...student with the concepts, methods and tools for the application of logical and quantitative analysis to business decision making and problem solving. It familiarizes the student with a wide range of software and other classical and contemporary resources related to decision and problem analysis, including basics of logic and decision making, principles of optimization, probabilistic distributions, linear programming, simplex, queuing and transportation problems, break even analysis, inventory management, forecasting and simulation. The course highlights the benefits as well as the limits of quantitative analysis in a real-world context. This course may be adapted for the graduate and undergraduate levels. Materials Readings, assignments, problems and assessments are integrated into the courseware. Any additional materials will be assigned by the instructor at the start or during the course. Course Outline & Assignments Assignments will change from time to time as new resources become available, contemporary events have bearing on the topics, or the social, legal, or economic environments change. FUNDAMENTALS OF DECISION MAKING AND PROBLEM SOLVING (Module One, 4-6 hours) • • • • • • • • • • • • • • Words of the Wise What is a Decision? What does it mean to solve a problem? Understanding Limitations - every problem does not have a solution What is a Good/Bad Decision? Why Process is Important Laziness Predictably Irrational - Self Deception The...
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...Optimization in Production Operations Optimal “Lean Operations” in Manufacturing By Carlos W. Moreno © 2005-06 Ultramax Corporation Oct. 5, 2006 Introduction This essay deals with production / manufacturing operations: with their economic impact (or other metrics) while making product with the existing process, usually driven to satisfy: • market demand (delivered: volume, quality) • • economics (incurred: cost savings, resource utilization); and safety (safeguarding equipment, personnel and environment) These drivers represent the main impact of production on company profits, with short-term and long-term effects on the P&L Statement. The bottom line is that most production processes are underutilized; and the use of mature, accessible mathematical technology unlocks that latent capacity, which is of significant value. The best possible performance is “Optimal Operations.” In the process industry it is called “Process Optimization.” In manufacturing it is the extreme of Lean Operations, one of the components of “Lean Manufacturing” success. Other components that qualify for “lean” in the sense of avoiding waste (non-value-added), and not missing opportunities for improvements are: “Lean Design” (the most common emphasis today), “Lean Logistics – and Supply Chain,” “Lean Maintenance,” “Lean Scheduling,” “Lean Safety,” and “Lean Scheduling.” Some share interests with Six Sigma as well (quality and costs). All these solutions are also part of the classical field of Industrial...
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...Boulder, CO: Westview Press, 209-229. An earlier version of this paper also appeared in Foresight and National Decisions: The Horseman and the Bureaucrat (Grant 1988). A S KEPTIC'S GUIDE TO COMPUTER MODELS 2 The Inevitability of Using Models........................................................................3 Mental and Computer Models..............................................................................2 The Importance of Purpose..................................................................................3 Two Kinds of Models: Optimization Versus Simulation and Econometrics.......4 Optimization.............................................................................................4 Limitations of Optimization..........................................................5 When To Use Optimization..........................................................8 Simulation................................................................................................9 Limitations of Simulation.............................................................11 Econometrics............................................................................................13 Limitations of Econometric...
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...e-procurement where auctions can be deployed and describes the conceptual and mathematical aspects of different categories of procurement auctions. We discuss three categories: (1) multi-unit auctions for a single homogeneous type of item; (2) combinatorial procurement auctions where the buyer seeks to procure a bundle of multiple items and the suppliers bid for subsets of the bundle; and (3) multi-attribute auctions where the procurement decisions transcend cost considerations alone, to take into account lead times, logistics costs, and other important attributes. In all three cases, the winner determination problem and the determination of payments turn out to be interesting and challenging combinatorial optimization problems. In our review, we present mathematical formulation of procurement scenarios under each category, bring out the challenge involved in solving the problems, and indicate active research topics. We also present a case study of electronic procurement at General Motors. A Note to Practitioners— Since the burst of the dot.com bubble, many procurement professionals and purchasing managers have begun to question the ability of the Internet to redefine procurement processes within their firms. In this article we set out to show that this...
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...output. “Principles do not constitute a design process. Design as a craft involves exploration, experiment, elaboration and elimination, trial and error, all with the intention of making the most coherent and expressive use of an opportunity framed by a set of outcome goals and constraints.” (Berniker, 1992) In theory the implementation of technology should improve a socio-technical systems but it is technology which proves to be difficult to design around socio-technical system. “In the middle of the 20th century some of the optimistic predictions of the impact of technology on business efficiency and productivity were being confounded. There were many examples of the introduction of technology being associated with implementation problems often linked to...
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...Economics Undergraduate Board (EUB) Math Review Autumn 2013 EXPONENT LAWS: xa+xb=xa+xb (xa)b= xab xa*xb=xa+b xaxb=xa-b DERIVATIVE NOTATION: Single variable: ddxfx=dfdx=f'(x)= “Taking the derivative of the function f with respect to x” Multiple variables: ∂∂xfx,y=∂f∂x=fx= “Taking the partial derivative of the function f with respect to x” ∂∂yfx,y=∂f∂y=fy = “Taking the partial derivative of the function f with respect to y” DERIVATIVE RULES: Product Rule: ddxfx*gx=f'x*gx+fx*g'(x) Quotient Rule: ddxfxgx=f'x*gx-fx*g'(x)gx2 Chain Rule: ddxfgx=f'x*g'(x) USEFL DERIVATIVES: ddxxn=nxn-1 ddxlnx=1x OTHER USEFUL THINGS: MUx=∂Ux,y∂x=∂U∂x= “Marginal utility with respect to x”: How much more utility you get from obtaining one more unit of x MUy=∂Ux,y∂y=∂U∂y= “Marginal utility with respect to y”: How much more utility you get from obtaining one more unit of y Endogenous Variables: Dependent variable explained by the model Exogenous Variables: Independent variables outside of the model and affect a model without being affected by it; given parameters Practice Problems → DERIVATIVES Single variable: e.g., given fx=2x0.2+x0.4+ x-0.3 , find f'x Exercises: for each of the following function, find f'x (i) fx=3x (ii) fx=6x19 (iii) fx=x2-2xx7+3 (iv) fx= 2ln(x2) Multiple variables (partial derivatives) : e.g., given fx,y=2x+3y+1 , find fx and fy...
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...defined around the central term value chain. Chapter 2 presents research concepts to manage the value chain structured by their area of specialization either on supply, demand or values. Secondly, within an integrated framework, the results of the specialized disciplines are combined with the objective to manage sales and supply by values and volume. Value chain management is defined and positioned with respect to other authors’ definitions. A value chain management framework is established with a strategy process on the strategic level, a planning process on the tactical level and operations processes on the operational level. These management levels are detailed and interfaces between the levels are defined. Since the considered problem is a planning problem, the framework serves for structuring planning requirements as well as the model development in the following chapters. 2.1 Value Chain Value chain as a term was created by Porter (1985), pp. 33-40. A value chain “disaggregates a firm into its strategically relevant activities in order to understand the behavior of costs and the existing and potential sources of differentiation”. Porter’s value chain consists of a “set of activities that are performed to design, produce and market, deliver and support its product”. Porter distinguishes between • primary activities: inbound logistics, operations, outbound logistics, marketing and sales, service in the core value chain creating directly value • support activities: procurement...
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...ECON1202 Quantitative Analysis for Business and Economics Course Outline Semester 1, 2014 Part A: Course-Specific Information Students are also expected to have read and be familiar with Part B Supplement to All Course Outlines. This contains Policies on Student Responsibilities and Support, Including Special Consideration, Plagiarism and Key Dates. It also contains the ASB PROGRAM LEARNING GOALS. Table of Contents 1 STAFF CONTACT DETAILS 1 1 1 2 2 2 2 2 3 3 5 5 5 5 6 7 7 8 8 8 8 9 10 11 11 11 12 13 13 15 1.1 Communications with staff 1.2 Pitstop and PASS 2 COURSE DETAILS 2.1 Teaching Times and Locations 2.2 Units of Credit 2.3 Summary of Course 2.4 Aims and Relationship to Other Courses 2.5 Presumed Knowledge 2.6 Student Learning Outcomes 3 LEARNING AND TEACHING ACTIVITIES 3.1 Approach to Learning and Teaching in the Course 3.2 Learning Activities and Teaching Strategies 3.2.1 Lectures 3.2.2 3.2.3 3.2.4 4 Tutorials Computing component Out-of-Class Study ASSESSMENT 4.1 Formal Requirements 4.2 Assessment Details 4.3 Tutorial Participation 4.4 Online Quizzes 4.5 In-tutorial Tests 4.6 Final Exam Format 4.7 Quality Assurance 5 6 7 COURSE EVALUATION AND DEVELOPMENT COURSE RESOURCES COURSE SCHEDULE 7.1 Lecture Schedule 7.2 Tutorial Schedule 1 STAFF CONTACT DETAILS Lecturer-in-charge: Dr Arpita Chatterjee Room: ASB 430C Phone: No: 9385 4314 Email: arpita.chatterjee@unsw.edu.au Consultation Times: Tuesday 2 – 5 pm Lecturer: Dr April Cai Room 432, ASB Building Ph 9385...
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...Maynooth devharajan.rangarajan.2016@mumail.ie Abstract— An optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function. This pays way to a new world of constrained optimization. This paper focuses on one such optimization technique known as Linear programming and one of its method known as Simplex method in detail with examples. cTx = c1x1 + · · · + cnxn The subject of linear programming can be defined quite concisely. It is concerned with the problem of maximizing or minimizing a linear function whose variables are required to satisfy a system of linear constraints, a constraint being a linear equation or inequality. The subject might more appropriately be called linear optimization. Problems of this sort come up in a natural and quite elementary way in many contexts but especially in problems of economic planning. (or Ax ≤ b) I. INTRODUCTION Linear programming is the process of taking various linear inequalities relating to some situation, and finding the "best" value obtainable under those conditions. A typical example would be taking the limitations of materials and labour, and then determining the "best" production levels for maximal profits under those conditions. In "real life", linear programming is part of a very important area of mathematics called "optimization techniques". This field of study (or at least the applied...
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...“SCHOOL OF FINANCE AND MANAGEMENT” DEPARTMENT “FINANCE, ACCOUNTING AND AUDITING” SUBJECT – FINANCIAL MANAGEMENT TERM PAPER “Methods of optimization of cash flows of the company” Done by: Klimov Kirill 4rt year student, Finance, 1202 Checked by: d.ec.sc.,Yelubayeva Zh.M. Almaty, 2015 CONTENT INTRODUCTION 3 1. FINANCIAL AND ECONOMIC ESSENCE OF CASH 4 1.1 Definition and classification of cash flows 4 2. OPTIMIZATION OF CASH FLOWS ON THE EXAMPLE OF THE COMPANY LLP “BASHLAK TRANS EXPRESS ALMATY” 16 2.1 General characteristic of activity 16 2.2 Cash flow analysis of LLP "BASHLAK TRANS EXPRESS ALMATY" 17 3. OPTIMIZATION OF THE SYSTEM IMPROVEMENT OF CASHFLOW AT THE ENTERPRISE 25 CONCLUSION 29 REFERENCES 30 INTRODUCTION In a modern economic situation one of the most important conditions of a survival and development of the enterprise is existence and rational use of monetary funds. In such circumstances, one of the key problems of the financial analysis is to define and maintain an optimal size and structure of the invested capital in a monetary form in order to obtain the maximum amount of cash flow over a certain period and the rational organization of settlements. In the conditions of the competition and...
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...Modern portfolio theory From Wikipedia, the free encyclopedia "Portfolio analysis" redirects here. For theorems about the mean-variance efficient frontier, see Mutual fund separation theorem. For non-mean-variance portfolio analysis, see Marginal conditional stochastic dominance. Modern portfolio theory (MPT) is a theory of finance which attempts to maximize portfolio expected return for a given amount of portfolio risk, or equivalently minimize risk for a given level of expected return, by carefully choosing the proportions of various assets. Although MPT is widely used in practice in the financial industry and several of its creators won a Nobel memorial prize for the theory,[1] in recent years the basic assumptions of MPT have been widely challenged by fields such as behavioral economics. MPT is a mathematical formulation of the concept of diversification in investing, with the aim of selecting a collection of investment assets that has collectively lower risk than any individual asset. That this is possible can be seen intuitively because different types of assets often change in value in opposite ways.[2] For example, to the extent prices in the stock market move differently from prices in the bond market, a collection of both types of assets can in theory face lower overall risk than either individually. But diversification lowers risk even if assets' returns are not negatively correlated—indeed, even if they are positively correlated.[3] More technically, MPT models...
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...including the identification of the limits of previous research and of potential future research directions. Ó 2009 Elsevier B.V. All rights reserved. Article history: Received 5 December 2005 Accepted 21 July 2009 Available online 6 August 2009 Keywords: Facilities design and planning Warehouse design Warehouse performance evaluation model Case studies Computational tools 1. Introduction This survey and a companion paper (Gu et al., 2007) present a comprehensive review of the state-of-art of warehouse research. Whereas the latter focuses on warehouse operation problems related to the four major warehouse functions, i.e., receiving, storage, order picking, and shipping, this paper concentrates on warehouse design, performance evaluation, case studies, and computational support tools. The objectives are to provide an all-inclusive overview of the available methodologies and tools for improving warehouse design practices and to identify...
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...Efficient portfolio & Stock market efficiency Prepared by: Ahmed Mohamed Ahmed Zaki Nofal Submitted to: Dr.Tarek el Domiaty Modern portfolio theory Modern portfolio theory (MPT) is a theory of finance which attempts to maximize portfolio expected return for a given amount of portfolio risk, or equivalently minimize risk for a given level of expected return, by carefully choosing the proportions of various assets. Although MPT is widely used in practice in the financial industry and several of its creators won a Nobel memorial prize[1] for the theory, in recent years the basic assumptions of MPT have been widely challenged by fields such as behavioral economics. MPT is a mathematical formulation of the concept of diversification in investing, with the aim of selecting a collection of investment assets that has collectively lower risk than any individual asset. That this is possible can be seen intuitively because different types of assets often change in value in opposite ways. For example, to the extent prices in the stock market move differently from prices in the bond market, a collection of both types of assets can in theory face lower overall risk than either individually. But diversification lowers risk even if assets' returns are not negatively correlated—indeed, even if they are positively correlated More technically, MPT models an asset's return as a normally distributed function (or more generally as an elliptically distributed random...
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...DR. W. EDWARDS DEMING (1900–1993) Dr. W. Edward Deming is best known for reminding management that most problems are systemic and that it is management's responsibility to improve the systems so that workers (management and non-management) can do their jobs more effectively. Deming argued that higher quality leads to higher productivity, which, in turn, leads to long-term competitive strength. The theory is that improvements in quality lead to lower costs and higher productivity because they result in less rework, fewer mistakes, fewer delays, and better use of time and materials. With better quality and lower prices, a firm can achieve a greater market share and thus stay in business, providing more and more jobs. When he died in December 1993 at the age of ninety-three, Deming had taught quality and productivity improvement for more than fifty years. His Fourteen Points, System of Profound Knowledge, and teachings on statistical control and process variability are studied by people all over the world. His books include: Out of the Crisis (1986), The New Economics (1993), and Statistical Adjustment of Data (1943). In emphasizing management's responsibility, Deming noted that workers are responsible for 10 to 20 percent of the quality problems in a factory, and that the remaining 80 to 90 percent is under management's control. Workers are responsible for communicating to management the information they possess regarding the system. Deming's approach requires an organization-wide...
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...Professor Owen R. Phillips University of Wyoming Ross Hall 124 COURSE SYLLABUS FOR INTERMEDIATE MICROECONOMICS 4020 Course Description and Prerequisites Economics is broadly defined as a way of thinking about problems of allocation. This course entails the use of intermediate microeconomic theory in the analysis of problems facing decision-makers, not only in business, but also in government and other nonprofit organizations. Intermediate microeconomic theory can be described as the theory of choice. It has application to all decision problems. Specific theoretic tools are developed and applied to real world settings in order to illustrate optimal decision guidelines. The prerequisites for this course are a beginning economics class in microeconomics and a basic understanding of algebra and geometry. Required Textbook Required: Pindyck, Robert S. and Rubinfeld, Daniel L., Microeconomics, Third Edition, Prentice-Hall, 1995, ISBN 0-02-395900-2. Determining Your Grade During the course there are two “midterm” examinations. At the end of the course there is a comprehensive final examination; in the final exam there is some emphasis on the material following the second examination. All of the exams consist of multiple choice questions. Questions will be of a problem-solving nature much like those assigned in the homework. The homework questions are excellent preparation for the examinations. Answers to many of these questions are worked in the...
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