International Series in Operations Research & Management Science
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Project Management © Adrienne Watt
Project Management © Adrienne Watt This work is licensed under a Creative Commons-ShareAlike 4.0 International License Original source: The Saylor Foundation http://open.bccampus.ca/find-open-textbooks/?uuid=8678fbae-6724-454c-a796-3c666 7d826be&contributor=&keyword=&subject= Contents Introduction ...................................................................................................................1 Preface ............................................................................................................................2 About the Book ..............................................................................................................3 Chapter 1 Project Management: Past and Present ....................................................5 1.1 Careers Using Project Management Skills ......................................................................5 1.2 Business Owners ...............................................................................................................5 Example: Restaurant Owner/Manager ..........................................................................6 1.2.1 Outsourcing Services ..............................................................................................7 Example: Construction Managers ..........................................................................8 1.3 Creative Services ................................................................................................................9 Example: Graphic Artists ...............................................................................................10 -
Management Science
MANAGEMENT SCIENCE CSE DEPARTMENT 1 JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD Iv Year B.Tech. CSE- II Sem MANAGEMENT SCIENCE Objectives: This course is intended to familiarise the students with the framework for the managers and leaders availbale for understanding and making decisions realting to issues related organiational structure, production operations, marketing, Human resource Management, product management and strategy. UNIT - I: Introduction to Management and Organisation: Concepts of Management and organization- nature, importance and Functions of Management, Systems Approach to Management - Taylor's Scientific Management Theory- Fayal's Principles of Management- Maslow's theory of Hierarchy of Human Needs- Douglas McGregor's Theory X and Theory Y - Hertzberg Two Factor Theory of Motivation - Leadership Styles, Social responsibilities of Management, Designing Organisational Structures: Basic concepts related to Organisation - Departmentation and Decentralisation, Types and Evaluation of mechanistic and organic structures of organisation and suitability. UNIT - II: Operations and Marketing Management: Principles and Types of Plant Layout-Methods of Production(Job, batch and Mass Production), Work Study - Basic procedure involved in Method Study and Work Measurement - Business Process Reengineering(BPR) - Statistical Quality Control: control charts for Variables and Attributes (simple Problems) and Acceptance Sampling, TQM, Six Sigma, Deming's contribution to quality, Objectives of Inventory control, EOQ, ABC Analysis, -
Abstract and Background Project Management Has Been Practiced Since Early Civili- Zation
Business Theory Project Management: Science or a Craft? Abdulrazak Abyad Correspondence: A. Abyad, MD, MPH, MBA, DBA, AGSF , AFCHSE CEO, Abyad Medical Center, Lebanon. Chairman, Middle-East Academy for Medicine of Aging http://www.meama.com, President, Middle East Association on Age & Alzheimer’s http://www.me-jaa.com/meaaa.htm Coordinator, Middle-East Primary Care Research Network http://www.mejfm.com/mepcrn.htm Coordinator, Middle-East Network on Aging http://www.me-jaa.com/menar-index.htm Email: [email protected] Development of Project Management thinking Abstract and background Project management has been practiced since early civili- zation. Until 1900 civil engineering projects were generally managed by creative architects, engineers, and master build- Projects in one form or another have been undertaken for ers themselves. It was in the 1950s that organizations started millennia, but it was only in the latter part of the 20th cen- to systematically apply project management tools and tech- tury people started talking about ‘project management’. niques to complex engineering projects (Kwak, 2005). How- Project Management (PM) is becoming increasingly im- ever, project management is a relatively new and dynamic portant in almost any kind of organization today (Kloppen- research area. The literature on this field is growing fast and borg & Opfer, 2002). Once thought applicable only to large receiving wider contribution of other research fields, such as scale projects in construction, R&D or the defence field, psychology, pedagogy, management, engineering, simulation, PM has branched out to almost all industries and is used sociology, politics, linguistics. These developments make the as an essential strategic element for managing and affect- field multi-faced and contradictory in many aspects. -
Topic 6: Projected Dynamical Systems
Topic 6: Projected Dynamical Systems Professor Anna Nagurney John F. Smith Memorial Professor and Director – Virtual Center for Supernetworks Isenberg School of Management University of Massachusetts Amherst, Massachusetts 01003 SCH-MGMT 825 Management Science Seminar Variational Inequalities, Networks, and Game Theory Spring 2014 c Anna Nagurney 2014 Professor Anna Nagurney SCH-MGMT 825 Management Science Seminar Projected Dynamical Systems A plethora of equilibrium problems, including network equilibrium problems, can be uniformly formulated and studied as finite-dimensional variational inequality problems, as we have seen in the preceding lectures. Indeed, it was precisely the traffic network equilibrium problem, as stated by Smith (1979), and identified by Dafermos (1980) to be a variational inequality problem, that gave birth to the ensuing research activity in variational inequality theory and applications in transportation science, regional science, operations research/management science, and, more recently, in economics. Professor Anna Nagurney SCH-MGMT 825 Management Science Seminar Projected Dynamical Systems Usually, using this methodology, one first formulates the governing equilibrium conditions as a variational inequality problem. Qualitative properties of existence and uniqueness of solutions to a variational inequality problem can then be studied using the standard theory or by exploiting problem structure. Finally, a variety of algorithms for the computation of solutions to finite-dimensional variational inequality problems are now available (see, e.g., Nagurney (1999, 2006)). Professor Anna Nagurney SCH-MGMT 825 Management Science Seminar Projected Dynamical Systems Finite-dimensional variational inequality theory by itself, however, provides no framework for the study of the dynamics of competitive systems. Rather, it captures the system at its equilibrium state and, hence, the focus of this tool is static in nature. -
Resumé WARD WHITT
March 2020 Resum´e WARD WHITT Current Employment Wai T. Chang Professor Department of Industrial Engineering and Operations Research Fu Foundation School of Engineering and Applied Science Columbia University Mail Code 4704, S. W. Mudd Building 500 West 120th Street New York, NY 10027-6699 Phone: (212) 854-7255 Fax: (212) 854-8103 Citizenship: USA Email: [email protected] URL: http://www.columbia.edu/∼ww2040 Education 1969 Ph.D., Cornell University Major Field: Operations Research Minor Fields: Mathematics and Regional Planning Thesis: Weak Convergence Theorems for Queues in Heavy Traffic (Advisor: D. L. Iglehart; Committee Members: H. Kesten and N. U. Prabhu) 1964 A.B., Dartmouth College Major: Mathematics (Senior Honors Thesis Advisor: J. G. Kemeny) Research, Consulting and Teaching Interests Queues: approximation techniques, limit theorems, heavy-traffic theory, model stability, bounds and inequalities, transient behavior, queues with time-varying arrival rates, nu- merical transform inversion, fundamental principles such as L = λW , stochastic net- works, applications to communication networks, manufacturing systems and service sys- tems such as contact centers and healthcare systems Probability and Stochastic Processes: limit theorems, weak convergence, diffusion processes, stochastic order relations, simulation, numerical transform inversion, stochastic models in operations research. Telecommunication Systems: performance analysis, internet performance, IP networks, circuit- switched networks, wireless networks, high-speed communication networks, asynchronous transfer mode technology, traffic descriptors, traffic regulators, protection against over- loads, staffing telephone call centers, real-time performance prediction and control Operations Research: applied probability, stochastic models, queues, performance analysis, simulation, dynamic programming, game theory, decision analysis, approximation tech- niques, telecommunication, computer manufacturing and service systems. Employment History Columbia University in the City of New York 2002– Professor, Dept. -
Management Science (MSC) 1
Management Science (MSC) 1 Management Science (MSC) MSC 287 - BUSINESS STATISTICS I Semester Hours: 3 Introduction to probability & business statistics. Covers: tabular, graphical, and numerical methods for descriptive statistics; measures of central tendency, dispersion, and association; probability distributions; sampling and sampling distributions; and confidence intervals. Uses spreadsheets to solve problems. Prerequisite: Any 100 level MA course. MSC 288 - BUSINESS STATISTICS II Semester Hours: 3 Inferential statistics for business decisions. Topics include: review of sampling distributions and estimation; inferences about means, proportions, and variances with one and two populations; good of fit tests; analysis of variance and experimental design; simple linear regression; multiple linear regression; non parametric methods. Prerequisite: MSC 287. MSC 385 - OPERATIONS ANALYSIS Semester Hours: 3 Survey of the firm's production function and quantitative tools for solving production problems, quality management, learning curves, assembly and waiting lines, linear programming, inventory, and other selected topics (e.g., scheduling, location, supply chain management). Uses the SAP software. Prerequisite: MSC 288. MSC 410 - TRANSPORTATION & LOGISTICS Semester Hours: 3 An analysis of transportation and logistical services to include customer service, distribution operations, purchasing, order processing, facility design and operations, carrier selection, transportation costing, and negotiation. Prerequisite: MKT 301. MSC 411 - SUPPLY CHAIN MANAGEMENT Semester Hours: 3 Supply chain management focuses on networks of companies that deliver value to customers. The course focuses on understanding integrated supply chains and examines how product development and design, demand, marketing, globalization, customer locations, distribution networks, suppliers and ERP systems impact a company's supply chain design. Prerequisite: MSC 287. MSC 412 - ARMY SENIOR LOGISTICIAN-ADV Semester Hours: 3 The Senior Logistician Advanced Course (SLAC) is part of the U.S. -
Management Science 1
Management Science 1 MANAGEMENT SCIENCE Department Code: MAS Introduction Management Science uses the ideas and methods of science, mathematics, statistics, and computing, which collectively are often referred to as Business Analytics, to help managers make better business decisions. Management science techniques have been applied in a wide variety of areas including financial modeling, marketing research, organizational theory, transportation and logistics, health care, environmental protection, and manufacturing. Almost any decision can benefit from the methods of management science/analytics. Educational Objectives The Department of Management Science offers a major area of specialization in Business Analytics as well as a minor in Business Analytics. The Business Analytics curriculum is designed to give Miami Herbert Business School students the necessary educational background and experience to allow them to work as successful business analytics professionals. Students pursuing the Bachelor of Business Administration (BBA) degree with a major area of specialization in Business Analytics are trained to combine quantitative, statistical, and computational tools and techniques to help companies understand, predict, and act on large amounts of data, improving decision-making in increasingly complex and interconnected business environments. For students pursuing the Bachelor of Science in Business Administration (BSBA) degree program, the major in Business Analytics requires a solid background in the sciences and mathematics. Additionally, students are required to take sequences of courses in optimization, decision science, and data analytics. A number of the courses in the Business Analytics curriculum require projects, in which the student evaluates a real-world system or process. As the system is studied and modeled, the student applies management science methods to find ways to improve the process. -
Affiliation of Authors in Production and Operations Management Journals" (2003)
Western Michigan University ScholarWorks at WMU Honors Theses Lee Honors College 5-15-2003 Affiliation ofuthors A in Production and Operations Management Journals Steven M. Yager Western Michigan University, [email protected] Follow this and additional works at: https://scholarworks.wmich.edu/honors_theses Part of the Business Commons, and the Journalism Studies Commons Recommended Citation Yager, Steven M., "Affiliation of Authors in Production and Operations Management Journals" (2003). Honors Theses. 1173. https://scholarworks.wmich.edu/honors_theses/1173 This Honors Thesis-Open Access is brought to you for free and open access by the Lee Honors College at ScholarWorks at WMU. It has been accepted for inclusion in Honors Theses by an authorized administrator of ScholarWorks at WMU. For more information, please contact [email protected]. THE CARL AND WINIFRED LEE HONORS COLLEGE CERTIFICATE OF ORAL EXAMINATION Steven M. Yager, having been admitted to the Carl and Winifred Lee Honors College in Fall 1998 successfullypresented the Lee Honors College Thesis on May 15, 2003. The title of the paper is: Affiliation of Authors in Production and Operations Management Journals /JsS / /J.-\ /-''>l"^C Dr. Sime Curkovic r. Robert Landeros AFFILIATION OF AUTHORS IN PRODUCTION AND OPERATIONS MANAGEMENT JOURNALS Spring 2003 Steven M. Yager Haworth College of Business & Lee Honors College Western Michigan University Kalamazoo, MI 49008, USA Dr. Sime Curkovic Haworth College of Business Western Michigan University Kalamazoo, MI 49008, USA -
Management Science (MS)
Management Science (MS) MS 5363. Pricing and Revenue Management. (3-0) 3 Credit Hours. MANAGEMENT SCIENCE (MS) Revenue Management is about “providing the right product to the right customers at the right time at the right price.” The main goal of Management Science (MS) Courses this course is to apply revenue management practices to appropriate MS 5003. Quantitative Methods for Business Analysis. (3-0) 3 Credit industries successfully. Specifically, the course will provide tools to Hours. forecast customer demand successfully, identify pricing and revenue Prerequisites: MAT 1033 and MS 1023, their equivalents, or consent opportunities, understand the impact of constrained capacity, opportunity of instructor. Introduction to managerial decision analysis using costs, customer response, demand uncertainty and market segmentation quantitative and statistical tools. Course includes a general framework on pricing decisions, and accordingly formulate and solve pricing for structuring and analyzing decision problems. Some of the topics optimization problems for revenue maximization. The material covered in include decision theory, statistical techniques (such as analysis of the course assumes a basic understanding of probability and probability variance, regression, nonparametric tests), introduction to linear distributions, some knowledge of spreadsheet modeling, and using Excel programming, and introduction to time series. Uses applicable decision Solver or similar optimization tools to get a solution. Differential Tuition: support software. Differential Tuition: $387. $387. MS 5023. Decision Analysis and Production Management. (3-0) 3 Credit MS 5383. Supply Chain Analytics. (3-0) 3 Credit Hours. Hours. The main goal of this course is to integrate data analytics with supply Prerequisite: MS 5003 or an equivalent. Study of applications of chain management. -
Optimization Methods in Management Science and Operations Research
15.053/8 February 5, 2013 Optimization Methods in Management Science and Operations Research Handout: Lecture Notes 1 Class website + more Class website – please log on as soon as possible – Problem Set 1 will be due next Tuesday Lots of class information on website Piazza.com used for Q&A and discussions No laptops permitted in class, except by permission laptops 2 We will use clickers from Turning Technologies. If you own one, please bring it to class with you, starting Thursday. If you don’t own one, we will lend you one for the semester. 3 Videotapes of classes Current plan: start videotaping lectures starting Today (I think). In addition, PowerPoint presentations will all be available. 4 Excel and Excel Solver During this semester, we will be using Excel Solver for solving optimization problems. We assume some familiarity with Excel, but no familiarity with Excel Solver. Homework exercises involve Excel. – Versions A and B (experiment starting this year). – Excel Solver tutorial this Friday 5 An optimization problem Given a collection of numbers, partition them into two groups such that the difference in the sums is as small as possible. Example: 7, 10, 13, 17, 20, 22 These numbers sum to 89 I can split them into {7, 10, 13, 17} sum is 47 {20, 22} sum is 42 Difference = 5. Can we do better? Excel Example 6 What is Operations Research? What is Management Science? World War II : British military leaders asked scientists and engineers to analyze several military problems – Deployment of radar – Management of convoy, bombing, antisubmarine, and mining operations. -
The Art of Project Leadership: Delivering the World's Largest Projects
The art of project leadership: Delivering the world’s largest projects McKinsey Capital Projects & Infrastructure Practice September 2017 Retail February 2014 The art of project leadership: Delivering the world’s largest projects McKinsey Capital Projects & Infrastructure Practice September 2017 Preface The performance of large capital projects has been historically poor and prone to overruns despite extensive research, literature, and practice. Previous work has analysed why these projects have deviated from plan, and many root causes have been identified, largely around the issues related to systems, process, and technical mastery. However, we believe a critical element for successful large project delivery has so far been neglected: specifically the “soft” issues of project delivery such as leadership, organisational culture, mindsets, attitudes, and behaviours of project owners, leaders, and teams. In this report we refer to this blend of soft organisational topics as “the art of project leadership”, as opposed to standards, systems, processes, and technical subject matter expertise which we refer to as project management “science”. We assert that a better understanding of how to get this art right will materially improve delivery of large capital projects, and moreover, that it is especially true in the context of the largest and most complex capital projects (those with budgets exceeding US $5 billion). We set out to answer a simple question: Why do so many large projects continue to fall short of expectations despite so much global experience, learning, discussion, and analysis? To answer this question we researched the existing literature on the topic and conducted in-depth interviews with 27 large project practitioners, who collectively have more than 500 years of project delivery experience. -
Handbook in Operations Research and Management Science
Handb o ok in Op erations Research and Management Science Volume on Networks Chapter on Design of Survivable Networks by M Grotschel CL Monma M Sto er March *Konrad-Zuse-Zentrum f¨ur Informationstechnik Berlin Heilbronner Str. 10 D-1000 Berlin 31, Germany **Bellcore 445 South Street Morristown, New Jersey 07960 1 Contents 1 Overview 3 2 Motivation 3 3 Integer Programming Models of Survivability 6 3.1 The General Model for Undirected Networks .................. 7 3.2 A Brief Discussion of the Model ......................... 10 3.3 AModelUsedinPractice ............................ 12 4 Structural Properties and Heuristics 15 4.1 Lifting and the Structure of Optimum Solutions ................ 15 4.2 Construction and Improvement Heuristics ................... 17 4.3 Heuristics with Performance Guarantees .................... 20 5 Polynomially Solvable Special Cases 23 5.1 Node Type Restrictions .............................. 23 5.2 Cost Restrictions ................................. 24 5.3 Special Classes of Graphs ............................ 26 6 Polyhedral Results 27 6.1 Classes of Valid Inequalities ........................... 28 6.2 Facet Results ................................... 33 6.3 Separation ..................................... 35 6.4 Complete Descriptions of Small Cases ...................... 37 6.4.1 The 2ECON Polytope for K5 ...................... 38 6.4.2 The 2NCON Polytope for K5 ...................... 39 2 7 Computational Results 44 7.1 Outline of the Cutting Plane Algorithm ..................... 44 7.2 Implementation