International Journal of Neutrosophic Science
IJNS
2690-6805
2692-6148
10.54216/IJNS
https://www.americaspg.com/journals/show/1917
2020
2020
Rework Warehouse Inventory Model for Product Distribution with Quality Conservation in Neutrosophic Environment
Department of Mathematics, Madurai Kamaraj University, Madurai-625021, Tamil Nadu, India
Renee Miriam.
M.
Department of Mathematics, Arul Anandar College (Autonomous), Karumathur, Madurai-625514, Tamil Nadu, India
Nivetha
Martin
Department of Management, PSNA College of Education and Technology, Dindigul-624622, Tamil Nadu, India
Aleeswari.
A.
Laboratory of Information Processing, Faculty of Science Ben M’Sik, University of Hassan II, Casablanca, Morocco & Regional Center for the Professions of Education and Training (C.R.M.E.F), Casablanca, Morocco.
Said
Broumi
In general, companies are investing a lot of energy and time in conserving the quality of the products. The customers use the attribute of quality as the measuring index of the efficiency of these companies. Quality sustenance is not a phase, but it is a process which must be carried out till the product reaches the end consumer. This is possible by expanding the mechanisms of quality conservation to the spheres of product distribution in addition to product production. In view of it, this research work develops an inventory model with the idea of rework warehouse for the first time. The model formulated in this paper is discussed in a crisp sense and later extended to neutrosophic environments with the intention of making it more accommodative to various business constraints. The numerical example presented in this paper substantiates the proposed model with the application of Particle Swarm optimization. Sensitivity analysis is made with modifications with the changes of crisp and neutrosophic parameters. The model introduced in this work supports decision makers in deriving optimal solutions to the inventory problem associated with quality constraints and this work shall also be extended with the inclusion of other cost parameters, assumptions and constraints associated with product distribution.
2023
2023
177
195
10.54216/IJNS.210215
https://www.americaspg.com/articleinfo/21/show/1917