Cong Shi

University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering

1205 Beal Avenue

Ann Arbor, MI 48109

United States

  • University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering

SCHOLARLY PAPERS

28

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Scholarly Papers (28)

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1.

More Bang for Your Buck: Effective Kol Marketing Campaign in Emerging Short-Video Markets

Number of pages: 36 Posted: 25 Aug 2020
Xingyu Chen, Li Ji, Ling Jiang, Sentao Miao and Cong Shi
Shenzhen University - Department of Marketing, Hong Kong Metropolitan University, York University, University of Colorado Boulder and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 1,207 (29,266)
Citation 1

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Social Media; Key Opinion Leaders; Advertising Campaigns; Multi-Nomial Logit Model; Selection; Scheduling

2.

Process Flexibility for Multi-Period Production Systems

Number of pages: 64 Posted: 05 Sep 2015 Last Revised: 19 Nov 2022
Cong Shi, Yehua Wei and Yuan Zhong
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, Decision Sciences Area, Fuqua School of Business, Duke University and University of Chicago - Booth School of Business
Downloads 880 (45,704)
Citation 11

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process flexibility, flexible production, multi-period, capacity planning, chaining condition

3.

Joint Pricing and Inventory Management with Strategic Customers

Number of pages: 61 Posted: 28 Apr 2016 Last Revised: 21 Nov 2022
Yiwei Chen and Cong Shi
Temple University - Fox School of Business and Management and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 854 (47,756)
Citation 6

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joint pricing and inventory control, strategic customers, optimal policy, mechanism design

4.

Marrying Stochastic Gradient Descent with Bandits: Learning Algorithms for Inventory Systems with Fixed Costs

Number of pages: 47 Posted: 07 Mar 2019 Last Revised: 06 Aug 2020
Hao Yuan, Qi Luo and Cong Shi
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, Clemson University, Department of Industrial Engineering and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 695 (62,887)
Citation 13

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inventory, fixed costs, censored demand, nonparametric, learning algorithms, regret analysis

5.

Online Learning and Pricing for Service Systems with Reusable Resources

Number of pages: 70 Posted: 18 Feb 2021 Last Revised: 08 Nov 2022
Huiwen Jia, Cong Shi and Siqian Shen
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 693 (63,108)

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learning, pricing, reusable resources, service systems, multi-armed bandit, coupling analysis

6.

Nonparametric Learning Algorithms for Joint Pricing and Inventory Control with Lost-Sales and Censored Demand

Number of pages: 44 Posted: 10 Sep 2016 Last Revised: 09 Oct 2020
Boxiao Chen, Xiuli Chao and Cong Shi
University of Illinois at Chicago - College of Business Administration, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 627 (71,706)
Citation 5

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algorithm, joint pricing and inventory control, lost-sales, censored demand, nonparametric

7.

Offline Feature-Based Pricing under Censored Demand: A Causal Inference Approach

Number of pages: 55 Posted: 28 Mar 2022 Last Revised: 20 Jun 2023
Jingwen Tang, Zhengling Qi, Ethan Fang and Cong Shi
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, George Washington University - School of Business, Duke University - Department of Biostatistics and Bioinformatics and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 542 (86,226)

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offline learning, feature-based pricing, demand censoring, causal inference, regret analysis

8.

Network Revenue Management with Online Inverse Batch Gradient Descent Method

Number of pages: 57 Posted: 26 Feb 2019 Last Revised: 31 Mar 2022
Yiwei Chen and Cong Shi
Temple University - Fox School of Business and Management and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 542 (86,041)
Citation 4

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revenue management, network, dynamic pricing, nonparametric, online learning, stochastic gradient descent, asymptotic optimality

9.

Closing the Gap: A Learning Algorithm for the Lost-Sales Inventory System with Lead Times

Number of pages: 45 Posted: 26 Feb 2017 Last Revised: 06 Oct 2018
Huanan Zhang, Xiuli Chao and Cong Shi
University of Colorado at Boulder - Leeds School of Business, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 500 (94,990)
Citation 16

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inventory, lost-sales, lead time, base-stock policy, censored demand, nonparametric, learning algorithms, regret analysis

10.

Partner with a Third-Party Delivery Service or Not? -- a Prediction-and-Decision Tool for Restaurants Facing Takeout Demand Surges During a Pandemic

Number of pages: 28 Posted: 23 Nov 2020 Last Revised: 28 Oct 2021
Huiwen Jia, Siqian Shen, Jorge Alberto Ramırez Garcıa and Cong Shi
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, Universidad de Monterrey (UDEM) and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 443 (109,735)

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on-demand grocery or food delivery, demand uncertainty, Susceptible-Infected-Recovered (SIR) model, auto-regressive-moving-average (ARMA), stochastic integer programming

11.

Integrating Empirical Estimation and Assortment Personalization for E-Commerce: A Consider-Then-Choose Model

Number of pages: 38 Posted: 07 Oct 2018 Last Revised: 14 Mar 2019
Maggie (Manqi) Li, Xiang Liu, Yan Huang and Cong Shi
Renmin University of China - School of Business, Tsinghua University - Department of Industrial Engineering, Carnegie Mellon University - David A. Tepper School of Business and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 441 (110,288)
Citation 2

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e-commerce, consider-then-choose, consideration set, assortment planning

12.

Tailored Base-Surge Policies in Dual-Sourcing Inventory Systems with Demand Learning

Number of pages: 66 Posted: 27 Sep 2019 Last Revised: 29 Jun 2021
Boxiao Chen and Cong Shi
University of Illinois at Chicago - College of Business Administration and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 410 (120,133)
Citation 8

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inventory, dual-sourcing, censored demand, nonparametric, learning, regret analysis

13.

Service Level Constrained Inventory Systems

Number of pages: 40 Posted: 05 Aug 2016 Last Revised: 24 Apr 2019
Yuchen Jiang, Cong Shi and Siqian Shen
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 326 (154,819)
Citation 1

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inventory; service level; ready rate; fill rate; remanufacturing; approximation algorithms

14.

Online Advance Scheduling with Overtime: A Primal-Dual Approach

Number of pages: 43 Posted: 05 Apr 2019 Last Revised: 26 May 2019
Esmaeil Keyvanshokooh, Cong Shi and Mark P. Van Oyen
Department of Information & Operations Management, Mays Business School, Texas A&M University, College Station, TX, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor
Downloads 266 (191,244)

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advance scheduling; online resource allocation; online algorithms; competitive analysis

15.

Optimal Content Strategies for Social Media Influencers on Streaming Video Platforms

Number of pages: 38 Posted: 25 Aug 2020 Last Revised: 03 Oct 2022
Xingyu Chen, Ling Jiang, Sentao Miao and Cong Shi
Shenzhen University - Department of Marketing, York University, University of Colorado Boulder and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 234 (216,915)
Citation 1

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social media influencer, content strategy, Markov decision process, matrix completion, optimal policy, streaming video

16.

Online Learning for Constrained Assortment Optimization under Markov Chain Choice Model

Number of pages: 52 Posted: 20 Apr 2022 Last Revised: 05 Apr 2023
Shukai Li, Qi Luo, Zhiyuan Huang and Cong Shi
Northwestern University - Department of Industrial Engineering and Management Sciences, Clemson University, Department of Industrial Engineering, Tongji University - School of Economics and Management and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 229 (221,515)

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online learning, assortment planning, Markov chain choice model, capacity, regret analysis

17.

Online Learning and Matching for Multiproduct Systems with General Upgrading

Number of pages: 42 Posted: 11 Feb 2022 Last Revised: 13 Mar 2023
Jingwen Tang, Cong Shi and Izak Duenyas
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan, Stephen M. Ross School of Business
Downloads 227 (223,396)
Citation 1

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multiproduct; ordering; allocation; general upgrading; online learning; censored demand

18.

Strategic Capacity Planning Problems in Revenue Sharing Joint Ventures

Number of pages: 40 Posted: 24 Mar 2017 Last Revised: 30 Jun 2019
Retsef Levi, Georgia Perakis, Cong Shi and Wei Sun
MIT Sloan School of Management - Operations Research Center, Massachusetts Institute of Technology (MIT) - Sloan School of Management, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and IBM Corporation - Thomas J. Watson Research Center
Downloads 225 (225,290)
Citation 1

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capacity planning; joint venture; revenue sharing; game theory; efficiency; coordination

19.

Optimal Learning Algorithms for Stochastic Inventory Systems with Random Capacities

Number of pages: 42 Posted: 02 Dec 2018 Last Revised: 10 Feb 2020
Weidong Chen, Cong Shi and Izak Duenyas
University of Michigan at Ann Arbor, College of Engineering, Department of Industrial and Operations Engineering, Students, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan, Stephen M. Ross School of Business
Downloads 207 (243,374)
Citation 3

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inventory, random capacity, online learning algorithms, regret analysis

20.

Online Resource Allocation with Personalized Learning

Number of pages: 64 Posted: 10 Mar 2020 Last Revised: 01 Mar 2022
Mohammad Zhalechian, Esmaeil Keyvanshokooh, Cong Shi and Mark P. Van Oyen
Kelley School of Business, Indiana University, Department of Information & Operations Management, Mays Business School, Texas A&M University, College Station, TX, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor
Downloads 192 (261,850)

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online learning; online resource allocation; contextual bandit; regret analysis; advance scheduling; personalized healthcare services

21.

Online Learning and Pricing for Multiple Products with Reference Price Effects

Number of pages: 44 Posted: 08 Feb 2023 Last Revised: 12 Apr 2023
Sheng Ji, Yi Yang and Cong Shi
School of Management, Zhejiang University, School of Management, Zhejiang University and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 178 (278,693)

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online learning, pricing, reference price effect, multiple products, revenue management, multi-armed bandit

22.

Perishable Inventory Problems: Convexity Results for Base-Stock Policies and Learning Algorithms Under Censored Demand

Forthcoming in Operations Research
Number of pages: 33 Posted: 20 Dec 2017
Huanan Zhang, Xiuli Chao and Cong Shi
University of Colorado at Boulder - Leeds School of Business, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 145 (331,114)
Citation 5

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inventory, perishable products, base-stock policy, censored demand, learning algorithms

23.

Online Learning and Pricing for Network Revenue Management with Reusable Resources

Number of pages: 28 Posted: 30 Sep 2022 Last Revised: 23 Oct 2022
Huiwen Jia, Cong Shi and Siqian Shen
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 141 (338,513)

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online learning; pricing; bandits; network revenue management; queueing network; mixing times

24.

Multi-armed Bandit with Sub-exponential Rewards

Number of pages: 14 Posted: 21 Sep 2021
Huiwen Jia, Cong Shi and Siqian Shen
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 97 (444,545)

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multi-armed bandit, unbounded reward, sub-exponential reward, upper confidence bound

25.

Production Planning Problems with Joint Service-Level Guarantee: A Computational Study

Number of pages: 33 Posted: 03 Nov 2022
Yuchen Jiang, Juan Xu, Siqian Shen and Cong Shi
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, affiliation not provided to SSRN, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 77 (512,240)

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production planning, stochastic programming, mixed integer linear programming, joint service-level constraint, sample average approximation

26.

Online Learning for Dual Index Policies in Dual Sourcing Systems

Number of pages: 43 Posted: 29 Jun 2022 Last Revised: 20 Mar 2023
Jingwen Tang, Boxiao Chen and Cong Shi
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Illinois at Chicago - College of Business Administration and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 72 (531,952)

Abstract:

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inventory, dual sourcing, dual index policy, learning, bandits, sample average approximation

27.

Data-driven Hospital Admission Control: A Learning Approach

Mohammad Zhalechian, Esmaeil Keyvanshokooh, Cong Shi, Mark P. Van Oyen (2023) Data-Driven Hospital Admission Control: A Learning Approach. Operations Research 0(0).
Number of pages: 54 Posted: 18 Aug 2020 Last Revised: 13 Aug 2023
Mohammad Zhalechian, Esmaeil Keyvanshokooh, Cong Shi and Mark P. Van Oyen
Kelley School of Business, Indiana University, Department of Information & Operations Management, Mays Business School, Texas A&M University, College Station, TX, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor
Downloads 44 (670,437)

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online learning, contextual bandit, regret analysis, readmission, data-driven admission control

28.

Contextual Learning with Online Convex Optimization: Theory with Application to Medical Decision-Making

Posted: 31 Dec 2019 Last Revised: 13 Jun 2023
Esmaeil Keyvanshokooh, Mohammad Zhalechian, Cong Shi, Mark P. Van Oyen and Pooyan Kazemian
Department of Information & Operations Management, Mays Business School, Texas A&M University, College Station, TX, Kelley School of Business, Indiana University, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor and Department of Operations, Weatherhead School of Management, Case Western Reserve University, Cleveland, OH

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online learning algorithms, regret analysis, contextual bandit, stochastic sub-gradient descent, personalized medicine, medical decision-making