Simulation Optimization for Analysis of Sustainable Logistics Systems

Silva, Fábio Freitas da; Rangel, João José de Assis; Peixoto, Túlio Almeida; Matias, Ítalo de Oliveira; Tavares, Eder Reis

doi:10.1590/0101-7438.2017.037.01.0145

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…of all the components involved in its operation [32]. For example, a simulation would allow: a) finding the optimal route for a worker to follow in the order preparation process [33], b) reduce delivery time and total CO2 emissions from trucks [34][35], c) provide solutions to intermodal transport that minimize costs and reduce the negative impact of transport activities, such as costs, time and environmental [36][37], d) to support Intelligent Transport Systems (ITS) applications in public transport by combining optimization models with data from ITS [38] and, e) identify the distribution routes of electric vehicles (EV) considering the distribution centers and charging facilities [39].…”

Section: A Computational Simulationmentioning

confidence: 99%

Simulación computacional y algoritmo voraz para calcular la ruta de mínimo costo

Lasso Cardona

2023

Sci. tech

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La logística de transporte tiene como objetivo la entrega de productos en el momento y lugar correcto al menor costo posible. Dentro de esta actividad se encuentran los problemas de optimización del enrutamiento de vehículos de carga que deben recorrer una ruta de mínimo costo para la entrega de mercancías. El impacto que tiene el uso de tecnologías de la información en el contexto de cadena de suministro se puede medir básicamente en la integración y en los beneficios que aporta. La presente investigación tiene por objetivo utilizar la simulación computacional para evaluar restricciones de un sistema de mensajería y arrojar la ruta de menor distancia encontrada para tres líneas de entrega de paquetes, optimizando el tiempo y asignación de paquetes para cada línea. El proyecto se desarrolló bajo una metodología empírica y exploratoria, donde siguieron cuatro fases. Se diseñó un algoritmo que utilizo un enfoque voraz y estocástico, con una función objetivo que se evaluó en cada una de las n-simulaciones, para encontrar la ruta de menor distancia en las tres líneas de entrega. Para comprobar la efectividad del algoritmo se llevaron a cabo dos escenarios de prueba. En los dos escenarios, se logró evidenciar que, a mayor número de simulaciones, la distancia encontrada era menor, lo cual era el objetivo de la investigación.

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Section: A Computational Simulationmentioning

confidence: 99%

Simulación computacional y algoritmo voraz para calcular la ruta de mínimo costo

Lasso Cardona

2023

Sci. tech

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“…This strategy enables to balance between healthcare services (Morgenstern et al, 2016). Based on the countries' social responsibility toward protecting the environment, the UNFCCC was issued in 1994 to reduce greenhouse gas emissions (Silva et al, 2017).…”

Section: Healthcare Waste Managementmentioning

confidence: 99%

Recovery of a Green Hospital Systems Based on Iso 14001: 2015 Standards

Mkalaf,

Alshaheen,

Al-Hadeethi

et al. 2023

Pesqui. Oper.

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This study targets six North Asia and African hospitals that provide clinical treatment, diagnostic, and consultation services. The study revealed a lack in the selected hospitals' infrastructure to support implementation successfully Environmental Management Systems (EMS). A factor analysis was performed based on five factors; EMS efficiency, the hospital's culture, support from top management, legislation, and time and budget controls. Out of 23 sub-factors tested, it has been found that 7 of them can control the differentiation of the factors. The results highlight human errors in chemical and medical materials that lead to environmental pollution. It was followed by a sub-factor that indicated that controls of hospital activities and correction of its performance depend on the feedback received from the environmental information system. The study's main conclusion is that recovering green hospital systems depends on successfully carrying out the ISO 14001: 2015 standard.

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“…The software provides java classes for stochastic distributions, static components, scheduling, and reporting Performance analysis of assembly lines [214], cost analytics [215], production design [216], worker performance [217], optimal stock levels [218] URURAU Multi-platform program that enables users to create models using a graphical interface or directly in source code. Used as a learning tool as well as a tool for modeling and simulation of discrete systems Energy modelling in manufacturing [219], green logistics [220], carbon monoxide emission [221], logistics emissions [191] Ptolemy II Used in concurrent, real-time, embedded systems. Characterized by use of well-defined computation models that regulate the interaction between components.…”

Section: Software Description Use-casementioning

confidence: 99%

Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy

Khan

Abonyi

2022

Sustainability

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At the current worrisome rate of global consumption, the linear economy model of producing goods, using them, and then disposing of them with no thought of the environmental, social, or economic consequences, is unsustainable and points to a deeply flawed manufacturing framework. Circular economy (CE) is presented as an alternative framework to address the management of emissions, scarcity of resources, and economic sustainability such that the resources are kept ‘in the loop’. In the context of manufacturing supply chains (SCs), the 6R’s of rethink, refuse, reduce, reuse, repair, and recycle have been proposed in line with the achievement of targeted net-zero emissions. In order to bring that about, the required changes in the framework for assessing the state of manufacturing SCs with regard to sustainability are indispensable. Verifiable and empirical model-based approaches such as modeling and simulation (M&S) techniques find pronounced use in realizing the ideal of CE. The simulation models find extensive use across various aspects of SCs, including analysis of the impacts, and support for optimal re-design and operation. Using the PRISMA framework to sift through published research, as gathered from SCOPUS, this review is based on 202 research papers spanning from 2015 to the present. This review provides an overview of the simulation tools being put to use in the context of sustainability in the manufacturing SCs, such that various aspects and contours of the collected research articles spanning from 2015 to the present, are highlighted. This article focuses on the three major simulation techniques in the literature, namely, Discrete Event Simulation (DES), Agent-Based Simulation (ABS), and System Dynamics (SD). With regards to their application in manufacturing SCs, each modeling technique has its pros and its cons which are evinced in case of data requirement, model magnification, model resolution, and environment interaction, among others. These limitations are remedied through use of hybrids wherein two or more than two modeling techniques are applied for the desired results. The article also indicates various open-source software solutions that are being employed in research and the industry. This article, in essence, has three objectives. First to present to the prospective researchers, the current state of research, the concerns that have been presented in the field of sustainability modeling, and how they have been resolved. Secondly, it serves as a comprehensive bibliography of peer-reviewed research published from 2015–2022 and, finally, indicating the limitations of the techniques with regards to sustainability assessment. The article also indicates the necessity of a new M&S framework and its prerequisites.

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Simulation Optimization for Analysis of Sustainable Logistics Systems

Cited by 8 publications

References 15 publications

Simulación computacional y algoritmo voraz para calcular la ruta de mínimo costo

Simulación computacional y algoritmo voraz para calcular la ruta de mínimo costo

Recovery of a Green Hospital Systems Based on Iso 14001: 2015 Standards

Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy

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