K. Rangarajan

Bio: K. Rangarajan is an academic researcher from VIT University. The author has contributed to research in topics: Holding cost & Economic order quantity. The author has an hindex of 1, co-authored 5 publications receiving 2 citations.

An optimal EOQ inventory model for non-instantaneous deteriorating items with various time dependent demand rates and time dependent holding cost

Abstract: An economic order quantity inventory model for non-instantaneous deteriorating items has been developed with cubic demand rate, cubic deterioration rate and time dependent holding cost. Shortages in inventory are allowed in this model. In shortage period, partial and complete backlogging cases are considered. The main objective of this model is to develop an optimal policy that minimizes the total average inventory cost and optimal order quantity. Numerical examples are used to illustrate the developed model

Two Warehouse Optimal Inventory Model for Non-Instantaneous Deteriorating Items

Abstract: In this article, an optimal ordering policy for the stock model of items, whose deterioration starts after a certain period of time under the dispatching policy Last in First Out (i.e. LIFO) in owned and rented warehouses is presented with the demand of the product increases up to a certain point and that remains constant, deterioration rate which depends on time and inflation. The main aim of the present article is to find an optimal inventory model, which minimizes the total stock cost. Finally, this model is analyzed through by numerical examples .

Analysis of an EOQ Inventory Model for Deteriorating Items with Different Demand Rates

Abstract: In this article, we proposed and analyzed the EOQ inventory model for constant deteriorating items with various demand rates such as constant, linear and quadratic function of time and time dependent holding cost. The main objective of this model is to minimize the total cost without shortages. Finally, through numerical examples and sensitivity analysis, we depict the significance of the total cost and the cycle period.

An Optimal Deterministic Two-Warehouse Inventory Model for Deteriorating Items

Abstract: In this paper, an optimal deterministic two-warehouse inventory model for non-instantaneous deteriorating items under the dispatching policy of last in, first out (LIFO) has been developed. The demand rate and deterioration rate of an item are considered as ramp type and time dependent. Time dependent holding cost, inflation and shortages in inventory are allowed, which is partially backlogged are the various factors considered in this model. The main objective of this model is to develop an optimal policy, which minimizes the total average inventory cost. Finally, this model is illustrated, thoroughly by numerical examples.

EOQ and EPQ Production-Inventory Models with Variable Holding Cost: State-of-the-Art Review

Abstract: In production-inventory control, economic order quantity (EOQ) and economic production quantity (EPQ) models are used to determine the optimal order quantities for purchasing and manufacturing. Most EOQ and EPQ models are constructed assuming constant costs. Recently, however, EOQ/EPQ models assuming varying costs (i.e., holding, ordering, and purchasing costs) have been receiving considerable attention. The objective of this paper is to review and classify EOQ and EPQ inventory models formulated under the assumption of variable holding costs. The relevant papers are reviewed and classified into three main types: time-dependent holding cost, stock-dependent holding cost, and multiple dependence or other holding cost variability. Additional classification is proposed for the reviewed models according to their objectives, solution methods, and applications. The paper identifies research trends and includes several suggestions for future research directions.

Is imperfect evaluation a deterrent to adoption of energy audit recommendations

Abstract: PurposeEnergy-efficiency leads to productivity gains as it can lower operating and maintenance costs, increase production yields per unit of manufacturing input and improve staff accountability. Implementation of energy-efficient technologies amongst industries, the factors influencing them and the barriers to their adoption have been the subject of several studies during the past three to four decades. Though energy-use behaviours of individuals or households are sufficiently explored, industrial energy conservation behaviour is scarcely studied. This study identifies the relationship between the different behavioural elements to open up a door for behaviourally informed intervention research.Design/methodology/approachTotal interpretive structural modelling technique was used to determine the relationship between different elements of the behaviour of energy managers. Expert responses were collected to understand the relationship between the behavioural elements, through telephone interviews.FindingsThe study identified the relationship between the behavioural elements and found imperfect evaluation as the key element with the highest driving power to influence other elements.Research limitations/implicationsThe authors postulate that a behaviourally informed intervention strategy that looks into the elements with high driving power such as imperfect evaluation, lack of focus on energy-saving measures and the lack of sharing energy-saving objectives can lead to: an increase in the adoption of energy efficiency measures and thereby a reduction in the energy efficiency gap; greater productivity gains and reduced greenhouse gas (GHG) emissions; Preparation of M&V protocol that incorporates behavioural, organisational and informational barriers.Social implicationsVarious policy level interventions and regulatory measures in the energy field which did not address the behavioural barriers are found unsuccessful in narrowing the energy-efficiency gap, reducing the GHG gas emissions and global warming. Understanding the key driving factor of behaviour can help to design an effective intervention strategy to address the barriers to energy efficiency improvement.Originality/valueUnderstanding the key driving factor of behaviour can help to design an effective intervention strategy to address the barriers to energy efficiency improvement. This study argues that through the systematic analysis of the imperfect evaluation of energy audit recommendations, it is possible to increase the adoption of energy efficiency measures that can lead to greater productivity gains and reduced GHG emissions.

Two warehouse inventory model for deteriorating items with fixed shelf-life stock-dependent demand and partial backlogging

Abstract: In inventory management self life expiration date has a unique role. In the practice there are many goods and services such as food, medication remain safe and suitable for human consumption until it exist their shelf life. In this paper, we implemented a fixed shelf life of a deterministic inventory model for decaying items in two warehouses system with partial backlogging. The demand rate is considered stock dependent means that demand inclined by display of the stock level. In two warehouse system we are considering one own warehouse and second warehouse is on rented basis. The preservation facility is good in rented warehouse than own warehouse. Due to various preserve conditions, deterioration rate in two warehouses may be differs. In addition, backlogging rate is time dependent which is inversely proportional to the waiting time for the next cycle. The model is also justified by the numerical examples under two cases and also sensitivity analysis is carried out with various parameters by using MATLAB R16b.

An EOQ Model for Deteriorating Items with Time Dependent Demand

Abstract: In this paper, an EOQ model is developed to construct the optimal ordering policies for the inventory system which have the deteriorating items follows the two-parameter Weibull distribution. The demand parameter is considered as time dependent demand and shortages are allowed in this study. In order to determine the best values for the order quantity, total cost, and replenishment time, the problem was analytically solved.

An EOQ model for non-instantaneously deteriorating items under permissible delay in payments and inflation

Abstract: In today’s competitive business transactions, the supplier is trying to attract retailer by giving many attracting offers. Trade credit, where extra time is given to settle the amount is one of the most attracting features. The demand is proportional to price and time parameter with partial backlogging. Hence in this study while drafting the EOQ Model, a trade credit policy has been adopted for non-instantaneous deteriorating items. This profit maximization model is established to find order quantity, optimal replenishment cycle time and optimal selling price. Finally, for the proper demonstration of model, a numerical example is given.