Modeling and discrete event simulation in industrial systems considering consumption and electrical energy generation

Paulista, Cássio Rangel; Peixoto, Túlio Almeida; Rangel, João José de Assis

doi:10.1016/j.jclepro.2019.03.248

Cited by 14 publications

(4 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…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

View full text Add to dashboard Cite

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.

show abstract

Section: Software Description Use-casementioning

confidence: 99%

Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy

Khan

Abonyi

2022

Sustainability

View full text Add to dashboard Cite

show abstract

“…Simulation models generated using Flexsim software are used as a visualizing tool to understand and communicate the real-time issues and depict improvements difficult to be practicalized. The software has inherent competence to estimate the energy in the machine, process, and plant-level (Paulista et al, 2019). The simulation models developed comprises the SSC divided into phases (i.e., fishing, dock, de-heading unit-surimi, de-heading unit-RRM) to map the fragmented supply chain.…”

Section: Simulation-based Analysismentioning

confidence: 99%

A simulation-based performance investigation of downstream operations in the Indian Surimi Supply Chain using environmental value stream mapping

Sultan

Routroy

Thakur

2021

Journal of Cleaner Production

View full text Add to dashboard Cite

“…In addition to modeling the natural gas supply chain, the use of discrete-event simulations has also been reported in papers related to other supply chains, such as bioenergy or electrical energy. For example, a somewhat similar simulation model, which has been developed in this paper, was made by Paulista et al [14], but from the field of electrical energy. Using simulation software Ururau they analyzed the behavior of the consumption and generation of electrical energy in conjunction with other variables of the process.…”

Section: Introductionmentioning

confidence: 99%

Simulation model of natural gas supply chain in a function of costs optimization: the case of Croatia

Šebalj

2021

SN Appl. Sci.

View full text Add to dashboard Cite

The purpose of this study is to develop a natural gas simulation model for costs optimization. The main focus of the model is on the transmission system since its imbalance leads to the penalties which must be paid by the suppliers. The total nominated amount of natural gas (the gas injected into the transmission system) must be consumed (withdrawn from the system) in order for the system to be in balance. In practice, this is not the case since it is very hard to accurately predict the future hourly consumption (in order to make a nomination) and certain deviations appear which leads to the imbalance. However, this problem could be solved by introducing a special electromotor valve which would be placed at the beginning of the distribution system and control the accumulation of the system. To test this solution, a simulation model was created using Arena Simulation tool. Data for the simulation model are collected by the natural gas distributor and consist of natural gas consumption and nomination values for one measuring-reduction station on the hourly basis. Thus, the final dataset includes 8.754 records. The separate As-Is and To-Be models for seven (summer) months were made and the results were compared. The simulation experiment shows that the positive rebalancing energy would be reduced by 32%, and the negative one by 34%. The created model can serve as a good initial step for the analysis of the justification of investment in the implementation of a technical solution that would manage the accumulation of the distribution system.

show abstract

Modeling and discrete event simulation in industrial systems considering consumption and electrical energy generation

Cited by 14 publications

References 25 publications

Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy

Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy

A simulation-based performance investigation of downstream operations in the Indian Surimi Supply Chain using environmental value stream mapping

Simulation model of natural gas supply chain in a function of costs optimization: the case of Croatia

Contact Info

Product

Resources

About