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https://doi.org/10.1155/2018/4062871
Title: | Ordering Strategy Analysis of Prefabricated Component Manufacturer in Construction Supply Chain | Authors: | Yang, H Chung, J.K.H Chen, Y Pan, Y Mei, Z Sun, X |
Keywords: | Genetic algorithms Manufacture Supply chain management Component manufacturing Construction supply chain Fitness functions Materials supplies Objective functions Ordering strategy Prefabricated components Present situation Industrial research |
Issue Date: | 2018 | Publisher: | Hindawi Limited | Citation: | Yang, H, Chung, J.K.H, Chen, Y, Pan, Y, Mei, Z, Sun, X (2018). Ordering Strategy Analysis of Prefabricated Component Manufacturer in Construction Supply Chain. Mathematical Problems in Engineering 2018 : 4062871. ScholarBank@NUS Repository. https://doi.org/10.1155/2018/4062871 | Abstract: | Firstly, the characteristics and present situations of the prefabricated construction supply chain are analyzed; inventory cost models for construction material of every phase order, one-off order, and fractionated order are built based on traditional EOQ model and construction supply chain theory. Next, the order decision is represented in binary numbers 0 and 1, in which 0 stands for "no order" and 1 for "order." The analysis uses the genetic algorithm, sets the objective function, and undergoes testing and assessing the individual fitness function, encoding, decoding, crossover, mutation, and selecting parameter. Moreover, inventory cost of construction supply chain is processed and optimized in Matlab. The research establishes a research paradigm on supply chain management of component manufacturing and materials supply. This study concludes the ordering strategy on construction material, identifies the optimal order points and order batches, and provides recommendations for further research. © 2018 Hongxiong Yang et al. | Source Title: | Mathematical Problems in Engineering | URI: | https://scholarbank.nus.edu.sg/handle/10635/175137 | ISSN: | 1024-123X | DOI: | 10.1155/2018/4062871 |
Appears in Collections: | Staff Publications Elements |
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