Abstract
Supply chain management process includes many activities to transform raw materials into final products considering with customer satisfaction. Order fulfillment process is one of them and plays a critical role in ensuring customer satisfaction. This study proposes uncertain dynamic intuitionistic decision making method in order to evaluate order fulfillment performance. The method uses interval-valued intuitionistic fuzzy numbers and simple calculation operators. Three firms are evaluated according to seven criteria, and a sensitivity analysis is conducted to show the robustness of the model. We conclude that the method is a useful tool for handling multi-period decision making problems in the intuitionistic fuzzy environment.
| Original language | English |
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| Title of host publication | Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019 |
| Editors | Vilem Novak, Vladimir Marik, Martin Stepnicka, Mirko Navara, Petr Hurtik |
| Publisher | Atlantis Press |
| Pages | 60-65 |
| Number of pages | 6 |
| ISBN (Electronic) | 9789462527706 |
| Publication status | Published - 2020 |
| Event | 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019 - Prague, Czech Republic Duration: 9 Sept 2019 → 13 Sept 2019 |
Publication series
| Name | Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019 |
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Conference
| Conference | 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019 |
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| Country/Territory | Czech Republic |
| City | Prague |
| Period | 9/09/19 → 13/09/19 |
Bibliographical note
Publisher Copyright:Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Keywords
- Order fulfillment
- Supply chain management
- Uncertain dynamic intuitionistic fuzzy MCDM