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A decision-making technique for solving order allocation problem using a genetic algorithm
| Content Provider | Scilit |
|---|---|
| Author | Ahmad, Ijaz Liu, Yan Javeed, Danish Ahmad, Shahab |
| Copyright Year | 2020 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering The selection of proper suppliers is one of the most complicated works of the purchasing department. Today, supplier selection includes different conflicting objectives. Because of contradictory multi-objective supplier selection is solving by using decision-making technique. This paper is presented a modified genetic algorithm by using a combination of crossover operators, Order crossover (OX), Simulated binary crossover (SBX) to assign the optimal order quantities to each supplier, with criteria of transportation cost, product quality, and delivery time with a quantity discount. The result shows that the modified genetic algorithm is an allocated optimal order for multi vendors with improves quality as well as less computational times. |
| Related Links | https://iopscience.iop.org/article/10.1088/1757-899X/853/1/012054/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/853/1/012054 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 1 |
| Volume Number | 853 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2020-05-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Industrial Engineering Decision Making Genetic Algorithm |
| Content Type | Text |
| Resource Type | Article |
