Jayasankari Chandramohan

@sreesakthi.edu.in

Assistant Professor, Department of Science and Humanities
Sree Sakthi Engineering College, Autonomous, Karamadai, Coimbatore- 641 104

Jayasankari Chandramohan


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https://researchid.co/raghu150696

RESEARCH, TEACHING, or OTHER INTERESTS

Management Science and Operations Research, Statistics, Probability and Uncertainty, Control and Optimization, Statistics and Probability
6

Scopus Publications

Scopus Publications

  • Inventory model for non-instantaneous deteriorating items with hybrid price and stock dependent demand in the view of delay in payments, inflation and customer returns
    Jayasankari Chandramohan, Uthayakumar Ramasamy
    International Journal of Operational Research, 2026
    This study creates an inventory model for a product that deteriorates gradually over time, with a hybrid price and stock-dependent demand that is affected by inflation and customer returns. We know from experience that demand is not necessarily constant, linear, or nonlinear; it is uncertain. The selling price, stock, and time value of money all influence demand. Shortages are allowed and partially backlogged. Customer returns are thought to rise in direct proportion to the portion vended and the product cost. The principle goal is to find the ideal cost structure, the time when there is no supply shortage, the appropriate restocking cycle, and the order amount all at the same time. The actual value of total profit is maximised over an indefinite time horizon.
  • A two-phase production inventory model for imperfect quality items with multivariate demand, upstream and downstream credit period offers under a carbon tax, and green subsidy
    C. Jayasankari, R. Uthayakumar
    Journal of Control and Decision, 2026
    Generating customer-friendly products is a big task nowadays. Green products are famous all over the world now. In quite few manufacturing processes, carbon emissions become an unavoidable fact. To reduce emissions, the government enacted enormous rules and regulations. This developed model consists of a supply chain with two phase production containing defective products and rework through the same manufacturing system, where the product deterioration is considered after production and rework (i.e. where the deterioration starts when the product is out for sale), as three cases: (1) no deterioration, (2) instantaneous deterioration and (3) non-instantaneous deterioration. Demand function is selling price, green product price, advertisement and credit period dependent for first two cases and for case 3, the market scale of the demand is exponentially increasing considering uncertainty. Supplier offers a full credit period offer to the retailer and the retailer gives a partial credit period offer to his customer. Various methods are implemented to reduce carbon emissions during various production processes, and we have implemented preservation technology to reduce emissions even with a carbon tax policy involved. With government subsidies, the greenness of the product is considered to make it more environmental friendly. Numerical examples and sensitivity analysis are carried out to verify the results of the developed model.
  • An inventory model for cold storage item with variable production, credit period offer and emission reduction
    Jayasankari Chandramohan, Naif Almakayeel, Radha M
    International Journal of Systems Science Operations and Logistics, 2026
  • A joint replenishment inventory model for substitutable deteriorating items under advance payment with price discounts
    C. Jayasankari, R. Uthayakumar
    Journal of Management Analytics, 2025
    The substitution process is the most impeccable one in the inventory model for deteriorating items considering their lifetime issues. In this developed model, we worked on the inventory system for substitutable deteriorating items (product 1 and product 2); and both products are similar. The demand of the product is considered to have three different types, including constant, price-dependent, and promotional effort-dependent demand, to show the uncertainty of demand for a product in real life, and it is a manufacturer-retailer supply chain, where the manufacturer gives the pre-payment option and also cash discount to the retailer. In the substitution phase, we considered three various cases according to the inventory level of products 1 and 2. Direct and indirect carbon emissions in production and transportation were also considered. Numerical examples were used to verify the developed model. Sensitivity analysis was carried out to verify the obtained optimal values.
  • A comprehensive inventory management system for non-instantaneous deteriorating items in supplier- retailer-customer supply chains
    Jayasankari Chandramohan, Ruba Priyadhasrhini Asoka Chakravarthi, Uthayakumar Ramasamy
    Supply Chain Analytics, 2023
    This study develops an inventory management system for non-instantaneous deteriorating items in a supplier-retailer-customer supply chain. The proposed model considers carbon emissions during production and applies a carbon tax to regulate the emission. Promotional prices are considered to boost demand. The supplier offers a credit period to the retailer and the retailer to the customers. Imperfect products in the proposed model are separated from the lot using an inspection process performed by the retailer. Finally, a learning process is proposed to spot misclassified products and avoid using misclassification errors. Two models with and without shortages are further developed in this study. The proposed model considers imperfect quality, non-instantaneous deteriorating items based on learning effects, multi-variate demands, and multi-credit periods with the carbon tax. Models with and without shortages are also developed. Numerical examples and sensitivity analysis are provided to verify the applicability and demonstrate the efficacy of the model proposed in this study.
  • A multi-objective economic production quantity model for deteriorating items with impact of the pandemic, social and environmental concerns
    Jayasankari Chandramohan, Uthayakumar R.
    Journal of Industrial and Production Engineering, 2023
    The COVID-19 outbreak has posed significant challenges to the worldwide supply chain. As result, there is an urgent need to develop a model for the manufacturer that includes multi-phase manufacturing with fluctuating demand during various levels of pandemic and a supply system that takes into account the environmental benefits of the product and production. This study recommends inventory model to the company for estimating optimal production amount and replenishment cycle in order to reduce overall cost and maximize profit along with green product pricing and carbon tax. The current study considers models with and without shortages for instantaneously deteriorating commodities. Because of the social awareness concern, firms can avoid the suffering from labor shortage during the pandemic crisis. Numerical examples are given to demonstrate the model’s use. A sensitivity analysis of crucial factors was performed in order to uncover more sensitive parameters that offer a clear portrayal of current concerns.