World's Best Scientists 2026 revealed!
Jing-Sheng Song

Jing-Sheng Song

D-Index & Metrics

Business and Management

D-Index
41
Citations
6687
World Ranking
1595
National Ranking
671

Mathematics

D-Index
35
Citations
5473
World Ranking
2767
National Ranking
1132

Engineering and Technology

D-Index
41
Citations
6693
World Ranking
6980
National Ranking
1902

Overview

Jing-Sheng Song is affiliated with Duke University in the United States. Their research primarily spans the fields of Business, Management and Accounting as well as Computer Science. Within these broad areas, their work covers several subfields including Organizational Behavior and Human Resource Management, Industrial and Manufacturing Engineering, Control and Systems Engineering, Management Information Systems, and Business and International Management.

The main topics addressed in their work include:

  • Facility Location and Emergency Management
  • Advanced Manufacturing and Logistics Optimization
  • Optimization and Mathematical Programming
  • Supply Chain and Inventory Management
  • Innovation and Socioeconomic Development
  • Supply Chain Resilience and Risk Management
  • Logic, Programming, and Type Systems

Jing-Sheng Song has published research in a variety of academic venues. Some of the frequent publication venues are:

  • Journal of the Operational Research Society
  • Health Care Management Science
  • ePrints Soton (University of Southampton)
  • The "business & management collection."

The following list includes some of the recent papers associated with Jing-Sheng Song, with publication year and venue specified:

  • Supply chain innovations, 2021, The "business & management collection."

While Jing-Sheng Song has fewer recent solo or first-author publications in the data, they have frequent collaborations with other scholars. Frequent co-authors include:

  • Fotios Petropoulos
  • Gilbert Laporte
  • Emel Aktaş
  • Sibel A. Alumur
  • Claudia Archetti

Though some of their close collaborators have notable publications, Jing-Sheng Song's recent documented research contribution centers on supply chain innovations and areas linking operational research methods with business challenges. The integration of logistics, emergency management, and optimization techniques is characteristic of their research approach, reflecting interdisciplinary expertise.

Best Publications

  • Inventory Control in a Fluctuating Demand Environment

    Jing-Sheng Song;Paul Zipkin

  • Price, delivery time guarantees and capacity selection

    Kut C. So;Kut C. So;Jing-Sheng Song

  • Inventory Control with Information About Supply Conditions

    Jing-Sheng Song;Paul H. Zipkin

  • Supply Chain Operations: Assemble-to-Order Systems.

    Jing-Sheng Song;Paul H. Zipkin

  • The Effect of Leadtime Uncertainty in a Simple Stochastic Inventory Model

    Jing-Sheng Song

  • “Bricks-and-mortar” vs. “clicks-and-mortar”: An equilibrium analysis

    Fernando Bernstein;Jing-Sheng Song;Xiaona Zheng

  • Optimal Policies for Multiechelon Inventory Problems with Markov-Modulated Demand

    Fangruo Chen;Jing-Sheng Song

  • Order-Fulfillment Performance Measures in An Assemble-To-Order System with Stochastic Leadtimes

    Jing-Sheng Song;Susan H. Xu;Bin Liu

  • On the Order Fill Rate in a Multi-Item, Base-Stock Inventory System

    N. V. R. Mahadev;Aleksandar Pekec;Fred S. Roberts;Jing-Sheng Song

  • Performance Analysis and Optimization of Assemble-to-Order Systems with Random Lead Times

    Jing-Sheng Song;David D. Yao

  • Newsvendor Bounds and Heuristic for Optimal Policies in Serial Supply Chains

    Kevin H. Shang;Jing-Sheng Song

  • Free riding in a multi-channel supply chain

    Fernando Bernstein;Jing-Sheng Song;Xiaona Zheng

  • Order Fill Rate, Leadtime Variability, and Advance Demand Information in an Assemble-to-Order System

    Yingdong Lu;Jing-Sheng Song;David D. Yao

  • Order-Based Cost Optimization in Assemble-to-Order Systems

    Yingdong Lu;Jing-Sheng Song

  • Inventories with Multiple Supply Sources and Networks of Queues with Overflow Bypasses

    Jing-Sheng Song;Paul Zipkin

  • Contract Assembly: Dealing with Combined Supply Lead Time and Demand Quantity Uncertainty

    Jing-Sheng Song;Candace A. Yano;Panupol Lerssrisuriya

  • On Measuring Supplier Performance Under Vendor-Managed-Inventory Programs in Capacitated Supply Chains

    Ki-Seok Choi;J. G. Dai;Jing-Sheng Song

  • Demand Management and Inventory Control for Substitutable Products

    Jing-Sheng Song;Zhengliang Xue

  • Managing Inventory with the Prospect of Obsolescence

    Jing-Sheng Song;Paul H. Zipkin

  • Outsourcing structures and information flow in a three-tier supply chain

    Pengfei Guo;Jing-Sheng Song;Yulan Wang

  • On The Censored Newsvendor and the Optimal Acquisition of Information

    Xiangwen Lu;Jing-Sheng Song;Kaijie Zhu

Frequent Co-Authors

Paul Zipkin
Paul Zipkin Duke University
David D. Yao
David D. Yao Columbia University
Guillermo Gallego
Guillermo Gallego Chinese University of Hong Kong, Shenzhen
Candace Arai Yano
Candace Arai Yano University of California, Berkeley
Zvi Drezner
Zvi Drezner California State University, Fullerton
Fred S. Roberts
Fred S. Roberts Rutgers, The State University of New Jersey
Tracy R. Lewis
Tracy R. Lewis Duke University

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