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Transportation and supply chain managers are facing a complex challenge: can they start transitioning to zero-emission mobility at a reasonable cost, without impacting daily operations? It’s an issue they can no longer postpone.
Supporting our customers in the transition to e-mobility is an important strategic topic for ORTEC. It’s an area where we can have a lot of positive impact and live up to ORTEC’s mission: Improving the world using our passion for mathematics. To engage with our customers on this topic and help them embark on this journey, we are publishing a series of articles. In this first article, we share our vision on how mathematics and data can accelerate the transition to e-mobility. We also explain how an explorative innovation workshop enables you to get internal alignment and identify which challenges are worth solving first.
By Guido de Wit, Practice Lead Sustainability
Bremen, June 2022 - Logistics software specialist ORTEC now also offers its load optimization as “Software as a Service”. This means: Manufacturers, retailers, but also logistics service providers, can now design their shipping and transport processes better and more efficiently by using the application directly from the cloud – and thus do without a comprehensive, in-house IT infrastructure.
Answer to above question? It depends on what they are used for
This became clear to me on a sunny afternoon in Southern France, when my customer proudly presented a load fill KPI averaging 95%. This ended our sales pitch based at 85% average load fill (which we calculated using their data) – and would lose said customer 850.000 Euro profit per year. Every year.
While P&G, Coca-Cola, Walmart and many others save hundreds of thousands or even millions of Euros a year using our technology on a daily basis, and this over many years, in the case above, our customer
was convinced that no further improvements to their load fills were possible.
By Dick Zijlstra
An e-book for companies that want to improve decision-making with analytics
Data abounds, but how do you leverage it to drive profitability and efficiency? What does it take to implement analytics in transportation and logistics? This e-book offers a practical approach to achieve a more effective supply chain with data. Your journey starts with two steps:
Empty space is a huge problem in logistics. This article explores how load optimization can help you tackle this problem and ship less air.
By Stefan Althoff
The driver shortage is a big problem, especially in parcel delivery. In Australia, transport companies say that the shortage is limiting their business operations. Job vacancies in the industry are increasing at 4.6% every year with almost 20,000 vacancies reported on job portals as of April 2022. On top of this, customers are becoming more demanding: they want to receive their packages on time, and they want to be informed accurately about parcel deliveries. This puts more stress on the driver’s side.
In this article, we will cover four ways to engage parcel delivery drivers and improve their satisfaction at work using optimization and technology.
By Goos Kant, Professor Logistic Optimization Tilburg University & Managing Partner ORTEC
April 2022
Shipping supply chains are characterized by long lead times and little flexibility. At the same time, the Oil & Gas industry is subject to rising prices, and the levels of disruption and uncertainty increase. One of the biggest challenges today is to respond and anticipate accordingly. The ability to quickly adapt to changing circumstances might even be a prerequisite for surviving in today’s volatile market. But those who manage it well will not only survive but can achieve some real competitive advantage over their industry peers.
This article is powered by Sandra Bronsvoort, Analytics Consultant, ORTEC ANZ
Will AI take over our jobs? Perhaps even take over the world? And what about malicious intent? There are all kinds of myths surrounding Artificial Intelligence (AI). With extensive focus on such issues, little attention is being devoted to the opportunities that algorithms and AI offer us. There are opportunities all around us, even for solving complex (social) issues. Yet... these opportunities need to be identified and tackled. What (hidden) opportunities are out there? What are the myths? And are these myths also risks? In this second part out of two, we take a closer look at the myths. Missed part one about the opportunities? You can read it here.
A conversation with Gerrit Timmer, Co-founder and Chief Science Officer (CSO) at ORTEC
Decision making in highly complex supply chains
The fuel industry is characterized by its constant volatility and high level of uncertainty due to shifting market dynamics and changing regulations. This makes fuel supply chains highly complex and supply chain professionals might find themselves facing challenging questions on a daily basis.
You might want to investigate the impact of closing a refinery or acquiring part of your competitors’ network. You wonder whether or not it is possible to decommission a tank entirely while still meeting downstream demand at your service stations. Or maybe it is better to swap it and increase storage for another product instead? Without the right tools, answering those questions is not an easy task.