Integrated frame work for identifying sustainable manufacturing layouts based on big data, machine learning, meta-heuristic and data envelopment analysis
Bibliographic Data
| ID | 21233254 |
|---|---|
| Authors | Akash Tayal (0000-0001-7163-0753, Indira Gandhi Delhi Technical University for Women), Arun Solanki (0000-0002-4359-406X, Gautam Buddha University, corresponding author), Simar Preet Singh (0000-0002-2443-7835) |
| Year | 2020 |
| Volume | 62 |
| Pages | 102383 |
| Publication date | 2020-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2020.102383 |
| OpenAlex | W3041975366 |
| Language | EN |
| Citations received | 3 |
| References cited | 47 |
Big data · Cluster analysis · Data envelopment analysis · Data mining · Energy consumption · Industrial engineering · Mathematical optimization · Operations research · Sustainability · Advanced Manufacturing and Logistics Optimization · BIM and Construction Integration · Computer Science · Energy Efficiency and Management · Engineering · Mathematics · Artificial Intelligence
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| Citations per year | 0.6 |
|---|---|
| Citation span | 2021 - 2023 (3) |
| Highly cited | No |