About

Professor Mark S. Daskin is a Clyde W. Johnson Collegiate Professor Emeritus at the University of Michigan's Department of Industrial & Operations Engineering. He received his Bachelor of Science in Civil Engineering from MIT, completed a certificate of post-graduate study in engineering at Cambridge University, and earned his Ph.D. from MIT. His research focuses on the application of operations research techniques to problems in transportation, supply chain management, facility location modeling, and healthcare. He has served as the editor-in-chief of both Transportation Science and IIE Transactions, was the president of INFORMS in 2006, and has held leadership roles including chair of the Department of Industrial Engineering and Management Sciences at Northwestern University. Professor Daskin is a fellow of both INFORMS and the Institute of Industrial Engineers, and has received numerous awards for his service and research contributions, including the Fred C. Crane Award for Distinguished Service and the Institute’s Technical Innovation Award. His work encompasses analytics, data analytics applications, healthcare operations, quality improvement, manufacturing, service systems, transportation, urban sustainability, and resilience, with a particular emphasis on optimization, stochastic systems, and supply chain network design.

Research topics

• Computer science
• Mathematical optimization
• Operations research
• Business
• Mathematics

Selected publications

• The benefits (or detriments) of adapting to demand disruptions in a hospital pharmacy with supply chain disruptions

  Health Care Management Science · 2024-09-24 · 5 citations

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• Complexity analysis of air traffic based on complex networks under TBO mode

  Journal of applied artificial intelligence. · 2024-10-18

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  Since the complex network constructed according to the unified separation standard does not take into account the differences in the operation of aircraft types, it cannot meet the refined requirements of air traffic complexity analysis under trajectory based operation (TBO). To solve this problem, an air traffic complexity analysis model based on complex networks to distinguish different aircraft types is proposed. Firstly, a calculation model for lateral flight safety intervals of different aircraft types is established, an aircraft precise protection zone is constructed, and the basis for determining the aircraft connection in the flight conflict network is optimized. On the basis of considering information such as aircraft heading and speed, flight conflict judgment pays attention to the different performance and status of aircraft, so that the flight conflict network can be closer to the operation mode of TBO. Through experimental simulation of the TBO operation environment and verification using radar data from Gaoqi Airport, the results show that compared with the previous flight conflict network, the model can refine the horizontal separation standards between aircraft, reduce the complexity of the airspace, reduce the workload of controllers, and improve the operation efficiency of the airspace, and provide more space for aircraft to autonomously select the optimal trajectory.

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• The tradeoff between maximizing expected profit and minimizing the maximum regret in the newsvendor problem

  Annals of Operations Research · 2024-10-08 · 2 citations

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• Closed-form (R,S) inventory policies for perishable inventory systems with supply chain disruptions

  INFOR Information Systems and Operational Research · 2023-07-03 · 6 citations

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  Hospital pharmacy managers make inventory decisions for thousands of different perishable drugs. Commonly, these managers do not have the resources to implement advanced mathematical models. Closed-form solutions are attractive because they provide the inventory policy quickly and are easy to implement. However, when deriving these solutions, one must consider that pharmaceutical supply chains experience disruptions. We first derive closed-form solutions for a non-perishable lost-sales (R,S) periodic review inventory system with supply chain disruptions. We then extend the solutions to incorporate perishability and apply the solutions to a hospital pharmacy inventory system. We find that (i) it is important to account for perishability and supply chain disruptions simultaneously as only accounting for supply chain disruptions increases both drug shortages [possible 65% increase] and waste [possible waste equivalent to 50% of the daily demand], (ii) it is critical to consider the duration of and time between supply chain disruptions, (iii) the expected number of shortages is insensitive to changes in the standard deviation when demand is normally distributed, but for short expiration lifetimes, the expected number wasted increases linearly as the standard deviation of demand increases, and (iv) not accurately depicting the supply chain disruption process can triple the number of shortages.

  PublisherDOI

• Examining Option and Dual Supplier Strategies for Multi-Stage Stochastic Problems Under Demand Uncertainty and Supplier Disruptions

  SSRN Electronic Journal · 2023-01-01

  preprintOpen access
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• When is it worth it for two hospital network pharmacies to operate as an integrated inventory system in the presence of supply chain disruptions?

  IISE Transactions on Healthcare Systems Engineering · 2023-10-03 · 2 citations

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  Hospital pharmacies stock perishable drugs that experience supply chain disruptions. A potential solution to alleviate the negative effects of shortages caused by these disruptions is lateral transshipments (i.e., sharing of inventory; integrated inventory system) between hospital network pharmacies with independent suppliers. However, it is unclear when it is beneficial to operate as an integrated inventory system. We create a modeling framework to solve for the integrated inventory policies in a two-hospital network pharmacy inventory system. We find that (i) to benefit from an integrated inventory system, the lateral transshipment cost must be sufficiently less than the shortage cost; sufficiently largely influenced by the duration of and time between supply chain disruptions. We find (ii) hospital network pharmacies need to consider the duration of and time between supply chain disruptions when selecting a hospital network pharmacy with which to share inventory. The integrated inventory policies demonstrate that perishable inventory systems with supply chain disruptions may benefit from sharing inventory. In our hospital network pharmacy setting, this contradicts the strict regulations in current practice that generally prohibit hospital network pharmacies from sharing drugs or make it very difficult for hospital network pharmacies to stay compliant when sharing drugs outside of their network.

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• Pharmaceutical supply chain reliability and effects on drug shortages

  Computers & Industrial Engineering · 2022-05-27 · 49 citations

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• An optimization-based model for designing and evaluating transit fare policies

  2022-05-03 · 1 citations

  articleOpen access1st authorCorresponding

  To support transit agencies in the design and evaluation of more efficient and more equitable fare structures, an optimization-based model system has been developed and implemented on a microcomputer. This system seeks distance-based fares in the form: FIXED CHARGE plus (MILEAGE CHARGE) (trip distance) plus (TRANSFER CHARGE) (number of transfers). It maximizes estimated revenues subject to a minimum ridership constraint and constraints on the attributes of the fare structure. The latter provides the user with considerable control over the structure of the optimal fare, such that distance-based, zone, and flat fare schemes can be designed and tested. Required inputs include zone-to-zone trip tables, trip distances, number of transfers, initial fare structure, and system-wide price elasticity. Outputs include revenue, ridership, fare structure, and changes in key evaluation measures relative to the base case. If data permit, analyses can be conducted by market segments to develop diffential fares. This model can be used to search for fare schemes meeting user-specified requirements, to perform sensitivity studies of fare characteristics, and to test user supplied price structures. The model is implemented on the IBM Personal Computer and is highly interactive. Associated software supports data coding, output plotting on a dot matrix printer, and user training.

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• Solving Queueing Equations Numerically and Simulating the Performance of a Queue

  Synthesis lectures on operations research and applications · 2021-01-01

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• Minimizing the Average Distance to a Facility

  Synthesis lectures on operations research and applications · 2021-01-01

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Recent grants

• Collaborative Research: Optimizing the Supply Chain for Cost and Carbon Footprint

  NSF · $187k · 2010–2013

• Risk Management in Supply Chain Design and Operations

  NSF · $350k · 2005–2009

Frequent coauthors

• Kayse Lee Maass

  Northeastern University

  10 shared

• Lawrence Snyder

  Lehigh University

  10 shared

• Sanjay Mehrotra

  9 shared

• Amy M. Cohn

  University of Oklahoma Health Sciences Center

  8 shared

• Susan Hesse Owen

  General Motors (Poland)

  8 shared

• Ali Haghani

  University of Maryland, College Park

  8 shared

• Achal Bassamboo

  7 shared

• F. Jacob Seagull

  University of Michigan–Ann Arbor

  7 shared

Education

• PhD, Civil Engineering

  Massachusetts Institute of Technology

  1978

• Certificate of Post-Graduate Study in Engineering, Engineering

  University of Cambridge

  1975

• BSCE, Civil Engineering

  Massachusetts Institute of Technology

  1974

Awards & honors

• INFORMS Section on Location Analysis Lifetime Achievement Aw…
• Institute of Industrial Engineers David F. Baker Award Disti…
• Institute of Industrial Engineers Joint Publishers Book of t…
• George E. Kimball Medal , INFORMS (2009)
• Institute of Industrial Engineers Fellow Award (2006)