Order Batching in Warehouses by Minimizing Total Tardiness: A Hybrid Approach of Weighted Association Rule Mining and Genetic Algorithms
المؤلفون المشاركون
Wong, Kuan Yew
Azadnia, Amir Hossein
Taheri, Shahrooz
Ghadimi, Pezhman
Mat Saman, Muhamad Zameri
المصدر
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-06-19
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الطب البشري
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
One of the cost-intensive issues in managing warehouses is the order picking problem which deals with the retrieval of items from their storage locations in order to meet customer requests.
Many solution approaches have been proposed in order to minimize traveling distance in the process of order picking.
However, in practice, customer orders have to be completed by certain due dates in order to avoid tardiness which is neglected in most of the related scientific papers.
Consequently, we proposed a novel solution approach in order to minimize tardiness which consists of four phases.
First of all, weighted association rule mining has been used to calculate associations between orders with respect to their due date.
Next, a batching model based on binary integer programming has been formulated to maximize the associations between orders within each batch.
Subsequently, the order picking phase will come up which used a Genetic Algorithm integrated with the Traveling Salesman Problem in order to identify the most suitable travel path.
Finally, the Genetic Algorithm has been applied for sequencing the constructed batches in order to minimize tardiness.
Illustrative examples and comparisons are presented to demonstrate the proficiency and solution quality of the proposed approach.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Azadnia, Amir Hossein& Taheri, Shahrooz& Ghadimi, Pezhman& Mat Saman, Muhamad Zameri& Wong, Kuan Yew. 2013. Order Batching in Warehouses by Minimizing Total Tardiness: A Hybrid Approach of Weighted Association Rule Mining and Genetic Algorithms. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1032693
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Azadnia, Amir Hossein…[et al.]. Order Batching in Warehouses by Minimizing Total Tardiness: A Hybrid Approach of Weighted Association Rule Mining and Genetic Algorithms. The Scientific World Journal No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-1032693
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Azadnia, Amir Hossein& Taheri, Shahrooz& Ghadimi, Pezhman& Mat Saman, Muhamad Zameri& Wong, Kuan Yew. Order Batching in Warehouses by Minimizing Total Tardiness: A Hybrid Approach of Weighted Association Rule Mining and Genetic Algorithms. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1032693
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1032693
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