BITS Faculty Publications

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Author: search.filters.author.Chanda, UdayanSubject: search.filters.subject.EOQ Model

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Now showing 1 - 8 of 8
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    Economic order quantity model with demand influenced by dynamic innovation effect
    (Inder Science, 2011-06) Chanda, Udayan
    Inventory control policies for new-product items are highly perceptive to different marketing policies especially for innovation effects at the earlier stage of the product life cycle but unfortunately classical economic order quantity (EOQ) model do not recognises the innovation driven demand model. In this paper, a time dependent innovation driven demand model has been introduced in the basic EOQ model to calculate the different optimal policies. The proposed model acknowledged relationship between the innovation coefficient and the optimal policies. Four hypotheses were framed in this paper based on the numerical exercise that could explain the impact of dynamic pattern of the innovation coefficient on different optimal policies.
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    Economic order quantity model on inflationary conditions with demand influenced by innovation diffusion criterion
    (Inder Science, 2012) Chanda, Udayan
    In this paper, an inventory model has been proposed based on the explicit assumptions of interaction of marketing parameters to the optimal inventory replenishment policy. This study applies the discounted cash flow (DCF) approach for the analysis of the replenishment problem over a finite planning horizon. The demand rate is a function of time and is assumed to be driven by innovation diffusion process. In addition, a numerical example is performed justifying the need of incorporating the effect of innovation along with the effect of inflation on the optimal inventory replenishment. Sensitivity analysis is also performed to discuss the effectiveness of the proposed framework.
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    Optimisation of fuzzy EOQ model for advertising and price sensitive demand model under dynamic ceiling on potential adoption
    (Taylor & Francis, 2016-02) Chanda, Udayan
    Marketing strategies such as advertising and pricing can play an important role in the acceptance of technology products by consumers. This phenomenon indicates that diffusion of technology products in the society may have strong linkages with unit selling price and advertisement effort. Therefore, management should sincerely reflect on pricing and advertising strategy during formulation of the inventory policies. This paper aims to develop an economic order quantity model for finding strategy for a firm that sells technology products' over a finite planning horizon. Demand is considered to follow a lifecycle phenomenon with dynamic ceiling on the potential adoptions and sensitive to advertising expenditure and unit selling price. The fuzzy criterion has also been incorporated to address the problems of uncertain nature of marketing parameters. The model is illustrated with a numerical example and a comprehensive sensitivity analysis of the optimal solution with respect to different parameters has also been performed.
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    Effect of shape of the demand function and permissible delay in payments on economic order quantity of high technology products
    (Inder Science, 2017-01) Chanda, Udayan
    Often, sales curve of a technology product exhibit a small peak and then decline, before continuing with the traditional bell shaped curve. Under this situation sales curve of the technology products show bimodal pattern. Traditional EOQ models have ignored the bimodal pattern of demand phenomenon during development of the policy frameworks. The approach in this paper is to study the effect of bimodal demand function, on economic order quantity model. Based on hazard rate demand, an integrated EOQ model is discussed in the paper for permissible delay in payments, under the assumption that supplier may offer credit periods to the retailer. The proposed framework is demonstrated with a numerical example and a comprehensive sensitivity analysis is also performed to validate effectiveness of the model.
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    Fuzzy EOQ model of a high technology product under trial-repeat purchase demand criterion
    (Taylor & Francis, 2017-11) Chanda, Udayan
    Accurate prediction and knowledge of adoption pattern is critical to formulate inventory strategies for any technology product. Prior researches in this area recommended that aggregate level demand models often forecast imprecise sales figure. We argue that it is essential to recognize the technology specific adoption dynamics prior to formulate the inventory strategies. This paper aims to develop an Economic Order Quantity (EOQ) model to find strategy for a firm that sells technology products’ over a defined planning horizon. Demand is considered to follow trial-repeat purchase phenomenon. The fuzzy criterion is incorporated to address the problems of uncertain nature of marketing parameters. The model is illustrated with a numerical example and a comprehensive sensitivity analysis on the optimal solution with respect to different parameters has also been performed.
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    Optimization of EOQ Model for New Products under Multi-Stage Adoption Process
    (World Scientific, 2019) Chanda, Udayan
    The available literature on new product sales growth models mostly ignores two important aspects of technology diffusion: diffusion of awareness and the actual adoption. This characteristic of technology adoption is extremely important from inventory management perspective as buying decision is often influenced due to time lag between information propagation and actual adoptions. As high-technology market is extremely unpredictable, interactions between technological evolutions and customer feedback effects play an important role in technology diffusion. The demand models mostly considered in inventory literature to develop economic order quantity (EOQ) model ignore this important element of technology diffusion. In this paper, we proposed an EOQ model for high-technology products by incorporating customer feedback effects along with market heterogeneity to optimize the total inventory cost. The demand model considered in the paper follows lifecycle phenomenon and is sensitive to unit selling price. To remove any ambiguity pertaining to costs, fuzzy nature of ordering and inventory carrying cost is considered in the paper.
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    Economic order quantity model for two generation consecutive technology products under permissible delay in payments
    (IDEAS is a RePEc, 2021) Chanda, Udayan; Nagpal, Gaurav
    In this article, we discussed optimal replenishment policies for two succeeding generations' technology products under partial trade credit financing. It is often seen that in technology market, advanced generation product plays an important role in cannibalising the market of existing generation product. Thus, precise estimation of demand of technology generations' product is critical for taking any policy decisions. Demand estimation of technology products is a complex process, as the consumer buying behaviour of technology generational products is not only depends on marketing mix variables but also associated with the time-to-market phenomenon of new technologies. In technology market, interaction among users of different generational products controls the rate of substitution of older technology products with the new one. Therefore, due to the substitution nature of demand of multi-generation product, it is important to incorporate the interaction-substitution effect in replenishment policies for this kind of products. We used life cycle dynamics to project demand rates of technology generations. In this paper, we formulate the total cost function for five different situations depending upon the new generation introduction timing and length of the trade credit period. A detail sensitivity analysis is been performed to explore the efficacy of the model in a given situation.
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    Multi-Period EOQ Model for Multi-Generation Technology Products With Short Product Life Cycles
    (ACM Digital Library, 2022-07) Chanda, Udayan; Nagpal, Gaurav; Jasti, Naga Vamsi Krishna
    In this paper, the multi-period EOQ model is developed for the technology products that have multiple generations co-existing in the market, with each of them having a very short product life cycle. The paper first develops the framework for computation of inventory-related costs and then minimizes the total replenishment costs using random search technique and approximating the non-linear expressions while using Simpson’s Rule for integration. The paper also provides numerical illustrations and establishes a few important theorems that relate the EOQ to the innovation of diffusions. It is found that the total replenishment cost curve, drawn on the EOQ axis in the case of technology generations is convex to the origin. Since the objective function is highly non-linear, the genetic algorithm has been used to find the solution to the problem. The study also suggests that the faster diffusion of the next generations has a conflicting effect on the EOQ of the first generation in the case of pooled and non-pooled logistics.