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تحليل الفجوة بين الواقع الفعلي و متطلبات المواصفة ISO14001: 2015 دراسة حالة في شركة مصافي الوسط / مصفى الدورة
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يعد نظام الإدارة البيئية ( EMS ) على وفق المواصفة ISO 14001:2015 من الانظمة الإدارية الحديثة والمهمة في وقتنا الحالي، اذ هو أحد أدوات الأدارة البيئية بعّده مدخلاً للمعالجة أو الحد من المخاطر البيئية وآثارها، وبالخصوص الاثار الناجمة من الصناعة النفطية والتي تعد المصدر الرئيس للتلوث البيئي وهدر ونفاذ الموارد الطبيعية. تتجلى مشكلة الدراسة في ضعف عملية تشخيص والحد من مخاطر الجوانب البيئية وما ينجم عنها من آثار بيئية ذات أثر واضح وملموس على حياة العاملين والبيئة العامة. ان هدف الدراسة هو التعرف على مدى تطبيق نظام الإدارة البيئية في ( شركة مصافي الوسط/ مصفى الدورة) يتم ذلك من خلال تحديد حجم الفجوة في تطبيق المواصفة البيئية عن طريق استخدام قائمة الفحص ( Checklist ) وعدد من وسائل التحليل الاحصائي ( الوسط الحسابي, الاوزان , النسب المئوية ) , وتشخيص الجوانب البيئية. توصلت هذه الدراسة الى جملة من النتائج كانت اهمها وجود فجوة في تطبيق المواصفة اعلاه وبنسبة (%43) ناتجة عن ضعف في تطبيق معظم بنود المواصفة من الشركة وكذلك ضعف الاهتمام بتطبيق البرامج المخططة والمتعلقة بمعالجة أو الحد من الجوانب البيئية وتأثيراتها. تتضح القيمة المضافة في هذه الدراسة عن طريق تشخيص نقاط القوة والضعف في كل بند من بنود المواصفة البيئية مع وضع خطة عمل من اجل ألغاء أو تقليص الفجوة في الشركة المبحوثة.

نوع البحث: ورقة بحثية

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Publication Date
Wed Dec 01 2021
Journal Name
Journal Of Economics And Administrative Sciences
Comparison Between Nelson-Olson Method and Two-Stage Limited Dependent Variables (2SLDV ) Method for the Estimation of a Simultaneous Equations System (Tobit Model)
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This study relates to  the estimation of  a simultaneous equations system for the Tobit model where the dependent variables  ( )  are limited, and this will affect the method to choose the good estimator. So, we will use new estimations methods  different from the classical methods, which if used in such a case, will produce biased and inconsistent estimators which is (Nelson-Olson) method  and  Two- Stage limited dependent variables(2SLDV) method  to get of estimators that hold characteristics the good estimator .

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Mon Jul 01 2024
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Journal Of Engineering
Efficient Intrusion Detection Through the Fusion of AI Algorithms and Feature Selection Methods
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Wed Jun 30 2021
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Tue Oct 01 2019
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Thu Aug 06 2020
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