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Abstrakty
Locating facilities such as factories or warehouses is an important and strategic decision for any organization. Transportation costs, which often form a significant part of the price of goods offered, are a function of the location of the plans. To determine the optimal location of these designs, various methods have been proposed so far, which are generally definite (non-random). The main aim of the study, while introducing these specific algorithms, is to suggest a stochastic model of the location problem based on the existing models, in which random programming, as well as programming with random constraints are utilized. To do so, utilizing programming with random constraints, the stochastic model is transformed into a specific model that can be solved by using the latest algorithms or standard programming methods. Based on the results acquired, this proposed model permits us to attain more realistic solutions considering the random nature of demand. Furthermore, it helps attain this aim by considering other characteristics of the environment and the feedback between them.
Rocznik
Tom
Strony
345--355
Opis fizyczny
Bibliogr. 20 poz., tab.
Twórcy
autor
- Faculty of Business Administration, Kasetsart University, Thailand
autor
- Department of Computer Science, Dhofar University, PO Box 2509, PCode 211, Salalah, Sultanate of Oman
autor
- Department of Economic Theory, Head of the Department, Kuban State Agrarian University Named after I.T. Trubilin, Krasnodar, Russian Federation, 350044, Krasnodar, Kalinina Street, 13.
autor
- Ph.D. in Management, Chitkara Business School, Faculty of Business Management, Chitkara University, Punjab, India
autor
- Department of Computer Sciences, College of Education for Pure Science, University of Thi-Qar, Iraq
- Al-Manara College For Medical Sciences, Maysan, Iraq
autor
- Al-Nisour University College, Baghdad, Iraq
autor
- Public Health Department, Faculty of Health Science, University of Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia
Bibliografia
- [1] 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.
- [2] 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.
- [3] 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.
- [4] 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.
- [5] Sonuç E., Binary crow search algorithm for the uncapacitated facility location problem. Neural Computing and Applications, 33, 21, 2021,14669-14685.
- [6] Li H., Zhang B., Ge X., Modeling emergency logistics location-allocation problem with uncertain parameters, Systems, 10, 2, 2022, 51.
- [7] Viswanath K., Ward J., Stochastic location-assignment on an interval with sequential arrivals, Networks and Spatial Economics, 10, 3, 2010, 389-410.
- [8] 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.
- [9] Cooper L., The stochastic transportation-location problem, Computers & Mathematics with Applications, 4, 3, 1978, 265-275.
- [10] 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.
- [11] 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.
- [12] 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.
- [13] 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.
- [14] Bhowmick S., Inamdar T., Varadarajan K., Fault-tolerant covering problems in metric spaces, Algorithmica, 83, 2, 2021, 413-446.
- [15] 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.
- [16] 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.
- [17] 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.
- [18] 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.
- [19] 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.
- [20] 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.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c4c725b5-5308-4aa4-92de-e30d9113d832