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.
Weekends Only exists to provide quality and affordable furniture for every home and budget. A top priority among Weekends Only’s operational challenges is to continuously optimize the distribution of procured furniture from vendors all over the world to its warehouses and retail stores in the United States. The logistics team at Weekends Only wanted to explore the cost-benefit of multi-modal transportation, via a combination of ocean, barge, and truck, through the Port of New Orleans and the Mississippi River.
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.
A large European home improvement goods manufacturer was challenged to move one of its plants to another city due to an increase in rent. The supply chain analysts had three possible places for relocation. They had to choose one based on client geography and locations of other production facilities and warehouses.
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.
Agricultural supply chains face unique challenges that logistics analysis can solve. See how the University of North Texas uses anyLogistix to optimize transportation, reduce waste, and improve efficiency. This supply chain optimization use case demonstrated a potential cost reduction of 6%, translating into millions of dollars saved.
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.
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.
A pharmaceutical company faced the complex challenge of end-to-end supply chain management for a global launch of a new product. Utilizing advanced simulations, the hired consultants ran different scenarios on inventory policies, demand variation, and other factors. The end-to-end supply chain optimization approach helped in building a resilient supply chain and prepared the company for success in key markets.
This case study offers a real-world example of supply chain planning in the building materials industry. SimPlan used anyLogistix software to help a German manufacturer optimize its distribution network to meet future growth. Key strategies included greenfield analysis, network redesign, and cost analysis. Optimization scenarios delivered up to €3.3 million in transportation savings.
