scholarly journals Simulation Modeling Approach for Collaborative Workplaces’ Assessment in Sustainable Manufacturing

2020 ◽  
Vol 12 (10) ◽  
pp. 4103 ◽  
Author(s):  
Robert Ojstersek ◽  
Borut Buchmeister
Keyword(s):  
Energy Consumption ◽  
Simulation Modeling ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Block Diagram ◽  
Operation Mode ◽  
Sustainable Manufacturing ◽  
Electrical Energy ◽  
Modeling Approach ◽  
The Impact

The presented manuscript represents a new simulation modeling approach, which evaluates the impact of collaborative workplaces on manufacturing sustainability in terms of workplaces’ cost, flow times and electrical energy consumption. The impact of collaborative workplaces on the manufacturing system and on its sustainable viability as a whole has not yet been explored, despite the fact that collaborative workplaces are increasingly present in different manufacturing systems. In the past, researchers have devoted a lot of time to research individually examining the collaborative machines, workplaces and various aspects of Sustainable Manufacturing. Investigating the impact of collaborative workplaces on an enterprise’s financial, social and environmental points of view is a very complex task, since we are talking about a multicriteria evaluation of manufacturing systems. The simulation approach is based on a newly proposed block diagram structure that allows for an evaluation of the impact of collaborative workplaces on Sustainable Manufacturing in its entirety. Using the input data of the real-world manufacturing system characteristics and Eurostat statistical values, numerical and graphical results of the proposed simulation evaluation are given, which, with a high degree of evaluation credibility, influences the introduction of collaborative workplaces in manual workplaces. The results obtained show a 20% reduction in the cost of collaborative workstations compared to manual assembly workstations, a 13.2% reduction in order throughput times, a negligible increase in energy consumption in operation mode of 3.28% and a 4.57% reduction in the idle mode. The new evaluation approach allows for a comprehensive consideration of the influence of the collective workplace when developing new or modernizing existing manufacturing systems from a financial, social and environmental point of view.

scholarly journals The Analysis of Electrical Energy Consumption of the Impact Screwdriver During Assembly of Fixed Threaded Joints

2017 ◽  
Vol 54 (3) ◽  
pp. 50-57 ◽  
Author(s):  
I. Grinevich ◽  
Vl. Nikishin ◽  
N. Mozga ◽  
M. Laitans
Keyword(s):  
Energy Consumption ◽  
Operating Time ◽  
Electrical Energy ◽  
Operating Mode ◽  
Electrical Energy Consumption ◽  
Impact Mechanism ◽  
Threaded Joints ◽  
Rotor Head ◽  
Product Costs ◽  
The Impact

Abstract The paper deals with the possibilities of reducing the consumption of electrical energy of the impact screwdriver during the assembly of fixed threaded joints. The recommendations related to a decrease in electrical energy consumption would allow reducing product costs but so far there have been no such recommendations from the producers of the tool as to the effective operating regimes of the impact screwdrivers in relation to electrical energy consumption and necessary tightening moment of the nut. The aim of the study is to find out the economical operating mode of the electrical impact screwdriver when assembling fixed threaded joints. By varying the set speed of the rotor head and working time of the impact mechanism, there is an opportunity to determine electrical energy consumption of the tool for the given tightening moment. The results of the experiment show that at the same tightening moment obtained the electrical energy consumption of the impact screwdriver is less at a higher starting set speed of the rotor head but shorter operating time of the impact mechanism than at a lower speed of the rotor head and longer operating time of the impact mechanism.

scholarly journals A Comparison between Dedicated and Flexible Manufacturing Systems: Optimization and Sensitivity Analysis

2021 ◽  
Vol 40 (1) ◽  
pp. 130-139
Author(s):  
Abdul Salam Khan ◽  
Khawer Naeem ◽  
Raza Ullah Khan
Keyword(s):  
Sensitivity Analysis ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Cost Minimization ◽  
Process Time ◽  
Future Research ◽  
Second Phase ◽  
Solution Approach ◽  
The Impact

An abrupt change requires a robust and flexible response from a manufacturing system. Dedicated Manufacturing System (DMS) has been a long practiced taxonomy for mass production and minimum varieties. In contrast, Flexible Manufacturing System (FMS) has been introduced for responding to quantity as well as variety issues. This study considers both production taxonomics by using a multi objective model of cost and time. An Integer Linear Programming (ILP) formulation is presented and subsequently validated. The analysis procedure is administered in two phases. In the first phase, comparison of production cost and process time in DMS and FMS is presented. The model is implemented by using an exact solution approach and results show that FMS is a viable option, compared to DMS, according to the criteria of cost, time, and productivity. In the second phase, sensitivity analysis is performed by using several FMS (n) and the impact of cells selection on the performance of system is studied. It is concluded that n=1 (single cell-based FMS) is more relevant for cost minimization; however, n = 6 is a suitable candidate for producing more quantity in given time horizon (process time minimization). Lastly, key findings are reported, and future research avenues are provided.

scholarly journals Intelligent Energy Management Strategy for Automated Office Buildings

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4326 ◽  
Author(s):  
Simplice Igor Noubissie Tientcheu ◽  
Shyama P. Chowdhury ◽  
Thomas O. Olwal
Keyword(s):  
Energy Consumption ◽  
Intelligent System ◽  
Weather Condition ◽  
Electrical Energy ◽  
Integrated System ◽  
Office Buildings ◽  
Photovoltaic System ◽  
Energy Management Strategy ◽  
Significant Saving ◽  
The Impact

The increasing demand to reduce the high consumption of end-use energy in office buildings framed the objective of this work, which was to design an intelligent system management that could be utilized to minimize office buildings’ energy consumption from the national electricity grid. Heating, Ventilation and Air Conditioning (HVAC) and lighting are the two main consumers of electricity in office buildings. Advanced automation and control systems for buildings and their components have been developed by researchers to achieve low energy consumption in office buildings without considering integrating the load consumed and the Photovoltaic system (PV) input to the controller. This study investigated the use of PV to power the HVAC and lighting equipped with a suitable control strategy to improve energy saving within a building, especially in office buildings where there are reports of high misuse of electricity. The intelligent system was modelled using occupant activities, weather condition changes, load consumed and PV energy changes, as input to the control system of lighting and HVAC. The model was verified and tested using specialized simulation tools (Simulink®) and was subsequently used to investigate the impact of an integrated system on energy consumption, based on three scenarios. In addition, the direct impact on reduced energy cost was also analysed. The first scenario was tested in simulation of four offices building in a civil building in South Africa of a single occupant’s activities, weather conditions, temperature and the simulation resulted in savings of HVAC energy and lighting energy of 13% and 29%, respectively. In the second scenario, the four offices were tested in simulation due to the loads’ management plus temperature and occupancy and it resulted in a saving of 20% of HVAC energy and 29% of lighting electrical energy. The third scenario, which tested integrating PV energy (thus, the approach utilized) with the above-mentioned scenarios, resulted in, respectively, 64% and 73% of HVAC energy and lighting electrical energy saved. This saving was greater than that of the first two scenarios. The results of the system developed demonstrated that the loads’ control and the PV integration combined with the occupancy, weather and temperature control, could lead to a significant saving of energy within office buildings.

Energy Consumption Reduction for Sustainable Manufacturing Systems Considering Machines With Multiple-Power States

2011 ◽  
Author(s):  
Zeyi Sun ◽  
Stephan Biller ◽  
Fangming Gu ◽  
Lin Li
Keyword(s):  
Energy Efficiency ◽  
Manufacturing Systems ◽  
Large Scale ◽  
Manufacturing System ◽  
Production Systems ◽  
Sustainable Manufacturing ◽  
System Level ◽  
Model Estimate ◽  
Improve Energy Efficiency ◽  
Multiple Power

Due to rapid consumption of world’s fossil fuel resources and impracticality of large-scale application and production of renewable energy, the significance of energy efficiency improvement of current available energy modes has been widely realized by both industry and academia. A great deal of research has been implemented to identify, model, estimate, and optimize energy efficiency of single-machine manufacturing system [1–5], but very little work has been done towards achieving the optimal energy efficiency for a typical manufacturing system with multiple machines. In this paper, we analyze the opportunity of energy saving on the system level and propose a new approach to improve energy efficiency for sustainable production systems considering the fact that more and more modern machines have multiple power states. Numerical case based on simulation model of an automotive assembly line is used to illustrate the effectiveness of the proposed approach.

scholarly journals Modeling and analysis: power injection model approach for high performance of electrical distribution networks

2021 ◽  
Vol 10 (6) ◽  
pp. 2943-2952
Author(s):  
Baraa Jalil Abdulelah ◽  
Yousif Ismail Mohammed Al-Mashhadany ◽  
Sameer Algburi ◽  
Gozde Ulutagay
Keyword(s):  
High Performance ◽  
Fuzzy Inference ◽  
Block Diagram ◽  
Electrical Energy ◽  
Distribution Networks ◽  
Effect Of Temperature ◽  
Inference System ◽  
Modeling And Analysis ◽  
Point Tracking ◽  
The Impact

The generation of electrical energy varies depending on the needs of the user, initial requirements, capacity, intended use, waste generation, and economic efficiency. In order to meet the challenges of the proposed overvoltage of the presented system, it is possible to use the solar collectors and profit from them economically through smart grid smart control systems. The mathematical model with four main parts was created: simulation, correlation, and evaluation according to the solar program set of photovoltaic solar modules, maximum power point tracking (MPPT), an adaptive neuro-fuzzy inference system (ANFIS) controller, and 600-volt electric network. Then in this phase, the investigation of the effects on the network on the basis of the output power with the coincidence of radiation and the effect of temperature in the network is carried out. An analysis was carried out to evaluate the impact of these fundamental limitations in practical application. In this section, the simulation of the proposed system is discussed. The block diagram of the developed system is presented in the last part. The proposed system was assessed from the Matlab simulation tapes and graphs for each part of the system, and the results of the overall system simulation were taken into account.

scholarly journals Energy Evaluation of the Mechanical Drying of the Grain of Coffea arabica from Honduras

2021 ◽  
pp. 8-14
Author(s):  
Fredy Torres Mejía ◽  
Jhunior Marcía Fuentes ◽  
Juan Torres Mejía ◽  
Flavio Hernández Bonilla ◽  
Ricardo Santos Alemán ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Coffea Arabica ◽  
Research Work ◽  
Electrical Energy ◽  
Biomass Energy ◽  
Energy Evaluation ◽  
Rotary Dryer ◽  
Reduction Of Co2 ◽  
The Impact

The aim of this research work was to evaluate the methods of mechanical drying of coffee beans (Coffea arabica) from energy evaluations. The control variables were the drying of the grain and energy was used as the response variable, measured in Tonnes of Oil Equivalent (TEP), Barrels of Oil Equivalent (BEP), and Tonnes of Carbon Dioxide Equivalent (Ton CO2eq). The evaluations on the three methods of mechanical coffee drying indicate that the rotary dryer requires 1.0 TEP equivalent to 1.017 kg CO2eqkg-1 in dry parchment coffee (CPS), however, the vertical drying method requires 1.12 TEP (0.616 kg CO2eqkg-1 in CPS) and the static dryer requires 0.5 TEP (0.33 Kg CO2eqkg-1 in CPS). Furthermore, the biomass energy consumption in the rotary dryer is 12.60 MJkg-1, in the vertical dryer it is 7.46 MJkg-1, and the static dryer is 3.91 MJkg-1. These results indicate that the rotary dryer uses 91.95% of the biomass energy, the vertical dryer uses 90.31%, and the static dryer 90.68%. Concluding that rotary drying has a higher biomass energy consumption and reduces CO2 emissions kg-1 in dry parchment coffee, this method is also preferred by cuppers, as it preserves the sensory qualities of the coffee and contributes to reducing the impact. the environment in the consumption of electrical energy and the reduction of CO2 emissions. However, these predictors need more work to validate reliability.

Analysis of Flow Control in Alternative Manufacturing Configurations

1980 ◽  
Vol 102 (3) ◽  
pp. 141-147 ◽  
Author(s):  
J. J. Solberg ◽  
S. Y. Nof
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Job Shop ◽  
Queueing Network ◽  
Process Time ◽  
Process Selection ◽  
Transport Time ◽  
Computerized Manufacturing ◽  
Product Layout ◽  
The Impact

A mathematical model of workflow, based on queueing network theory, is used to compare the performance of four alternative layout configurations for manufacturing systems: a product layout (or flowshop), a process layout (or job shop), and two layouts which have been used in computerized manufacturing system. It is shown that, under appropriate conditions, any one of the four layouts could be the preferred choice. The impact of part mix, process selection, and the ratio of mean process time to mean transport time on the layout design are revealed and quantified.

scholarly journals Technical, economic, and environmental performance assessment of manufacturing systems: The Multi-layer Enterprise Input-Output formalisation method

2021 ◽  
Author(s):  
Claudio Castiglione ◽  
Erica Pastore ◽  
Arianna Alfieri
Keyword(s):  
Environmental Performance ◽  
Lean Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Sustainable Manufacturing ◽  
Flow Analysis ◽  
Material Flow Analysis ◽  
Value Added ◽  
Economic Assessment ◽  
Input Output

In production planning and control, assessing the performance of a manufacturing system is a multi-dimensional problem, in which neglected dimensions may lead to hidden inefficiencies and missed opportunities for gaining a competitive advantage. This paper proposes a data formalisation method to model a manufacturing system by simultaneously considering value creation and technical, economic, and environmental performance. The proposed method combines the techno-economic assessment of lean manufacturing and sustainable manufacturing with the data-driven approach, typical of Industry 4.0, to overcome the limitations of the lean approaches in addressing complex systems. The method is based on integrating Multi-layer Stream Mapping and a combination of Enterprise Input-Output and Material Flow Analysis. It also considers non-value-added activities such as transport and inventories. Pen and papers and digital approaches can simultaneously exploit the method as a shared architecture for formal data integration. The implementation of the method is shown through a numerical example based on a recycled plastic pipeline manufacturing system.

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