Matches in SemOpenAlex for { <https://semopenalex.org/work/W2046817533> ?p ?o ?g. }
- W2046817533 endingPage "217" @default.
- W2046817533 startingPage "204" @default.
- W2046817533 abstract "This article presents an effective solution method for a two-layer, NP-hard sustainable supply chain distribution model. A DoE-guided MOGA-II optimiser based solution method is proposed for locating a set of non-dominated solutions distributed along the Pareto frontier. The solution method allows decision-makers to prioritise the realistic solutions, while focusing on alternate transportation scenarios. The solution method has been implemented for the case of an Irish dairy processing industry's two-layer supply chain network. The DoE generates 6100 real feasible solutions after 100 generations of the MOGA-II optimiser which are then refined using statistical experimentation. As the decision-maker is presented with a choice of several distribution routes on the demand side of the two-layer network, TOPSIS is applied to rank the set of non-dominated solutions thus facilitating the selection of the best sustainable distribution route. The solution method characterises the Pareto solutions from disparate scenarios through numerical and statistical experimentations. A set of realistic routes from plants to consumers is derived and mapped which minimises total CO2 emissions and costs where it can be seen that the solution method outperforms existing solution methods." @default.
- W2046817533 created "2016-06-24" @default.
- W2046817533 creator A5013844043 @default.
- W2046817533 creator A5069265686 @default.
- W2046817533 creator A5084662812 @default.
- W2046817533 date "2015-02-01" @default.
- W2046817533 modified "2023-10-03" @default.
- W2046817533 title "A solution method for a two-layer sustainable supply chain distribution model" @default.
- W2046817533 cites W1585553430 @default.
- W2046817533 cites W1837714573 @default.
- W2046817533 cites W1965856911 @default.
- W2046817533 cites W1967058392 @default.
- W2046817533 cites W1968394746 @default.
- W2046817533 cites W1968979237 @default.
- W2046817533 cites W1970573054 @default.
- W2046817533 cites W1973487980 @default.
- W2046817533 cites W1974082921 @default.
- W2046817533 cites W1978161652 @default.
- W2046817533 cites W1980733204 @default.
- W2046817533 cites W1984118375 @default.
- W2046817533 cites W1984197114 @default.
- W2046817533 cites W1985662483 @default.
- W2046817533 cites W1989974478 @default.
- W2046817533 cites W1990700127 @default.
- W2046817533 cites W1992447230 @default.
- W2046817533 cites W1995477767 @default.
- W2046817533 cites W1999071619 @default.
- W2046817533 cites W2000138747 @default.
- W2046817533 cites W2003677825 @default.
- W2046817533 cites W2007012838 @default.
- W2046817533 cites W2011857005 @default.
- W2046817533 cites W2014114374 @default.
- W2046817533 cites W2015785429 @default.
- W2046817533 cites W2020407132 @default.
- W2046817533 cites W2022048256 @default.
- W2046817533 cites W2025952575 @default.
- W2046817533 cites W2026816730 @default.
- W2046817533 cites W2027305712 @default.
- W2046817533 cites W2029350737 @default.
- W2046817533 cites W2031733044 @default.
- W2046817533 cites W2034000504 @default.
- W2046817533 cites W2038947920 @default.
- W2046817533 cites W2040546552 @default.
- W2046817533 cites W2040727517 @default.
- W2046817533 cites W2041632134 @default.
- W2046817533 cites W2043496704 @default.
- W2046817533 cites W2044000905 @default.
- W2046817533 cites W2046204486 @default.
- W2046817533 cites W2052791118 @default.
- W2046817533 cites W2053741164 @default.
- W2046817533 cites W2057762674 @default.
- W2046817533 cites W2060428184 @default.
- W2046817533 cites W2066535472 @default.
- W2046817533 cites W2072741828 @default.
- W2046817533 cites W2075462430 @default.
- W2046817533 cites W2080905616 @default.
- W2046817533 cites W2082034461 @default.
- W2046817533 cites W2083030584 @default.
- W2046817533 cites W2088432783 @default.
- W2046817533 cites W2090435272 @default.
- W2046817533 cites W2097048331 @default.
- W2046817533 cites W2100709050 @default.
- W2046817533 cites W2108536179 @default.
- W2046817533 cites W2110205957 @default.
- W2046817533 cites W2113682363 @default.
- W2046817533 cites W2118457689 @default.
- W2046817533 cites W2130697977 @default.
- W2046817533 cites W2135305459 @default.
- W2046817533 cites W2143366252 @default.
- W2046817533 cites W2145603433 @default.
- W2046817533 cites W2153176832 @default.
- W2046817533 cites W2160444496 @default.
- W2046817533 cites W2163071284 @default.
- W2046817533 cites W2165869662 @default.
- W2046817533 cites W2168127659 @default.
- W2046817533 cites W3021609265 @default.
- W2046817533 cites W3023836272 @default.
- W2046817533 cites W1999406036 @default.
- W2046817533 doi "https://doi.org/10.1016/j.cor.2014.06.015" @default.
- W2046817533 hasPublicationYear "2015" @default.
- W2046817533 type Work @default.
- W2046817533 sameAs 2046817533 @default.
- W2046817533 citedByCount "68" @default.
- W2046817533 countsByYear W20468175332014 @default.
- W2046817533 countsByYear W20468175332015 @default.
- W2046817533 countsByYear W20468175332016 @default.
- W2046817533 countsByYear W20468175332017 @default.
- W2046817533 countsByYear W20468175332018 @default.
- W2046817533 countsByYear W20468175332019 @default.
- W2046817533 countsByYear W20468175332020 @default.
- W2046817533 countsByYear W20468175332021 @default.
- W2046817533 countsByYear W20468175332022 @default.
- W2046817533 countsByYear W20468175332023 @default.
- W2046817533 crossrefType "journal-article" @default.
- W2046817533 hasAuthorship W2046817533A5013844043 @default.
- W2046817533 hasAuthorship W2046817533A5069265686 @default.
- W2046817533 hasAuthorship W2046817533A5084662812 @default.
- W2046817533 hasBestOaLocation W20468175332 @default.