Abstract
AbstractThe facility location problem is extended by a new two-stage zero-one programming system (2S-ZOPS). It is a type of design optimization issue that exists in logistics implementations such as supply chain planning in healthcare or agriculture. Along with concerns regarding PD delivery time manner for connecting logistics centers and customers, recent studies have considered the zero-one location design model. This research discussed a route selection model for the 2S-ZOPS that did not exist in the published studies by taking into account the level of risk associated with physical appearance. The mathematical models were developed in response to a PD supply chain design that occurred in Thailand’s National Health Insurance Program. By combining the virus optimization algorithm (VOA) with a large neighborhood search (LNS), we created a hybrid metaheuristic method for solving the 2S-ZOPS. Experiments with real-world data demonstrated that the hybrid algorithm was efficient in terms of time consumption and solution quality, saving approximately 6% on total costs. The presented practice benefits not only the healthcare industry but also various other businesses.
Funder
Faculty of Engineering, Thammasat School of Engineering
Publisher
Springer Science and Business Media LLC
Reference61 articles.
1. Büyüközkan, G., Çifçi, G. & Güleryüz, S. Strategic analysis of healthcare service quality using fuzzy AHP methodology. Expert Syst. Appl. 38(8), 9407–9424 (2011).
2. KDIGO. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int. Suppl. 3(1), 1–150 (2013).
3. Calvert, J. H. & Cline, D. M. End-stage renal disease. In Tintinalli’s Emergency Medicine: A Comprehensive Study Guide (eds Tintinalli, J. E. et al.) 90 (McGraw Hill, 2019).
4. Turhan, S. N. & Vayvay, Ö. Vendor managed inventory via SOA in healthcare supply chain management. Int. J. Bus. Inf. Syst. 9(4), 451–464 (2012).
5. Islam, M. R., Mahmud, M. R. & Pritom, R. M. Transportation scheduling optimization by a collaborative strategy in supply chain management with TPL using chemical reaction optimization. Neural Comput. Appl. 32(8), 3649–3674 (2020).
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献