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

09
Февраль

Modeling of Processes and Systems

2020/2021
Учебный год
ENG
Обучение ведется на английском языке
3
Кредиты
Статус:
Курс обязательный
Когда читается:
3-й курс, 4 модуль

Course Syllabus

Abstract

Management science deals with decision making within a managerial context. It encompasses a number of systematic approaches to making decisions in problems often encountered by managers. In the modern world, intuition in decision making can be an unsafe guide. The distinctive feature of management science is the construction of an explicit, simplified model of relevant aspects of the decision making situation under study. Such models are often based on quantitative mathematical approaches, but may at times have a more qualitative character.
Learning Objectives

Learning Objectives

  • • enable students 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 students 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 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.
  • 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.
  • Markov processes
    approaches used in modelling situations that evolve in a stochastic (probabilistic) fashion though time; systems involving both non-absorbing and absorbing states.
  • 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.
  • Queueing theory and simulation
    the representation and analysis of complex stochastic systems where queueing is a common occurrence; M/M/1 queue; discrete event simulation
Assessment Elements

Assessment Elements

  • blocking Exam
  • non-blocking Homeworks
  • non-blocking Mock exam
Interim Assessment

Interim Assessment

  • Interim assessment (4 module)
    0.35 * Exam + 0.3 * Homeworks + 0.35 * Mock exam
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

  • Taha H.A. Operations Research: An Introduction, 10-th Edition, Pearson Education Limited, 2017. – 849 p. – ISBN: 9781292165561