apply the proposed framework to a real-life case study (i.e. Lindt & Sprüngli) for the distribution of chocolate products. The results show that cost-driven network optimisation may lead to beneficial effects for the environment and that a minor increase in distribution costs can be offset by a major improvement in environmental performance. This paper contributes to the body of knowledge on eco-efficient supply chain design and closes the missing link between model-based methods and empirical applied research. It also generates insights into the growing debate on the trade-off between the economic and environmental performance of supply chains, supporting organisations in the eco-efficient configuration of their supply chains

Un modelo MILP multiperíodo para el diseño de una cadena de suministro de bioetanol considerando sustentabilidad

En este trabajo se propone un modelo matemático mixto entero lineal para el diseño óptimo de una cadena de suministro para producir azúcar y etanol. La formulación considera varios períodos de producción-inventario-distribución y restricciones ambientales. El impacto ambiental es incorporado en este modelo mediante los principios del Análisis de Ciclo de Vida, derivando en un problema de programación matemática multi-objetivo. Mediante la resolución sucesiva de modelos, donde se optimiza el objetivo económico y se manejan las restricciones ambientales mediante el método “ε-constraint”, se obtienen diferentes soluciones del tipo Pareto. Este enfoque permite evaluar diferentes escenarios de integración y sirve como guía en la toma de decisiones al momento de diseñar una cadena de suministro sustentable.Sociedad Argentina de Informática e Investigación Operativ

La cadena de suministro sostenible: conceptos, modelos de optimizaci´on y de simulaci´on y tendencias

Context: The environmental and social dimensions of performance are of great importance, given that they must be incorporated into strategic, tactical, and operational objectives in companies and supply chains to minimize negative impacts on the environment and society. Method: After reviewing the Scopus, Web of Science, and ScienceDirect databases for the topics of sustainability and supply chain management, a state of the art of green and sustainable supply chain management is presented, aiming to guide readers towards a synthesis of related concepts and future lines of research. Results: The reader is introduced to concepts and trends around the field of green and sustainable supply chain management to raise interest in new research and practices to guide the implementation of sustainability in organizations and their supply chains. Conclusions: Sustainable supply chain management still faces several academic and practical challenges in terms of implementation, performance measurement, and how models can capture a dynamic and uncertain social and environmental context. There are latent research issues such as management of the circular supply chain, applications in emerging economies, or the application of 4.0 technologies.Contexto: Las dimensiones ambiental y social del desempeño son de gran importancia, puesto que deben ser incorporadas a los objetivos estratégicos, tácticos y operativos de las empresas y cadenas de suministro para minimizar los impactos negativos sobre el medio ambiente y la sociedad. Método: Tras haber consultado los temas de sostenibilidad y gestión de la cadena de suministro en las bases de datos Scopus, Web of Science y ScienceDirect, se presenta el estado del arte en gestión de la cadena de suministro verde y sostenible, esperando guiar a los lectores hacia una síntesis de conceptos relacionados y futuras líneas de investigación. Resultados: Se introduce al lector a conceptos y tendencias en el campo de gestión de la cadena de suministro verde y sostenible para despertar el interés en nuevas investigaciones y prácticas para guiar la implementación de la sostenibilidad en organizaciones y sus cadenas de suministro. Conclusiones: La gestión sostenible de la cadena de suministro aún enfrenta varios retos académicos y prácticos, desafíos en términos de implementación, medición del desempeño y la manera en que los modelos pueden capturar un contexto social y ambiental dinámico e incierto. Hay cuestiones de investigación latentes como la gestión de la cadena de suministro circular, las aplicaciones en economías emergentes o la aplicación de tecnologías 4.0

Manufacturing facility location and sustainability: A literature review and research agenda.

(Jan Olhager), [email protected] (Ou Keywords: Corporate social responsibility (CSR), Environment, Facility location, Manufacturing, Sustainability 2 Introduction The facility location problem has been around for a long time. In general, it concerns the geographical positioning of facilities for a specific organizational entity, such as a company. As such, it is a strategic decision related to the configuration of the manufacturing network. As competition becomes global and the complexity of the environment in which companies operate is increasing, managing an integrated international network has become an increasingly important task for managers 1995) and Procter & Gamble ( The literature on facility location can be broadly classified into two areas: factor assessment and mathematical approaches. The factor assessment approach often has a focus on strategic issues in decision making and it can be generalized into four steps: (i) establish the critical success factors of the business, (ii) assess options for regional manufacturing configurations, (iii) define a number of potential sites, and (iv) rank the most suitable solutions (Reid and Sanders, 2010). Implicitly, economic performance has been the driver for selecting critical success factors. Also, the mathematical approaches are typically formulated as cost minimization and profit maximization problems; cf. e.g. Consequently, it is becoming increasingly necessary for manufacturing firms to include all aspects and dimensions of sustainability in their manufacturing facility location decisions. Even when a facility is selected locally, there is need to integrate sustainability factors to reach economic, social, and environmental benefits from local innovation and collaboration with local customers and suppliers The research literature on the combination of manufacturing facility location and sustainability is still at an early stage but growing. We first present an overview of the literature review methodology. We then present the search strategy and the classification scheme, based on a content analysis. Then, the results of the literature review are presented. Finally, we present a conceptual framework and a research agenda. Methodology The core idea with a literature review is to summarize the state of the art in the subject field, Below we discuss the key steps in conducting the literature review, in terms of (i) the search strategy, and the content analysis in terms of (ii) literature over time, (iii) literature across journals, and (iv) categorization with respect to topical areas as well as research methodologies; cf

Sustainability assessment of biomass-based energy supply chain using multi-objective optimization model

In recent years, population growth and lifestyle changes have led to an increase in energy consumption worldwide. Providing energy from fossil fuels has negative consequences, such as energy supply constraints and overall greenhouse gas emissions. As the world continues to evolve, reducing dependence on fossil fuels and finding alternative energy sources becomes increasingly urgent. Renewable energy sources are the best way for all countries to reduce reliance on fossil fuels while reducing pollution. Biomass as a renewable energy source is an alternative energy source that can meet energy needs and contribute to global warming and climate change reduction. Among the many renewable energy options, biomass energy has found a wide range of application areas due to its resource diversity and easy availability from various sources all year round. The supply assurance of such energy sources is based on a sustainable and effective supply chain. Simultaneous improvement of the biomass-based supply chain's economic, environmental and social performance is a key factor for optimum network design. This study has suggested a multi-objective goal programming (MOGP) model to optimize a multi-stage biomass-based sustainable renewable energy supply chain network design. The proposed MOGP model represents decisions regarding the optimal number, locations, size of processing facilities and warehouses, and amounts of biomass and final products transported between the locations. The proposed model has been applied to a real-world case study in Istanbul. In addition, sensitivity analysis has been conducted to analyze the effects of biomass availability, processing capacity, storage capacity, electricity generation capacity, and the weight of the goals on the solutions. To realize sensitivity analysis related to the importance of goals, for the first time in the literature, this study employed a spherical fuzzy set-based analytic hierarchy method to determine the weights of goals

Optimal design for sustainable bioethanol supply chain considering detailed plant performance model

The always increasing energy demand combined with the declining availability of fossil fuels is driving forces for the investigation of renewable energy sources. In this context, bioethanol is considered as one of the most appropriate solutions for short term gasoline substitution. Then, the motivation of this work is to propose a MINLP optimization model for a sustainable design and behavior analysis of sugar/ethanol supply chain (SC). A detailed model for ethanol plant design is embedded in the SC model, and therefore plant and SC designs are simultaneously obtained. Yeast production and residue recycles are taken into account in order to assess the environmental impact. The inclusion of sustainability issues in the model produces both economic and operative changes in SC and plant designs. The simultaneous optimization of these elements allows the evaluation of several compromises among design and process variables. These issues are highlighted throughout the evaluated studied cases.Fil: Corsano, Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Vecchietti, Aldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentin

Designing an optimised supply network for sustainable conversion of waste agricultural plastics into higher value products

Agricultural plastics are currently characterised by a predominantly linear take-make-dispose value chain, thus being a major stream of waste that contributes to significant environmental and economic issues. Therefore, policy makers have recently indicated the adoption of circular economy approaches as the way forward for plastics. This study addresses the problem of agricultural plastic waste as a major stream of landfilled waste by assessing the potential for recycling the plastic into higher value products through pyrolysis and by optimally designing the respective supply network to support this process. A Mixed Integer Linear Programming (MILP) model is developed to optimise the end-to-end supply network design, from the waste generation stage up to the end consumer of the produced material. The model is supported by experimental results on the pyrolysis performance for contaminated plastic samples. The model is applied in a case study of the Scottish agricultural sector to showcase its potential in assessing the feasibility and financial viability in addition to the positive environmental impact on agricultural plastic waste supply networks. The results demonstrate the potential of using the pyrolysis technology for agricultural plastic waste recycling as an example of a circular economy approach and the benefits of using the developed model for decision making purposes, as well as the potential for waste reduction and the implications for farmers’ operations