Joint pricing and inventory management in a competitive market using reinforcement learning: a combination of the agent-based and simulation-optimization approaches-Reference-Cited by-同舟云学术

Joint pricing and inventory management in a competitive market using reinforcement learning: a combination of the agent-based and simulation-optimization approaches

Published:2023-03-13 Issue:2 Volume:18 Page:77-87
ISSN:1750-9653
Container-title:International Journal of Management Science and Engineering Management
language:en
Short-container-title:International Journal of Management Science and Engineering Management

Author:

Abdolhosseini Saeed¹^ORCID,Ghandehari Mahsa²^ORCID,Ansari Azarnoush²^ORCID,Roozmand Omid³

Affiliation:

1. Department of Management, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran

2. Department of Management, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran

3. Department of Computer Engineering, University of Shahreza, Isfahan, Iran

Publisher

Informa UK Limited

Subject

Information Systems and Management,Management Science and Operations Research,Strategy and Management,Mechanical Engineering,Engineering (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/17509653.2021.1983737

Reference44 articles.

1. Dynamic Pricing and Inventory Control: Uncertainty and Competition

2. Pricing and Prioritizing Time-Sensitive Customers with Heterogeneous Demand Rates

3. Optimal pricing and inventory strategies for fashion products under time-dependent interest rate and demand

4. Multi-agent capacitated scheduling for profit-maximizing using a decomposition-based branch and cut algorithm

5. Agent-based modeling: Methods and techniques for simulating human systems

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