WSNs based- L4L rule for fuzzy inventory control decision making (WSN-FL4L)‎

المؤلفون المشاركون

al-Rawi, Maha A. Hammud
Karim, Adnan Tahir
Ali, Isra Tahsin

المصدر

Journal of Babylon University : Journal of Applied and Pure Sciences

العدد

المجلد 26، العدد 4 (30 إبريل/نيسان 2018)، ص ص. 319-329، 11ص.

الناشر

جامعة بابل

تاريخ النشر

2018-04-30

دولة النشر

العراق

عدد الصفحات

11

الملخص EN

Inventory control is one of the most important tasks for industrial companies.

Inventory control systems play an important role in inventory monitoring.

Wireless Sensor Networks (WSNs) technology has been taken into great attention in the field of inventory control because it is considered as an efficient, low-cost technology to control inventories.

This paper proposes an intelligent inventory control system depending on WSNs and fuzzy logic to control the dependent demand items effectively under MRP system and L4L lot sizing rule.

to be used to solve the industrial problems.

A numerical example of a 5 drawers - chest of drawers product has been experimented.

The advantage of the proposed WSN-FL4L system could be represented in its ability to make decisions in different inventory states.

Different cases of replenishment were investigated depending on the (IF-THEN rules) statement of fuzzy logic.

Ultrasonic - distance sensor has been programmed to compute the number of items’ pieces, depending on the thickness of each piece.

ASP.net web application and C# programming language based on SQL database server are applied.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

al-Rawi, Maha A. Hammud& Ali, Isra Tahsin& Karim, Adnan Tahir. 2018. WSNs based- L4L rule for fuzzy inventory control decision making (WSN-FL4L). Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 26, no. 4, pp.319-329.
https://search.emarefa.net/detail/BIM-1233534

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

al-Rawi, Maha A. Hammud…[et al.]. WSNs based- L4L rule for fuzzy inventory control decision making (WSN-FL4L). Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 26, no. 4 (2018), pp.319-329.
https://search.emarefa.net/detail/BIM-1233534

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

al-Rawi, Maha A. Hammud& Ali, Isra Tahsin& Karim, Adnan Tahir. WSNs based- L4L rule for fuzzy inventory control decision making (WSN-FL4L). Journal of Babylon University : Journal of Applied and Pure Sciences. 2018. Vol. 26, no. 4, pp.319-329.
https://search.emarefa.net/detail/BIM-1233534

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 328-329

رقم السجل

BIM-1233534