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Бакалаврская программа «Цифровые инновации в управлении предприятием (программа двух дипломов НИУ ВШЭ и Лондонского университета)»

09
Февраль

Management Decisions

2020/2021
Учебный год
ENG
Обучение ведется на английском языке
4
Кредиты

Преподаватель

Course Syllabus

Abstract

Management science can be defined as the application of scientific and systematic procedures, techniques and tools to operational, strategic and policy problems in order to help develop and evaluate solutions to problems encountered within management. Management science includes all rational approaches to management decision-making that are based on an application of scientific and systematic methodologies. Both management science as a discipline, and management scientists as individuals with specialised training, aid management by providing a structure to decision-making situations whose complexity, and/or level of uncertainty, makes intuition an unsafe guide. The distinctive feature of the management science approach is the construction of an explicit, simplified model of relevant aspects of the situation under study. Such models are often based on mathematical or statistical formulations, but may at other times have a more qualitative character.
Learning Objectives

Learning Objectives

  • enable you to see that many managerial decision-making situations can be addressed using standard techniques and problem structuring methods
  • provide a comprehensive and concise introduction to the key techniques and problem structuring methods used within management science that are directly relevant to the managerial context
  • enable you to see both the benefits, and limitations, of the techniques and problem structuring methods presented.
Expected Learning Outcomes

Expected Learning Outcomes

  • be able to discuss the main techniques and problem structuring methods used within management science
  • to be able to critically appraise the strengths and limitations of these techniques and problem structuring methods
  • to be able to carry out simple exercises using such techniques and problem structuring methods themselves (or explain how they should be done)
Course Contents

Course Contents

  • Problem structuring and problem structuring methods
    problem structuring methods such as JOURNEY (JOintly Understanding, Reflecting, and NEgotiating strategY) making, Soft Systems Methodology and Strategic Choice.
  • Network analysis
    planning and control of projects via the critical path; float (slack) times, cost/time trade-off, uncertain activity completion times and resource considerations
  • Decision making under uncertainty
    approaches to decision problems where chance (probability) plays a key role; pay-off tables; decision trees; utilities and expected value of perfect information
  • Inventory control
    problems that arise in the management of inventory (stock); Economic Order Quantity, Economic Batch Quantity, quantity discounts, probabilistic demand, Materials Requirements Planning, Just-in-Time, Optimised Production Technology and supply chain issues.
  • Mathematical programming formulation
    the representation of decision problems using linear models with a single objective which is to be optimised; the formulation of both linear programs and integer programs.
  • Linear programming solutions
    the solution of linear programs; the numeric solution of two variable linear programs, sensitivity analysis and robustness.
Assessment Elements

Assessment Elements

  • blocking Exam
  • non-blocking Quizzes
  • non-blocking Home assignments
  • non-blocking In-class tests
Interim Assessment

Interim Assessment

  • Interim assessment (3 module)
    0.45 * Exam + 0.2 * Home assignments + 0.2 * In-class tests + 0.15 * Quizzes
Bibliography

Bibliography

Recommended Core Bibliography

  • An introduction to management science : quantitative approaches to decision making, , 2017
  • Rational analysis for a problematic world revisited : problem structuring methods for complexity, uncertainty and conflict, Rosenhead, J., 2009

Recommended Additional Bibliography

  • Operations research : applications and algorithms, Winston, W. L., 2004