2017 - Member of the National Academy of Engineering For leadership and creative contributions to location optimization and its application to industrial, service, and medical systems.
2004 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)
Mark S. Daskin focuses on Mathematical optimization, Operations research, Facility location problem, Integer programming and Algorithm. The various areas that Mark S. Daskin examines in his Mathematical optimization study include Location model and Key. His Operations research research incorporates elements of Strategic planning, Service and Relaxation.
His research integrates issues of Network planning and design and Expected cost in his study of Facility location problem. His Expected cost research includes themes of Supply chain and Reliability. His work deals with themes such as Fixed cost, Mathematical model and Microsoft Office, which intersect with Algorithm.
His scientific interests lie mostly in Mathematical optimization, Operations research, Facility location problem, Operations management and Integer programming. His Mathematical optimization study incorporates themes from Algorithm, Computation and Set. In the subject of general Operations research, his work in Inventory control is often linked to Schedule, thereby combining diverse domains of study.
His Facility location problem research focuses on subjects like Location model, which are linked to Total cost. Mark S. Daskin has included themes like Supply chain and Service in his Operations management study. He combines topics linked to Mathematical model with his work on Integer programming.
His primary scientific interests are in Operations research, Operations management, Facility location problem, Kidney transplantation and Mathematical optimization. The Operations research study combines topics in areas such as Quality, Scheduling, Humanitarian Logistics and Flexibility. His Facility location problem study combines topics from a wide range of disciplines, such as Variety, Location model and Finance.
The concepts of his Location model study are interwoven with issues in Network planning and design, Reliability, State, Set and Taxonomy. His Kidney transplantation study integrates concerns from other disciplines, such as Actuarial science, Logistic regression and Quality of life. Mark S. Daskin specializes in Mathematical optimization, namely Integer programming.
Mark S. Daskin mainly focuses on Facility location problem, Mathematical optimization, Operations research, Supply chain and Estimation. His biological study spans a wide range of topics, including Total cost, Location model, Simulation and Econometrics. Mark S. Daskin combines subjects such as Theory of computation and Robustness with his study of Mathematical optimization.
He integrates Operations research with Emergency relief in his research. In general Supply chain study, his work on Service management often relates to the realm of Carbon footprint, thereby connecting several areas of interest. Among his research on Estimation, you can see a combination of other fields of science like Overtime, Operations management, Staffing, Nurse scheduling problem and Intensive care.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Network and Discrete Location: Models, Algorithms, and Applications
Mark S. Daskin.
Strategic facility location: A review
Susan Hesse Owen;Mark S. Daskin.
European Journal of Operational Research (1998)
Carbon Footprint and the Management of Supply Chains: Insights From Simple Models
Saif Benjaafar;Yanzhi Li;M. Daskin.
IEEE Transactions on Automation Science and Engineering (2013)
A Maximum Expected Covering Location Model: Formulation, Properties and Heuristic Solution
Mark S. Daskin.
Transportation Science (1983)
A Joint Location-Inventory Model
Zuo-Jun Max Shen;Collette Coullard;Mark S. Daskin.
Reliability Models for Facility Location: The Expected Failure Cost Case
Lawrence V. Snyder;Mark S. Daskin.
Transportation Science (2005)
An inventory-location model: Formulation, solution algorithm and computational results
Mark S. Daskin;Collette R. Coullard;Zuo Jun Max Shen.
A bibliography for some fundamental problem categories in discrete location science
Charles S. Revelle;Horst A. Eiselt;Mark S. Daskin.
A Hierarchical Objective Set Covering Model for Emergency Medical Service Vehicle Deployment
Mark S. Daskin;Edmund H. Stern.
Transportation Science (1981)
Time Dependent Vehicle Routing Problems: Formulations, Properties and Heuristic Algorithms
Chryssi Malandraki;Mark S. Daskin.
Transportation Science (1992)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: