In this interview realized by Markus Börner for Supply Chain Management Startups, Adrien Duruisseau (Co-founder & COO) introduces Atoptima, an optimization software editor automating decision-making for operations planning problems.
Published Mon, 16 May 2022
Dans le cadre d’un appel à projets de l’ADEME, la plateforme AppliColis, experte de la livraison écologique urbaine, et la DeepTech Atoptima, éditeur de logiciels d’optimisation, développent un système centralisé d’organisation d’une logistique du dernier kilomètre douce, multimodale et intelligente.
Published Tue, 29 Mar 2022
Across all sectors, the main challenges of operations management are instability of demand (67%), risk of supply disruption (61%), risk of increased costs (48%) and environmental footprint (45%).* Data-driven decision making has become a must-have to handle such large-scale and volatile operations planning problems.
Published Mon, 28 Feb 2022
The critical stages of the supply chain are often acting as separate silos, driving to short-sighted decision making and resulting to overstocks / out-of-stocks, waste of resources, disconnected prices to fix mistakes and bad customer relations. Digital supply chain synchronization is key to tend towards a seamless supply chain.
Published Tue, 08 Feb 2022
According to a recent study led by Infopro Digital Studies among 207 industry decision-makers, this infographics reveals the trends and challenges of the Supply Chain's digital transformation. The Covid-19 crisis has revealed a crucial need to equip with digital tools and decision support technologies for better management of operations.
Published Wed, 26 Jan 2022
You have become aware of the significant benefits that can be expected from data-driven decision-making and especially prescriptive analytics and you must now be wondering how to implement such tools into your organization. Traditionally, there are two kinds of players on the market that would offer « optimization » solutions. What are their characteristics and which are relevant for your specific problem?
Published Tue, 25 Jan 2022
After more than 25 years of a distinguished academic career in Operations Research and Combinatorial Optimization, François Vanderbeck took the step of co-founding a startup. Atoptima is this DeepTech, created to bring the state-of-the-art of optimization technologies for operations planning that is needed to handle the real-life complexity of problems. In the following interview, François Vanderbeck — CEO of Atoptima — tells us more about his background and his motivation for this professional move from researcher to entrepreneur.
Published Mon, 13 Dec 2021
For the year 2021, Global Footprint Network* estimates that humanity’s Ecological Footprint would require 1.7 Earth to meet the Planet’s Biocapacity (the amount of ecological resources Earth is able to generate that year). A well-reasoned use of resources has become a major issue. Mathematical Optimization technologies can contribute to face these environmental challenges by improving decision-making of resource assignment.
Published Mon, 15 Nov 2021
A recent study carried out by Roland Berger and France Supply Chain reveals the concerns and priorities in operations management, based on a survey among a various sample of companies from different industries. Since the covid-19 pandemic in particular, organizations are facing numerous challenges with their operations management process.
Published Mon, 01 Nov 2021
Mathematical Optimization and Machine Learning are two main technologies allowing on one side to generate solutions for complex decisions and on the other to predict actions to guide future decisions. In a recent article published by Forbes, Edward Rothberg (CEO and Co-founder of Gurobi) points out 4 main differences between Mathematical Optimization and Machine Learning related to the type of analytics*, the applications, the adaptability and the maturity.
Published Mon, 25 Oct 2021
Optimization in supply chain and logistics, yield management, production planning or project management are well-known cases that can benefit from prescriptive analytics. But the use cases extend to many other data-driven decision-making situations with great potential…
Published Mon, 11 Oct 2021
La DeepTech Atoptima, qui conçoit et développe des modules d’optimisation pour la planification des tâches et des tournées de véhicules, annonce boucler son premier tour de table d’un montant de 1,2 million d’euros auprès d’Epopée Gestion, Bpifrance, ADEME et Région Nouvelle-Aquitaine.
Published Wed, 08 Sep 2021