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Published, Version of Record (VoR)CC BY V4.0, Open
Journal article
Multi-index constrained transportation problem with bounds on availabilities, requirements and commodities
Operations Research Perspectives, v 5, pp 319-333
2018
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
•Transportation problem.•Multiple commodities.•Mutli-index constrained transportation.•Impaired/enhanced flow.
In this paper, we consider a multi-index constrained transportation problem (CTP) of axial constraints with bounds on destination requirements, source availabilities, and multiple types of commodities. The specified problem is converted into a related transportation problem by adding a source, a destination, and a commodity, making it equivalent to a standard axial sum problem. This related problem is transformed into a multi-index transportation problem that can be solved easily. The provided solution method is very useful for transporting heterogeneous commodities. A transportation model may sometimes have various capacity constraints on the flow between pairs of origins and destinations. Moreover, budgetary, political, and emergency situations may impair or enhance the flow between origins and destinations, making it critical for a manager to reevaluate allocations. These considerations have motivated us to explore the multi-index CTP with impaired and enhanced flow. We present several numerical examples to demonstrate the proposed algorithms.
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Details
- Title
- Multi-index constrained transportation problem with bounds on availabilities, requirements and commodities
- Creators
- Archana Khurana - University of Maryland, College ParkVeena Adlakha - University of BaltimoreBenjamin Lev - Drexel University
- Publication Details
- Operations Research Perspectives, v 5, pp 319-333
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000452765000030
- Scopus ID
- 2-s2.0-85055038050
- Other Identifier
- 991019168381704721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Operations Research & Management Science