MORNING CASE

We are Districon, a supply chain company

Districon thinks and works globally, developing new supply chain strategies and creating supply chain solutions. From strategy to implementation, realistic, energetic, and always focused on operating results. Mastering Flow. We work in many different industries, like retail, logistics, production, city infrastructure and we always deal with the main supply chain challenges: digitalization, sustainability, (de-) globalization, supply chain as a service, capability developments.

Data analytics helps supply chain & logistics leaders make sense of the growing volumes of information for further growth and development. Supply chains are growing in complexity, are impacted by many variances and customers demand more flexibility, faster answers, lower costs and all of that based on a sustainable infrastructure. We are developers of key supply chain data analytics capabilities by enabling our customers to extract & translate the right supply chain data, to design & implement smart supply chain models and applications and to self enable users to create business value. Our mission is to become the industry reference for developing high performing supply chain capabilities based on hands-on experience, best practices and analytical technology, where a combination of our data analytic skills & domain-knowledge is required to realize true performance impact.

STATISTICS

Sectors: Consulting, Operations Research, Data Science
Locations: 2 (2  worldwide)
Male-Female ratio: 70-30 %
Number of employees (in Holland): 70
Number of employees outside Holland: 20
Number of starting positions per year: 5
Number of internship positions per year: 4
Annual working students: 2
Average age: 32

CASE

Retail store clustering
To guarantee a good shelf availability in stores, retailers need to optimize their store distribution strategy & planning. This puzzle is a challenge as supply chain planners are confronted with many conflicting requirements and constraints, like store opening windows, sales patters, store replenishment capacity, transport capacity, city distribution regulations, etc. By applying optimization, machine learning and /or other new techniques we want to solve the puzzle together with you.