2345. A four valued neutrosophic multi-objective optimization for managing pandemics in a network of healthcare systems
Invited abstract in session TB-42: Sustainable supply chains III, stream Circular & Sustainable Supply Chains.
Tuesday, 10:30-12:00Room: Newlyn GR.02
Authors (first author is the speaker)
| 1. | Muhammad imran
|
| Management, KIMEP University | |
| 2. | Irfan Irfan
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| International Business and Strategy, Plymouth Business School |
Abstract
Decision making under uncertainty has been always a challenge due to probabilistic and non-probabilistic behavior of situations. Moreover, most of the models are based on a set of assumptions and unknown parameters, making it difficult for the analyst to incorporate all of them in the decision making. The extent of literature depicts the extensive use of probabilistic models in which their deterministic form employs expected values and standard deviation while ignoring the extreme values. While non-probabilistic models such as fuzzy multi-objective optimization model incorporate extreme values based on the type of membership function used in the model. Most of the fuzzy multi-objective models engage extreme values such as best and worst solutions to cater to uncertainty. However, in addition to the uncertainty the decision-making process the analyst may face the truth, falsity, and contradiction in the results. To deal with this problem this research proposes a four valued neutrosophic multi-objective optimization model. It uses membership function for each objective and each situation such as uncertainty, truth, falsity, and contraction and its final formulation achieves the satisfaction level of each objective. To demonstrate the practical application of the model a case study of healthcare network is presented. The case study is about managing resources in a network of healthcare systems during uncertain situations such as the Pandemic Covid-19. Due to the increased numb
Keywords
- Disaster and Crisis Management
- Multi-Objective Decision Making
- OR/MS and the Public Sector
Status: accepted
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