Supplier selection for vendor-managed inventory in healthcare using fuzzy multi-criteria decision-making approach ,

Sumrit, Detcharat

doi:10.5267/j.dsl.2019.10.002

Cited by 43 publications

(26 citation statements)

References 53 publications

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“…The proposed work can provide a solution to handle this critical situation. This work mainly focuses on fuzzy rulebased approach [49][50][51][52][53] that uses priority-based method [54,55] to manage and assign the hospital beds for the treatment of COVID-19 infected patients. The proposed approach is compared with the FCFS-based [56,57] approach to analyze the practical scenario during the assignment of hospital beds.…”

Section: Proposed Methodologymentioning

confidence: 99%

A fuzzy rule-based efficient hospital bed management approach for coronavirus disease-19 infected patients

Jena

Bhoi

Prasad

et al. 2021

Neural Comput & Applic

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) is a very dangerous infectious disease for the entire world in the current scenario. Coronavirus spreads from one person to another person very rapidly. It spreads exponentially throughout the globe. Everyone should be cautious to avoid the spreading of this novel disease. In this paper, a fuzzy rule-based approach using priority-based method is proposed for the management of hospital beds for COVID-19 infected patients in the worst-case scenario where the number of hospital beds is very less as compared to the number of COVID-19 infected patients. This approach mainly attempts to minimize the number of hospital beds as well as emergency beds requirement for the treatment of COVID-19 infected patients to handle such a critical situation. In this work, higher priority has given to severe COVID-19 infected patients as compared to mild COVID-19 infected patients to handle this critical situation so that the survival probability of the COVID-19 infected patients can be increased. The proposed method is compared with first-come first-serve (FCFS)-based method to analyze the practical problems that arise during the assignment of hospital beds and emergency beds for the treatment of COVID-19 patients. The simulation of this work is carried out using MATLAB R2015b.

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Section: Proposed Methodologymentioning

confidence: 99%

A fuzzy rule-based efficient hospital bed management approach for coronavirus disease-19 infected patients

Jena

Bhoi

Prasad

et al. 2021

Neural Comput & Applic

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“…For many years, MCDM techniques have proved its versatility by addressing different complex problems with effective solutions in various sectors including manufacturing [21,25,26], transport [27,28], health [28], finance [29], etc. Many researchers applied MCDM tools to resolve numerous decision-making problems in a wide range of fields.…”

Section: Literature Reviewmentioning

confidence: 99%

“…., n WASPAS is a combination of WSM and WPM. In this method, the weighted sum and weighted product values are combined using Equation (28) to determine a joint generalized criterion (J i ) of the alternatives, as shown in Table 16.…”

Section: For Beneficial Criteria N Ij (W) =mentioning

confidence: 99%

Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS

et al. 2021

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Traditional Multi-Criteria Decision Making (MCDM) methods have now become outdated; therefore, most researchers are focusing on more robust hybrid MCDM models that combine two or more MCDM techniques to address decision-making problems. The authors attempted to create two novel hybrid MCDM systems in this paper by integrating Additive Ratio ASsessment (ARAS) with Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Complex PRoportional ASsessment (COPRAS). To demonstrate the ability and effectiveness of these two hybrid models i.e., TOPSIS-ARAS and COPRAS-ARAS were applied to solve a real-time robot selection problem with 12 alternative robots and five selection criteria, while evaluating the parametric importance using the CRiteria Importance Through Inter criteria Correlation (CRITIC) objective weighting estimation tool. The rankings of the robot alternatives gained from these two hybrid models were also compared to the obtained results from eight other solo MCDM tools. Although the rankings by the applied methods slightly differ from each other, the final outcomes from all of the adopted techniques are consistent enough to suggest that robot 12 is the best choice followed by robot 11, and robot 4 is the worst one among these 12 alternatives. Spearman Correlation Coefficient (SCC) also reveals that the proposed rankings derived from various methods have a strong ranking relationship with one another. Finally, sensitivity analysis was performed to investigate the effects of weight variation and to validate the robustness of the implemented MCDM approaches.

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“…(Matawale et al 2016), (Sahu et al 2016) The four alternative suppliers operating domestically and overseas were names as; A1, A2, A3 and A4. The fuzzy number equivalents of the linguistic variables used by the three DMs to evaluate the dimensions and the criteria under them are given in Table 7 (Mavi et al 2017;Sumrit 2020). Firstly, the dimensions will be evaluated among themselves.…”

Section: C27 Cooperation Abilitymentioning

confidence: 99%

Selecting a Green, Agile and Industry 4.0 Supplier With the Fuzzy-Swara-Bwm Integrated Method

Akcan

2021

Preprint

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Businesses establish supply chains in order to continue their activities. Choosing the suppliers to take part in these supply chains poses many challenges in rapidly changing conditions. Environmental concerns in the public, competitive market structures, and developing technological opportunities affect the decision-making processes. Different criteria are taken into consideration instead of traditional criteria such as cost and service. In this study, green, agile, and Industry 4.0 dimensions and the criteria under these dimensions are defined. According to these, the problem of selecting the supplier that responds to the expectations of the markets and enables them to increase their competitiveness was discussed. Fuzzy SWARA and fuzzy BMW methods were applied in an integrated way to solve the supplier selection problem under these three dimensions. A real case study was also presented. In the study, the results obtained by creating different scenarios were compared and sensitivity analysis was made. The results obtained show that the hybrid method developed in this study is effective in supplier selection problems. As a result of the study, the most important evaluation dimension is "agile" and the most important criterion is "delivery speed".

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Supplier selection for vendor-managed inventory in healthcare using fuzzy multi-criteria decision-making approach ,

Cited by 43 publications

References 53 publications

A fuzzy rule-based efficient hospital bed management approach for coronavirus disease-19 infected patients

A fuzzy rule-based efficient hospital bed management approach for coronavirus disease-19 infected patients

Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS

Selecting a Green, Agile and Industry 4.0 Supplier With the Fuzzy-Swara-Bwm Integrated Method

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