Content Vol. 5 N 1, 2019
 

Pages 001 - 012



Spatial variability in biomarker responses in mussel populations inhabiting the Moroccan coastal areas (2010-2012); Laila El Jourmi, Abdessamad Amine,Nadia Boutaleb, Bouchaib Bahlaouan, Nezha Abouakil, Said Lazar, Said El Antri; Inter. J. Acad. Stud.; 5(1):(2019)001-012

Abstract:
This study intends to follow, from April 2010 to July 2012, the spatial variability of five parameters considered as potential biomarkers of pollution (CAT, GST, AChE, MDA & MT) in Pernaperna mussel populations inhabiting the Moroccan coast, with aim of evaluating the anthropic stress generated by the grand Casablanca. The one-way ANOVA results generally indicated that biochemical parameters showed statistically significant differences (Scheffe test, p<0.05) at the sites undergoing environmental pressure (S1 & S2) when compared to the control ones (S3 & S4). In fact, it was recorded the higher level (Scheffe test, p<0.05) ofCAT, GST & MDA (in April 2010 & July 2010) in S1samples than in reference one (S3).The levels of CAT (in April 2011, July 2011, Dec. 2011, March 2012 & July 2012), GST (in April 2011 & July 2011)& MT (in April 2010) were significantly higher (Scheffe test, p<0.05) in mussels issuing from S1 in comparison to S3 & S4.Our results also indicate that CAT (in April 2011, Dec. 2011 & March 2012) GST (in April 2011, Dec. 2011 & March 2012) & MT (in April 2010 & July 2010) of mussels living in S2 was markedly increased (Scheffe test, p<0.05) than in S3 & S4.Analyses of MDA (in April 2011, July 2011, December 2011, March 2012 & July 2012) & MT (in April 2011, July 2011, March & July 2012) contents revealed significant higher values (Scheffe test, p<0.05) in mussels from S1 & S2 by comparison to S3 & S4 samples.By contrast, AChE was markedly inhibited (Scheffe test, p<0.05) in mussels from S1 & S2 compared with those collected fromS3 (in Dec. 2011, March 2012 & July 2012) & S4 (in April 2010, July 2010, Dec. 2011 & July 2012). Domestic & industrial liquid wastes are obviously the cause of contamination of the aquatic compartments of these two areas (S1 & S2). This also leading to the conclusion that multi-marker approach allows to distinguish polluted sites (S1 & S2) from the control ones (S3 & S4) on the basis of their responses. These tools can therefore be integrated in the marine water monitoring strategy of grand Casablanca which can offer a good complement for the chemical analysis methods, & may provide more comprehensive & straightforward information about water pollution risk.

Key words:
Biomarkers, Pernaperna mussels, Spatial variability, Moroccan coastal pollution.


Non-quality costs evaluation in an integrated management system (quality, safety at work and environment) – Case of corrugated cardboard company; Abdel-ilah Aziane, Mohamed El yachioui, Yassine El Ammari, Omar Berradi, Mohamed Chellouli; Inter. J. Acad. Stud.; 5(1):(2019)013-023

Abstract:
Eliminating all types of non-compliance becomes an obligation for management to improve business competitiveness. These non-compliances generate costs of non-quality which may, according to studies, up to 30% of turnover of a company. In order to effectively absorb these costs, it is essential to start first by their identification and evaluation. Malfunctions can occur at any stage, from procurement of raw material to production and marketing the finished products.
The objective of this work is to evaluate non-quality costs in a company specialized in production of paper and cardboard, in order to generate interest and deduce recommendations for improvement. Our results show that the non-quality costs (NQC) represent 13% of the annual production and losses due to internal issues are more important than external ones. This situation contributes in increasing the product cost’s price. To improve the quality and cost of its products the company should first reduce losses caused by non-quality costs. The Cost of Obtaining Quality (COQ) is an indicator that can be applied to assess quality within companies. The implementation of a progressive quality improvement process that seeks to reduce non-quality costs, through investments in prevention, is a first step towards the efficient management of quality.

Key words:
Non-Quality Costs, Cost of Obtaining Quality, Non-Compliance, Losses, Competitiveness, Cardboard company.



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