Multi-criteria spherical fuzzy regret based evaluation of healthcare equipment stocks

2020 ◽  
Vol 39 (5) ◽  
pp. 5987-5997
Author(s):  
Sezi Cevik Onar ◽  
Cengiz Kahraman ◽  
Basar Oztaysi

The catastrophes due to widespread outbreaks create a long-standing distraction and have an accelerating transmission. The uncontrolled outbreaks cause not only health-related problems but also supply chain related problems. The outbreak caused by the coronavirus (COVID-19) shows how vulnerable the Healthcare systems and the supporting systems such as supply chains of the countries to such type of disasters. Keeping high levels of inventory, especially for healthcare products, can be beneficial to overcome such shortage problems. Nevertheless, keeping a high level of inventory can be costly, and the durability of the products creates a limit. The decision-makers have to carefully decide the inventory levels by considering many factors such as the criticality of the product and the easiness of producing the product. In this study, we try to develop a decision model for defining the inventory levels in Healthcare systems by considering multiple scenarios such as outbreaks. A novel spherical regret based multi-criteria decision-making approach is developed and used for evaluating the total regret of not keeping stock of the healthcare equipment.

2015 ◽  
Vol 105 (11-12) ◽  
pp. 849-855
Author(s):  
U. Bracht ◽  
W. Hinrichs-Stark

Um der steigenden Komplexität und Intransparenz in logistischen Lieferketten entgegenzuwirken, müssen Entscheidungsträger der operativen Ebene über Unternehmensgrenzen hinweg zusammenrücken. Business-Kollaborationsplattformen erlauben durch virtuelle Arbeitsräume und Chats eine effektive und intuitive Kollaboration innerhalb der Lieferkette. Auf diese Weise helfen sie, Entscheidungsprozesse zu beschleunigen.   In order to counteract the increasing complexity and lack of transparency in supply chains, decision makers from the operational level need to close ranks across company boundaries. Business collaboration platforms enable an effective and intuitive collaboration within the supply chain through the means of virtual workspaces and chats, thereby speeding up decision-making processes.


2019 ◽  
pp. 125-133
Author(s):  
Duong Truong Thi Thuy ◽  
Anh Pham Thi Hoang

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.


2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1054-1057
Author(s):  
Bindu Swetha Pasuluri ◽  
Anuradha S G ◽  
Manga J ◽  
Deepak Karanam

An unanticipated outburst of pneumonia of inexperienced in Wuhan, , China stated in December 2019. World health organization has recognized pathogen and termed it COVID-19. COVID-19 turned out to be a severe urgency in the entire world. The influence of this viral syndrome is now an intensifying concern. Covid-19 has changed our mutual calculus of ambiguity. It is more world-wide in possibility, more deeply , and much more difficult than any catastrophe that countries and organizations have ever faced. The next normal requires challenging ambiguity head-on and building it into decision-making. It is examined that every entity involved in running supply chains would require through major as employee, product, facility protocols, and transport would have to be in place. It is an urgent need of structuring to apply the lessons well-read for our supply chain setup. With higher managers now being aware of the intrinsic hazards in their supply chain, key and suggestions-recommendations will help to guide leader to commit to a newly planned, more consistent supply chain setup. Besides, the employees’ mental health is also a great concern.


Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2754 ◽  
Author(s):  
Indre Siksnelyte ◽  
Edmundas Zavadskas ◽  
Dalia Streimikiene ◽  
Deepak Sharma

The measurement of sustainability is actively used today as one of the main preventative instruments in order to reduce the decline of the environment. Sustainable decision-making in solving energy issues can be supported and contradictory effects can be evaluated by scientific achievements of multi-criteria decision-making (MCDM) techniques. The main goal of this paper is to overview the application of decision-making methods in dealing with sustainable energy development issues. In this study, 105 published papers from the Web of Science Core Collection (WSCC) database are selected and reviewed, from 2004 to 2017, related to energy sustainability issues and MCDM methods. All the selected papers were categorized into 9 fields by the application area and into 10 fields by the used method. After the categorization of the scientific articles and detailed analysis, SWOT analysis of MCDM approaches in dealing with sustainable energy development issues is provided. The widespread application and use of MCDM methods confirm that MCDM methods can help decision-makers in solving energy sustainability problems and are highly popular and used in practice.


2021 ◽  
Author(s):  
◽  
Edward Johnson

<p><b>The gold mining industry in Ghana is characterised by complexity in terms of its extended/sequential operations, its system-wide reach, its multiple stakeholders, and the variety of formal and informal organisations that constitute the industry. Perceptions of the industry differ considerably amongst stakeholders, depending on their stakes and interests, knowledge, understanding, involvement and agency within or without the sector. Studies of the industry to date have overlooked these diverse viewpoints and used limited-scope, single-frame analyses. However, they have highlighted wide-ranging industry issues that impact the diversity of stakeholders, which could benefit from a fuller and more comprehensive analysis.</b></p> <p>This study addresses this need by adopting a multi-framing systems-based approach. Data was examined and analysed through a variety of systems-based lenses and frames, including a stakeholder analysis (SA) frame, a causal loop modelling (CLM) frame, supply chain analysis (SCA) frame and the Theory of Constraints (TOC) Thinking Processes analytical frames lenses. First the Current Reality Tree (CRT) tool of the Theory of Constraints (TOC) was used to synthesise information from the literature examined, providing an initial provisional CRT model. Interview data was collected by sharing and seeking feedback to the CRT model at multiple levels of the industry, giving voice to stakeholders throughout the sector. Subsequent analysis used all the modelling frameworks mentioned above in a multi-framing analysis.</p> <p>In particular, the evaporating cloud (EC) tool from TOC was used to structure and develop potential solutions to conflict highlighted by the literature review, the SA, SCA and CLM. Building on this, a final CRT was developed, and a goal tree (GT) used to design the desired future whilst employing the future reality tree (FRT) to test the plausibility of solutions from the EC to deliver the desired future. The prerequisite tree (PRT) was then used to identify obstacles and intermediate objectives that must be overcome for successful transition to the desired future.</p> <p>Insights from the research shows a desire by multi-national large scale-gold mining companies and government alike to minimise adverse impacts and maximise the sector’s outcomes for key stakeholders, including those at the community level. However, the research has documented many instances of actions taken to address issues and improve outcomes that have instead resulted in unresolved dilemmas and paradoxes, failing to achieve desired outcomes.</p> <p>A number of factors have been identified as being responsible for these situations. Key amongst them is a limited understanding to deliver desired outcome for stakeholders without compromises, a focus on short-term goals, no collective effort, and arms-length/win-lose relationships amongst the Ghanaian stakeholders of the industry.</p> <p>The study’s concluding findings and results allow decision makers to benefit significantly from the study through its recommendations and showcasing of tools that may allow them to make sound decisions and address endogenous and exogenous cause-effect relationships limiting desirable outcomes from actions taken.</p> <p>Theoretical and knowledge-based contributions are made by conceptualising and offering evidence for three key factors or dimensions that can explain a significant number of issues limiting desirable outcomes for stakeholders of the gold mining industry. These include difficulty to transition from theory (espoused aims) to practice, a relative focus on local optima (silo thinking), poor monitoring (lack of evaluation), and a control culture. Methodological contributions are made by demonstrating the application of a multi-framing approach in a more organic and iterative manner as opposed to its use in a designed sequence, working down through layers of various systemic levels of an industry (in this case, the gold mining industry in Ghana). By so doing, the study builds on and extends the practicality of the multi-framing approach and stimulates further research in the field.</p> <p>In terms of its contribution to practice, the study provides Government, political and mining sector policy decision makers, and other interested actors, with a platform for understanding the sector in order to support their decision making about the industry to ultimately improve outcomes for key stakeholders. In particular, the study allows mining sector policy decision makers and other stakeholders to recognise complexity, uncertainty and conflicts that are embedded in the mining system and in their everyday decision-making activities about the industry. It also allows these stakeholders to become more aware that such issues can be addressed and improved by identifying and focusing on one or few underlying causes.</p> <p>This thesis draws on systems-based frameworks drawn both from functional management, for example, the supply chain and value chain frameworks of operations management and the stakeholder framework of strategic management, and from the broad domain of systems thinking (ST) and systems-based methodologies; and then focuses on the intersection of these frameworks in relation to the gold mining sector in Ghana. Due to the wide range of techniques applied, none are over-explored, creating potential for further research. On the other hand, with regard to explanations, depending on background, practitioners, and researchers familiar with some techniques may consider those sections over-explained. The researcher has sought a balance for the purpose of this study. Whilst limiting the scope of this work has been necessary in the context of doctoral study, topics ripe for future research are set out in the conclusion.</p>


2011 ◽  
Vol 267 ◽  
pp. 958-962
Author(s):  
Jiang Hong

In this paper, we set risk attitude into decision making research for the supply chain manage. We focus on the information management. We discuss the stable states and the stochastically stable distribution for the fake game in the supply chain. We find there always exist information fake behaviors of low-yield suppliers. And, the less risk averse suppliers are, the more information fake they use.


2019 ◽  
Vol 18 (02) ◽  
pp. 465-486 ◽  
Author(s):  
Ardalan Bafahm ◽  
Minghe Sun

The analytic hierarchy process (AHP) has been believed to be one of the most pragmatic and widely accepted methods for multi-criteria decision making. However, there have been various criticisms of this method within the last four decades. In this study, the results of AHP contradicting common expectations are examined for both the distributive and ideal modes. Specifically, conflicting priorities, conflicting decisions, and conflicting preference relations are investigated. A decision-making scenario is used throughout the paper and an illustrative example constructed from the decision-making scenario is provided to demonstrate each of the conflicting results recommended by AHP. With a parametric formulation of each unexpected result, the possibility of unexpected results of AHP is generalized irrespective of applying the distributive or ideal mode. The logic and causes of these contradictions are also analyzed. This study shows that AHP is not always reliable, and could lead the decision makers towards incorrect decisions.


Mekatronika ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 18-25
Author(s):  
Omar Ayasrah ◽  
Faiz Mohd Turan

The aim of this research is to develop a new multi-criteria decision-making method that integrates an intuitionistic fuzzy entropy measure and variable weight theory to be implemented in different fields to provide a solution for MCDM problems when the available information is incomplete. A limited number of studies have considered determining decision maker’s weights by performing objective techniques, and almost all of these researches detected a constant weights for the decision makers. In addition, most of the MCDM studies were not formulated to perform sensitivity analysis. The new method is based on the TOPSIS model with an intuitionistic fuzzy entropy measure in the exponential-related function form and the engagement of the variable weight theory to determine weights for the decision-makers that vary as per attibutes. Lastly, a mathematical model was developed in this research to be as an input for developing the mobile-aplication based method in future for virtual use of the new MCDM method.


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