Volume 4 Issue 2

Authors: Ahmad Jafarian; Mohsen Shafiei Nikabadi; Laya Olfat; Roohollah Khodaverdi

Abstract: Nowadays, the applications of information technology and the Internet in supply chains are changed into a facility for obtaining the competitive advantage. The main goal of this paper is to study the influence of the factors in implementing e-business models on the supply chain performance in auto industry. In this research, firstly, we will address the identification of the set of factors required for implementing e-business in the auto industry. Furthermore, the various dimensions of supply chain performance evaluation in Iran’s auto industry are identified through presenting a new framework to evaluate the indices of supply chain performance. Then various dimensions in two subjects of necessary factors for implementing e-business and supply chain performance are considered. Subsequently, we study the effects of necessary aspects for implementing the e-business on the dimensions of supply chain performance. The identification of different dimensions in the subject of research has been carried out based on a confirmatory factor analysis and then with the help of correlation analysis, we will study the relation of every identified aspect with the performance of the supply chain in the auto industry. According to performed research, it was specified that the necessary factors for implementing the e-business shall have the highest degree of correlation with the operational aspects of supply chain performance evaluation criteria. Then the highest degree of correlation was observed with technical criteria, finally with strategic criteria. We intend to find out the influence of the necessary aspects for implementing e-business on supply chain management (SCM) in the auto industry. So innovative aspects of this research are 1) Expression of factors needed for implementation of the e-business, 2) A newly combined framework for SCM assessment indices, and 3) Study the relation of the factors required for implementing the e-business with supply chain performance criteria.

Keywords: Supply Chain Management; Supply Chain Performance; Electronic Business; Integration; Automotive Industry


Authors: Chandra K Jaggi; Alok Kumar; K. K. Aggarwal

Abstract: The new product diffusion models such as Bass model and their revised and extended forms have played a major role in marketing literature because those models have been widely used for forecasting dynamic demand growth in retail service, industrial technology, consumer durable goods, etc. However, the demand pattern of these models has not been recognized by the models developed in the inventory field. The approach of this paper is to develop an inventory model in which the demand of the product follows extended Bass diffusion model by incorporating price in a multiplicative way. The model is illustrated with a numerical example and a comprehensive sensitivity analysis of the optimal solution with respect to different parameters was performed to make the model more effective.

Keywords: Innovation Diffusion; EOQ; Potential Market Size; Price Dependent Demand


Authors: Sasikanth Eda; Riyazahamad M Shiraguppi; Bhushan P Jain; Sandeep R Patil

Abstract: The dramatic evolution of various disk and memory technologies has helped with the rapid establishment of hybrid storage environment comprising of heterogeneous storage units. In order to provide an improved and effective storage management, there exists a necessity of adapting S.M.A.R.T changes in the storage management stack that enables compact sensing, processing, decision making capability based on the importance of data, disk life span predicted on operational workloads and financial analysis estimating the disk replacement cost etc. This paper reviews system architecture for two faces of RAS (Reliability Availability Serviceability) storage cloud features namely disk breakage prediction independent of disk technology, host aware data tier based on disk life span and subsequently describes operational budget anticipation based on predicted disk failures.

Keywords: Hybrid Disk; Life Span; Curve Fitting; S.M.A.R.T Parameters; SSD; Operational Budget