Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
1-2016
Abstract
Although Performance Based Contracting (PBC) concept is not totally new, the PBC adaptation in Industrial Machinery and Components (IMC) manufacturing, which produces high-value and long life machineries, is rather slow and it is done with extra caution. Three main concerns for manufacturers to implement PBC are the investment cost, the maintenance cost and possible revenue loss. To handle these concerns and accelerate the PBC implementation, we propose an integrated platform that consists of three components: dynamic pricing, sensor data feeding and machinery monitoring. We model the dynamic pricing as an optimization problem and propose Genetic Algorithm to solve the problem. We run the experiment on generated data and show that GA provides a good pricing solution with average difference of 5.64% from the traditional fixed leasing price.
Keywords
dynamic pricing, genetic algorithm, industrial machinery and components manufacturing, integrated platform, performance based contracting
Discipline
Operations Research, Systems Engineering and Industrial Engineering | Theory and Algorithms
Research Areas
Intelligent Systems and Optimization
Publication
2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM): Singapore, December 6-9: Proceedings
First Page
1578
Last Page
1582
ISBN
9781467380669
Identifier
10.1109/IEEM.2015.7385913
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
LINDAWATI and GUNAWAN, Aldy.
Performance based contracting for the manufacturing industry by using integrated platform and dynamic pricing model. (2016). 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM): Singapore, December 6-9: Proceedings. 1578-1582.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/5137
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/IEEM.2015.7385913
Included in
Operations Research, Systems Engineering and Industrial Engineering Commons, Theory and Algorithms Commons