Two period product choice models for commercial vehicles.

Choosing products to launch from a set of platform based variants and determining their prices are some of the critical decisions involved in any new product development (NPD) process. Commercial vehicles are products, whose sales are closely tied with the economic conditions. The manufacturers have to choose the variants of the commercial vehicles to launch and sequence the product launches in such a way that profitability is maximized. We develop a two period model to choose the platform based variants, their prices and launch sequences with the two periods, spanning two economic conditions, for example boom and recession. Our model helps in determining realistic prices of products in different economic conditions

Risk assessment of supply chain during new product development: Applications in discrete and process manufacturing industries

Supply chains have become increasingly global and complex over the years with manufacturers sourcing raw materials and components from geographically-dispersed suppliers. Reduced costs, access to capacity, focus on core activities, etc are some of the advantages associated with outsourcing different aspects of product development, manufacturing and logistics. However, managing a complex network of global suppliers and sub-contractors to ensure cost-effective, high-quality and timely deliveries has become a daunting task for practicing managers. Moreover, customers have become increasingly demanding and there is pressure on companies across industries to develop and launch a wide variety of products in shorter time. To manage a complex supply network, it is an imperative that supply chain decisions are made integral part of the new product planning. Any glitch in the global supply chain not only will raise costs related to the remedial actions which are required after the occurrence of the event but also can delay the launch of products with serious financial losses to the participating companies in the supply chain

Genetic transformation of Tylophora indica with Agrobacterium rhizogenes A4: grow ans tylophorine productivity in different transformed root clones

doi:10.1007/s00299-004-0904-xInternational audienc