A Novel Approach for Optimizing the Supply Chain: A Heuristic-Based Hybrid Algorithm
المؤلفون المشاركون
Kocaoglu, Yasemin
Cakmak, Emre
Kocaoglu, Batuhan
Taskin Gumus, Alev
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-24، 24ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-02-27
دولة النشر
مصر
عدد الصفحات
24
التخصصات الرئيسية
الملخص EN
Managing the distribution of goods is a vital operation for many companies.
A successful distribution system requires an effective distribution strategy selection and optimum route planning at the right time and minimum cost.
Furthermore, customer’s demand and location can vary from order to order.
In this situation, a mixed delivery system is a good solution for it and allows the use of different strategies together to decrease delivery costs.
Although the “distribution strategy selection” is a critical issue for companies, there are only a few studies that focus on the mixed delivery network problem.
There is a need to propose an efficient solution for the mixed delivery problem to guide researchers and practitioners.
This paper develops a new “modified” savings-based genetic algorithm which is named “distribution strategy selection and vehicle routing hybrid algorithm (DSSVRHA).” Our new algorithm aims to contribute to the literature a new hybrid solution to solve a mixed delivery network problem that includes three delivery modes: “direct shipment,” “milk run,” and “cross-docking” efficiently.
It decides the appropriate distribution strategy and also optimal routes using a heterogeneous fleet of vehicles at minimum cost.
The results of the hybrid algorithm are compared with the results of the optimization model.
And the performance of the hybrid algorithm is validated with statistical analysis.
The computational results reveal that our developed algorithm provides a good solution for reducing the supply chain distribution costs and computational time.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kocaoglu, Yasemin& Cakmak, Emre& Kocaoglu, Batuhan& Taskin Gumus, Alev. 2020. A Novel Approach for Optimizing the Supply Chain: A Heuristic-Based Hybrid Algorithm. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-24.
https://search.emarefa.net/detail/BIM-1194768
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kocaoglu, Yasemin…[et al.]. A Novel Approach for Optimizing the Supply Chain: A Heuristic-Based Hybrid Algorithm. Mathematical Problems in Engineering No. 2020 (2020), pp.1-24.
https://search.emarefa.net/detail/BIM-1194768
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kocaoglu, Yasemin& Cakmak, Emre& Kocaoglu, Batuhan& Taskin Gumus, Alev. A Novel Approach for Optimizing the Supply Chain: A Heuristic-Based Hybrid Algorithm. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-24.
https://search.emarefa.net/detail/BIM-1194768
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1194768
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