Indonesia is home to more than 500 volcanoes and is threatened by some of the greatest seismic activity in the world. Much of this activity is offshore and brings the significant added risk of tsunamis. When disasters strike, especially in remote areas of the Indonesian archipelago, existing response capacities are invariably stretched. The challenge was to find a logistics network design that would facilitate disaster relief operations.
Valorix, a Canadian company specializing in waste management logistics, faced a major challenge in organic waste collection and disposal. InnovLOG, the Québec Institute for Innovation in Logistics, stepped in to streamline Valorix's routes. By using anyLogistix for route optimization in logistics, InnovLOG successfully managed to cut costs and emissions, improving Valorix's efficiency and corporate image.
Decisiones Logísticas partnered with a household staple product distributor to optimize their logistical network. They were able to identify optimal locations and sizes for distribution centers across the country by leveraging anyLogistix’s supply chain planning solutions. The project used network optimization tools and techniques to analyze transportation costs, customer distribution, and product turnover rates. It resulted in streamlined logistics operations and enhanced adaptability to regional demands.
Wolf, a leading system provider of heating, ventilation, and solar technology, needed to optimize their logistics operations in Europe. They collaborated with a consulting company to improve their supply chain efficiency through strategic network design. The project explored various locations for new distribution centers and tested multiple scenarios to find the best one for supply chain cost reduction.
An international company with an FMCG distribution network in Turkey faced challenges related to high transportation costs, optimizing their supply chain, and meeting the demands of a growing market. They partnered with Phoenix Analytics to build a digital twin using anyLogistix, which would enable data-driven decisions. The project resulted in a 10% reduction in transportation costs and improved supply chain demand forecasting.
COVID-19 negatively impacted the Public Distribution System in India by restricting both human movement and the transportation of goods. The National Institute of Industrial Engineering, now the Indian Institute of Management Mumbai, was committed to overcoming these challenges and so developed a simulation that would help manage supply chain disruptions, mitigating the effects of this pandemic as well as any future ones.
A Canadian agricultural supplier faced significant logistical challenges due to the high running costs of the logistics network. The company wanted to assess its supply chain to improve its efficiency and effectiveness. By using anyLogistix's supply chain modeling and design capabilities, the company was advised to make changes in the logistics network that would deliver substantial improvements in both operational efficiency and environmental sustainability.
For over 100 years Tessenderlo Group, a €1.6B diversified industrial organization has been delivering world-class products and solutions around agriculture and bio residuals. In North America, Tessenderlo has enjoyed steady organic growth since its inception. However, with constraints in their supply chain network becoming more evident, Tessenderlo recognized transportation asset availability, accessibility of transport modes, production capacity utilization, and operating costs needed to improve.
A leading Colombian company in food logistics needed to organize its complex distribution network operations for 10 years. They sought the expertise of Decisiones Logísticas, a consulting firm, to address the challenge. Through a three-phase approach, the team achieved an expected cost reduction of around 3%, demonstrating the advantages of supply chain simulation modeling.
A multinational FMCG corporation wanted to review its logistics network and inventory policies and perform supply chain optimization. Seeing opportunities in digital distribution network optimization, they created a computer model of the existing network and test business assumptions in a risk-free environment to create a plan for implementation of best-performing strategies in real life.
