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EN
Productivity modeling and validation is the assessment of data to establish scientific indications that a process is stable. The aim of this paper is to present a novel approach using statistical analyses for process improvement. This study highlights the process behavior of three different lathe machines unit with the intention to replace one of them. The research methodology has illustrated by producing a steel rod of 3.175 millimeter diameter based on 180 samples collected from each machine. For statistical data value analysis, MS Excel 2016 and Minitab 18 were utilized. The results showed that lathe machine 1 and 2 had an equivalent inconsistency, but significantly different data spreads. Similarly, the throughput for machine 2 was higher with greater variability as compared to machine 1 while machine 3 encountered a low rate of throughput. On the basis of the fallouts of the analysis, the research team has officially suggested to substitute lathe machine 3.
EN
In the existent world of continuous production systems, strong attention has been waged to anonymous risk that probably generates significant apprehension. The forecast for net present value is extremely important for any production plant. The objective of this paper is to implement Monte Carlo simulation technique for perceiving the impact of risk and uncertainty in prediction and forecasting company’s profitability. The production unit under study is interested to make the initial investment by installing an additional spray dryer plant. The expressive values acquied from the Monte Carlo technique established a range of certain results. The expected net present value of the cash flow is $14,605, hence the frequency chart outcomes confirmed that there is the highest level of certainty that the company will achieve its target. To forecast the net present value for the next period, the results confirmed that there are 50.73% chances of achieving the outcomes. Considering the minimum and maximum values at 80% certainty level, it was observed that 80% chances exist that expected outcomes will be between $5,830 and $22,587. The model’s sensitivity results validated that cash inflows had a greater sensitivity level of 21.1% and the cash inflows for the next year as 19.7%. Cumulative frequency distribution confirmed that the probability to achieve a maximum value of $23,520 is 90 % and for the value of $6,244 it is about 10 %. These validations suggested that controlling the expenditures, the company’s outflows can also be controlled definitely.
EN
The objective of this study is to control the air quality parameters for a selected range of different particulate matters. A comprehensive experimental approach is established to regulate the quality of air about a selected range of different air pollutants being investigated in the indoor atmosphere of the church building. Relative humidity, temperature, carbon dioxide, particulate matter and radon were considered as the factors of air quality extents. For establishing the association among the selected parameters, the data were mathematically analyzed. The correlation coefficient confirmed a strong relationship between the indoor CO2 level and the number of public. A negative relationship between the indoor CO2 extent and indoor temperature confirmed that due to the increase in temperature the concentration of CO2 decreased as well. A solid adverse connection among indoor relative humidity and indoor air temperature showed that due to the increase in air temperature, the level of the relative humidity decreased. Some recommendations were proposed for the treatment of air quality in church buildings for human well-being.
EN
Sustainability-related risk and vulnerability management have attained significant attention from academia and industry. Manufacturing industries in developing countries such as Pakistan are under severe economic pressure and striving to boost sustainable supply chain practices for achieving business excellence. In this context, the objectives of the present research are to examine the critical supply chain risks associated with sustainable development goals, namely social, economic, and environmental factors. The failure mode and effect analysis (FMEA) technique is employed for categorizing the risk factors and Pareto analysis for highlighting the more crucial and risky factors. For this purpose, a large-scale survey was carried out in the textile industries of Pakistan to develop a risk mitigation model for sustainability-related risks and vulnerability in a textile supply chain (TSC). It captures the input expressions of experts for risk factors, namely severity (s), occurrence (o), and detection (d) for calculating the risk priority numbers (RPNs) of identified alternatives. The results depict that endogenous environmental risks categorize as the most significant for the textile manufacturing industries, and the interfaces between the various risks associated with sustainability-related are also found very high. This study would be a toolkit for the industrial managers and policy-makers for creating sustainable manufacturing culture on organizational premises.
EN
This study was conducted to determine the impact of market orientation on the consumer-based performance of fashion apparel brands. The study also reveals the moderating effect of employee orientation on market orientation and consumer-based performance. The sample of 270 respondents of this study consists of managerial staff who have decisive power with regard to apparel brands in Pakistan. The findings of this study express that all three dimensions of market orientation have a significant and positive impact on the consumer-based performance of fashion apparel brands. Furthermore, the study finds no moderation between customer orientation and consumer-based performance, while for the remaining two dimensions, there is a positive moderation. The management of fashion apparel firms must give considerable importance to market orientation to enhance overall consumer-based performance. This study contributes valuable literature because it focuses on the fashion apparel industry, which is most important for very nearly everyone in the present era.
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