Conglomerate Charge and Merchandise Swayed Inventory Model for Fragile Vendibles
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.1.06Keywords:
Conglomerate charge, Cloudy Normalized Triangular Fuzzy Number, Convex combination - linear and non-linear price dependent demand, Fragile vendibles, Hybrid price, Pre-PaymentDimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Current business policy on marketing is very much challenging and competitive that every seller has to attract the customers by using various types of discount strategies. Apart from the common practice of trade and quantity discounts, the discount due to the pre-payment facility becomes a new trend in the market dynamics which is a motivation for every customer to buy goods. The inventory management considers customer’s demand as a key parameter which depends on certain factors like selling price, availability of the stock, time, quality of product, eco-friendliness of the product, impreciseness and so on. In the mathematical modelling for perishable goods the deterioration rate depends on certain factors like time, temperature, humidity, randomness etc. The optimal strategy of an inventory system for perishable goods with hybrid demand dependent on selling price and stock under the partial backlogging with a certain fixed ratio is fulfilled through Ranking Index method on Cloudy Normalised Triangular Fuzzy Number.Abstract
How to Cite
Downloads
Similar Articles
- Tewoderos Legesse, Bekelech Sharew, Evaluation of white seeded sesame (Sesamum indicium L.) genotypes on growth and yield performance in Menit Goldya Woreda of West Omo Zone, SWE , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Rita Ganguly, Dharmpal Singh, Rajesh Bose, The next frontier of explainable artificial intelligence (XAI) in healthcare services: A study on PIMA diabetes dataset , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- U. Johns Praveena, J. Merline Vinotha, A New Approach for Solving Bilevel Fractional/quadratic Green Transportation Problem by Implementing AI with Multi Choice Parameters Under Uncertainty , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- Krishna P. Kalyanathaya, Krishna Prasad K, A framework for generating explanations of machine learning models in Fintech industry , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Bommaiah Boya, Premara Devaraju, Integrating clinical and ECG data for heart disease prediction: A hybrid deep learning approach based on two modalities with particle swarm optimization , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Y. Mohammed Iqbal, M. Mohamed Surputheen, S. Peerbasha, A COVID Net-predictor: A multi-head CNN and LSTM-based deep learning framework for COVID-19 diagnosis , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- Amudavalli L, K. Muthuramalingam, Integrated energy-efficient routing and secure data management for location-aware wireless sensor networks with PFO leveraged improved fuzzy unequal clustering algorithm (IFUC) , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Pavani Guntaka, M. Changal Raju, Mopuri Obulesu, A numerical study of unsteady MHD free convection flow with heat and mass transfer across an inclined porous plate, taking hall current and dufour effects by FDM , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Anita M, Shakila S, Stochastic kernelized discriminant extreme learning machine classifier for big data predictive analytics , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- R. Chandra, R. P. Singh, B. K. Prasad, Effect of Genotype and Explant on Shoot Regeneration in Brassica juncea , The Scientific Temper: Vol. 11 No. 1&2 (2020): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Nalini S, Ritha W, Inventory model considering trade discounts and scrap disposal with sustainability , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- Nalini S., Ritha W, Sustainable inventory model with environmental factors using permissible delay in payments , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- Saarumathi R, Ritha W, Impregnable inventory stewardship for a closed loop supply chain besides energy usage, defective production and green investment manoeuvring pentagonal fuzzy number , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- Vinodini R, Ritha W, A green inventory model for deteriorating items while producing overtime with nonlinear cost and stock dependent demand , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- Vinodini R, Ritha W, The economic order quantity model for sustainable green inventory considers deterioration impact on the real-time replacement and various reorder points with imperfect quality items , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- Modenisha U, Ritha W, A mathematical model for sustainable landfill allocation and waste management , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- Vinodini R, Ritha W, Sasitharan Nagapan, The green inventory model for sustainable environment that includes degrading products and backordering with integration of environmental cost , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper

