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Conference Time: 26th May 2022, 12:21:22am CEST
 

Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
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Session Overview
Session
Modern Analytics and New AI-based Smart Techniques for Replenishment and Production Planning under Uncertainty
Time:
Tuesday, 07/Sept/2021:
3:00pm - 5:00pm

Session Chair: Koichi Nakade
Session Chair: Haoxun Chen
 Virtual location: Tuesday Room 4

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Presentations
ID: 502 / MAN-02: 1
Regular Paper Submission
Digital Supply Networks: Supply Chain Planning and Optimization
Keywords: Inventory management, Joint replenishment, Optimization, Monte Carlo simulation.

Optimization of a Periodic Review Joint Replenishment Policy for a Stochastic Inventory System

Lei Wang, Haoxun Chen

Logistics and Optimization of Industrial Systems, University of Technology of Troyes, Troyes, France


ID: 566 / MAN-02: 2
Special session: Modern Analytics and New AI-based Smart Techniques for Replenishment and Production Planning under Uncertainty
Keywords: Inventory Control, (r, Q) Policy, Genetic Algorithms

CGA-Based Optimal (r, Q) Policy Tuning in Goods Distribution Systems with Complex Topologies

Lukasz Wieczorek, Przemyslaw Ignaciuk

Lodz University of Technology, Poland


ID: 329 / MAN-02: 3
Special session: Modern Analytics and New AI-based Smart Techniques for Replenishment and Production Planning under Uncertainty
Keywords: Advance demand information, Markov decision process, imperfect

Effect of Informed Demand Lead Time under Imperfect Advance Demand Information

Koichi Nakade, Tsubasa Seino

Nagoya Institute of Technology, Japan


ID: 206 / MAN-02: 4
Special session: Modern Analytics and New AI-based Smart Techniques for Replenishment and Production Planning under Uncertainty
Keywords: Supply Chain Management, Perfect Order Fulfilment, Combinations of Failure Features

A Probabilistic Estimation of Perfect Order Parameters

Valery Lukinskiy1, Vladislav Lukinskiy1, Boris Sokolov2, Darya Bazhina1

1National Research University Higher School of Economics (HSE University), Russian Federation; 2Saint Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences



 
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