Linear location-inventory models for service parts logistics network design

Computers & Industrial Engineering ◽

10.1016/j.cie.2013.12.014 ◽

2014 ◽

Vol 69 ◽

pp. 53-63 ◽

Author(s):

Fatma Gzara ◽

Eissa Nematollahi ◽

Abdullah Dasci

Keyword(s):

Network Design ◽

Inventory Models ◽

Logistics Network ◽

Service Parts ◽

Service Parts Logistics

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Reactive Tabu Search for Large Scale Service Parts Logistics Network Design and Inventory Problems

Service Parts Management ◽

10.1007/978-0-85729-039-7_13 ◽

2011 ◽

pp. 251-278

Author(s):

Yi Sui ◽

Erhan Kutanoglu ◽

J. Wesley Barnes

Keyword(s):

Tabu Search ◽

Network Design ◽

Large Scale ◽

Logistics Network ◽

Service Parts ◽

Reactive Tabu Search ◽

Service Parts Logistics

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Part commonality effects on integrated network design and inventory models for low-demand service parts logistics systems

International Journal of Production Economics ◽

10.1016/j.ijpe.2018.09.017 ◽

2018 ◽

Vol 206 ◽

pp. 46-58 ◽

Author(s):

Vishv Jeet ◽

Erhan Kutanoglu

Keyword(s):

Network Design ◽

Inventory Models ◽

Integrated Network ◽

Logistics Systems ◽

Service Parts ◽

Integrated Network Design ◽

Service Parts Logistics ◽

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Benefits of considering inventory in service parts logistics network design problems with time-based service constraints

IIE Transactions ◽

10.1080/07408170600729218 ◽

2007 ◽

Vol 39 (2) ◽

pp. 159-176 ◽

Author(s):

Mehmet Ferhat Candas ◽

Erhan Kutanoglu

Keyword(s):

Network Design ◽

Design Problems ◽

Logistics Network ◽

Service Parts ◽

Network Design Problems ◽

Service Parts Logistics ◽

Service Constraints

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An inventory sharing and allocation method for a multi-location service parts logistics network with time-based service levels

European Journal of Operational Research ◽

10.1016/j.ejor.2007.12.032 ◽

2009 ◽

Vol 194 (3) ◽

pp. 728-742 ◽

Author(s):

Erhan Kutanoglu ◽

Mohit Mahajan

Keyword(s):

Service Levels ◽

Logistics Network ◽

Location Service ◽

Service Parts ◽

Allocation Method ◽

Inventory Sharing ◽

Service Parts Logistics

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Service parts logistics network model selection for different industries in Asia

International Journal of Logistics Systems and Management ◽

10.1504/ijlsm.2014.063986 ◽

2014 ◽

Vol 18 (4) ◽

pp. 572

Author(s):

Alvin G. Wang

Keyword(s):

Model Selection ◽

Network Model ◽

Logistics Network ◽

Service Parts ◽

Selection For ◽

Service Parts Logistics

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Green dynamic multimodal logistics network design problem considering financing decisions: a case study of cement logistics

Environmental Science and Pollution Research ◽

10.1007/s11356-021-15867-2 ◽

2021 ◽

Author(s):

Minoo Farazmand ◽

Mir Saman Pishvaee ◽

Seyyed Farid Ghannadpour ◽

Rouzbeh Ghousi

Keyword(s):

Network Design ◽

Design Problem ◽

Network Design Problem ◽

Logistics Network ◽

Financing Decisions

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Robust network design for sustainable-resilient reverse logistics network using big data: A case study of end-of-life vehicles

Transportation Research Part E Logistics and Transportation Review ◽

10.1016/j.tre.2021.102279 ◽

2021 ◽

Vol 149 ◽

pp. 102279

Author(s):

Kannan Govindan ◽

Hadi Gholizadeh

Keyword(s):

Big Data ◽

Network Design ◽

End Of Life ◽

Reverse Logistics ◽

Logistics Network ◽

Robust Network Design ◽

Reverse Logistics Network ◽

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Logistics network design to reuse second-hand household appliances for charities

Journal of Cleaner Production ◽

10.1016/j.jclepro.2019.118717 ◽

2020 ◽

Vol 244 ◽

pp. 118717 ◽

Author(s):

Abdolhossein Sadrnia ◽

Najme Roghani Langarudi ◽

Amirreza payandeh Sani

Keyword(s):

Network Design ◽

Household Appliances ◽

Logistics Network

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A mixed integer linear programming for medical waste reverse logistics network design

2009 International Conference on Management Science and Engineering ◽

10.1109/icmse.2009.5317680 ◽

2009 ◽

Author(s):

Li-hong Shi

Keyword(s):

Linear Programming ◽

Network Design ◽

Integer Linear Programming ◽

Reverse Logistics ◽

Mixed Integer Linear Programming ◽

Medical Waste ◽

Mixed Integer ◽

Logistics Network ◽

Reverse Logistics Network

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A hybrid spanning tree-based genetic/simulated annealing algorithm for a closed-loop logistics network design problem

International Journal of Applied Decision Sciences ◽

10.1504/ijads.2015.074612 ◽

2015 ◽

Vol 8 (4) ◽

pp. 400 ◽

Author(s):

Ehsan Yadegari ◽

Mostafa Zandieh ◽

Hesamaddin Najmi

Keyword(s):

Simulated Annealing ◽

Network Design ◽

Design Problem ◽

Spanning Tree ◽

Closed Loop ◽

Simulated Annealing Algorithm ◽

Network Design Problem ◽

Logistics Network ◽

Genetic Simulated Annealing Algorithm ◽

Annealing Algorithm

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