Abstract

We develop neutrosophic goal programming models for sustainable resource planning in a healthcare organization. The neutrosophic approach can help examine the imprecise aspiration levels of resources. For deneutrosophication, the neutrosophic value is transformed into three intervals based on the truth, falsity, and indeterminacy-membership functions. Then, a crisp value is derived. Moreover, multi-choice goal programming is also used to get a crisp value. The proposed models seek to draw a strategic plan and long-term vision for a healthcare organization. Accordingly, the specific aims of the proposed flexible models are meant to evaluate hospital service performance and to establish an optimal plan to meet the growing patient needs. As a result, sustainability's economic and social goals will be achieved so that the total cost would be optimized, patients' waiting time would be reduced, high-quality services would be offered, and appropriate medical drugs would be provided. The simplicity and feasibility of the proposed models are validated using real data collected from the Al-Amal Center for Oncology, Aden, Yemen. The results obtained indicate the robustness of the proposed models, which would be valuable for planners who could guide healthcare staff in providing the necessary resources for optimal annual planning.

Highlights

  • Optimizing existing resources in health organizations is critical to meeting the needs of patients

  • We propose neutrosophic goal programming models for evaluating and optimizing the existing resources of health organizations and for optimal future planning. e main strategic goals to design the proposed models are (a) optimizing the center’s resources; (b) matching the center service with the requirements of patients by providing high-quality services and appropriate medical drugs as well as reducing the waiting time; and (c) planning to meet the ideal center requirements by increasing the center capacity according to the predicted growth of patients. e real data are obtained from the Al-Amal Center for Oncology, Aden, Yemen

  • Results of the Neutrosophic Goal Programming Model. ere are three states of an economy: growth, stability, and stagnation. e budgets are assumed in accordance with these states. at is, the budgets are increased in the optimism state; are left unchanged or changed only marginally in the stability state; and are decreased in the pessimism state

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Summary

Introduction

Optimizing existing resources in health organizations is critical to meeting the needs of patients. Lee and Kwak (1999) [6] presented a goal programming model for designing and evaluating effective information resource planning in a healthcare system. Lee and Kwak (2011) [8] developed a multi-criteria decision-making model for strategic enterprise resource planning adoption by considering both financial and nonfinancial business factors. We propose neutrosophic goal programming models for evaluating and optimizing the existing resources of health organizations and for optimal future planning. E main strategic goals to design the proposed models are (a) optimizing the center’s resources; (b) matching the center service with the requirements of patients by providing high-quality services and appropriate medical drugs as well as reducing the waiting time; and (c) planning to meet the ideal center requirements by increasing the center capacity according to the predicted growth of patients.

Theory
Neutrosophic Set
Proposed Models
Case Study
Results and Discussion
Conclusions

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