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

18

DOWNLOADS
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in Total Papers Downloads

3,609

SSRN CITATIONS
Rank 22,132

SSRN RANKINGS

Top 22,132

in Total Papers Citations

18

CROSSREF CITATIONS

22

Scholarly Papers (18)

1.

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
University of Cincinnati - Lindner College of Business and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 789 (33,619)
Citation 5

Abstract:

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

2.

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 729 (37,481)
Citation 7

Abstract:

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

3.

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
The Pennsylvania State University - The Harold and Inge Marcus Department of Industrial and Manufacturing 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 360 (90,584)
Citation 6

Abstract:

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

4.

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 267 (125,439)

Abstract:

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

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: 23 Mar 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 261 (128,522)
Citation 7

Abstract:

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

6.

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 247 (135,911)
Citation 1

Abstract:

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

7.

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, 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 206 (161,696)

Abstract:

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

8.

Network Revenue Management with Online Inverse Batch Gradient Descent Method

Number of pages: 53 Posted: 26 Feb 2019 Last Revised: 17 Jul 2020
Yiwei Chen and Cong Shi
University of Cincinnati - Lindner College of Business and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 164 (198,195)
Citation 3

Abstract:

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

9.

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 161 (201,313)
Citation 1

Abstract:

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

10.

Online Advance Scheduling with Overtime: A Primal-Dual Approach

Number of pages: 43 Posted: 05 Apr 2019 Last Revised: 26 May 2019
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
Downloads 110 (270,735)

Abstract:

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

11.

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 108 (274,284)
Citation 2

Abstract:

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inventory, random capacity, online learning algorithms, regret analysis

12.

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

Number of pages: 48 Posted: 27 Sep 2019
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 93 (302,961)
Citation 6

Abstract:

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

13.

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
The Pennsylvania State University - The Harold and Inge Marcus Department of Industrial and Manufacturing 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 86 (318,225)
Citation 2

Abstract:

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

14.

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

Number of pages: 36
Shenzhen University - Department of Marketing, Shenzhen University - Department of Marketing, Shenzhen University - Department of Marketing, University of Michigan, Industrial and Operations Engineering and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 19

Abstract:

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social media; key opinion leaders; advertising campaigns; multinomial logit model; selection; scheduling

15.

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

Number of pages: 34
Shenzhen University - Department of Marketing, Shenzhen University - Department of Marketing, University of Michigan, Industrial and Operations Engineering and University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering
Downloads 9

Abstract:

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social media influencer; variation-seeking; Markov decision process; matrix completion; optimal policy; streaming media

16.

Advance Scheduling with Personalized Learning

Posted: 10 Mar 2020
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 - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor

Abstract:

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

17.

Contextual Learning with Online Convex Optimization: Theory and Application to Chronic Diseases

Posted: 31 Dec 2019
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 - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor and Massachusetts General Hospital

Abstract:

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online learning algorithms, regret analysis, contextual bandit, stochastic sub-gradient descent, personalized medicine, disease progression, type 2 diabetes.

18.

Personalized Hospital Admission Control: A Contextual Learning Approach

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 - 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