All successful infrastructure products and processes exemplify the collaboration of engineering economics in space time. In their respective domains, two specialized professions optimize supply demand (S / D) energy money. If priorities diverge, structural economic failures result. The various stages a bridge lifecycle transitions between them are examined as vulnerable nodes links where diverg...

spurred by intensifying competition in global markets, most companies have been increasingly implementing supply chain management (scm) and information systems (is) practices. as well, globalization policies have created a more intensive competition amongst manufacturers; in additional the priority of supply over demand, market competition and importance of some factor such as quality, accounta...

We develop a price competition model for a new supply chain that competes in a market comprised of some rival supply chains. The new supply chain has one risk-neutral manufacturer and one risk-averse retailer in which the manufacturer is a leader and retailer is a follower. The manufacturer pays a fraction of the risk cost (caused by demand uncertainty) to the retailer. We apply this competitiv...

Amixed integer stochastic programming model is established to support strategic planning of bioenergy supply chain systems and optimal feedstock resource allocation in an uncertain decision environment. The two-stage stochastic programming model, together with a Lagrange relaxation based decomposition solution algorithm, was implemented in a realworld case study in California to explore the pot...

This paper explores the differences between demand and supply uncertainty in multi-echelon supply chains. Our central premise is that the insights gained from the study of one type of uncertainty often do not apply to the other. In fact, the two types of uncertainty are in a sense mirror images of each other, in that the optimal strategy for coping with supply uncertainty may be exactly opposit...