Department of Management

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Now showing 1 - 10 of 14
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    Parallel iterative algorithms for solving fundamental mode neutron flux distribution
    (Elsevier, 1991) Rajagopalan, Shekhar
    Issues relating to implementing iterative procedures, for numerical solution of neutron diffusion equations on a distributed parallel computing system, are discussed. Preliminary investigations for a reactor modelled on a 128 × 128 rectangular grid show that a speed-up of about 3.85 is achievable on a fourtransputer pipeline network.
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    Multi-Objective facility layout problem: A state-of-the-art review paper
    (ICFAI, 2008) Matai, Rajesh
    It has been over two decade since Rosenblatt (1979) published his work on multi-objective facility layout problem (MFLP). Since then, there have been modifications/ improvements to his work. Many other models to solve MFLP have also been proposed. Similarly, many heuristics and iterative procedures have been proposed to solve multi-objective facility layout problem. However, no comprehensive review work on multi-objective facility layout problem has been undertaken so far. In this paper we review the different works of research that have been carried out in the area of multi-objective facility layout problem particularly and discuss the future research directions.
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    Word of expertise to solve SCM issues
    (SCMS, Noida, 2009) Sharma, Satyendra Kumar; Bhat, Anil Kumar
    Su p p l y C h a i n M a n a g e m e n t i s a t t r a c t i n g t h e a t t e n t i o n o f a c a d e m i c i a n s a n d p r a c t i t i o n e r s . A l l t h r e e f u n c t i o n s i . e . m a n u f a c t u r i n g s u p p o r t , p r o c u r e m e n t a n d p h y s i c a l d i s t r i b u t i o n a r e t a k e n a s a s i n g l e a n d u n i f i e d f u n c t i o n . D i f f e r e n t c o m p a n i e s a r e i n v o l v e d t o p e r f o r m a l l t h e s e f u n c t i o n s a t t h e i r p r e m i s e s a r o u n d t h e w o r l d a t d i f f e r e n t l o c a t i o n s , b u t t h e u l t i m a t e o b j e c t i v e o f a l l s u p p l y c h a i n e n t i t i e s i s d e l i v e r i n g c u s t o m e r d e l i g h t . G l o b a l i z a t i o n , o u t s o u r c i n g e t c , a r e r e s p o n s i b l e f o r i n c r e a s e d d e p e n d e n c i e s a m o n g f i r m s . F i r m s a r e d e p e n d e n t o n e a c h o t h e r f o r t h e i r g o a l a c c o m p l i s h m e n t . Tw o t y p e s o f d e p e n d e n c i e s e x i s t b e t w e e n f i r ms: time dependencies and functional dependencies. This paper examines how the supply chain management solves the s t r a t e g i c i s s u e s m a i n l y r e l y i n g o n l i t e r a t u r e a n d o p i n i o n s o f e x p e r t s i n t h e f i e l d .
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    Consumer reactions to retail out-of-stock: replication into new contexts
    (Inder Science, 2008-04) Rani, Leela
    This study empirically examines the impact of situational, consumer, store and product characteristic variables on consumers' behavioural reactions in out-of-stock situations in retail. A survey method for data collection was used with a sample of 1,207 retail customers in India's unorganised retail sector across five product categories in Varanasi, India. Results showed that 11 out of 13 independent variables had a significant impact on at least one of the three behavioural responses considered. As the data was collected only for five product categories and for unorganised retail setting, findings are not generalisable beyond these limitations. Empirical research like this helps to develop an understanding about the consumer behaviour which differs widely across settings. It is one of the first studies in an unorganised retail in India. Study provides crucial insights to the retailers by identifying independent variables that must be considered while designing their operations and strategies to fight out-of-stock. Implications for the retailers and the future research are discussed.
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    Understanding consumer’s attitude towards retail store in stockout situations
    (Emerald, 2007) Rani, Leela
    This study aims to examine empirically how consumers’ attitude towards retail stores gets affected by situational, consumer, store and product characteristic variables when they face outof-stock situations.
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    Evaluating performance of national R&D organizations using integrated DEA‐AHP technique
    (Emerald, 2008-06) Tikoria, Jyoti
    The purpose of this paper is to evaluate and compare the performance of national R&D organizations in India in terms of their relative efficiencies using a multiple output measurement criteria incorporating the quality of the output measures.
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    Performance measurement of national R&D organisations using analytic hierarchy process: a case of India
    (Inder Science, 2009) Tikoria, Jyoti
    Evaluating and comparing the performance of different R&D organisations in a homogeneous or heterogeneous group in the fairest way is a very complex and yet challenging task. This paper provides a framework and a system to the national policy makers and the performance monitoring committee for designing a standard multiple performance measurement criteria for evaluating and comparing the performance of national R&D organisations. In this paper, analytic hierarchy process (AHP) technique has been applied to develop the framework of multiple performance measurement criteria, deriving their respective weights and system for comparing the performance of a group of Indian national R&D organisations involved in applied as well as basic research in chemical and botanical sciences. The framework and the system developed have been applied by taking an illustration to evaluate and compare the performance of six national R&D organisations in terms of their benefit-cost ratio.
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    Dynamic Optimal Advertising Expenditure Strategies for Two Successive Generations of High Technology Products
    (World Scientific, 2009) Chanda, Udayan
    Advertising plays a very important role in drawing consumer attention to new-products and in encouraging early adoptions. The problem of drawing optimal advertising plans for innovations have therefore has received a lot of attention from marketing managers and researchers. But there is need for further research on problems pertaining to new-products that are part of technological generations. This chapter deals with the determination of optimal advertising expenditure for two-generation consumer durables. The model considers intergenerational diffusion effect and also introduces a framework for modeling innovation diffusion for two competing generations.
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    A model for adoption of successive generations of a high technology product
    (Inder Science, 2007) Chanda, Udayan
    Modelling the new product sales growth and forecasting future sales has been an important area of research in Marketing Science. Models have been proposed to map the consumer buying behaviour against explanatory variables such as price, promotional effort, quality, time, etc. In comparison, high technology products have received less attention. These products usually have many generations, each succeeding generation being an improvement over the previous one. This paper discusses some well-known models in this area and also proposes a new one. The new model uses the relationship between the repeat purchasers and the new purchasers in the overall diffusion of a new technology over multiple generations, by separately identifying the two types of adopters. This model has been validated on sales-data and has also been compared to an established model.
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    A study of the diffusion parameters and marketing decision variables for a family of technological innovations
    (Inder Science, 2008) Chanda, Udayan
    Business organisations introduce new products in the market to beat competition and increase profit. For high-technology products, continuous innovations promise better performance, feature enhancements and quality improvement. Often, consecutive technology generations compete in the market, which calls for synergistic decision-making on marketing variables. At around the time of its introduction, the time path of prices for two competing technologies can show interesting patterns vis-a-vis their sales. It is important to understand the influence of marketing variables on consumer psychology to predict the adoption process of new technology. This paper focuses on studying the relative changes in diffusion parameters and marketing decision variables through sales models developed for multiple-generation products