Supply chain modeling in Anylogistix - course RUB 51,000. from HSE, training 1 month, Date March 14, 2023.

Supply chain modeling based on analytical optimization (mathematical programming) is a classic approach that has been used since the 1990s. years is used in specialized tools for analysis and design of supply chains (Supply Chain Guru, CAST, LogicNet, DPO, SNO, APO). The main advantage of this approach is the ability to create large supply chain models containing millions of variables.

Although analytical optimization tools are used by many companies, this method has limitation: such models do not include random factors and cannot be used in control problems stocks. Here another method comes to the rescue - simulation modeling, which consists of creating a dynamic computer model of a real system (for example, a logistics network). A simulation model reproduces, or simulates, the behavior of a system over time to approximate how that system operates in the real world as a digital twin of the supply chain.

Simulation modeling helps analyze the operation of the supply chain, explore how supply chain performance will be affected various policies for managing its elements, predicting the development of events and choosing acceptable options for solving emerging problems problems. Among the tasks for which simulation modeling is used are optimization of inventory management policies, assessment of required resources (warehouse and production facilities, transport, personnel), assessment of service level, analysis of risks and consequences of undesirable events for the chain supplies.

This approach is most fully implemented in Anylogistix. Created by Anylogic, which has developed the world's leading simulation tool modeling, Anylogistix for the first time allows you to build complex supply chain models based on data, without programming. This makes simulation accessible to any supply chain management professional. You too can learn to use analytical optimization and simulation modeling in Anylogistix to solve your professional problems!

Benefits of the program

01
Individual approach: you can get an expert assessment of your project and analyze an individual case
02
Practice-oriented: You will see how Anylogistix is ​​used to solve practical logistics problems and apply this tool to solve your professional problems
03
Synchronous class format: you can consult with the teacher and receive feedback during each lesson

Learning outcomes

After defending your final project, you will be able to:

1. design supply chains in the Anylogistix environment
   conduct experiments taking into account the influence of random factors, business rules and policies, as well as risk factors
2. make decisions that improve the level of logistics service
   assess the costs of their implementation, speed and quality of delivery; analyze the results of the experiment and propose effective management solutions
3. increase the efficiency of logistics operations
   solve practical problems of logistics and supply chain management, choosing the optimal strategy and tactics

Training format

Total duration in hours
50 hours

Admission conditions
The course will be most useful to specialists with experience in the field of logistics and chain management supplies, as well as those who are interested in this area and would like to further develop professionally in it. Programming skills, development of simulation or analytical models are not required, you can start from scratch. To take the course, you will need skills in working/analysis with tabular data, for example in Excel. The course is open to anyone who has a secondary or higher professional education, as well as students of universities and vocational training.

Training format
Online

Composition of the group
Standard group size is 10 people

Language of instruction
Russian

Final work
Defense of the final project

Class schedule
Twice a week: Tuesday from 18.30 to 21.30, Saturday from 11.10 to 14.10

Class format
Online. Synchronous classes with a teacher (live)

G

Gleb Zadhyakin

1

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Senior Lecturer at the Higher School of Business, National Research University Higher School of Economics. Expert in logistics and business informatics. Author of publications on topics related to the application of data science, mathematical programming and simulation modeling to solve logistics and supply chain management problems. Author and presenter of trainings on AnyLogic and Anylogistix at the HSE International Logistics Center, and on-site trainings on these tools in commercial and educational organizations. Lecturer in the EMBA for Supply Chain Directors program