Case Study
Never stop learning
Case 1
With the implementation of 2 energy efficiency projects, an process industry client utilized new technology and implemented process changes to conserve energy and save money. The company explored several options and installed a turbine generator and combined heat & power (CHP)/back-pressure steam turbine, which saved the company nearly $275,000 annually in reduced energy costs. The new equipment also had an added benefit of reducing carbon dioxide emissions by more than 2000 tonnes per year, sulfur dioxide emissions by 11,000 kg per year and nitrous oxide (NOx) emissions by 7,000 kg per year. For every kilowatt hour of energy saved, 0.9 kg of carbon dioxide emission is reduced.
Case 2
The client is a manufacturer of high-quality auto=parts products for customers in the automotive, engineering, and other industries. It has customers across 5 countries worldwide, revenues of $ 500 million and 4,000 employees. ThinkQ was engaged to make scrap purchasing more transparent and available for analysis, to recommend optimal time and price for purchasing scrap metal and to align the incentives of scrap metal buyers with their business objectives. ThinkQ approach We used over 10 data sources, mainly from the client’s ERP systems to consolidate and visualize 12 months of purchasing data and employee timesheets. This enabled us to draw insights on purchasing volume and costs and productivity of employees. We then analyzed and compared purchase prices with benchmarks and historic trends. Through visualizing data from a seasonality lens, we identify spending patterns and tracked price variations to help optimize purchasing to take full advantage of low market pricing opportunities. We evaluated impurities on scrap metal purchases at a supplier level to improve quality and reduce cost inefficiency through adjusting pricing or fines with offending suppliers and leading to re-evaluation with poor performing suppliers. ThinkQ impact This activity enabled us to deliver cost savings across manufacturing process and purchasing functions with key outcomes: Scrap metal manufacturing process cost reduction of 10% was identified through our supply chain data analytical approach. Delivered a 1% cost reduction on scrap purchasing and a simple to use analytic systems for evaluating purchasing performance. The Digital tool we developed was integrated with the client’s ERP system for improved functionality, ease of use and automation. Annualized total savings were in excess of USD 450,000
Case 3
Implemented changes in several companies. The general approach consists of
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