How Toyota's product design and development process helps find the best solutions and develop successful products. Toyota Motor Corporation is an industry leader in product development lead time while using fewer engineers than its U.S. competitors. It has also shown remarkable consistency in market share growth and profit per vehicle, which led to cash reserves of $21 billion, exceeding those ...

Integrating subsystems of manufacturing processes, material flow, organization and information to form a manufacturing system is vital to a smooth and responsive operation in the dynamic market. This article presents an integrated system framework for product design optimization in terms of cost, quality and reliability considerations, which are mapped onto the computer integrated manufacture –...

as spending on it rises steeply, organizations become increasingly technology-dependent and, consequently, they become highly vulnerable to the risks of it failure. the latest report on the failure of many complex it projects to deliver key benefits on time and to target cost and specification was published jointly by the royal academy of engineering and the british computer society. one of the...

Recently two new degree concepts have been defined in graph theory: ev-degree and ve-degree. Also the evdegree and ve-degree Zagreb and Randić indices have been defined very recently as parallel of the classical definitions of Zagreb and Randić indices. It was shown that ev-degree and ve-degree topological indices can be used as possible tools in QSPR researches . In this paper we d...

Both in developed and developing countries, the construction industry is regarded as an economic investment activity without forgetting its significant relationship with national development due to great contributions gross domestic product (GDP) of country. Concerning processes, both risk management (RM) value engineering (VE) techniques have commonalities from beginning up completion project ...

Interactive dynamic influence diagrams (I-DIDs) provide an explicit way of modeling how a subject agent solves decision making problems in the presence of other agents in a common setting. To optimize its decisions, the subject agent needs to predict the other agents’ behavior, that is generally obtained by solving their candidate models. This becomes extremely difficult since the model space m...