A GA-Based Scheduling Method for Civil Aircraft Distributed Production with Material Inventory Replenishment Consideration

The production of civil aircrafts is confronted with a significant demand for the interconnectivity of production resources among distributed factories, while the complex coupling relationships among various production resources might restrict the improvement of production efficiency. Therefore, res...

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Main Authors: Xumai Qi, Dongdong Zhang, Hu Lu, Rupeng Li
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/14/3135
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author Xumai Qi
Dongdong Zhang
Hu Lu
Rupeng Li
author_facet Xumai Qi
Dongdong Zhang
Hu Lu
Rupeng Li
author_sort Xumai Qi
collection DOAJ
description The production of civil aircrafts is confronted with a significant demand for the interconnectivity of production resources among distributed factories, while the complex coupling relationships among various production resources might restrict the improvement of production efficiency. Therefore, researching scheduling methods for civil aircraft distributed production is necessary, but previous studies have not taken material inventory into account sufficiently. This article proposes a scheduling method for civil aircraft distributed production that aims to minimize the production time to complete all the jobs in a large production station under the condition of material inventory replenishment. Firstly, we analyze the factors constraining civil aircraft production efficiency, and formulize the production scheduling problem into the Resource-Constrained Project Scheduling Problem model with Inventory Replenishment (RCPSP-IR). Precedence constraints and resource constraints, especially the inventory constraints, are mainly considered in RCPSP-IR. To solve the corresponding scheduling problem, the Genetic Algorithm (GA) is applied and multiple approaches are introduced to handle the complex constraints and avoid local optimum. Finally, we applied the proposed scheduling method to a case study of a jet twin-engine civil aircraft production of COMAC. The results of the case study show that the proposed method can give a nearly optimal scheduling strategy to be applied to actual civil aircraft production.
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spelling doaj.art-d0fc9ec65d11486299d2085ae5c36b672023-11-18T20:21:03ZengMDPI AGMathematics2227-73902023-07-011114313510.3390/math11143135A GA-Based Scheduling Method for Civil Aircraft Distributed Production with Material Inventory Replenishment ConsiderationXumai Qi0Dongdong Zhang1Hu Lu2Rupeng Li3The School of Electronics and Information Engineering, Tongji University, Shanghai 201804, ChinaThe School of Electronics and Information Engineering, Tongji University, Shanghai 201804, ChinaCOMAC Shanghai Aircraft Manufacturing Co., Ltd., Shanghai 201324, ChinaCOMAC Shanghai Aircraft Manufacturing Co., Ltd., Shanghai 201324, ChinaThe production of civil aircrafts is confronted with a significant demand for the interconnectivity of production resources among distributed factories, while the complex coupling relationships among various production resources might restrict the improvement of production efficiency. Therefore, researching scheduling methods for civil aircraft distributed production is necessary, but previous studies have not taken material inventory into account sufficiently. This article proposes a scheduling method for civil aircraft distributed production that aims to minimize the production time to complete all the jobs in a large production station under the condition of material inventory replenishment. Firstly, we analyze the factors constraining civil aircraft production efficiency, and formulize the production scheduling problem into the Resource-Constrained Project Scheduling Problem model with Inventory Replenishment (RCPSP-IR). Precedence constraints and resource constraints, especially the inventory constraints, are mainly considered in RCPSP-IR. To solve the corresponding scheduling problem, the Genetic Algorithm (GA) is applied and multiple approaches are introduced to handle the complex constraints and avoid local optimum. Finally, we applied the proposed scheduling method to a case study of a jet twin-engine civil aircraft production of COMAC. The results of the case study show that the proposed method can give a nearly optimal scheduling strategy to be applied to actual civil aircraft production.https://www.mdpi.com/2227-7390/11/14/3135civil aircraft distributed productionmathematical modelingResource-Constrained Project Scheduling ProblemGenetic Algorithm
spellingShingle Xumai Qi
Dongdong Zhang
Hu Lu
Rupeng Li
A GA-Based Scheduling Method for Civil Aircraft Distributed Production with Material Inventory Replenishment Consideration
Mathematics
civil aircraft distributed production
mathematical modeling
Resource-Constrained Project Scheduling Problem
Genetic Algorithm
title A GA-Based Scheduling Method for Civil Aircraft Distributed Production with Material Inventory Replenishment Consideration
title_full A GA-Based Scheduling Method for Civil Aircraft Distributed Production with Material Inventory Replenishment Consideration
title_fullStr A GA-Based Scheduling Method for Civil Aircraft Distributed Production with Material Inventory Replenishment Consideration
title_full_unstemmed A GA-Based Scheduling Method for Civil Aircraft Distributed Production with Material Inventory Replenishment Consideration
title_short A GA-Based Scheduling Method for Civil Aircraft Distributed Production with Material Inventory Replenishment Consideration
title_sort ga based scheduling method for civil aircraft distributed production with material inventory replenishment consideration
topic civil aircraft distributed production
mathematical modeling
Resource-Constrained Project Scheduling Problem
Genetic Algorithm
url https://www.mdpi.com/2227-7390/11/14/3135
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