Cite

Gabor A.F., van Ommeren J.C., An approximation algorithm for a facility location problem with stochastic demands and inventories, Operations research letters, 34, 3, 2006, 257-263. Search in Google Scholar

Ryu J., Park S., A branch-and-price algorithm for the robust single-source capacitated facility location problem under demand uncertainty, EURO Journal on Transportation and Logistics, 11, 2022, 100069. Search in Google Scholar

Fadda E., Manerba D., Cabodi G., Camurati P.E., Tadei R., Comparative analysis of models and performance indicators for optimal service facility location, Transportation Research Part E: Logistics and Transportation Review, 145, 2021, 102174. Search in Google Scholar

Ni W., Shu J., Song M., Xu D., Zhang K., A branch-and-price algorithm for facility location with general facility cost functions, INFORMS Journal on Computing, 33, 1, 2021, 86-104. Search in Google Scholar

Sonuç E., Binary crow search algorithm for the uncapacitated facility location problem. Neural Computing and Applications, 33, 21, 2021,14669-14685. Search in Google Scholar

Li H., Zhang B., Ge X., Modeling emergency logistics location-allocation problem with uncertain parameters, Systems, 10, 2, 2022, 51. Search in Google Scholar

Viswanath K., Ward J., Stochastic location-assignment on an interval with sequential arrivals, Networks and Spatial Economics, 10, 3, 2010, 389-410. Search in Google Scholar

Karagöz S., Deveci M., Simic V., Aydin N., Interval type-2 Fuzzy ARAS method for recycling facility location problems, Applied Soft Computing, 102, 2021, 107107. Search in Google Scholar

Cooper L., The stochastic transportation-location problem, Computers & Mathematics with Applications, 4, 3, 1978, 265-275. Search in Google Scholar

Mohammadi S., Darestani S.A., Vahdani B., Alinezhad A., A robust neutrosophic fuzzy-based approach to integrate reliable facility location and routing decisions for disaster relief under fairness and aftershocks concerns, Computers & Industrial Engineering, 148, 2020, 106734. Search in Google Scholar

Pahlevan S.M., Hosseini S.M.S., Goli A., Sustainable supply chain network design using products’ life cycle in the aluminum industry, Environmental Science and Pollution Research, 2021, 1-25. Search in Google Scholar

Schütz P., Stougie L., Tomasgard A., Stochastic facility location with general long-run costs and convex short-run costs, Computers & Operations Research, 35, 9, 2008, 2988-3000. Search in Google Scholar

Golabi M., Idoumghar L., Arkat J., A bi-objective single-server congested edge-based facility location problem under disruption. In 2022 IEEE Congress on Evolutionary Computation (CEC) (pp. 01-08). IEEE. 2022. Search in Google Scholar

Bhowmick S., Inamdar T., Varadarajan K., Fault-tolerant covering problems in metric spaces, Algorithmica, 83, 2, 2021, 413-446. Search in Google Scholar

Mousavi S.M., Niaki S.T.A., Capacitated location allocation problem with stochastic location and fuzzy demand: A hybrid algorithm, Applied Mathematical Modelling, 37, 7, 2013, 5109-5119. Search in Google Scholar

Roudsari A. H., Wong K.Y., A bi-objective stochastic single facility location model for a supermarket, International Journal of Services and Operations Management, 17, 3, 2014, 257-279. Search in Google Scholar

Fraj E., Matute J., Melero I., Environmental strategies and organizational competitiveness in the hotel industry: the role of learning and innovation as determinants of environmental success, Tourism management, 46, 2015, 30-42. Search in Google Scholar

Nga T.T.T., Pham K.D., The effect of business strategy on R&D expenditure and firm performance–evidence from Taiwan, Management Systems in Production Engineering, 30, 1, 2022, 80-90. Search in Google Scholar

Xu J., Shang Y., Yu W., Liu F., Intellectual capital, technological innovation and firm performance: evidence from China’s manufacturing sector, Sustainability, 11, 19, 2019, 5328. Search in Google Scholar

Alam A., Uddin M., Yazdifar H., Shafique S., Lartey T., R&D investment, firm performance and moderating role of system and safeguard: evidence from emerging markets, Journal of Business Research, 106, 2020, 94-105. Search in Google Scholar

eISSN:
2300-3405
Idioma:
Inglés
Calendario de la edición:
4 veces al año
Temas de la revista:
Computer Sciences, Artificial Intelligence, Software Development