The paper presents a methodology for the quantitative assessment of sustainability applied to the design of chemical plants. Specifically, we focus on the economic and environmental sustainability. The methodology implemented for the economic assessment is the predictive conceptual design (PCD) that uses as indicator the cumulated dynamic economic potential over a long-term horizon. PCD account...

the objective of the current study was to develop and optimize a sublingual tablet formulation of captopril which is an effective drug in the treatment of hypertension. captopril containing tablets were prepared by direct compression method using different ingredients such as polyvinyl pyrrolidone, starch 1500, sodium starch glycolate and lactose (independent variables) and magnesium stearate, ...

Micron-wood-fiber molded products are new kinds of high strength man-made wooden products. They are innovative products among molded fiber products nowadays. This paper studied a new method to design their screw joints using optimal design. It has combined the optimal design with reliability design ingeniously. The CAD programming method was put forward, which can optimize the structural parame...

one of the most important problems of the designs proposed by traditional economic-statistical approaches of control charts is inefficiency in the face of uncertainty. uncertainty in the parameters of economic-statistical models may lead to failure in rapidly detecting changes in processes and impose greater costs to the organization. monitoring the machining process in an automotive industry e...

When the number of data used for an identification experiment is small, the data contain transient effects and these effects contribute to the accuracy of the identified model. Consequently, when designing the optimal input signal for an identification experiment in the case of small data set, these transient effects have to be taken into account. In this paper, we present a methodology for opt...

In this paper optimal experimental designs for inverse quadratic regression models are determined. We consider two different parameterizations of the model and investigate local optimal designs with respect to the c-, Dand Ecriteria, which reflect various aspects of the precision of the maximum likelihood estimator for the parameters in inverse quadratic regression models. In particular it is d...

We study Cournot competition among firms in a networked marketplace that is centrally managed by a market maker. In particular, we study a situation in which a market maker facilitates trade between geographically separate markets via a constrained transport network. Our focus is on understanding the consequences of the design of the market maker and on providing tools for optimal design. To th...

We study the optimal design of incentive contracts for experts in different collusion environments, and explore implications for the organization of delegated expertise. We consider a principal relying on experts to gather and report two signals about a project’s value. The principal can have a single expert gather both signals or two experts gather one signal each. We show that absent collusio...

The remote sensing image can not only show the panorama information of the fault distribution, but also offer the information about the geology, physiognomy and digital elevation with high precision. In this paper we took the Hangzhou area as the example and systematically introduced the application of the remote sensing technology in the optimal design of the shallow artificial seismic line, a...

Considering the large amount of work that goes into the design of LNG processes, there is surprisingly little attention to their subsequent operation. This partly comes from the assumption that optimal design and optimal operation are the same, but this is not generally true. In this paper we study the optimal operation of a relatively simple LNG process, namely the PRICO process.