What is she best known for?
The fields of study she is best known for:
- Management
- Statistics
- Marketing
Her scientific interests lie mostly in Analytic hierarchy process, Supply chain, Risk analysis, Project management triangle and Risk management plan.
Her Analytic hierarchy process research includes themes of Pipeline transport, Pipeline, Supplier evaluation and Civil engineering.
Prasanta Kumar Dey has included themes like Quality, Data envelopment analysis, Lagging and Total cost in her Supplier evaluation study.
Her Supply chain study combines topics from a wide range of disciplines, such as Performance measurement, Quality function deployment and Process management.
Her study looks at the intersection of Risk analysis and topics like Risk analysis with Project planning, Cost contingency, Decision support system and Management science.
Her Supply chain management research is multidisciplinary, relying on both Empirical research and Business economics.
Her most cited work include:
- Multi-criteria decision making approaches for supplier evaluation and selection: A literature review (1528 citations)
- Green supply chain performance measurement using fuzzy ANP-based balanced scorecard: a collaborative decision-making approach (159 citations)
- A review of multi-criteria decision-making methods for bioenergy systems (125 citations)
What are the main themes of her work throughout her whole career to date?
Prasanta Kumar Dey focuses on Analytic hierarchy process, Process management, Project management, Supply chain and Operations management.
In her research, Prasanta Kumar Dey performs multidisciplinary study on Analytic hierarchy process and Selection.
She combines subjects such as Business process reengineering and Business process with her study of Process management.
Her work on Project management triangle and Project portfolio management is typically connected to Software project management as part of general Project management study, connecting several disciplines of science.
She has researched Supply chain in several fields, including Structural equation modeling, Environmental economics and Industrial organization.
Her Operations management research focuses on Health care and how it relates to Quality.
She most often published in these fields:
- Analytic hierarchy process (25.11%)
- Process management (19.28%)
- Project management (20.18%)
What were the highlights of her more recent work (between 2015-2021)?
- Industrial organization (8.97%)
- Supply chain (16.14%)
- Data envelopment analysis (5.38%)
In recent papers she was focusing on the following fields of study:
Her main research concerns Industrial organization, Supply chain, Data envelopment analysis, Environmental economics and Structural equation modeling.
Her biological study spans a wide range of topics, including Business process, Competitive advantage, Service level and Process management.
Her Data envelopment analysis study incorporates themes from Production, Queue, Queueing theory, Queue management system and Integer programming.
Her Environmental economics study integrates concerns from other disciplines, such as Performance measurement and Demand curve.
The Reliability study combines topics in areas such as Quality function deployment, Management science and Analytic hierarchy process.
Her Analytic hierarchy process study combines topics in areas such as Higher education and Scope.
Between 2015 and 2021, her most popular works were:
- Optimal design of the renewable energy map of Greece using weighted goal-programming and data envelopment analysis (41 citations)
- Non-stationary stochastic inventory lot-sizing with emission and service level constraints in a carbon cap-and-trade system (37 citations)
- Estimation of computer waste quantities using forecasting techniques (34 citations)
In her most recent research, the most cited papers focused on:
- Management
- Statistics
- Marketing
Her primary scientific interests are in Industrial organization, Data envelopment analysis, Structural equation modeling, Environmental economics and Supply chain.
Her study in Data envelopment analysis is interdisciplinary in nature, drawing from both Competition, Public hospital, Higher education, Queue management system and Performance measurement.
Her studies deal with areas such as Queue, Benchmarking, Queueing theory and Health informatics as well as Performance measurement.
Her study on Structural equation modeling also encompasses disciplines like
- Corporate social responsibility, which have a strong connection to Lean manufacturing, Process and Turnover,
- Manufacturing that intertwine with fields like Ecodesign, Reliability, Ranking and Risk analysis,
- Balanced scorecard most often made with reference to Supply chain sustainability.
Her Environmental economics research includes elements of Energy engineering, Market demand schedule, Energy accounting and Goal programming.
Her Supply chain research incorporates themes from Microeconomics, Demand curve and Focus group.
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