Multi-objective perishable multi-item green inventory models with uncertain finite time horizons and constraints by neutrosophic optimisation approach

Chaitali Kar, Manoranjan De, Manoranjan Maiti and Pritha Das

International Journal of Mathematics in Operational Research, 2024, vol. 27, issue 2, 167-198

Abstract: The business period of seasonal products, such as mango, broccoli, etc., is finite over the years due to their availability, which is again uncertain for seasonal variations. According to FAO, about 40% of India's fruits and vegetables perish before reaching consumers. Due to global warming, firms have incorporated carbon management into business decisions. The resources in business are always limited and uncertain. Considering these facts, multi-objective perishable multi-product EOQ models with stock-dependent demand are formulated under crisp, uncertain (fuzzy, random, rough and neutrosophic) time horizons and constraints. The objective is to maximise total profit while minimising wastage costs and carbon emissions. Proposed models are solved using neutrosophic optimisation approach. The multi-objective problems are transformed into single ones using the weighted-sum method and solved through GRG (LINGO 11.0) method. Models are illustrated with numerical examples, and some sensitivity analyses are presented. A trade-off between profit and carbon emission is depicted.

Keywords: inventory; seasonal products; uncertain time horizon; carbon emission; neutrosophic optimisation. (search for similar items in EconPapers)
Date: 2024
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