Canada Labs 1 © 2011 IBM Corporation Agenda • Overview • Information and Data Models • The relational model • Entity-Relationship diagrams • Types of relationships • Mapping entities to tables • Relational model concepts • Relational model constraints • Normalization 2 © 2011 IBM Corporation Supporting reading material & videos • Reading materials • Database Fundamentals eBook • • • • Chapter 1: Databases and information models Chapter 2: The relational data model Chapter 3: The conceptual
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track their consulting staff‚ each staff member’s skill sets‚ and what projects they will be working on. This document will provide information on the following area’s listed below: I. Analyze the Database Environment II. Describe the Problems and Constraints III. Describe the Objectives of the Database Environment IV. Describe the Scope and Boundaries V. List the Data Specifications Smith Consulting is an organization that was structured in 1984 by Blair Smith in Houston Texas. This organization provides
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integer-programming problem. It is said to be a mixed integer program when some‚ but not all‚ variables are restricted to be integer‚ and is called a pure integer program when all decision variables must be integers. As we saw in the preceding chapter‚ if the constraints are of a network nature‚ then an integer solution can be obtained by ignoring the integrality restrictions and solving the resulting linear program. In general‚ though‚ variables will be fractional in the linear-programming solution‚ and further
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of the company Maxfield Turner believes that they should look at the company’s product offerings and production constraints. He wants to review with the accounting department the potential impact of eliminating less profitable product offerings and with the production department on ways to loosen the constraint in the coating process. Issues Addressed A. Identify the Binding Constraint Since management has identified that the bottleneck occurs at the coating and sharpening process production should
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Application of the Theory of Constraints in Banks. Bramorski‚ T.‚ Madan‚ M.S.‚ and Motwani‚ J. The Bankers Magazine‚ Jan-Feb 1997 pp 53-59. High economic growth‚ intensified competition‚ and increased customer sophistication have forced the banking industry to reevaluate techniques to improve operational efficiency and profitability. In recent years‚ service industries have faced significant competitive pressures resulting from globalization‚ rapid advances in technology‚ and a high degree
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Homework #1 Solutions 3.1 a. Let X1 =the number of hours of process 1 used X2 =the number of hours of process 2 used The objective is to minimize the cost of producing the three products A‚ B and C. The constraints are on the demand of each product. Min 4X1 + X2 subject to 3X1 + X2 ≥ 10 (A’s demand) X1 + X2 ≥ 5 (B’s demand) X1 ≥ 3 (C’s demand) X1 ‚ X2 ≥ 0 (nonnegativity) b. From the graph we can see that the isocost line just leaves the feasible region where the demand for C and B intersect. The
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faced with production constraints. Overview of the Situation • Focuses on various ways to loosen constraints • Demonstrates how to identify which products are most profitable and which products are less profitable when confronted with constraints • Makes the point that large profits that may be lost if a company does not adequately deal with constraints Issues Addressed 1. What is the situation facing Five Star Tools? 2. What steps can be taken to loosen the constraint in coating and sharpening
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Lehigh Steel Background- Lehigh Steel was founded in 1913 and it manufactures specialty steels for high strength‚ high use applications. In 1975 it was acquired by Palmer due to its ownership of Continuous Rolling Mill‚ a specialized equipment that convert steel intermediate shape to wire for Palmer’s bearing. The industry as a whole is highly competitive‚ even a small change in price could alter customers’ consumption decision greatly‚ keeping costs down is therefore‚ one of the most important
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those used in the course‚ are used throughout for commonly occurring optimisation terminology: LPM – leading principal minor; PM – (non-leading) principal minor; CQ – constraint qualification; FOC – first-order conditions; NDCQ – non-degenerate constraint qualification; CSC – complementary slackness condition; NNC – non-negativity constraint. Q1 (a) You are given that the formula for the total differential at the point x0 of a function f of n variables x1 ‚ . . . ‚ xn is 1 δf (x0 ) = δx· f (x0 ) + 2
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the same level of utility (satisfaction) for the consumer. A budget constraint represents all the combinations of goods and services that a consumer may purchase given current prices within his or her given income. For an individual‚ indifference curves and an assumption of constant prices and a fixed income in a two-good world will give the following diagram. The consumer can choose any point on or below the budget constraint line BC. This line is diagonal since it comes from the equation . In
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