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Khan, D. A.
- Information Technology in Supply Chain Management
Abstract Views :662 |
PDF Views:2
Authors
T. N. Varma
1,
D. A. Khan
1
Affiliations
1 Department of Computer Applications, National Institute of Technology, Jamshedpur, IN
1 Department of Computer Applications, National Institute of Technology, Jamshedpur, IN
Source
Journal of Supply Chain Management Systems, Vol 3, No 3 (2014), Pagination: 35-46Abstract
The exponential growth of Information Technology (IT) with communication technology in Supply Chain Management (SCM) is playing critical role in optimising decisions of the supply chain network flow for achieving organisational competitiveness, improving higher service level, lowering inventory, supply chain costs and reducing electronic risks (e-risks). To achieve integration and effective information sharing across and beyond the organisations, IT in SCM is also required. The organisations are moving towards the virtual supply chain with help of rapid changes in technology and IT applications viz; Electronic Data Exchange (EDI), Radio Frequency Identification (RFID), Bar Code, Electronic Commerce, Decision Support system, Enterprises Resource Planning (ERP) package, etc. It is also easily applicable in curbing the e-risks. Understanding the role and application of IT in managing and curbing e-risks of Supply Chain is the basic theme of this paper.Keywords
Information Technology, Supply Chain Management.
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- A Tidal Island Model for Carbonate Sedimentation: Karondia Limestone of Cretaceous Narmada Basin, India
Abstract Views :201 |
PDF Views:2
Authors
K. Akhtar
1,
D. A. Khan
1
Affiliations
1 Department of Geology, Aligarh Muslim University, Aligarh 202002, IN
1 Department of Geology, Aligarh Muslim University, Aligarh 202002, IN
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 50, No 4 (1997), Pagination: 481-489Abstract
The Cretaceous sedimentary sequence of Narmada basin comprise a lower clastic formation (Nimar Sandstone) and an upper carbonate sequence (Karondia Limestone). The depositional model of limestones was reconstructed by identifying 8 microfacies which were regrouped into 5 facies associations. The carbonate sequence of the study area was interpreted to be deposited on a ramp without a striking break in the slope of the ramp and where shelf margin was not developed. The vertical arrangement of facies of Karondia Limestone forms a shallowing upward sequence. It shows much lateral and vertical variation which can be attributed to deposition on a platform dotted by a mosaic of exposed banks or island separated by subtidal areas with the whole complex shifting both laterally and vertically in response to hydrodynamic conditions through time.Keywords
Sedimentology, Cretaceous, Limestone, Narmada Basin.- Artificial Bee Colony based Test Data Generation for Data-Flow Testing
Abstract Views :178 |
PDF Views:0
Authors
Affiliations
1 Department of Information Technology, KIET, Ghaziabad – 201206, Uttar Pradesh, IN
2 NIT, Jamshedpur - 831014, Jharkhand, IN
1 Department of Information Technology, KIET, Ghaziabad – 201206, Uttar Pradesh, IN
2 NIT, Jamshedpur - 831014, Jharkhand, IN
Source
Indian Journal of Science and Technology, Vol 9, No 39 (2016), Pagination:Abstract
Objectives: It is a challenging task to generate and identify an optimal test set that satisfies a robust adequacy criterion, like data flow testing. A number of heuristic and meta-heuristics algorithms like GA, PSO have been applied to optimize the Test Data Generation (TDG) problem. The aim of this research work is to handle the automatic Test Data Generation problem. Methods/Statistical Analysis: This research work focuses on the application of Artificial Bee Colony (ABC) algorithm guided by a novel Fitness Function (FF) for TDG problem. The construction of FF based on the concept of dominance relations, weighted branch distance for ABC to guide the search direction. Ten well known academic programs were taken for experimental analysis. The proposed algorithm is implemented in C environment. Findings: To examine the effectiveness of ABC algorithm in Test Data Generation, ten academic programs were taken experiment. The effectiveness of proposed algorithm is evaluated using average number of generations and coverage percentages achieve parameters. The experimental results show that proposed ABC algorithm requires less number of generations in comparison to other algorithms. It is also noted that the proposed algorithm coverage almost all def-path for all programs. Application/Improvements: The experimental results depict that the ABC algorithm performs far better than other existing algorithm for optimizing test data.Keywords
Artificial Bee Colony, Branch Testing, Data Flow Testing, Structural Testing, Test Data Generation.Full Text
- SAP System as Vendor Fraud Detector
Abstract Views :228 |
PDF Views:0
Authors
T. N. Varma
1,
D. A. Khan
1
Affiliations
1 Department of Computer Applications, NIT, Jamshedpur, Jharkhand, IN
1 Department of Computer Applications, NIT, Jamshedpur, Jharkhand, IN
Source
Journal of Supply Chain Management Systems, Vol 6, No 2 (2017), Pagination: 2-13Abstract
In the last decade, Enterprise Resource Planning (ERP) systems are one of the most important IT developments, which improve productivity and profitability of the organisation. SAP is the leading market player in ERP systems. The vendor master file in SAP is used to store information about critical and sensitive data of vendors and this data is target of fraudsters. However, fraud is increasing and it becomes a risk to supply chain management. Hence, it is a requirement to plug the opportunity of fraudsters by help of system. The present paper presents a review of red flags of vendor master, different vendor fraud etc. Further, this study makes the development of a prototype model for detection of vendor fraud based on analysis of SAP security log data, segregations of duties and fraudulent scenarios.Keywords
ERP, Fraud, SAP, Vendor.References
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