Volume 3, 2016
|Number of page(s)||10|
|Published online||28 October 2016|
The production-distribution problem with order acceptance and package delivery: models and algorithm
Department of Industrial Engineering, Islamic Azad University of Karaj, Moazen Blvd, Shoora Street, Karaj, Iran
2 Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Enghelab Street, South Moffateh Street, Tehran, Iran
* e-mail: firstname.lastname@example.org
Accepted: 8 October 2016
The production planning and distribution are among the most important decisions in the supply chain. Classically, in this problem, it is assumed that all orders have to produced and separately delivered; while, in practice, an order may be rejected if the cost that it brings to the supply chain exceeds its revenue. Moreover, orders can be delivered in a batch to reduce the related costs. This paper considers the production planning and distribution problem with order acceptance and package delivery to maximize the profit. At first, a new mathematical model based on mixed integer linear programming is developed. Using commercial optimization software, the model can optimally solve small or even medium sized instances. For large instances, a solution method, based on imperialist competitive algorithms, is also proposed. Using numerical experiments, the proposed model and algorithm are evaluated.
Key words: The production planning and distribution problem / Order acceptance / Scheduling / The package delivery / Imperialist competitive algorithm
© M. Khalili et al., Published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.