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Lecture

Forecast and Demand Analysis

In courses (2)

MGT-427: Project management and risk analysis

Ce cours a pour objectif de présenter l'approche générale du management de projet en intégrant la gestion du risque dans toutes les étapes du projet. ...

MGT-426: Logistics and demand analysis

La logistique, fonction transversale par excellence, intègre toutes les dimensions des processus industriels à ajout de valeur, de l'approvisionnement à la distribution aux clients et au-delà en intégrant le développement durable. Un focus particulier sera ...

Description

This lecture covers types of models for prediction, including global models and a probabilistic approach. It explores the collaborative process of Sales and Operations Planning (S&OP) to optimize resource allocation and reduce the 'bullwhip effect'. The lecture delves into challenges, supply chain management, production optimization, and the importance of aligning functions for successful forecasting. It also discusses the impact of forecasts, decision-making power in S&OP sessions, and the analysis of new products. Various methods for inventory management, such as safety stocks, economic order quantity, and physical inventory management, are explained in detail with real-world examples and applications.

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Instructor

Philippe Wieser

Philippe Wieser obtained his diploma of engineer in mechanics at the EPFL in 1977 and he received his PhD in 1981. After a few years working in a engineering consulting company, he joined the EPFL as lecturer. His fields of research and teaching deal with logistics, supply chain management, information systems and integrated logistics, health supply chain and project management. Since May 2000, Philippe Wieser is the executive director of IML: International Institute for the Management of Logistics (EPFL - Lausanne and ENPC - Paris). In 2008 he was appointed Professeur titulaire at EPFL. Philippe Wieser teaches in EPFL-Lausanne (Minor, Master and Executive Master MSL), ENPC-Paris (Executive Master) and other European and African Universities. He is author or co-author of more than ninety publications and international conferences.

Official source

Ontological neighbourhood

Business

Supply chain: Supply chain management

Related concepts (32)

Inventory

Inventory (American English) or stock (British English) refers to the goods and materials that a business holds for the ultimate goal of resale, production or utilisation. Inventory management is a discipline primarily about specifying the shape and placement of stocked goods. It is required at different locations within a facility or within many locations of a supply network to precede the regular and planned course of production and stock of materials.

Supply chain management

In commerce, supply chain management (SCM) deals with a system of procurement (purchasing raw materials/components), operations management (ensuring the production of high-quality products at high speed with good flexibility and low production cost), logistics and marketing channels, so that the raw materials can be converted into a finished product and delivered to the end customer.

Forecasting

Forecasting is the process of making predictions based on past and present data. Later these can be compared (resolved) against what happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis. Prediction is a similar but more general term. Forecasting might refer to specific formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively to less formal judgmental methods or the process of prediction and resolution itself.

Inventory control

Inventory control or stock control can be broadly defined as "the activity of checking a shop's stock". It is the process of ensuring that the right amount of supply is available within a business. However, a more focused definition takes into account the more science-based, methodical practice of not only verifying a business's inventory but also maximising the amount of profit from the least amount of inventory investment without affecting customer satisfaction.

Demand forecasting

Demand forecasting refers to the process of predicting the quantity of goods and services that will be demanded by consumers at a future point in time. More specifically, the methods of demand forecasting entail using predictive analytics to estimate customer demand in consideration of key economic conditions. This is an important tool in optimizing business profitability through efficient supply chain management. Demand forecasting methods are divided into two major categories, qualitative and quantitative methods.

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Supply Management: Planning Strategies

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