Meng Li

Rutgers, The State University of New Jersey - Management

United States

SCHOLARLY PAPERS

4

DOWNLOADS

360

CITATIONS

1

Scholarly Papers (4)

1.

Inventory Control with a Cash Register: Sales Recorded but Not Demand or Shrinkage

Number of pages: 34 Posted: 10 Jul 2011
University of Texas at Dallas - Naveen Jindal School of Management, University of Texas at Dallas - Naveen Jindal School of Management, University of Texas at Dallas - Naveen Jindal School of Management and Rutgers, The State University of New Jersey - Management
Downloads 133 (201,927)
Citation 1

Abstract:

Loading...

inventory/production, uncertainty, dynamic programming/optimal control, Markov, Stochastic Models

2.

Competing with Bandit Supply Chains

Number of pages: 27 Posted: 21 Sep 2012
Meng Li, Suresh Sethi and Jun Zhang
Rutgers, The State University of New Jersey - Management, University of Texas at Dallas - Naveen Jindal School of Management and University of Texas at Dallas - Naveen Jindal School of Management
Downloads 85 (276,251)

Abstract:

Loading...

bandit, competition, price, quality, feature, supply chain

3.

Value of High-Quality Logistics: Evidence from a Clash between SF Express and Alibaba

Number of pages: 34 Posted: 28 Aug 2018 Last Revised: 12 Oct 2018
Ruomeng Cui, Meng Li and Qiang Li
Goizueta Business School, Emory University, Rutgers, The State University of New Jersey - Management and Independent
Downloads 77 (293,102)

Abstract:

Loading...

Delivery, Service quality, Sales, Product variety, Retail platform, Natural experiment

4.

Existence and Uniqueness of a Solution of a Partially Observed Stochastic Control Problem

Number of pages: 17 Posted: 10 Jul 2011 Last Revised: 17 Jul 2011
University of Texas at Dallas - Naveen Jindal School of Management, University of Texas at Dallas - Naveen Jindal School of Management, University of Texas at Dallas - Naveen Jindal School of Management and Rutgers, The State University of New Jersey - Management
Downloads 65 (321,890)

Abstract:

Loading...

inventory/production, uncertainty, dynamic programming/optimal control, Markov, Stochastic Models