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Sreekumar,Rourkela Institute of Management Studies | Mahalik D.K.,Sambalpur University | Patel G.,Birla Institute of Technology
International Journal of Information Systems and Supply Chain Management

The increasing rate of technology growth has resulted in decrease in cost of information. These technologies are helpful in coordinating the activities resulting in effective management of the supply chain. Literature shows that the use of Information Technology (IT) plays an important role in managing the processes of SCM. This has resulted in increasing use of IT in SCM. The computerization of SCM processes, if implemented in one go may result in failure. IT implementation prioritization in supply chain is a major issue before the planner as there is no clear cut formula to solve this problem. This paper considers components of SCM like material management, purchase management, production management, logistics and distribution and customer interface for IT implementation prioritization. Two multi-criteria decision making methods (MCDM) viz. analytical hierarchy process (AHP) and a technique for order preference by similarity to ideal solution (TOPSIS) are used in this paper. The novelty of the paper lies in integration of AHP and TOPSIS methods for IT implementation prioritization. The weights of the criterions and the alternatives are calculated using AHP method which is used as an input for TOPSIS analysis for prioritization of IT implementation. Copyright © 2010, IGI Global. Source

Panda R.K.,National Institute of Technology Rourkela | Sreekumar,Rourkela Institute of Management Studies
Journal of International Food and Agribusiness Marketing

In agribusiness, profitability critically depends on the choice of proper marketing channels. This article studies the factors influencing marketing channel choices of vegetable farmers. Vegetable farmers have generally 3 choices to sell their produce, which are formal and informal market participation vis-à-vis nonmarket participation. Ten independent variables are considered for the study and a multinomial logistic regression model is used for the analysis. The study finds 4 major variables that can influence farmers' decision to shift from nonmarket participation to informal or formal market participation. The article further identifies 4 microlevel marketing channels and assesses their efficiency. © 2012 Copyright Taylor and Francis Group, LLC. Source

Sahu M.,National Institute of Technology Rourkela | Mohanty S.R.,Rourkela Institute of Management Studies | Mohapatra D.P.,National Institute of Technology Rourkela
Smart Innovation, Systems and Technologies

We propose a technique for computing dynamic slices of structured programs based on various types of dependence relations. First, we compute the static slice with respect to a variable given in the slicing criterion and store it in a slice file. Then, we execute the program for a given input and store various dependences in a table corresponding to the executed statements that are stored in the slice file. The slice is computed from the program path by taking dependences into account that are stored in a table. We have named our proposed algorithm as Program Dependence (PD) algorithm. © Springer India 2015. Source

Kumar S.,Rourkela Institute of Management Studies | Mahapatra S.S.,National Institute of Technology Rourkela
International Journal of Services and Operations Management

In a supply chain, selection of right suppliers is a strategic consideration. Supplier selection is the process of finding suitable suppliers from the set of alternative suppliers who can be strategic partners to the organisation and provide the right quality of product or services at the right price at the right time. Such a problem is highly complex one because it involves a number of qualitative and quantitative factors having interdependencies among themselves. To deal such a complex problem, a fuzzy multi-criteria decision making approach in group decision making environment is proposed. Copyright © 2011 Inderscience Enterprises Ltd. Source

Mishra S.,National Institute of Technology Rourkela | Datta S.,National Institute of Technology Rourkela | Mahapatra S.S.,National Institute of Technology Rourkela | Debata B.R.,Rourkela Institute of Management Studies
International Journal of Services and Operations Management

In the present reporting, the concept and the application of factor analysis (FA) to achieve effective dimensions on organisational supply chain agility has been explained. FA is a statistical approach through which the number and nature of variables, which measure the test, are clarified. FA is generally performed by combining different variables together, thereby, obtaining a few variables called as an individual factor/dimension. This method determines interrelationship among analysis data and reduces total number variables into less number of factors/dimensions for simplicity. In the case study in an Indian automobile sector in order to define effective factors describing organisational supply chain agility, on the basis of conceptual model, a questionnaire has been compiled. The survey data obtained thereof, has been analysed by descriptive statistics and all variables have been categorised finally into 13 factors (dimensions) through exploratory factor analysis (EFA). This would facilitate in estimating organisational overall agility extent and various managerial decision-making. Copyright © 2014 Inderscience Enterprises Ltd. Source

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