Clusters of floor locations-allocation of stores to cross-docking warehouse considering satisfaction and space using MOGWO and NSGA-II algorithms

Optimal warehouse design is the most substantial issue for many companies, because of increasing their efficiency and productivity. Nowadays, a warehouse is just undefined as a site for goods storage and delivery but is taken into account as a unit interacting with other sectors. Recently, cross-doc...

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Vydáno v:Flexible services and manufacturing journal Ročník 36; číslo 1; s. 315 - 342
Hlavní autoři: Shoaee, Maryam, Samouei, Parvaneh
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.03.2024
Springer Nature B.V
Témata:
Algorithms
Allocations
Docking
Efficiency
Engineering
Logistics
Machines
Manufacturing
Operations Management
Operations Research/Decision Theory
Processes
Productivity
Warehouses
Multi-objective grey wolf optimizer
Augmented epsilon-constraint
Cross-docking warehouse
Layout
Non-dominated sorting genetic algorithm
Weighted sum method
ISSN:1936-6582, 1936-6590
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Abstract Optimal warehouse design is the most substantial issue for many companies, because of increasing their efficiency and productivity. Nowadays, a warehouse is just undefined as a site for goods storage and delivery but is taken into account as a unit interacting with other sectors. Recently, cross-docking warehouses have been widely used since they differ from traditional warehouses in terms of good deposition volume, storage and delivery times, mitigating procurement, exploitation of resources, and accelerating service pace. This study proposes a mathematical model for transit warehouse layout and design to minimize travel distances, downsize the free space of the warehouse and make retailers satisfied. Small-sized problems are solved by the augmented epsilon-constraint and the weighted sum methods, while NSGA-II and MOGWO algorithms are proposed for large-sized problems. Comparison between algorithms indicates higher efficiency of NSGA-II rather than MOGWO algorithm to solve cross-docking warehouse design for allocating stores to floor locations.
AbstractList Optimal warehouse design is the most substantial issue for many companies, because of increasing their efficiency and productivity. Nowadays, a warehouse is just undefined as a site for goods storage and delivery but is taken into account as a unit interacting with other sectors. Recently, cross-docking warehouses have been widely used since they differ from traditional warehouses in terms of good deposition volume, storage and delivery times, mitigating procurement, exploitation of resources, and accelerating service pace. This study proposes a mathematical model for transit warehouse layout and design to minimize travel distances, downsize the free space of the warehouse and make retailers satisfied. Small-sized problems are solved by the augmented epsilon-constraint and the weighted sum methods, while NSGA-II and MOGWO algorithms are proposed for large-sized problems. Comparison between algorithms indicates higher efficiency of NSGA-II rather than MOGWO algorithm to solve cross-docking warehouse design for allocating stores to floor locations.
Author Shoaee, Maryam
Samouei, Parvaneh
Author_xml – sequence: 1
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  surname: Samouei
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  email: p.samouei@basu.ac.ir
  organization: Department of Industrial Engineering, Faculty of Engineering, Bu-Ali Sina University
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CitedBy_id crossref_primary_10_3390_math13142276
crossref_primary_10_3390_mi15080970
Cites_doi 10.1016/j.ejor.2013.03.013
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ContentType Journal Article
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Keywords Multi-objective grey wolf optimizer
Augmented epsilon-constraint
Cross-docking warehouse
Layout
Non-dominated sorting genetic algorithm
Weighted sum method
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Snippet Optimal warehouse design is the most substantial issue for many companies, because of increasing their efficiency and productivity. Nowadays, a warehouse is...
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SubjectTerms Algorithms
Allocations
Docking
Efficiency
Engineering
Logistics
Machines
Manufacturing
Operations Management
Operations Research/Decision Theory
Processes
Productivity
Warehouses
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Title Clusters of floor locations-allocation of stores to cross-docking warehouse considering satisfaction and space using MOGWO and NSGA-II algorithms
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