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Thanks to increased efforts in autonomous Artificial Intelligence, the ORITAMES APS Scheduler v2.5 – created by Brussels-based company MangoGem S.A., is now capable of handling levels of resources and scenarios of equipment, people, and consumables.

“The ORITAMES APS Scheduler v2.5 uses AI-assisted autonomous machine learning to explore optimization scenarios better than traditional approaches, combining the best of machine computing power and human know-how to facilitate better planning and scheduling,” said Ben Rodriguez, Chief Technology Officer of MangoGem. With solver heuristics notoriously difficult to fine tune, the ORITAMES APS Scheduler v2.5 discovers which settings work best, checks validity and detects trends in data to improve ramp-up and adoption. It can also discover the most promising improvement scenarios and propose them as potential solutions to human planners. It combines several AI-assisted machine learning meta-heuristics including Genetic Algorithms (GA), Taboo Search (TS), Simulated Annealing (SA), Swarm Intelligence (SI) amongst others.”

By breaking the barriers of a traditional APS, ORITAMES APS v2.5 sets a new standard by taking on and solving complex and multi-layered cases typical for larger companies.

“The use of AI-assisted autonomous machine learning also eases the integration and reduces the cost of implementation of the ORITAMES APS Scheduler v2.5 within overall supply chain management (SCM) strategies by making modeling easier, improving data quality and decreasing dependency on human expertise,” he concluded.

This advanced software platform was specifically designed to cater to a variety of industries including discrete manufacturing, construction and infrastructure projects, logistics and transportation, equipment and property maintenance, engineering projects and service organizations.

“The AI-assisted disruptive technology delivered in ORITAMES APS Scheduler v2.5 is capable of solving many of the operational performance challenges of Industry 4.0,” concluded Ben Rodriguez, CTO of MangoGem. “It uses AI-assisted autonomous machine learning techniques with multiple solvers and heuristics and, depending on an analysis of the case at hand, will apply many methods to find the one that produces the best results.”

More responsive, productive and compliant supply chain operations serve as the primary goals behind global solutions provider Descartes’ announcement of further deploying Microsoft Azure. The company confirmed the increased integration will support manufacturers, retailers, distributors and logistics services providers.

“We selected Microsoft Azure for its impressive features, scalability and breath of solutions, and are excited at the value Microsoft’s solutions bring to our logistics solutions,” said Ken Wood, EVP of Product Management at Descartes. “The movement of goods, both domestically and internationally and across multiple modes of transportation, generates massive amounts of data associated with logistics transactions. As supply chain management becomes even more important to companies’ financial success, the ability to derive greater business value from logistics data can help organizations develop strategies and tactics to spur growth and differentiate themselves.”

Descartes currently employs Azure services for research and import/export data, including Descartes Datamyne™ Market Insight and Descartes MacroPoint™ with plans to integrate more of the platform’s solutions portfolio to better support customers by providing the tools necessary to make informed, data-driven decisions, according to the release.

“We are pleased to see companies like Descartes add value by integrating its cloud-based solutions with Microsoft Azure. The deep product integration with Descartes will help to drive the technology-enabled capabilities that its global customers can use to enhance logistical capabilities,” Suzanne Gagliese, VP One Commercial Partner, at Microsoft said.

ORITAMES APS Scheduler v2.5 Breaks Traditional Barriers

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