Intuitionistic Fuzzy Inventory Model with Deterioration Incorporating Advance Payment with Time-Dependent Demand

Supakar, Puja; Mahato, Sanat Kumar; Pal, Pintu

doi:10.1007/s40819-021-01149-5

Cited by 3 publications

(1 citation statement)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, Garai and Garg [20] used generalised trapezoidal intuitionistic fuzzy numbers to develop a multi-objective linear fractional EOQ model. Supakar et al [50] established an intuitionistic EOQ model, and the model was defuzzified using the Signed-distance method. Recently, Kumar et al [25] presented an EOQ model under intuitionistic fuzzy random demand.…”

Section: Introductionmentioning

confidence: 99%

Cost Optimization of an Inventory Control Problem in Neutrosophic Environment for Smart Manufacturing

Mohanta

Sarkar²,

Dey³

et al. 2023

Preprint

View full text Add to dashboard Cite

This paper deals with real-world inventory problems considering the natural idle time like weekly off days and daily closure time. So a cost minimization economic order quantity model is developed considering the idle time costs. In this model, the inventory processing time is divided into two parts: opening time and closing time and also weekly off-day are considered. In a crisp model, a constant rate of deterioration is considered. The deterioration rate, demand rate, and other inventory costs are treated as linear symmetric generalized trapezoidal single-valued neutrosophic numbers to make the model more realistic. The neutrosophic average cost has been derived, and then it is De-neutrosophied using the mean interval method. Hence optimal order quantity, optimal closing and opening time have been derived. Finally, a case study is taken into consideration to support the model, and sensitivity analysis is also presented to justify the model.

show abstract

Section: Introductionmentioning

confidence: 99%