Integrated Production and Outbound Distribution Scheduling: a hybrid framework

The integrated production and outbound distribution scheduling (IPODS) framework presented in this paper addresses the critical need for coordinated manufacturing and distribution in industrial engineering and supply chain management. The proposed solution employs the Ant Colony System (ACS) to optimize production scheduling and vehicle routing. The framework comprises four stages: production scheduling, order completion and patch formation, vehicle assignment, and vehicle routing with departure time optimization. Initially, ACS is utilized to determine optimal schedules for parallel machine production, minimizing overall production time. Subsequently, order completion times are calculated, and orders are grouped into patches to streamline logistics. These patches are then assigned to vehicles from an available fleet, ensuring efficient utilization and load balancing. Finally, ACS is applied to solve the vehicle routing problem, determining optimal routes and departure times to minimize travel costs and ensure timely deliveries. This framework enhances the efficiency and effectiveness of managing integrated production and distribution tasks, providing significant and improved operational performance.

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Publication Details

Journal
The Egyptian International Journal of Engineering Sciences and Technology
Published
2024-08-11
DOI
https://doi.org/10.21608/eijest.2024.308544.1283
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrated Production and Outbound Distribution Scheduling: a hybrid framework

Raafat Elshaer, Ashraf Elsaeed, Mostafa Ashour
The Egyptian International Journal of Engineering Sciences and Technology
Scheduling and Optimization Algorithms
article

Integrated Production and Outbound Distribution Scheduling: a hybrid framework

Raafat Elshaer, Ashraf Elsaeed, Mostafa Ashour
article en

Abstract

The integrated production and outbound distribution scheduling (IPODS) framework presented in this paper addresses the critical need for coordinated manufacturing and distribution in industrial engineering and supply chain management. The proposed solution employs the Ant Colony System (ACS) to optimize production scheduling and vehicle routing. The framework comprises four stages: production scheduling, order completion and patch formation, vehicle assignment, and vehicle routing with departure time optimization. Initially, ACS is utilized to determine optimal schedules for parallel machine production, minimizing overall production time. Subsequently, order completion times are calculated, and orders are grouped into patches to streamline logistics. These patches are then assigned to vehicles from an available fleet, ensuring efficient utilization and load balancing. Finally, ACS is applied to solve the vehicle routing problem, determining optimal routes and departure times to minimize travel costs and ensure timely deliveries. This framework enhances the efficiency and effectiveness of managing integrated production and distribution tasks, providing significant and improved operational performance.

The Egyptian International Journal of Engineering Sciences and TechnologyVol. 0(0)
Zagazig University (EG), King Khalid University (SA)
Openalex Percentile: Top 81%
Scheduling and Optimization Algorithms
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