Pallet Distribution Affecting a Machine’s Utilization Level and Picking Time Article Swipe
Taniya Mukherjee
,
Isha Sangal
,
Biswajit Sarkar
,
Tamer M. Alkadash
,
Qais Almaamari
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/math11132956
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/math11132956
Space and labor are the two internal resources within a warehouse or cross-dock center which seek attention. Meaningful efforts in optimizing these two resources can reduce the operational cost or time of the goods delivery. The timely allocation of resources to order picking not only reduces the makespan and operational time but can also evade delay. In decentralized settings, where all the information is not properly shared between the players of the supply chain, miscommunication results in delays in product delivery. In this study, efforts were made to determine the pallet quantity of different product types in an order quantify when there is a gap in information shared and, based on that, the allocation of material handling devices or pickers was conducted. Each handling device is bounded by a workload to eliminate the option of idle resources and ensure it is utilized properly. A mixed integer linear programming model was formulated for this study and was solved using Lingo. Numerical experiments were performed under varying resource numbers and pallet quantities to investigate the circumstances where the number of pallet types and allocation of machines have the highest benefit. The results confirm that a change in the pallet quantity of the products increases the total picking time. However, an increase in the number of handling devices minimizes the level of over-utilization of a particular machine.
Related Topics
Concepts
Pallet
Workload
Computer science
Product (mathematics)
Supply chain
Integer programming
Order picking
Backup
Idle
Operations research
Order (exchange)
Resource allocation
Delivery Performance
Mathematical optimization
Industrial engineering
Warehouse
Database
Engineering
Computer network
Mathematics
Operating system
Business
Algorithm
Mechanical engineering
Geometry
Finance
Marketing
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/math11132956
- https://www.mdpi.com/2227-7390/11/13/2956/pdf?version=1688296911
- OA Status
- gold
- Cited By
- 2
- References
- 60
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4382940855
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4382940855Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/math11132956Digital Object Identifier
- Title
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Pallet Distribution Affecting a Machine’s Utilization Level and Picking TimeWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-07-02Full publication date if available
- Authors
-
Taniya Mukherjee, Isha Sangal, Biswajit Sarkar, Tamer M. Alkadash, Qais AlmaamariList of authors in order
- Landing page
-
https://doi.org/10.3390/math11132956Publisher landing page
- PDF URL
-
https://www.mdpi.com/2227-7390/11/13/2956/pdf?version=1688296911Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.mdpi.com/2227-7390/11/13/2956/pdf?version=1688296911Direct OA link when available
- Concepts
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Pallet, Workload, Computer science, Product (mathematics), Supply chain, Integer programming, Order picking, Backup, Idle, Operations research, Order (exchange), Resource allocation, Delivery Performance, Mathematical optimization, Industrial engineering, Warehouse, Database, Engineering, Computer network, Mathematics, Operating system, Business, Algorithm, Mechanical engineering, Geometry, Finance, MarketingTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2025: 1, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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60Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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