A hybrid Genetic Algorithm approach to minimize the total joint cost of a single-vendor multi-customer integrated scheduling problem-Reference-Cited by-同舟云学术

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A hybrid Genetic Algorithm approach to minimize the total joint cost of a single-vendor multi-customer integrated scheduling problem

Published:2019-06-09 Issue:6 Volume:42 Page:625-642
ISSN:0308-1060
Container-title:Transportation Planning and Technology
language:en
Short-container-title:Transportation Planning and Technology

Author:

Grunder Olivier¹^ORCID,Hammoudan Zakaria²^ORCID,Beroule Benoit¹,Barakat Oussama³

Affiliation:

1. Nanomedicine Lab, EA4662, Univ. Bourgogne Franche-Comté, UTBM, Belfort, France

2. Université Libano-Française, Tripoli, Lebanon

3. Nanomedicine Lab, EA4662, Univ. Bourgogne Franche-Comté, Besançon, France

Publisher

Informa UK Limited

Subject

Transportation,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/03081060.2019.1622254

Reference14 articles.

1. A Single-Producer Multi-Retailer Integrated Inventory System with Scrap in Production

2. An Integrated Inventory Model with Order-Size-Dependent Trade Credit and Quality Improvement

3. Note—Note on “Manufacturing Cycle Time Determination for a Multi-Stage Economic Production Quantity Model”

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel optimisation model in the collaborative supply chain with production time capacity consideration;Journal of Engineering, Design and Technology;2020-09-23

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