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Статья
Применение технологии Process Mining в управлении цепями поставок

Воронова А. П., Заходякин Г. В.

Логистика и управление цепями поставок. 2020. № 6(101). С. 26-36.

Глава в книге
Conceptual Framework of Agent-based Model of Relational Conflicts in Russian Retail

Morozova Y. A.

In bk.: Proceedings of Analytics for Management and Economics Conference AMEC 2019. St. Petersburg: 2019. P. 367-373.

Supply Chain Analytics

2019/2020
Учебный год
ENG
Обучение ведется на английском языке
2
Кредиты
Статус:
Курс по выбору
Когда читается:
2-й курс, 2 модуль

Course Syllabus

Abstract

Supply chains are complex systems involving multiple businesses and organizations with different goals and objectives. Many different analytical methods and techniques are used by researchers and practitioners alike to better design and manage their supply chains. This business and management course introduces the primary methods and tools that you will encounter in your study and practice of supply chains. We focus on the application of these methods, not necessarily the theoretical underpinnings. We will begin with an overview of introductory probability and decision analysis to ensure that students understand how uncertainty can be modeled. Next, we will move into basic statistics and regression. Finally, we will introduce optimization modeling from unconstrained to linear, non-linear, and mixed integer linear programming. This is a hands-on course. Students will use spreadsheets extensively to apply these techniques and approaches in case studies drawn from actual supply chains. https://www.edx.org/course/supply-chain-analytics-0
Learning Objectives

Learning Objectives

  • Master and apply the core methodologies used in supply chain analysis and modeling, including statistics, regression, optimization and probability
Expected Learning Outcomes

Expected Learning Outcomes

  • Basic analytical methods How to apply basic probability models Statistics in supply chains Formulating and solving optimization models
Course Contents

Course Contents

  • Supply Chain Analytics
    Supply chains are complex systems involving multiple businesses and organizations with different goals and objectives. Many different analytical methods and techniques are used by researchers and practitioners alike to better design and manage their supply chains. This business and management course introduces the primary methods and tools that you will encounter in your study and practice of supply chains. We focus on the application of these methods, not necessarily the theoretical underpinnings. We will begin with an overview of introductory probability and decision analysis to ensure that students understand how uncertainty can be modeled. Next, we will move into basic statistics and regression. Finally, we will introduce optimization modeling from unconstrained to linear, non-linear, and mixed integer linear programming. This is a hands-on course. Students will use spreadsheets extensively to apply these techniques and approaches in case studies drawn from actual supply chains.
Assessment Elements

Assessment Elements

  • non-blocking Компьютерное тестирование по темам курса
    Проводится на странице курса https://www.edx.org/course/supply-chain-analytics-0
  • non-blocking Итоговое компьютерное тестирование
    Проводится на странице курса https://www.edx.org/course/supply-chain-analytics-0
Interim Assessment

Interim Assessment

  • Interim assessment (2 module)
    Расчет производится по принципам, установленным авторами курса, в электронном виде на сайте дисциплины https://www.edx.org/course/supply-chain-analytics-0
Bibliography

Bibliography

Recommended Core Bibliography

  • Управление цепями поставок : учебник для бакалавров и магистров, Сергеев, В. И., 2014

Recommended Additional Bibliography

  • Operations management : sustainability and supply chain management, Heizer, J., 2014