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Vehicle analytical models are often favorable due to describing the physical phenomena associated with vehicle operation following from the principles of physics, with explainable mathematical trends and with extendable modeling to other types of vehicle. However, no experimentally validated analytical model has been developed as yet of diesel engine fuel consumption rate. The present paper demonstrates and validates for trucks and light commercial vehicles an analytical model of supercharged diesel engine fuel consumption rate. The study points out with 99.6% coefficient of determination that the average percentage of deviation of the steady speed-based simulated results from the corresponding field data is 3.7% for all Freeway cycles. The paper also shows with 98% coefficient of determination that the average percentage of deviation of the acceleration-based simulated results from the corresponding field data under negative acceleration is 0.12 %.

The lean production system has been successful in the cost-based winning order criterion markets. However, the automotive market has been volatile and the new criterion of winning orders has been availability, which has called for an agile system. The present paper argues that because of fierce competition the current automotive market winning order criterion is now a blend of cost and availability. It shows how a hybrid lean-agile system can strategically meet such a challenging criterion. The study presents the drivers, attributes and providers in lean manufacturing, agile manufacturing, and hybrid lean-agile manufacturing systems. It investigates how the strategic facet of the proposed hybrid lean-agile manufacturing system addresses the six manufacturing competitive dimensions. It presents as well the hybrid lean-agile manufacturing key performance indicators.