Matches in SemOpenAlex for { <https://semopenalex.org/work/W4289260423> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4289260423 endingPage "108495" @default.
- W4289260423 startingPage "108495" @default.
- W4289260423 abstract "• Exploiting SMEs capacity in the logistics network during the COVID-19 outbreak. • Meeting society needs by government financial incentives to align SMEs activities. • Integrating the location-open routing decisions and material flow management. • Extending a local search-based heuristic to solve the problem near-optimally. • Investigation a real-world problem in Iran as the case study. One of the most destructive effects of pandemics and epidemics outbreak is the severe deficiency of basic goods needed by society, especially in underdeveloped and developing countries. Therefore, designing an efficient managerial model for making operative modifications in logistics networks beside the governmental financial support policies is considered as one of the most important managerial challenges in the critical situation of the prevalence of infectious diseases that is not investigated in the literature. In this paper, an optimization-based approach is developed to design the supply, production, and distribution channels of basic goods using the capacity of small and medium-sized enterprises (SMEs) under direct supervision of the government in order to increase both the agility and resilience of logistics networks. Since the NP-hardess of the discussed problem, an iterative two-step heuristic based on local search (ITbLS) is developed to solve the proposed problem. According to the numerical results, it can be observed that the proposed algorithm has a good performance to obtain near-optimal solutions for the case study. Moreover, the numerical analyses indicate that the percentage of the active capacity of suppliers, transportation fleet, SMEs, and distribution centers, is specifically dependent on the amount of demand and the number of the established SMEs. In general, managerial results of the proposed model make supply chains more efficient by exploiting the capacity of SMEs and improve the government finaical resources allocation to the private sector to supply basic goods in critical situations." @default.
- W4289260423 created "2022-08-01" @default.
- W4289260423 creator A5031251215 @default.
- W4289260423 creator A5037176755 @default.
- W4289260423 date "2022-09-01" @default.
- W4289260423 modified "2023-10-16" @default.
- W4289260423 title "An optimization-based approach for managing downstream logistic operations: A real application in pandemic outbreak conditions" @default.
- W4289260423 cites W2018679674 @default.
- W4289260423 cites W2066355232 @default.
- W4289260423 cites W2750388531 @default.
- W4289260423 cites W2788797222 @default.
- W4289260423 cites W2953333356 @default.
- W4289260423 cites W2963745369 @default.
- W4289260423 cites W2973874934 @default.
- W4289260423 cites W2981536648 @default.
- W4289260423 cites W2989921987 @default.
- W4289260423 cites W2990598119 @default.
- W4289260423 cites W3001386346 @default.
- W4289260423 cites W3008976851 @default.
- W4289260423 cites W3010128172 @default.
- W4289260423 cites W3013474995 @default.
- W4289260423 cites W3016956943 @default.
- W4289260423 cites W3017185871 @default.
- W4289260423 cites W3031518403 @default.
- W4289260423 cites W3033730206 @default.
- W4289260423 cites W3036824495 @default.
- W4289260423 cites W3103906052 @default.
- W4289260423 cites W3109716747 @default.
- W4289260423 cites W3129365352 @default.
- W4289260423 cites W3129380731 @default.
- W4289260423 cites W3130642037 @default.
- W4289260423 cites W3132374945 @default.
- W4289260423 cites W3133296770 @default.
- W4289260423 cites W3134391858 @default.
- W4289260423 cites W3152898648 @default.
- W4289260423 cites W3195704610 @default.
- W4289260423 cites W4214913039 @default.
- W4289260423 cites W4220660666 @default.
- W4289260423 cites W4235434381 @default.
- W4289260423 doi "https://doi.org/10.1016/j.cie.2022.108495" @default.
- W4289260423 hasPublicationYear "2022" @default.
- W4289260423 type Work @default.
- W4289260423 citedByCount "2" @default.
- W4289260423 countsByYear W42892604232023 @default.
- W4289260423 crossrefType "journal-article" @default.
- W4289260423 hasAuthorship W4289260423A5031251215 @default.
- W4289260423 hasAuthorship W4289260423A5037176755 @default.
- W4289260423 hasConcept C116675565 @default.
- W4289260423 hasConcept C127413603 @default.
- W4289260423 hasConcept C142724271 @default.
- W4289260423 hasConcept C159047783 @default.
- W4289260423 hasConcept C21547014 @default.
- W4289260423 hasConcept C2776207758 @default.
- W4289260423 hasConcept C2779134260 @default.
- W4289260423 hasConcept C3008058167 @default.
- W4289260423 hasConcept C41008148 @default.
- W4289260423 hasConcept C42475967 @default.
- W4289260423 hasConcept C524204448 @default.
- W4289260423 hasConcept C71924100 @default.
- W4289260423 hasConcept C86803240 @default.
- W4289260423 hasConcept C89623803 @default.
- W4289260423 hasConceptScore W4289260423C116675565 @default.
- W4289260423 hasConceptScore W4289260423C127413603 @default.
- W4289260423 hasConceptScore W4289260423C142724271 @default.
- W4289260423 hasConceptScore W4289260423C159047783 @default.
- W4289260423 hasConceptScore W4289260423C21547014 @default.
- W4289260423 hasConceptScore W4289260423C2776207758 @default.
- W4289260423 hasConceptScore W4289260423C2779134260 @default.
- W4289260423 hasConceptScore W4289260423C3008058167 @default.
- W4289260423 hasConceptScore W4289260423C41008148 @default.
- W4289260423 hasConceptScore W4289260423C42475967 @default.
- W4289260423 hasConceptScore W4289260423C524204448 @default.
- W4289260423 hasConceptScore W4289260423C71924100 @default.
- W4289260423 hasConceptScore W4289260423C86803240 @default.
- W4289260423 hasConceptScore W4289260423C89623803 @default.
- W4289260423 hasLocation W42892604231 @default.
- W4289260423 hasOpenAccess W4289260423 @default.
- W4289260423 hasPrimaryLocation W42892604231 @default.
- W4289260423 hasRelatedWork W2046407444 @default.
- W4289260423 hasRelatedWork W2753611853 @default.
- W4289260423 hasRelatedWork W2899084033 @default.
- W4289260423 hasRelatedWork W3033635008 @default.
- W4289260423 hasRelatedWork W3049611100 @default.
- W4289260423 hasRelatedWork W3119540162 @default.
- W4289260423 hasRelatedWork W3152606407 @default.
- W4289260423 hasRelatedWork W3152916563 @default.
- W4289260423 hasRelatedWork W4313474620 @default.
- W4289260423 hasRelatedWork W4327956415 @default.
- W4289260423 hasVolume "171" @default.
- W4289260423 isParatext "false" @default.
- W4289260423 isRetracted "false" @default.
- W4289260423 workType "article" @default.