scholarly journals An application of multi-criteria decision-making approach to sustainable drug shortages management: evidence from a developing country

Author(s):  
Asiye Moosivand ◽  
Maryam Rangchian ◽  
Leila Zarei ◽  
Farzad Peiravian ◽  
Gholamhossein Mehralian ◽  
...  

Abstract Background Drug shortage is a significant public health problem, especially for drugs related to life threatening conditions. Almost all countries affected by variety of supply problems and spent a considerable amount of time and resources responding to shortage. The aim of present study is to determine and prioritize strategies to achieve best solutions for these considerable healthcare system challenges and to evaluate this strategies base on practical criteria. Methods To achieve the study objectives, the research was conducted in two phases. Determining of the strategies to control drug shortage, and comprehensive assessments of priority of possible strategies. For each phase, a self-design questionnaire was developed. The five main managerial strategies dimensions including: regulatory, financial, supply chain, information system and policy-making were set out. Forty-five alternatives were elicited from literature, and were evaluated and trimmed to 37 strategies based on experts’ opinion. The Multiple criteria decision-making (MCDM) methods were applied in second phase. Five important criteria including cost, time, labor, compliance with law and culture were weighed by Analytic Hierarchy Process (AHP) technique. Then, 37 alternatives have been rated base on the five criteria on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) technique. Results “Creating integrated Supply chain information system to manage medicines inventory in the country”, “Creating and using the databases to predict the shortage of medicines”, “Using track and trace system” are alternatives 20th, 24th and 25th, which related to supply chain (SC) and information system (IS) dimensions have higher priority in the experts’ point of view. The results show IS dimension has 100 percentage of priority; following that policy and supply chain have higher priority, respectively. Conclusion Health systems rely on consistent supplying of pharmaceuticals to support patient care. The results show that information system, policy-making and supply chain are in the top-ranking priorities. Warning system needs to be improved to the advance system via better collaboration with stakeholders, publish precise and explicit national guidelines for drug shortage management, enforce the guidelines, and improve Iran FDA’s pharmaceutical market control capability.

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 353 ◽  
Author(s):  
Bojan Matić ◽  
Stanislav Jovanović ◽  
Dillip Kumar Das ◽  
Edmundas Kazimieras Zavadskas ◽  
Željko Stević ◽  
...  

Sustainable development is one of the most important preconditions for preserving resources and balanced functioning of a complete supply chain in different areas. Taking into account the complexity of sustainable development and a supply chain, different decisions have to be made day-to-day, requiring the consideration of different parameters. One of the most important decisions in a sustainable supply chain is the selection of a sustainable supplier and, often the applied methodology is multi-criteria decision-making (MCDM). In this paper, a new hybrid MCDM model for evaluating and selecting suppliers in a sustainable supply chain for a construction company has been developed. The evaluation and selection of suppliers have been carried out on the basis of 21 criteria that belong to all aspects of sustainability. The determination of the weight values of criteria has been performed applying the full consistency method (FUCOM), while a new rough complex proportional assessment (COPRAS) method has been developed to evaluate the alternatives. The rough Dombi aggregator has been used for averaging in group decision-making while evaluating the significance of criteria and assessing the alternatives. The obtained results have been checked and confirmed using a sensitivity analysis that implies a four-phase procedure. In the first phase, the change of criteria weight was performed, while, in the second phase, rough additive ratio assessment (ARAS), rough weighted aggregated sum product assessment (WASPAS), rough simple additive weighting (SAW), and rough multi-attributive border approximation area comparison (MABAC) have been applied. The third phase involves changing the parameter ρ in the modeling of rough Dombi aggregator, and the fourth phase includes the calculation of Spearman’s correlation coefficient (SCC) that shows a high correlation of ranks.


2022 ◽  
Vol 10 (1) ◽  
pp. 125-136 ◽  
Author(s):  
Mailasan Jayakrishnan ◽  
Abdul Karim Mohamad ◽  
Mokhtar Mohd Yusof

The features of a holistic view in an organization create the data value of the Business Intelligence (BI) and Knowledge Management (KM) in viewing the big picture of organizational performance diagnostics framework. This research focuses on the specific features of railway supply chain performance in viewing the decision-making process and creating better knowledge formation. The intention of the study is to structure supplier performance using BI-KM framework development to determine holistic perspective factors. The outcomes indicate that BI and KM significantly increased the railway supply chain and significantly increased the information system. This BI-KM framework relates the current analytic characteristics in designing the railway supply chain towards information system in determining the strategic theme of the decision-making process of the decision support system together with system features, characteristics of data, the content of the themes, and the effect of the decision-making process and for executive strategic performance diagnostics tool that provides effective strategic decision making in supply chain performance. The quantitative research method uses SmartPLS software version 3.2.8 for empirical analysis through distributing survey questionnaires to 320 railway suppliers in Malaysia. Using a model-driven development framework, to measure the implementation success of the decision support system, the study is conducted in the railway supplier focusing on strategic management that helps to make the decision and facilitate the organizational success.


Author(s):  
Hüseyin Selçuk KILIÇ

Due to the increasing competitiveness in every sector of business life, being effective in every process of the organizations has been required. At this point, one of the most important processes is supplier selection process within the concept of supply chain management. If a systematic supplier selection methodology is performed, it will be possible to select the most suitable supplier and provide efficiency with respect to time, quality and cost. With this study, depending on the vague structure of the real working environment, an extensively used multi criteria decision making methodology TOPSIS is used within fuzzy environment. The proposed technique is applied in a real case and the most suitable suppliers are determined and ranked.


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