Les principaux enjeux des supply chain d’aujourd’hui concernent l’adaptation à des environnements instables. Demand Driven Material Requirements Planning (DDMRP) est une méthode récente et prometteuse de gestion des flux qui a été conçue pour faire face aux problématiques actuelles. Le travail de recherche réalisé détaille et positionne DDMRP par rapport aux autres méthodes connues de pilotage de flux. Le but de ce travail est de challenger les principales promesses de DDMRP. Pour cela, un plan d’expériences a été réalisé sur un cas d’étude pour évaluer le comportement de MRP II, Kanban et DDMRP face à différentes sources de variabilité. Le dimensionnement des buffers DDMRP est un sujet majeur pour la méthode. Il a été traité sur un cas d’étude avec un travail d’optimisation. Toutes les contributions ont été expérimentées avec l’implémentation de DDMRP sur un cas réel. La thèse permet ainsi de valider certains atouts de DDMRP, tels que l’adaptation du système à différentes formes de variabilités, mais elle permet également de souligner des perspectives majeures de recherche sur ce sujet. / The main Supply Chain current issues concern the adaptation to unstable environments. Demand Driven Material Requirements Planning (DDMRP) is a recent and promising material management method that is designed to tackle these current issues. The research work details and classifies DDMRP compared to the other material management methods known. The goal of this work is to challenge the main DDMRP promises. This is why a design of experiments was realised on a case study in order to assess MRP II, Kanban and DDMRP behaviours with different variability sources. The DDMRP buffer sizing is a major issue. It was dealt with an optimisation work on a case study. All the contributions were experimented with a DDMRP implementation on a real case. The research work enables several DDMRP advantages to be validated, such as the system adjustment to different variability sources, however this work also allows research perspectives to be underlined.

Manufacturing industries used to develop their operation strategies focusing on the cost of manufacturing, high volume production, and stabilizing the customer demand. But due to advancements in technology and evolving customer needs, the market demand became highly volatile, dynamic and customers expected customization, low volume products, and faster deliveries. This evolution in customer needs has pushed the companies to improve their operating systems to be more flexible, agile, and adaptable to the market’s dynamic character. In order to effectively evolves themselves and achieve more flexibility, manufacturing companies had to implement effective manufacturing, planning, and control systems.  The first breakthrough in planning systems came in the year 1975 where a systemic approach called material requirements planning was introduced by Orlicky. MRP has become the global for production planning and inventory management in manufacturing industries. Later, over the years, research on the planning systems has brought modifications in MRP and it was evolved into closed-loop MRP. Further into the late 1980’s availability of technology led to an introduction of a newly evolved system called the Manufacturing resource planning which resulted in a holistic approach in material planning involving, financial and accounting functions which improved the planning efficiency. Further advancement in technology resulted in advanced planning systems like Enterprise resource planning and Advanced planning and scheduling.  On the contrary, though there has been a lot of advancement in technology and effective production planning methods, there are still discrepancies in obtained results when compared to theory. This is because the existing systems were based either solely on push production or pull production strategy. There is a lack of a hybrid system that includes the positives of both production strategies and negates the MRP conflict. However, in the year 2011, a new concept called demand-driven material requirements planning was introduced by Ptak & Smith, which was a fusion of the core MRP, theory of constraints, and Lean principles. Since the introduction DDMRP has seen an increase in implementation across industries which claimed a significant improvement in performance, on-time delivery, reduction in inventory, and reduced stock-outs. DDMRP has received very little attention in academia due to a lack of awareness among researchers and industries. A literature review approach was used to collect and analyze the data on DDMRP and its advantages. The objective of this thesis was to shed light on the process of DDMRP, its pros, and cons in implementing the new material planning system.

An organization's systematic operation and supply chain management are the criteria for developing a sustainable competitive advantage over other companies. However, fulfilling this goal has become increasingly difficult in today's business environment, as traditional planning and control methods were not designed to withstand such difficulty, hence making the supply chain very complex. This complexity emanated due to high demand and supply variability in the system. In this regard, companies experience a lack of required materials or unavailability of the materials needed for production purposes. Such a situation prompts the movement of planners migrating from the traditional deterministic domain, Push-based MRP methodology to a more systematic pull-based demand-driven material requirement planning (DDMRP) approach that works in a more complex and unstable business environment, with an unparalleled characteristic for maintaining flow stability in the manufacturing operation. The establishment of DDMRP is for the sole purpose of maintaining a proper flow with the main intent of inventory monitoring as well as the associated cost. This proposition suggests the identification of specific items at strategic positions for planning maintenance flow in the production process. It basically centers on regular monitoring of the inventory buffer level sufficient enough to sustain the flow in order to avoid any operational disruption. The Insufficient understanding of the DDMRP methodology makes the practitioners unable to implement the concept in a proper manner, thereby not achieving the proposed result. This research, however, investigates the subject of DDMRP as a more efficient planning and execution strategy for proper flow management affecting the overall dynamics of supply chain management.

Работа посвящена эмпирическому исследованию проблемам повышения эффективности деятельности промышленных предприятий. Считается, что ключевым направлением развития любого предприятия является его производственное планирование. С учетом тенденций и особенностей современного рынка, предполагается, что наиболее перспективным решением является внедрение гибридной системы производственного планирования, которая объединяет в себе элементы наиболее результативных методологий. В работе разработан методический подход к управлению производственным планированием на предприятии, базирующийся на самодиагностике состояния системы оперативного планирования и алгоритме по выбору вида производственного планирования, в основе которого лежит оценка функционирования системы с помощью показателей эффективности предприятия, имеющих как прямое, так и косвенное влияние, что позволит повысить эффективность управления и изменить состав и приоритеты основных ресурсов предприятия. / The research is devoted to an empirical study of the problems of improving the efficiency of industrial enterprises. It is hypothesized that the key direction of development of any enterprise is its production planning. Taking into account the trends and features of the modern market, it is assumed that the most promising solution is the introduction of a hybrid production planning system that combines elements of the most effective methodologies. There is developed a methodological approach to the management of production planning at the enterprise. It is based on 2 steps: the first step is self-diagnosis of the state of the operational planning system and the second on algorithm for choosing the type of production planning, which is based on the assessment of the system functioning using the enterprise performance indicators that have both direct and indirect influence, which will increase the management efficiency and change the composition and priorities of the main resources of the enterprise.

Hoy en día, las empresas de manufactura lidian con un entorno de producción dinámico, en los cuales el tiempo de entrega es el criterio fundamental para captar pedidos. Los sistemas de planificación y control de la producción (PPC) han venido jugado un papel crucial, sin embargo, en este nuevo contexto, los modelos más conocidos de PPC ya no satisfacen las necesidades de las organizaciones. Es así como este artículo propone un modelo de PPC basado en el sistema Demand-Driven MRP apoyado por las etapas del ciclo PDCA a fin de que se pueda desempeñar de manera óptima en entornos dinámicos como los modelos de fabricación make-to-order. Como resultado de la simulación en el caso de estudio se obtuvo el 100% de cumplimiento de entregas a tiempo y una reducción del lead time en 50.33%. Por tanto, se concluye que el modelo propuesto es aplicable y beneficioso en dicho contexto. / Nowadays, manufacturing companies deal with a dynamic production environment, in which delivery time is the fundamental criterion to get orders. Production planning and control (PPC) systems have played a crucial role, however, in this new context, the most popular PPC models no longer meet the needs of organizations. This is how this article proposes a PPC model based on the Demand-Driven MRP system supported by the stages of the PDCA cycle so that it can perform optimally in dynamic environments such as make-to-order manufacturing models. As a result of the simulation in the case study, 100% compliance with deliveries on time was obtained and a reduction in lead time by 50.33%. Therefore, it is concluded that the proposed model is applicable and beneficial in this context. / Trabajo de investigación