Anand Sunder* and Ibrahim Raji
DOI: 10.37421/2169-0316.2021.10.286
We propose a LP modeling approach for 7 types of lean waste, with effects of sub system improvements, including the effects of interdependence of type of waste effects on one another and objective function modeling for optimization and simulation of environmental waste is seen from [1,2]. Khalil [3] extensively explores a weighted measurement criterion between different types of wastes, this however isgood for a high level assessment of lean effectiveness. Tascione V [3], E.Solano [1]. However have bridged the gap by showing a wholistic modelling approach for minimizing waste at a case study level. We formulate our multi objective minimization LP Model as follows:
(Where
defined as the cost per unit waste type)
s.t,
OR
and
Interdependence effects of lean waste types on one another will require models to be built, we plan to evaluate and simulate the actual waste reduction achieved, against the optimum for given systems. A total of 7c2 or 21 interactions need to be evaluated.
Safieh Javadinejad*, Rebwar Dara and Forough Jafary
DOI: 10.37421/2169-0316.2021.10.288
The phenomenon of climate change in recent years has led to significant changes in climatic elements and as a result the status of surface and groundwater resources, especially in arid and semi-arid regions, this issue has sometimes caused a significant decline in groundwater resources. In this paper, the effects of climate change on the status of groundwater resources in Marvdasht plain have been investigated. Water supply of different parts of this region is highly dependent on groundwater resources and therefore the study of groundwater changes in future periods is important in the development of this plain and the management of its water resources. In order to evaluate the effects of climate change, the output of atmospheric circulation models (GCM) has been used.
Then, in order to adapt the output scale of these models to the scale required by local studies of climate change, precipitation and temperature data have been downscaled by LARS-WG model. Downscaled information was used to determine the amount of feed and drainage of the aquifer in future periods. To investigate changes in groundwater levels at different stages, a neural network dynamic model has been developed in MATLAB software environment. It is also possible to study and compare other points using other scenarios and mathematical modeling. The results of the study, assuming the current state of development in the region, indicate a downward trend in the volume of the aquifer due to climate change and its effects on resources and uses of the study area. The results also introduce Scenario A2 as the most critical scenario related to climate change, which also shows the largest aquifer decline in neural network modeling.
DOI: 10.37421/2169-0316.2021.10.287
Globally, buildings are responsible for approximately 40% of the total world annual energy consumption. Most of this energy is for the provision of lighting, heating, cooling, and air conditioning. Increasing awareness of the environmental impact of CO2, NOx and CFCs emissions triggered a renewed interest in environmentally friendly cooling, and heating technologies. Under the 1997 Montreal Protocol, governments agreed to phase out chemicals used as refrigerants that have the potential to destroy stratospheric ozone. It was therefore considered desirable to reduce energy consumption and decrease the rate of depletion of world energy reserves and pollution of the environment. This article discusses a comprehensive review of energy sources, environment and sustainable development. This includes all the renewable energy technologies, energy efficiency systems, energy conservation scenarios, energy savings and other mitigation measures necessary to reduce climate change.
There is strong scientific evidence that the average temperature of the earth’s surface is rising. This was a result of the increased concentration of carbon dioxide and other GHGs in the atmosphere as released by burning fossil fuels. This global warming will eventually lead to substantial changes in the world’s climate, which will, in turn, have a major impact on human life and the built environment. Therefore, effort has to be made to reduce fossil energy use and to promote green energies, particularly in the building sector. Energy use reductions can be achieved by minimizing the energy demand, by rational energy use, by recovering heat and the use of more green energies. Low energy design of urban environment and buildings in densely populated areas requires consideration of wide range of factors, including urban setting, transport planning, energy system design and architectural and engineering details. The focus of the world’s attention on environmental issues in recent years has stimulated response in many countries, which have led to a closer examination of energy conservation strategies for conventional fossil fuels. One way of reducing building energy consumption is to design buildings, which are more economical in their use of energy for heating, lighting, cooling, ventilation and hot water supply.
Tsegaye Amare*, Dr. Balkeshwar Singh, Dr.Guteta Kabata and Dr. Bhaskaran J
DOI: 10.37421/2169-0316.2021.10.285
This study is of serious concern to increase the productivity and efficiency of the Ethiopian pulp and paper manufacturing company. The goal of this work is therefore to discover the problems that lead to poor company production planning and control systems. Methods used to gather and interpret data by observations, interviews, questionnaires and reports are then defined using Pareto analysis and fish-bone diagram methods such as labor efficiency and machine usage, energy costs, turnover of workers, production planning and control structure, delivery date results, maintenance costs, low demand, and resource estimation, bottleneck, Poor production schedule, capacity estimate, downtime, capacity planning, master production schedule, demand forecasting, and overall production planning.
Research findings, therefore, indicate that Capacity Planning, Master Production Schedules, Demand Forecasting, and Aggregate Production Planning are some of the key issues leading to poor capacity planning. The study concludes that the model to improve the company's production monitoring and scheduling related problems has been established and increased productivity by 85 percent.
DOI: 10.37421/2169-0316.2021.10.e106
The convergence of nanotechnologies generates synergies among different technologies to say,nano technologies, neuro technologies, computers and biotechnologies, the setechnologies must converge in their regulations, the application of medical devicesin nanotechnologies should lead us to a link between the technical committee TC 210and ISO technical committee 229 link that does not exist in our work in this moment. In this do an analysis of the management of risk from an optical NC-ISO 14971.Studying the global trend in this respect as imported for manufacturers medical Devices worldwide.
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