Login | Register

An optimization model for composite wind turbine blade production planning


An optimization model for composite wind turbine blade production planning

Wang, Wei Yong (2010) An optimization model for composite wind turbine blade production planning. Masters thesis, Concordia University.

Text (application/pdf)
MR67143.pdf - Accepted Version


Composite wind turbine blades are major components of wind towers and they constitute a significant proportion of the cost of building wind towers. It has been a common practice that wind turbine blade manufacturing companies extend production to multiple sites. This thesis will apply an integrated production planning model to multi-site composite wind turbine blade manufacturing for improved operations performance and minimized supply chain cost. The model is formulated by mixed integer linear programming (MILP) and contains three modules: raw material inventory module, production module and finished product distribution module. It covers the operations of a whole supply chain including raw materials procurement and inventory control, production planning, manpower planning, finished products warehousing and transportation. A numerical example is given to illustrate the model and to examine computational efficiency of it. Sensitivity analysis is conducted to identify important cost factors and to provide directions for managerial operations in cost reduction. Key words: composite, wind turbine blades, multi-site, production planning, supply chain cost, MILP, cost reduction

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical and Industrial Engineering
Item Type:Thesis (Masters)
Authors:Wang, Wei Yong
Pagination:xi, 105 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Mechanical and Industrial Engineering
Thesis Supervisor(s):Hoa, S. V
ID Code:979316
Deposited By: Concordia University Library
Deposited On:09 Dec 2014 17:57
Last Modified:18 Jan 2018 17:48
Related URLs:
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Back to top Back to top