Please use this identifier to cite or link to this item: 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

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_1155_2018_4062871.pdf2.49 MBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.