Course Details
Some key questions will be addressed in the course, for example sourcing locally versus importing from abroad, making versus buying, going for direct channels of distribution versus going for indirect channels and finally choosing a 2PL model versus a 3PL model.
Other key concepts, theories and tools will be presented. For example: bullwhip effect, value of information sharing, mass customization & postponement of differentiation, handling demand volatility, value & risk mapping and finally, optimization-based procurement.
The material presented here is not invented by the lecturer, rather this is extracted from SC literature, be it published in Operations journals, SC textbooks or delivered in SC classrooms (masters or undergraduate programs). To link this content altogether, this course will be presenting a hypothetical startup manufacturing company, “The Factory”. The Factory is an imaginary company, which will change its operations, activities and production range whenever needed during the course to best describe the content in scope of the lecture.
Lessons
A very short introduction by the lecturer introducing the course
This is an introduction to an imaginary factory named the “Foods Factory”. This imaginary factory will be used throughout the course by the instructor to introduce Supply Chain concepts. The factory is used to help Small and medium Entrepreneurs apply basic SC concepts to their own SC domains
Tthis is an introduction to global Supply Chain Disruptions, including different types of disruption like: Natural disasters., industrial or direct action unexpected accidents and operational difficulty.
The lesson is introducing sourcing risk mitigation actions. The lesson is offering a risk mitigation action list on three levels: 1) Operational, 2) Tactical and 3) Strategic
The lesson is introducing the value ratio, aiming to help procurement management understand the Value of a given transaction or deal or a given investment by linking the Benefits received to the resources used
This is a tool aiming to support procurement managers on setting priorities on sourcing, by looking into a simple matrix, on the X axis, the value of the spent and on the Y Axis, the focus will be on the risk or the impact of the spent
This is a tool aiming to support procurement managers on setting priorities on sourcing, by looking into a simple matrix, on the X axis, the value of the spent and on the Y Axis, the focus will be on the risk or the impact of the spent
This is offering standard optimization techniques aiming to support procurement managers with scientific but simple means for a scientific decision making process leveraging Mixed Linear Integer Programing (MLIP) techniques. Different practical examples and demonstrations are offered in a series of videos to provide real life examples on how to use MILP for taking sourcing decisions considering different supply constraints
This is offering standard optimization techniques aiming to support procurement managers with scientific but simple means for a scientific decision making process leveraging Mixed Linear Integer Programing (MLIP) techniques. Different practical examples and demonstrations are offered in a series of videos to provide real life examples on how to use MILP for taking sourcing decisions considering different supply constraints
This is offering standard optimization techniques aiming to support procurement managers with scientific but simple means for a scientific decision making process leveraging Mixed Linear Integer Programing (MLIP) techniques. Different practical examples and demonstrations are offered in a series of videos to provide real life examples on how to use MILP for taking sourcing decisions considering different supply constraints
This is offering standard optimization techniques aiming to support procurement managers with scientific but simple means for a scientific decision making process leveraging Mixed Linear Integer Programing (MLIP) techniques. Different practical examples and demonstrations are offered in a series of videos to provide real life examples on how to use MILP for taking sourcing decisions considering different supply constraints
This is offering standard optimization techniques aiming to support procurement managers with scientific but simple means for a scientific decision making process leveraging Mixed Linear Integer Programing (MLIP) techniques. Different practical examples and demonstrations are offered in a series of videos to provide real life examples on how to use MILP for taking sourcing decisions considering different supply constraints
This is offering standard optimization techniques aiming to support procurement managers with scientific but simple means for a scientific decision making process leveraging Mixed Linear Integer Programing (MLIP) techniques. Different practical examples and demonstrations are offered in a series of videos to provide real life examples on how to use MILP for taking sourcing decisions considering different supply constraints
This is offering standard optimization techniques aiming to support procurement managers with scientific but simple means for a scientific decision making process leveraging Mixed Linear Integer Programing (MLIP) techniques. Different practical examples and demonstrations are offered in a series of videos to provide real life examples on how to use MILP for taking sourcing decisions considering different supply constraints
This is offering standard optimization techniques aiming to support procurement managers with scientific but simple means for a scientific decision making process leveraging Mixed Linear Integer Programing (MLIP) techniques. Different practical examples and demonstrations are offered in a series of videos to provide real life examples on how to use MILP for taking sourcing decisions considering different supply constraints
This is offering standard optimization techniques aiming to support procurement managers with scientific but simple means for a scientific decision making process leveraging Mixed Linear Integer Programing (MLIP) techniques. Different practical examples and demonstrations are offered in a series of videos to provide real life examples on how to use MILP for taking sourcing decisions considering different supply constraints
This is to introduce basic planning and forecasting techniques including time series analysis, Exponential Smoothing and Holt Model
This is to introduce time series analysis, for planning and forecasting, Different time series planning techniques are offered included, Naïve forecast, cumulative average and moving average techniques. The model assigns equal weights to previous time intervals, yet the criterion which differentiates each technique is how much back in time each model is willing to go back?
This is to introduce Exponential Smoothing, for planning and forecasting, The lesson sheds the light on one key aspect of exponential smoothing, As ageing data is believed to degrade over time, the model assigns higher weights to recent data compared to ageing data
The lesson sheds the light on one key aspect of exponential smoothing, As ageing data is believed to degrade over time, the model assigns higher weights to recent data compared to ageing data
The lesson sheds the light on one key aspect of exponential smoothing, As ageing data is believed to degrade over time, the model assigns higher weights to recent data compared to ageing data
This is to introduce Exponential Smoothing, focusing on level and trend analysis for planning and forecasting
This is the part of the exponential smoothing model designed to dampen the seasonality effect after introducing the level and trend
This is to introduce a real life example using Holt Model
This is to introduce a real life example using Holt Model, predicting demand for more than one cycle
This is to introduce a Holt Model for demand with clear seasonality trends
This is to introduce a holt Model Seasonality using an excel example
This is to introduce an order optimization tool designed to find the optimum order quantity which maximizes gains. This is known as the “Newsvendor Model”
This is to introduce an order optimization tool designed to find the optimum order quantity which maximizes gains. This is known as the “Newsvendor Model”
This is to introduce an order optimization tool designed to find the optimum order quantity which maximizes gains. This is known as the “Newsvendor Model”
This is to introduce an order optimization tool designed to find the optimum order quantity which maximizes gains. This is known as the “Newsvendor Model”
This lesson is linking the Newsvendor Model to a famous concept in Supply Chain Literature known as the postponement of differentiation
This lesson is summarizing the planning module highlighting the key differences between forecasting techniques like time series analysis, exponential smoothing and Holt model from one side and News vendor model from the other side
