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This research thesis aims at analyzing the key elements that enable successful 
forecasting projects in a company which operates within an interorganizational framework. 
More precisely, it is about identifying essential factors which influence the effectiveness and 
efficiency of the forecasting management process in a positive or negative way. The unexpected 
global outbreak of the COVID-19 pandemic in 2020 has shaken supply chains and highlights 
the need to address demand forecasting under uncertainty. Thus, to examine factors that are 
fundamental to accurate forecasting and those that drive forecasting project deliverables. 
Among others, methodical, technological and organizational factors will be identified in a 
literature review. Further a holistic single-case study is conducted to analyze the identified 
factors in an organizational environment. The findings will be interlinked to be then able to 
derive recommendations for action and to be able to identify further fields of research based on 
this thesis.

Predictive Analytics --- Demand Forecasting --- Forecasting Support System --- Performance Management --- Sciences économiques & de gestion > Production, distribution & gestion de la chaîne logistique

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Jindal Films is a company that produces plastic films for numerous labelling and packaging applications. The company offers VMI contracts to some of its customers, which give them the responsibility to manage product inventory and to replenish stock. 
The company faces some problems to manage efficiently the process. These problems are notably the incompatibility of some of the items with the VMI concept, the high inventory level due to poor customer’s forecasts and the out-of-date computer program. 
Therefore, the VMI system was reviewed. The first step was to classify and to group the items depending on the level of compatibility with a VMI in order to suggest alternatives for the bad ones or new inventory management policies for the others. 
Before running simulations for inventory management policy, an evaluation of the accuracy of the forecasts sent by the customers was performed. New forecasting methods were then tested to improve the forecasted demand. Based on these new forecasts, simulations were carried out, with the aim of reducing the inventory level. This was indeed the case but for only a limited number of products. 
Finally, computers tools requirements were established and general recommendations on the VMI concept were provided to Jindal.

Vendor Managed Inventory, Inventory classification, Demand forecasting, Inventory Management Policy, Software Recommendations --- Sciences économiques & de gestion > Production, distribution & gestion de la chaîne logistique

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Supply chain professionals: master pioneering techniques for integrating demand and supply, and create demand forecasts that are far more accurate and useful! In Demand and Supply Integration, Dr. Mark Moon presents the specific design characteristics of a world-class demand forecasting management process, showing how to effectively integrate demand forecasting within a comprehensive Demand and Supply Integration (DSI) process. Writing for supply chain professionals in any business, government agency, or military procurement organization, Moon explains what DSI is, how it differs from approaches such as S&OP, and how to recognize the symptoms of failures to sufficiently integrate demand and supply. He outlines the key characteristics of successful DSI implementations, shows how to approach Demand Forecasting as a management process, and guides you through understanding, selecting, and applying the best available qualitative and quantitative forecasting techniques. You'll learn how to thoroughly reflect market intelligence in your forecasts; measure your forecasting performance; implement state-of-the-art demand forecasting systems; manage Demand Reviews, and much more.

Economic forecasting. --- Supply and demand --- Forecasting. --- Demand and supply --- Industrial production --- Law of supply and demand --- Economics --- Competition --- Exchange --- Overproduction --- Prices --- Value --- Forecasting --- Economic indicators --- Economic forecasting --- E-books --- DSI. --- Demand Forecasting. --- Demand and Supply Integration. --- Supply Chain.

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Dans le contexte de supply chains de plus en plus complexes, une gestion efficace des stocks et des entrepôts est devenue cruciale pour le succès des entreprises. Cela est particulièrement vrai pour les sociétés actives dans le secteur de l’e-commerce, caractérisé par des consommateurs extrêmement exigeants. Ce mémoire-projet se concentre sur l’amélioration des processus de gestion d’inventaire et d’entrepôt pour Amer Sports, un client particulier du fournisseur global de solutions e-commerce, PFS. Plus particulièrement, les objectifs sont d’augmenter la productivité dans l’entrepôt pour ce client et d’améliorer l’expérience des consommateurs finaux. 
Premièrement, ce mémoire vise à diminuer le nombre de commandes en attente. Il commence par l’élaboration d’une politique de gestion d’inventaire permettant une meilleure adéquation des niveaux de stocks avec la demande. Pour tirer au mieux profit des efforts consacrés à la gestion des stocks, une analyse ABC est réalisée et il est recommandé de se concentrer sur les articles ayant les scores les plus élevés. Par après, différents modèles pour estimer la demande future sont exposés, ainsi qu’une technique pour déterminer et appliquer le modèle le plus performant à tout article. Ensuite, le choix d’une politique (T, s, S) pour gérer les réassorts est expliqué et une méthode pour déterminer ses paramètres compte-tenu d’un certain niveau de service est présentée. 
Deuxièmement, des solutions sont proposées pour adapter les opérations dans l’entrepôt aux commandes en attente qui restent inévitables et au cross-dock qui en découle. La première solution consiste à prélever toutes les commandes ouvertes et à les mettre dans un emplacement transitoire en attendant que les articles manquants arrivent. La deuxième solution propose d’allouer les articles en cross-dock à une commande et que la réception de ces articles génère le processus de prélèvement des commandes correspondantes. La dernière solution proposée est d’envoyer les commandes ouvertes aux consommateurs en deux livraisons partielles. Les avantages et inconvénients de chaque solution sont mis en avant afin de permettre une comparaison.
Finalement, des outils sont présentés afin de mesurer l’amélioration de la performance grâce à l’implémentation des recommandations faites dans ce mémoire. Plus précisément, il s’agit de KPIs qui permettront de quantifier les impacts positifs du projet sur la productivité et le niveau de service. In the context of ever more complicated supply chains, efficient inventory and warehouse management has become crucial for the success of companies. This is especially the case for businesses active in the e-commerce, where end-customers tend to be extremely demanding. This project-thesis focuses on the amelioration of inventory and warehouse management processes for Amer Sports, a particular client of the global e-commerce solutions provider PFS. More precisely, the objectives are to increase the productivity in the warehouse for this client and to improve end-customer experience. 
Firstly, this thesis aims at decreasing the number of backorders. It starts with the elaboration of an inventory control policy that will enable a better fit between inventory levels and demand. In order to leverage the efforts devoted to inventory management, an ABC analysis is undertaken and it is recommended to focus on items with a high score. Afterwards, different models are exposed to forecast the demand and techniques are proposed to determine and apply the best model for any item. Then, the choice of using a (T, s, S) policy to manage the replenishments of products is explained and a method to determine its parameters given a certain service level is presented. 
Secondly, some solutions are proposed to adapt the operations in the warehouse to the backorders that remain unavoidable and to the related cross-dock imposed by Amer Sports. The first solution consists in picking all backorders and put them in a staging location until the missing items are received. The second solution proposes to allocate the cross-dock items to an order and that the reception of these items generates the picking process of the corresponding orders. The last solution recommends to send the backorders to customers in two partial shipments. The advantages and drawbacks of all solutions are put forward to make an interesting comparison. 
Finally, tools are presented in order to measure the performance improvement once the recommendations in the script will be implemented. This results in KPIs that will be able to quantify the positive impacts enabled by the project on both productivity and customer service level.

Gestion d'inventaire --- Gestion d'entrepôt --- Analyse ABC --- Prévision de demande --- Politique de gestion des stocks (T, s, S) --- Cross-docking --- Inventory management --- Warehouse management --- ABC analysis --- Demand forecasting --- (T, s, S) inventory control policy --- Cross-docking --- Sciences économiques & de gestion > Production, distribution & gestion de la chaîne logistique

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Electric vehicles are only ‘green’ as long as the source of electricity is ‘green’ as well. At the same time, renewable power production suffers from diurnal and seasonal variations, creating the need for energy storage technology. Moreover, overloading and voltage problems are expected in the distributed network due to the high penetration of distributed generation and increased power demand from the charging of electric vehicles. The energy and mobility transition hence calls for novel technological innovations in the field of sustainable electric mobility powered from renewable energy. This Special Issue focuses on recent advances in technology for PV charging and storage for electric vehicles.

Technology: general issues --- electric vehicle --- demand forecasting --- peak shaving --- smart charging --- robust optimization --- Energy management and control --- particle swarm optimization (PSO) --- hybrid AC/DC microgrid --- electric vehicle charging and discharging control --- artificial physics optimization (APO) --- vehicle to grid --- V2G --- battery degradation --- Li-ion --- real-time --- moving horizon window --- battery charger --- electric bike --- photovoltaic system --- power converter --- wireless power transfer --- plug-in electric vehicle --- energy management system --- renewable energy --- vehicle-to-grid --- life cycle assessment --- CO2 emissions --- photovoltaic systems --- electric vehicles --- VIPV --- cost–benefit analysis