This article proposes an intertemporal risk-value (IRV) model that integrates probability-time tradeoff, time-value tradeoff, and risk-value tradeoff into one unified framework. We obtain a general probability-time tradeoff, which yields a formal representation form to reflect the psychological distance of a decisionmaker in evaluating a temporal lottery. This intuition of probability-time trad...

An important feature of heat exchanger network design is the energy-capital tradeoff. This tradeoff has been regarded as complex due to the number of structural network alternatives usually available, each being subject to continuous optimization. Current procedures tend to first identify minimum energy networks. The total cost (capital and energy) can then be improved by evolution and continuo...

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Hardware square-root units require large numbers of gates even for iterative implementations. In this paper, we present four low-cost high-performance fullypipelined n-select implementations (nS-Root) based on a non-restoring-remainder square root algorithm. The nSRoot uses a parallel array of carry-save adders (CSAs). For a square root bit calculation, a CSA is used once. This means that the c...

This paper introduces time-tradeoff (TTO) sequences as a new tool to analyze time inconsistency and intertemporal choice. TTO sequences simplify the measurement of discount functions, requiring no assumption about utility. They also simplify the qualitative testing of time inconsistencies, and allow for quantitative measurements thereof. TTO sequences can easily be administered using only penci...

Maintenance strategies are typically implemented by optimizing only the cost whilst the reliability of facility performance is neglected. This study proposes a novel algorithm using multi-objective particle swarm optimization (MOPSO) technique to evaluate the cost-reliability tradeoff in a flexible maintenance strategy based on non-dominant solutions. Moreover, a probabilistic model for regress...

We study the strategic design of a supply chain for new products. Planning a supply chain for a new product requires addressing both uncertainties in demand and cost and changes in market conditions over time. We develop a mathematical programming model for new products that includes both financial viability and robustness relative to uncertainty. An example based on a Fortune 200 company’s eff...

Network designing often involves two significant yet contradictive objectives: enhancing the whole network’s transmission efficiency while at the same time lowering the whole network’s designing cost. Deep study of the interplay between major aspects of network planning– network topology, routing algorithm and node’s transmission capability configuration–reveals that good tradeoff canbe achieve...