Firms manufacturing highly innovative and complex products often rely on the expertise of their suppliers who provide critical components that enable core functionality of products. During the product design stage there is often considerable uncertainty about component production cost, and it is of interest to both the manufacturer and the supplier to enter into a collaborative relationship in ...

Pharmaceutical and specialty chemical production often causes high waste to product ratios. This can be explained by complex reaction mechanisms that require complicated multi-step production routes as well as stringent product purity and quality requirements. Therefore a large number of different types and levels of waste are leaving pharmaceutical production campaigns and need material recove...

This paper presents an analytic procedure for the value added to different production levels with different policy options. The approach is stochastic and thus provides a framework for informed decision-making on productivity growth under uncertainty conditions. The model was applied to data collected from a firm and re-sults recommend that the firm should redevelop if in diversification and sy...

this paper assumes the cell formation problem as a distributed decision network. it proposes an approach based on application and extension of information theory concepts, in order to analyze informational complexity in an agent- based system, due to interdependence between agents. based on this approach, new quantitative concepts and definitions are proposed in order to measure the amount of t...

Using the Mandelstam-Tamm method we derive time-energy uncertainty relations for neutrino oscillations. We demonstrate that the small energy uncertainty of antineutrinos in a recently considered experiment with recoilless resonant (Mössbauer) production and absorption of tritium antineutrinos is in conflict with the energy uncertainty which, according to the time-energy uncertainty relation, is...

in this paper the fuzzy structural reliability index was determined through modeling epistemic uncertainty arising from ambiguity in statistical parameters of random variables. the first order reliability method (form) has been used and a robust genetic algorithm in the alpha level optimization method has been proposed for the determination of the fuzzy reliability index. the sensitivity level ...

This thesis consists of uncertainty and techno-economic studies of two different biofuels production pathways (catalytic pyrolysis and gasification). The objective of this paper is to obtain a side-by-side techno-economic comparison of in situ and ex situ catalytic pyrolysis, and gasification state-of-technology and target scenarios that addresses both sensitivity and uncertainty analysis in th...