Abstract
This paper proposes a chance-constrained multi-objective goal programming model for supplier selection problem with uncertain factors. Considering uncertain factors of demand, capacity and lead time and several objectives, the proposed approach provides chance constraints leading to a order allocation decision-making result. The decision keeps the confidence and risk of constraints to a certain level. Therefore, the optimization model makes sure of the procurement cost, including purchasing cost and penalty cost, being restricted within an acceptable level according to the confidence and risk value initially set. The paper also provides a comparison between the conventional model (deterministic constraints) and proposed model (chance constraints) and shows the superiority of the latter.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017 |
| Publisher | Newswood Limited |
| Pages | 950-954 |
| Number of pages | 5 |
| Volume | 2228 |
| ISBN (Electronic) | 9789881404770 |
| Publication status | Published - 2017 Jan 1 |
| Event | 2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017 - Hong Kong, Hong Kong Duration: 2017 Mar 15 → 2017 Mar 17 |
Other
| Other | 2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017 |
|---|---|
| Country/Territory | Hong Kong |
| City | Hong Kong |
| Period | 17/3/15 → 17/3/17 |
Keywords
- Chance constraint
- Goal programming
- Supplier selection
- Uncertainty
ASJC Scopus subject areas
- Computer Science (miscellaneous)