The goal of this research is to create a decision-making process for sustainable supplier selection and order allocation that is known as Fermatean Fuzzy Sets-Based Decision Making (FFS-DMS). The Improved Salp Swarm Optimization (ISSO) approach is used to pick suppliers and allocate the best order quantities. The suggested FFS-ISSA-DMS technique's viability and efficacy are proven through empirical experiments. With an astounding 99.81% accuracy rate, this method outperforms other models that are already in use in this situation.
Top1. Introduction
The way the healthcare sector approaches SC management has undergone a significant shift in recent years (Habib et al., 2023). Innovative strategies are becoming more and more necessary as hospitals work to deliver high-quality care while cutting costs and increasing overall efficiency. The adoption of Circular SCs (CSC), which prioritize sustainability and the responsible use of resources, is one notable change in this environment. The intensive care unit is a vital component of the hospital ecosystem that requires particular consideration (ICU). The ICU is critical to the patient care continuum, so a smooth and responsive healthcare SC is essential (Rehman, O. U., & Ali 2022). The principles of sustainability and conscientious resource management form the foundation of the Circular SC (CSC) concept. It motivates businesses to cut back on waste, recycle goods, and repurpose materials in order to save money and lessen their environmental impact (Rahman et al 2023). Adopting a circular approach is particularly important in the healthcare industry because of the significant amounts of medical waste generated, the need for quick response in emergency situations, and the requirement for efficient resource allocation (Naseem et al., 2023). The intensive care unit (ICU) occupies a special place in hospitals as the front line of critical patient care, where patient outcomes can be directly impacted by SC efficiency (Mahjoob et al., 2023).
Effective management of the SC is crucial in the intensive care unit to guarantee the timely availability of necessary medical supplies, equipment, and pharmaceuticals. Patients may suffer grave consequences as a result of ICU SC mishandling, shortages, or delays. As a result, for continuous improvement in the intensive care unit SC, Key Performance Indicators (KPIs) must be measured and analyzed (Chen et al., 2023). KPIs give SC managers and healthcare administrators the ability to evaluate the chain's performance, pinpoint areas for development, and make data-driven choices that will improve patient care and efficiency. In order to effectively accomplish these goals, healthcare organizations need to make use of the best tools and techniques. Given its capacity to manage the uncertainty, complexity, and variability inherent in healthcare SC processes, fuzzy-based SC management appears to be the best option (Mostepaniuk et al., 2023 and Xu et al., 2023). There are a number of strong arguments in favor of fuzzy-based SC management in the healthcare industry, especially in intensive care units.
Uncertainties in supply and demand frequently afflict healthcare SC management. Rapid changes in patient needs necessitate SCs to adjust as well. Because Fuzzy logic (FL) performs effectively when handling imprecise and unclear data, it can be applied to modeling the demand and supply patterns that fluctuate in the intensive care unit (Pamucar et al., 2023). ICU patients show different levels of illness, and things can change quickly for them. The SC must adapt to these changes and be flexible. FL ensures that supplies are distributed appropriately to meet changing needs by adapting to the dynamic changes in patient care (Ahmad, F., & John, B. 2023). ICU patients show different levels of illness, and things can change quickly for them. The SC must adapt to these changes and be flexible (Chandra et al., 2023). When patient care needs change, FL can adjust to the new circumstances and make sure that supplies are distributed in a way that best suits the new requirements. Decisions about the healthcare SC frequently take into account a number of factors. Cost, quality, availability, and patient safety are a few examples of these (Deliktaş et al., 2023). FL offers a thorough framework for making decisions in accordance with the standard procedure intricate structure of healthcare SCs and permits the integration of numerous factors. Healthcare organizations can enhance patient care, optimize resource allocation, and add to the healthcare SC's effectiveness and durabilityby implementing a fuzzy-based approach (Luo et al., 2023).