Safety stock identification in beverage soft drink industries by using dynamic fuzzy logic
العناوين الأخرى
تحديد مستوى خزين الأمان في صناعة المشروبات الغازية و ذلك باستخدام المنطق الضبابي الديناميكي
المؤلفون المشاركون
Subayh, Sawsan
Qasim, Ala al-Din
Jamigh, Riyad
المصدر
Journal of University of Babylon for Engineering Sciences
العدد
المجلد 26، العدد 9 (30 سبتمبر/أيلول 2018)، ص ص. 90-101، 12ص.
الناشر
تاريخ النشر
2018-09-30
دولة النشر
العراق
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
The optimization of safety stock considered an important element in the supply chain of beverage industries.
in this paper, dynamic fuzzy logic was used as an advanced approach to identify the safety stock level in the beverage industries with the objective of minimizing total cost and meet with customer requirements.
the problem of shortage occurred in these organizations due to poor inventory strategies which considered negative storage driver, so provide advanced safety stock identification strategy will lead to overcome this problem especially for organizations work under make to stock policy.
three main steps are included here to identify safety stock level firstly, building of fuzzy sets for each variable, secondly, identifying max values to represent universe of discourse of variables and identify monthly input values of the variables, finally, execution of the proposed model in fuzzy logic tool embedded in matlab software.
in order to demonstrate the validity of proposed model, real data soft drink supply chain problem was presented.
reduction in stock-out of drinks about 99.9% was obtained by applying this model where the shortage was decreased from (53,423 package) to only (154 package).
the obtained results of the research demonstrated the need to adopt advanced methodologies such as soft computing to identify safety stock level.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Jamigh, Riyad& Qasim, Ala al-Din& Subayh, Sawsan. 2018. Safety stock identification in beverage soft drink industries by using dynamic fuzzy logic. Journal of University of Babylon for Engineering Sciences،Vol. 26, no. 9, pp.90-101.
https://search.emarefa.net/detail/BIM-918540
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Jamigh, Riyad…[et al.]. Safety stock identification in beverage soft drink industries by using dynamic fuzzy logic. Journal of University of Babylon for Engineering Sciences Vol. 26, no. 9 (2018), pp.90-101.
https://search.emarefa.net/detail/BIM-918540
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Jamigh, Riyad& Qasim, Ala al-Din& Subayh, Sawsan. Safety stock identification in beverage soft drink industries by using dynamic fuzzy logic. Journal of University of Babylon for Engineering Sciences. 2018. Vol. 26, no. 9, pp.90-101.
https://search.emarefa.net/detail/BIM-918540
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 99-100
رقم السجل
BIM-918540
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر