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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Format: | Article |
Language: | English |
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Wiley
2022-01-01
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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. |
format | Article |
id | doaj-art-61921aa109f04b2d803c489f1c7bc07f |
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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