An improved method for assessing environmental impacts caused by chemical pollutants: A case study in textiles production

2020 ◽  
Vol 36 (4) ◽  
pp. 228-236
Author(s):  
Zejun Tian ◽  
Yiduo Yang ◽  
Laili Wang
Keyword(s):  
Human Health ◽  
Environmental Impacts ◽  
Textile Industry ◽  
Correlation Coefficients ◽  
Analysis Method ◽  
Improved Method ◽  
Chemical Pollutants ◽  
Toxicity Analysis ◽  
Ecological Hazards

The use of chemicals in the textile industry has been widely investigated. This study used an improved method with the USEtox model to assess the environmental impacts of chemical pollutants discharged by the textile industry. The environmental impacts attributed to the discharged chemical pollutants were ranked using a quantity analysis method and a toxicity analysis method. The rankings of the two methods were compared by calculating Spearman’s correlation coefficients and outliers. The results showed that the human health and ecological hazards potential were mainly caused by heavy metals. The rankings of the environmental impacts calculated with the quantity analysis method were different from those calculated with the toxicity analysis method. Cadmium, hexachlorobenzene and mercury caused severe human and ecological hazards with a small volume of emissions. Zinc and hexavalent chromium were highly toxic chemical pollutants, which could cause severe human health and ecological hazards potential. These five kinds of chemical pollutants should be preferentially controlled to mitigate the environmental impacts caused by chemical pollutants discharged from the textile industry.

scholarly journals Performance Assessment Based on Reliability of Weaving M251 Machine Using Reliability, Availability & Maintainability (RAM) and Cost of Unreliability (COUR) Methods (Case Study at PT Buana Intan Gemilang)

2017 ◽  
Vol 1 (01) ◽  
pp. 13
Author(s):  
Devi Julietta Nainggolan ◽  
Judi Alhilman ◽  
Nurdinintya Athari Supratman
Keyword(s):  
Textile Industry ◽  
Block Diagram ◽  
Working Hours ◽  
Repair Time ◽  
Analysis Method ◽  
Leading Indicator ◽  
Cour Method ◽  
Ram Analysis ◽  
Critical Subsystem

The textile industry is one of industries that has an important role in the national economy. PT Buana Intan Gemilang (BIG) is one of textile industry in Indonesia which uses Weaving machine to produce motif and sajadah fabrics. The purpose of this research is to analyze the reliability of Weaving M251 machine that has the most damage in 2014. To avoid losses due to machine damage, the reliability, availability and maintainability of the machine need to be improved by using Reliability, Availability & Maintainability (RAM) Analysis method. In addition, the total cost caused by RAM problems can be calculated by using Cost of Unreliability (COUR) method. Based on the evaluation using Reliability Block Diagram (RBD) modeling, it is found that the critical subsystem reliability = 44.36% for 144 working hours and the total repair time that the critical subsystem needs to perform in acceptable operational condition , at least in 1 to 70 hours. There are two different forms of availability that have been calculated, therefore inherent availability = 95,546% which is used as leading indicator, and operational availability = 85,572% which used as lagging indicator. as it is compared, lagging indicator does not meet the performance of leading indicator. The total of unreliability cost when the machine is in active repair time = 39,580,689.02 IDR and within downtime = 135,588,452.13 IDR.

scholarly journals Assessing the environmental profit and loss of the textile industry: A case study in China

2021 ◽  
Vol 72 (01) ◽  
pp. 55-61
Author(s):  
JIANG CHU ◽  
LIRONG SUN ◽  
FANGLI CHEN ◽  
XIANG JI ◽  
ZEJUN TIAN ◽  
...  
Keyword(s):  
Environmental Impacts ◽  
Textile Industry ◽  
Ammonia Nitrogen ◽  
Government Policies ◽  
Marginal Value ◽  
Maximum Value ◽  
The Social ◽  
Depth Analysis ◽  
China’S Economy

The textile industry contributes a lot to China’s economy in history and present. However, it also causes serious impacts on the environment. Environmental prices methodology was proposed to convert various environmental impacts into corresponding social marginal value and it can be applied for the evaluation of the environmental loads. This study applied environmental prices methodology to calculate the social marginal value of the caused environmental impacts in China’s textile industry during the period from 2001 to 2015. The results showed that the minimum value of caused environmental impacts was €9.556 billion and the maximum value was €16.599 billion. Among the three sub-industries of China’s textile industry, Manufacture of Textile had the highest value, followed by Manufacture of Chemical Fibers, and Manufacture of Textile, Wearing Apparel and Accessories. The value of greenhouse effect caused by CO2 emission was the largest. The value of ammonia nitrogen in wastewater was the largest and followed by the values of COD, As, cyanide, Hg, Pb and Cd. An in-depth analysis of the results indicated that the social marginal value of the textile industry closely related to the scale of the industry, the international market and government policies.

Blockchain in Supply Chain: Case Study of Lottemart Ciputat

2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Information Asymmetry ◽  
New Technology ◽  
Business Case ◽  
Analysis Method ◽  
Chain Management ◽  
Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

Modelling and Simulation of NO2 Dispersion Phenomenon in Atmosphere by Analytical-Experimental Methods

2008 ◽  
Vol 59 (10) ◽  
Author(s):  
Delia Perju ◽  
Harieta Pirlea ◽  
Gabriela-Alina Brusturean ◽  
Dana Silaghi-Perju ◽  
Sorin Marinescu
Keyword(s):  
Mathematical Model ◽  
Nitrogen Dioxide ◽  
Modeling And Simulation ◽  
Human Health ◽  
Experimental Methods ◽  
Negative Effects ◽  
Real Situation ◽  
Experimental Values ◽  
The Mathematical Model

The European laws and recently the Romanian ones impose more and more strict norms to the large nitrogen dioxide polluters. They are obligated to continuously improve the installations and products so that they limit and reduce the nitrogen dioxide pollution, because it has negative effects on the human health and environment. In this paper are presented these researches made within a case study for the Timi�oara municipality, regarding the modeling and simulation of the nitrogen dioxide dispersion phenomenon coming from various sources in atmosphere with the help of analytical-experimental methods. The mathematical model resulting from these researches is accurately enough to describe the real situation. This was confirmed by comparing the results obtained based on the model with real experimental values.

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