Journal article
A HITS-based model for facility location decision
Expert systems with applications, v 159, p113616
30 Nov 2020
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper presents a model to the facility location problem which incorporates both location characteristics and rival effects within a business cluster. Location characteristics in the model are predefined selection criteria such as rent, distance, safety and size. Rival effects represent the competition and collaboration relationship among close facility locations in the business cluster where candidate locations are located. The model presented uses data envelopment analysis (DEA) and weighted hyperlink-induced topic search (HITS) algorithm. DEA determines the efficient and inefficient locations as well as benchmarking relationship. The weighted HITS algorithm with the distance parameter considers the rival effects among locations to identify hubs and authorities. The applicability of our proposed model is demonstrated with a case study that rank apartments in the University area. (C) 2020 Elsevier Ltd. All rights reserved.
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Details
- Title
- A HITS-based model for facility location decision
- Creators
- Jin Fang - Drexel UniversityFariborz Y. Partovi - Drexel University
- Publication Details
- Expert systems with applications, v 159, p113616
- Publisher
- Elsevier
- Number of pages
- 11
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000583204100028
- Scopus ID
- 2-s2.0-85086705792
- Other Identifier
- 991019168806304721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Electrical & Electronic
- Operations Research & Management Science