Cong Shi

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

1205 Beal Avenue

Ann Arbor, MI 48109

United States

SCHOLARLY PAPERS

25

DOWNLOADS
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Top 9,087

in Total Papers Downloads

7,310

SSRN CITATIONS
Rank 17,520

SSRN RANKINGS

Top 17,520

in Total Papers Citations

38

CROSSREF CITATIONS

23

Scholarly Papers (25)

1.

Process Flexibility for Multi-Period Production Systems

Number of pages: 64 Posted: 05 Sep 2015 Last Revised: 23 Jul 2018
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 816 (42,271)
Citation 8

Abstract:

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

2.

Joint Pricing and Inventory Management with Strategic Customers

Number of pages: 62 Posted: 28 Apr 2016 Last Revised: 16 Aug 2018
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 815 (42,339)
Citation 6

Abstract:

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

3.

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

Number of pages: 36 Posted: 25 Aug 2020
Shenzhen University - Department of Marketing, Shenzhen University - Department of Marketing, Shenzhen University - Department of Marketing, McGill University - Desautels Faculty of Management and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 802 (43,410)
Citation 1

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

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 531 (73,703)
Citation 1

Abstract:

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

5.

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 509 (77,602)
Citation 5

Abstract:

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

6.

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 431 (94,554)
Citation 16

Abstract:

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

7.

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 383 (108,393)
Citation 4

Abstract:

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

8.

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
University of Michigan, Stephen M. Ross 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 378 (109,993)
Citation 1

Abstract:

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

9.

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
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 362 (115,454)

Abstract:

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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

10.

Online Learning and Pricing for Service Systems with Reusable Resources

Number of pages: 57 Posted: 18 Feb 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 328 (128,578)

Abstract:

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pricing, reusable resources, service systems, demand learning, multi-armed bandit

11.

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 305 (138,840)

Abstract:

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

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 277 (153,202)
Citation 8

Abstract:

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

13.

Online Advance Scheduling with Overtime: A Primal-Dual Approach

Number of pages: 43 Posted: 05 Apr 2019 Last Revised: 26 May 2019
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 212 (198,528)

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

14.

Strategic Capacity Planning Problems in Revenue Sharing Joint Ventures

Number of pages: 40 Posted: 24 Mar 2017 Last Revised: 30 Jun 2019
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 195 (214,277)
Citation 1

Abstract:

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

15.

Offline Personalized Pricing with Censored Demand

Number of pages: 39 Posted: 28 Mar 2022
George Washington University - School of Business, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, Duke University - Department of Biostatistics and Bioinformatics and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 166 (246,104)

Abstract:

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offline learning, personalized pricing, demand censoring, causal inference, regret analysis

16.

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 163 (249,912)
Citation 3

Abstract:

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inventory, random capacity, online learning algorithms, regret analysis

17.

Time to Leave Your Comfort Zone? Optimal Variation-Seeking Strategies for Social Media Influencers on Streaming Media Platforms

Number of pages: 34 Posted: 25 Aug 2020
Shenzhen University - Department of Marketing, Shenzhen University - Department of Marketing, McGill University - Desautels Faculty of Management and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 161 (252,555)
Citation 1

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Social Media Influencer; Variation-Seeking; Markov Decision Process; Matrix Completion; Optimal Policy; Streaming Media

18.

Online Learning and Matching for Multiproduct Systems with General Upgrading

Number of pages: 50 Posted: 11 Feb 2022
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 125 (307,899)

Abstract:

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

19.

Online Resource Allocation with Personalized Learning

Number of pages: 64 Posted: 10 Mar 2020 Last Revised: 01 Mar 2022
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, 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 118 (320,924)

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

20.

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 110 (337,042)
Citation 5

Abstract:

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

21.

Online Learning for Constrained Assortment Optimization under Markov Chain Choice Model

Number of pages: 43 Posted: 20 Apr 2022
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 86 (394,547)

Abstract:

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

22.

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 37 (582,939)

Abstract:

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

23.

Online Learning for Dual Index Policies in Dual Sourcing Systems

Posted: 29 Jun 2022
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

Abstract:

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

24.

Personalized Hospital Admission Control: A Contextual Learning Approach

Posted: 18 Aug 2020
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, 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

Abstract:

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online learning, contextual bandit, regret analysis, readmission, personalized admission control

25.

Contextual Learning with Online Convex Optimization with Applications to Medical Decision-Making

Posted: 31 Dec 2019 Last Revised: 14 Jun 2022
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, 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

Abstract:

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