Work

Surrogate-assisted evolutionary optimization for perishable inventory management in multi-echelon distribution systems

Year: 2023

Type: article

Source: Expert Systems with Applications

DOI: 10.1016/j.eswa.2023.122179

Authors: Ziang Liu, Tatsushi Nishi

Institution: Okayama University

Language: English

Topic: Supply Chain and Inventory Management

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Japan Society for the Promotion of Science

Awards: G2170751456, Developing explainable decision support systems for inventory management using deep reinforcement learning, Development of Data-Driven Optimization Fundamentals for Supply Chains Using Dynamic Model Construction Platform

OpenAlex ID: W4387747434

FWCI: 4.025

Cites: 71

Cited by: 14

Related to: 10