Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896738323> ?p ?o ?g. }
- W2896738323 abstract "Inventory and supply chain management is a real concern for business community in today's globally competitive scenario. Various inventory models are proposed, significant parameters are analysed and finally optimized by researchers in order to give managers an insight for the different parameters. Mathematical and logical analysis of different inventory and supply chain models helps mangers in overall cost reduction and further higher revenue generation. Members often encounter conflicting interest and unforeseen scenario. So, all this make supply chain very complex and dynamic process. Complex and uncertain nature of inventory and supply chain, many times either it is not feasible to solve the issue with traditional methods or it is not cost effective. Thus many researchers are using artificial intelligence approach for investigation. Genetic algorithm is one among them that works efficiently with complex nature of the inventory and supply chain management. This article provides an up to date review about the role of GA in overall inventory and supply chain management." @default.
- W2896738323 created "2018-10-26" @default.
- W2896738323 creator A5041913859 @default.
- W2896738323 date "2018-01-01" @default.
- W2896738323 modified "2023-09-27" @default.
- W2896738323 title "Genetic Algorithm Approach for Inventory and Supply Chain Management" @default.
- W2896738323 cites W1535700698 @default.
- W2896738323 cites W1541288193 @default.
- W2896738323 cites W1966737366 @default.
- W2896738323 cites W1972038360 @default.
- W2896738323 cites W1972079012 @default.
- W2896738323 cites W1974403532 @default.
- W2896738323 cites W1987297140 @default.
- W2896738323 cites W1991701667 @default.
- W2896738323 cites W2004492465 @default.
- W2896738323 cites W2011289111 @default.
- W2896738323 cites W2015777853 @default.
- W2896738323 cites W2016083398 @default.
- W2896738323 cites W2016491906 @default.
- W2896738323 cites W2020061819 @default.
- W2896738323 cites W2023044149 @default.
- W2896738323 cites W2026419634 @default.
- W2896738323 cites W2028575625 @default.
- W2896738323 cites W2037246711 @default.
- W2896738323 cites W2039904675 @default.
- W2896738323 cites W2040382545 @default.
- W2896738323 cites W2046321562 @default.
- W2896738323 cites W2050876709 @default.
- W2896738323 cites W2062546209 @default.
- W2896738323 cites W2065350252 @default.
- W2896738323 cites W2068637639 @default.
- W2896738323 cites W2068810721 @default.
- W2896738323 cites W2075326007 @default.
- W2896738323 cites W2077660521 @default.
- W2896738323 cites W2079597887 @default.
- W2896738323 cites W2081230102 @default.
- W2896738323 cites W2082933038 @default.
- W2896738323 cites W2087957391 @default.
- W2896738323 cites W2094608307 @default.
- W2896738323 cites W2108088207 @default.
- W2896738323 cites W2117753199 @default.
- W2896738323 cites W2128721321 @default.
- W2896738323 cites W2131512748 @default.
- W2896738323 cites W2143017909 @default.
- W2896738323 cites W2146044547 @default.
- W2896738323 cites W2162154371 @default.
- W2896738323 cites W2390922707 @default.
- W2896738323 cites W2560557936 @default.
- W2896738323 cites W3148442452 @default.
- W2896738323 cites W4243241350 @default.
- W2896738323 doi "https://doi.org/10.4018/978-1-5225-3232-3.ch024" @default.
- W2896738323 hasPublicationYear "2018" @default.
- W2896738323 type Work @default.
- W2896738323 sameAs 2896738323 @default.
- W2896738323 citedByCount "0" @default.
- W2896738323 crossrefType "book-chapter" @default.
- W2896738323 hasAuthorship W2896738323A5041913859 @default.
- W2896738323 hasConcept C108713360 @default.
- W2896738323 hasConcept C11413529 @default.
- W2896738323 hasConcept C119857082 @default.
- W2896738323 hasConcept C127413603 @default.
- W2896738323 hasConcept C144133560 @default.
- W2896738323 hasConcept C162853370 @default.
- W2896738323 hasConcept C21547014 @default.
- W2896738323 hasConcept C3018434026 @default.
- W2896738323 hasConcept C41008148 @default.
- W2896738323 hasConcept C44104985 @default.
- W2896738323 hasConcept C8880873 @default.
- W2896738323 hasConceptScore W2896738323C108713360 @default.
- W2896738323 hasConceptScore W2896738323C11413529 @default.
- W2896738323 hasConceptScore W2896738323C119857082 @default.
- W2896738323 hasConceptScore W2896738323C127413603 @default.
- W2896738323 hasConceptScore W2896738323C144133560 @default.
- W2896738323 hasConceptScore W2896738323C162853370 @default.
- W2896738323 hasConceptScore W2896738323C21547014 @default.
- W2896738323 hasConceptScore W2896738323C3018434026 @default.
- W2896738323 hasConceptScore W2896738323C41008148 @default.
- W2896738323 hasConceptScore W2896738323C44104985 @default.
- W2896738323 hasConceptScore W2896738323C8880873 @default.
- W2896738323 hasLocation W28967383231 @default.
- W2896738323 hasOpenAccess W2896738323 @default.
- W2896738323 hasPrimaryLocation W28967383231 @default.
- W2896738323 hasRelatedWork W1544874892 @default.
- W2896738323 hasRelatedWork W1899124022 @default.
- W2896738323 hasRelatedWork W1948968362 @default.
- W2896738323 hasRelatedWork W1992535856 @default.
- W2896738323 hasRelatedWork W2043548086 @default.
- W2896738323 hasRelatedWork W2138437940 @default.
- W2896738323 hasRelatedWork W2166760632 @default.
- W2896738323 hasRelatedWork W2345453041 @default.
- W2896738323 hasRelatedWork W2355392872 @default.
- W2896738323 hasRelatedWork W2362087874 @default.
- W2896738323 hasRelatedWork W2382502100 @default.
- W2896738323 hasRelatedWork W2391244863 @default.
- W2896738323 hasRelatedWork W2870431367 @default.
- W2896738323 hasRelatedWork W2883835884 @default.
- W2896738323 hasRelatedWork W2954636980 @default.
- W2896738323 hasRelatedWork W3000573483 @default.
- W2896738323 hasRelatedWork W3149150630 @default.
- W2896738323 hasRelatedWork W3150750408 @default.