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Full Version: ERP SYSTEMS
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ERP SYSTEMS
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Unit-I
Enterprise wide information system, Custom built and packaged approaches, Needs and Evolution of ERP Systems, Common myths and evolving realities, ERP and Related Technologies, Business Process Reengineering and Information Technology, Supply Chain Management, Relevance to Data Warehousing, Data Mining and OLAP, ERP Drivers, Decision support system.
Unit-II
ERP Domain, ERP Benefits classification, Present global and Indian market scenario,
milestones and pitfalls, Forecast, Market players and profiles, Evaluation criterion for ERP product, ERP Life Cycle: Adoption decision, Acquisition, Implementation, Use &
Maintenance, Evolution and Retirement phases, ERP Modules.
Unit- III
Framework for evaluating ERP acquisition, Analytical Hierarchy Processes (AHP),
Applications of AHP in evaluating ERP, Selection of Weights, Role of consultants, vendors and users in ERP implementation; Implementation vendors evaluation criterion, ERP Implementation approaches and methodology, ERP implementation strategies, ERP Customization, ERP-A manufacturing Perspective.
Unit- IV
Critical success and failure factors for implementation, Model for improving ERP
effectiveness, ROI of ERP implementation, Hidden costs, ERP success inhibitors and
accelerators, Management concern for ERP success, Strategic Grid: Useful guidelines for ERP Implementations.
Unit- V
Technologies in ERP Systems and Extended ERP, Case Studies Development and Analysis of ERP Implementations in focusing the various issues discussed in above units through Soft System approaches or qualitative Analysis tools, Learning and Emerging Issues, ERP and ECommerce.
Text and Reference Books:
1. Lexis Leon, “Enterprise Resource Planning”, TMH
2. Brady, Manu, Wegner, “ Enterprise Resource Planning”, TMH
Enterprise Resource Planning Systems


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Problems with Non-ERP Systems

In-house design limits connectivity outside the company
Tendency toward separate IS’s within firm
lack of integration limits communication within the company
Strategic decision-making not supported
Long-term maintenance costs high
Limits ability to engage in process reengineering

Traditional IS Model: Closed Database Architecture

Similar in concept to flat-file approach
data remains the property of the application
fragmentation limits communications
Existence of numerous distinct and independent databases
redundancy and anomaly problems
Paper-based
requires multiple entry of data
status of information unknown at key points

What is ERP?

Those activities supported by multi-module application software that help a company manage the important parts of its business in an integrated fashion.
Key features include:
Smooth and seamless flow of information across organizational boundaries
Standardized environment with shared database independent of applications and integrated applications

Two Main ERP Applications

Business analysis applications
a.k.a. Online Analytical Processing (OLAP)
decision support tool for management-critical tasks through analytical investigation of complex data associations
supplies management with “real-time” information and permits timely decisions to improve performance and achieve competitive advantage
includes decision support, modeling, information retrieval, ad-hoc reporting/analysis, and what-if analysis

OLAP

Supports management-critical tasks through analytical investigation of complex data associations captured in data warehouses:
Consolidation is the aggregation or roll-up of data.
Drill-down allows the user to see data in selective increasing levels of detail.
Slicing and Dicing enables the user to examine data from different viewpoints often performed along a time axis to depict trends and patterns.