Multi-objective green 4-dimensional transportation problems for damageable items through type-2 fuzzy random goal programming

As per ECOFYS’s11https://ingmarschumacher.files.wordpress.com/2013/05/asn-ecofys-2013-world-ghg-emissions-flow-chart-2010.pdf. report, road transportation contributes 10.5% of the GHGE, which is the cause of global warming. With the infrastructural developments, there are several routes between diff...

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Veröffentlicht in:Applied soft computing Jg. 130; S. 109681
Hauptverfasser: Aktar, Md. Samim, De, Manoranjan, Mazumder, Sanat Kumar, Maiti, Manoranjan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.11.2022
Schlagworte:
4-dimensional transportation problem
Carbon emission
Enhanced Karnik-Mendel algorithm
Retailer satisfaction
Type-2 fuzzy random goal programming
Carbon emission
Retailer satisfaction
Enhanced Karnik-Mendel algorithm
4-dimensional transportation problem
Type-2 fuzzy random goal programming
ISSN:1568-4946, 1872-9681
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Zusammenfassung:As per ECOFYS’s11https://ingmarschumacher.files.wordpress.com/2013/05/asn-ecofys-2013-world-ghg-emissions-flow-chart-2010.pdf. report, road transportation contributes 10.5% of the GHGE, which is the cause of global warming. With the infrastructural developments, there are several routes between different cities, even in developing countries. In a business, objectives’ goals are always uncertain. With these facts, in this investigation, a multi-objective green four-dimensional transportation problem for damageable items is formulated and solved. Here four objectives — minimization of operational cost, transportation time, carbon emission amount and maximization of retailers’ satisfaction, whose goals are type-2 fuzzy random are considered. There are several connecting paths between sources and destinations with varied traffic congestion and maximum possible velocities for different conveyances. To get a better compromise solution for multi-objectives, the type-2 fuzzy random goal programming method (T2FRGPM) is developed using the Enhanced Karnik-Mendel algorithm for type reduction of type-2 fuzzy set The model is solved by the proposed T2FRGPM and illustrated with some numerical data using Lingo 11.0. A real-life example and several particular models are presented. The effectiveness of the proposed method, the importance of the four-dimensional transportation problem, and the objectives are established. A trade-off between transportation time and carbon emission amount is presented. •Type-2 fuzzy random goal programming method introduced for multi-objective solution.•Novel multi-objective green 4-dimension transportation problems (MOG4DTPs) formulated.•Transportation cost, time, carbon emission minimized, retailer satisfaction maximized.•Enhanced Karnik-Mendel algorithm is used for type reduction of type-2 fuzzy.•A real life MOG4DTP model for damageable items is illustrated.
ISSN:1568-4946
1872-9681
DOI:10.1016/j.asoc.2022.109681