A bi-objective optimization mathematical model integrated with bulk arrival Markovian queueing system and machine learning in publishing industries-Reference-Cited by-同舟云学术

A bi-objective optimization mathematical model integrated with bulk arrival Markovian queueing system and machine learning in publishing industries

Published:2024-03-10 Issue: Volume: Page:1-18
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:

Dashtakian-Nasrabad Samane¹,Esmaeili-Qeshlaqi Maryam²,Alipour-Vaezi Mohammad³^ORCID,Jolai Fariborz¹^ORCID,Aghsami Amir¹⁴^ORCID

Affiliation:

1. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

2. Metz Campus, École Nationale Supérieure d’Arts et Métiers, Paris, France

3. Grado Department of Industrial & Systems Engineering, Virginia Tech, Blacksburg, VA, USA

4. School of Industrial Engineering, K. N. Toosi University of Technology (KNTU), Tehran, Iran

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17509653.2024.2326066

Reference47 articles.

1. An integrated queueing-inventory-routing problem in a green dual-channel supply chain considering pricing and delivery period: a case study of construction material supplier

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3. A novel Markovian queueing-inventory model with imperfect production and inspection processes: A hospital case study

4. A combined continuous-time Markov chain and queueing-inventory model for a blood transfusion network considering ABO/Rh substitution priority and unreliable screening laboratory

5. Prioritizing and queueing the emergency departments’ patients using a novel data-driven decision-making methodology, a real case study

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