Michael Pinedo

Michael Pinedo

New York University

H-index: 49

North America-United States

About Michael Pinedo

Michael Pinedo, With an exceptional h-index of 49 and a recent h-index of 25 (since 2020), a distinguished researcher at New York University, specializes in the field of planning and scheduling, operations in financial services.

His recent articles reflect a diverse array of research interests and contributions to the field:

Minimizing the Number of Tardy Jobs and Maximal Tardiness on a Single Machine is NP-hard

Bicriteria two-machine flowshop scheduling: approximation algorithms and their limits

Rescheduling for new orders on a single machine with rejection

Distributional robustness and inequity mitigation in disaster preparedness of humanitarian operations

Iterated Greedy Constraint Programming for Scheduling Steelmaking Continuous Casting

Approximation algorithms for bicriteria scheduling problems on identical parallel machines for makespan and total completion time

Erratum to “Competitive Two-Agent Scheduling and Its Applications”

Service Science Editorial Board, 2023

Michael Pinedo Information

University

Position

Julius Schlesinger Professor of Operations Management Stern School of Business

Citations(all)

22822

Citations(since 2020)

5568

Cited By

19350

hIndex(all)

49

hIndex(since 2020)

25

i10Index(all)

135

i10Index(since 2020)

70

Email

University Profile Page

Google Scholar

Michael Pinedo Skills & Research Interests

planning and scheduling

operations in financial services

Top articles of Michael Pinedo

Minimizing the Number of Tardy Jobs and Maximal Tardiness on a Single Machine is NP-hard

arXiv preprint arXiv:2404.02784

2024/4/3

Bicriteria two-machine flowshop scheduling: approximation algorithms and their limits

Journal of Scheduling

2024/2

Rescheduling for new orders on a single machine with rejection

European Journal of Operational Research

2012/11/16

Distributional robustness and inequity mitigation in disaster preparedness of humanitarian operations

Manufacturing & Service Operations Management

2024/1

Iterated Greedy Constraint Programming for Scheduling Steelmaking Continuous Casting

2023/5/23

Approximation algorithms for bicriteria scheduling problems on identical parallel machines for makespan and total completion time

European Journal of Operational Research

2023/3/1

Erratum to “Competitive Two-Agent Scheduling and Its Applications”

Operations Research

2023/12/14

Christos Koulamas
Christos Koulamas

H-Index: 16

Michael Pinedo
Michael Pinedo

H-Index: 26

A Constraint Programming based Iterated Greedy Framework for Scheduling Steelmaking Continuous Casting Process

대한산업공학회 추계학술대회 논문집

2023/11

Circular Balancing Problem

대한산업공학회 추계학술대회 논문집

2023/11

A critical review of planning and scheduling in steel-making and continuous casting in the steel industry

2023/10/9

Flow shops and flexible flow shops (deterministic)

2022/12/14

Planning and scheduling in healthcare for better care coordination: Current understanding, trending topics, and future opportunities

2022/12

Michael Pinedo
Michael Pinedo

H-Index: 26

Tight approximation bounds for the LPT rule applied to identical parallel machines with small jobs

Journal of Scheduling

2022/12

Modeling and data analytics in manufacturing and supply chain operations

Flexible Services and Manufacturing Journal

2022/6

A general scheme for solving a large set of scheduling problems with rejection in FPT time

Journal of Scheduling

2022/4

Michael Pinedo
Michael Pinedo

H-Index: 26

On the optimality of the earliest due date rule in stochastic scheduling and in queueing

European Journal of Operational Research

2022/4/1

Peter Lakner
Peter Lakner

H-Index: 8

Michael Pinedo
Michael Pinedo

H-Index: 26

An iterated greedy matheuristic for scheduling in steelmaking-continuous casting process

International Journal of Production Research

2022/1/17

Fairness in Repetitive Scheduling

arXiv e-prints

2021/12

Rolf Niedermeier
Rolf Niedermeier

H-Index: 33

Michael Pinedo
Michael Pinedo

H-Index: 26

A combinatorial Benders decomposition algorithm for parallel machine scheduling with working-time restrictions

European Journal of Operational Research

2021/5/16

See List of Professors in Michael Pinedo University(New York University)

Co-Authors

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