The Optimal Supply Decision Based on Dynamic Multiobjective Optimization and Prediction

Different material supply-related decisions intensively affect the efficiency of manufacturers. To obtain a suitable supply-related protocol, this study proposes a supply selection model which considers both manufacturers’ development orientation and material ordering. In contrast to traditional app...

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Main Authors: Kejia He, Hongyu Cheng, Yuchen Zhou, Cuihua Xie
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Function Spaces
Online Access:http://dx.doi.org/10.1155/2022/2593487
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author Kejia He
Hongyu Cheng
Yuchen Zhou
Cuihua Xie
author_facet Kejia He
Hongyu Cheng
Yuchen Zhou
Cuihua Xie
author_sort Kejia He
collection DOAJ
description Different material supply-related decisions intensively affect the efficiency of manufacturers. To obtain a suitable supply-related protocol, this study proposes a supply selection model which considers both manufacturers’ development orientation and material ordering. In contrast to traditional approaches that rely on expert opinions, the proposed approach in this study allows the time series analysis (ARIMA) to forecast the trend in manufacturers’ development during the execution of the plan. Based on the predicted trend, taking the minimum of total material management cost as the objective function, the control function and optimization conditions are constructed to select the appropriate protocol. The dynamic prediction protocol is obtained by considering the variation in production and material costs by an evolutionary algorithm. The model enables users to determine material supply protocol in continuous time and autonomously adapt to changes in the manufacturers’ production goals within a lower convergence time.
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institution Kabale University
issn 2314-8888
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Journal of Function Spaces
spelling doaj-art-61921aa109f04b2d803c489f1c7bc07f2025-02-03T05:50:00ZengWileyJournal of Function Spaces2314-88882022-01-01202210.1155/2022/2593487The Optimal Supply Decision Based on Dynamic Multiobjective Optimization and PredictionKejia He0Hongyu Cheng1Yuchen Zhou2Cuihua Xie3School of TelecommunicationSchool of ComputingSchool of Artificial IntelligenceSchool of Data Science and Artificial IntelligenceDifferent material supply-related decisions intensively affect the efficiency of manufacturers. To obtain a suitable supply-related protocol, this study proposes a supply selection model which considers both manufacturers’ development orientation and material ordering. In contrast to traditional approaches that rely on expert opinions, the proposed approach in this study allows the time series analysis (ARIMA) to forecast the trend in manufacturers’ development during the execution of the plan. Based on the predicted trend, taking the minimum of total material management cost as the objective function, the control function and optimization conditions are constructed to select the appropriate protocol. The dynamic prediction protocol is obtained by considering the variation in production and material costs by an evolutionary algorithm. The model enables users to determine material supply protocol in continuous time and autonomously adapt to changes in the manufacturers’ production goals within a lower convergence time.http://dx.doi.org/10.1155/2022/2593487
spellingShingle Kejia He
Hongyu Cheng
Yuchen Zhou
Cuihua Xie
The Optimal Supply Decision Based on Dynamic Multiobjective Optimization and Prediction
Journal of Function Spaces
title The Optimal Supply Decision Based on Dynamic Multiobjective Optimization and Prediction
title_full The Optimal Supply Decision Based on Dynamic Multiobjective Optimization and Prediction
title_fullStr The Optimal Supply Decision Based on Dynamic Multiobjective Optimization and Prediction
title_full_unstemmed The Optimal Supply Decision Based on Dynamic Multiobjective Optimization and Prediction
title_short The Optimal Supply Decision Based on Dynamic Multiobjective Optimization and Prediction
title_sort optimal supply decision based on dynamic multiobjective optimization and prediction
url http://dx.doi.org/10.1155/2022/2593487
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