Work processes, collaborative

The Research Association of Micro Chemical Process Technology (abbreviation MCPT) was established in July 2002 with the aim to conduct experimental research on micro-chemical process technology through the collaborative work of its members. The association has been implementing R D together with its members from 29 different firms of various industries including the chemical industry, the precision machinery industry, and the electrical equipments and electronics industry. In addition, the participation of national, public, and private universities as well as independent administrative institutions has been greatly appreciated. 

In the case of HR-NMR the main stipulation is that all samples introduced to the analyzer must be in an entirely liquid form in order for the protons in the entire molecular distribution to be observed. Solids will not provide observable H signals and their presence will therefore reduce the efficacy of the on-line predictions or the model development. A sampling tap from the process lines must deliver separate streams (up to five) to the sample system at a flow rate of 260-340 liters per hour. The sample system must be designed to provide each sample stream to the NMR probe with a temperature variation of less than 3°C. Each sample system is custom designed to meet the above criteria by working in close collaboration with process engineers on the temperature, flows, pressures, viscosities, and solids content found in the various process lines. 

This workshop focused on factors such as work processes, systems, and technologies that could enable and accelerate the pace of innovation and increase the yield of major innovations from work in the basic chemical sciences. More specifically, speakers identified teamwork, commitment, standardized portfolio management, clear goals, well-defined milestones, and effective technology transfer as some of the characteristics of innovative institutions and practices. Successful approaches to innovation have taken place in different environments and between different environments—despite infrastmcture and cultural differences, both interdisciplinary collaborations and collaborations between industry and academia have proven beneficial for all parties. Funding must also be available to promote innovation at stages of research often ignored. 

Models for processes, products, collaboration/communication, subprocess interaction, subproduct integration etc. occur on every of these four layers and have to be mapped onto the next layer. So, we find the same basic notions on every layer. Let us explain this by taking the notion of a process as example On level 1 we speak of work processes of designers, containing subprocesses, which again contain process steps. On level 2 we speak of support of an essential step by a complex command of a tool, if the process is interactive, or of an... 

With the features discussed, CHEOPS constitutes a powerful platform for heterogeneous process simulation, which can collaboratively work with ROME and ModKit+ at various stages of the lifecycle of the process. Current applications of CHEOPS include tin simulation of the Polyamide-6 process, the simulation of a process for ethylene glycol production described by semi-empirical models [409], the modular dynamic simulation of a pentaerythritol crystallization process [252], and the coupled simulation of crystallization and fluid dynamics problems [253]. 

The result of this exemplary partial process is the C3 model for the delegation of the computational process anlysis to an externel partner in the scenario. Complementary to these interdisciplinary work processes also collaboration aspects within the plastics engineering domain were examined. Therefore the tasks of process analysis by integrated ID and 3D simulation as well as the interactive exploration of huge simulation result data in a virtual 3D space were improved by innovative tools and methods driven by real world scenarios. 

It is my pleasure and honor to edit this first book on MOO with focus on chemical engineering applications. Although process modeling and optimization has been my research interest since my doctoral studies around 1980, my interest and research in MOO began in 1998 when Prof. S.K. Gupta, Prof. A.K. Ray and I initiated collaborative work on the optimization of a steam reformer. Since then, we have studied optimization of many industrial reactors and processes that need to meet multiple objectives. I am thankful to both Prof. S.K. Gupta and Prof. A.K. Ray for the successful collaboration over the years. 

The studies by Job and Kuntz had a pecufiar fate. It may well have been due to the remoteness from practice and the lack of incentive for new variants of hydrogenation processes that Job s work almost became lost in the academic world. Likewise, the importance of the prefiminary work of Kuntz was recognized neither by his own company nor by the academic community, which may well be attributed to the fact that the results were recorded in patents and academic teachers and researchers are reluctant to take notice of such apocryphal literature. There was therefore a need for an industrial impetus and the readiness to carry out process development work based on these studies. This occurred after 1982 in collaborative work between Ruhrchemie AG and Rh6ne-Poulenc (RCH/RP) [26]. The combination of a basic idea from Rh6ne-Poulenc with the competence of a team at the then Ruhrchemie AG with ex-... 

Before conducting an interlaboratory study the aims should be clearly defined. An intercomparison can be held [7] (i) to detect the pitfalls of a conunonly applied method and to ascertain its performance in practice, or to evaluate the performance of a newly developed method (ii) to measure the quality of a laboratory or part of a laboratory e.g. audits for accredited laboratories) (iii) to improve the quality of a laboratory in collaborative work with mutual learning processes (iv) to certify the content of a reference material. 

The cultivation experiments are performed in the Institute of Technical Chemistry, University of Hannover, Germany during the collaboration work with the Institute of Biophysics and Biomedical Engineering, BAS, Bulgaria, granted by DFG. The process conditions of the E. coli MC4110 fed-batch cultivation are presented in details in [3]. 

To correct the background illumination Mathematical Morphology (Serra 1983) techniques are applied. Mathematical Morphology was bom in 1964 from the collaborative work of Georges Matheron and Jean Serra, at the Ecole des Mines de Paris, France. It provides an approach to the processing of digital images which is based on shape. 

In practice, however, this seems to be very difficult as a round-robin collaborative work of 12 international researchers shows. Target was to machine a steel sample of AISI 52100 (lOOCrb) in order to get —200 MPa compressive stress at the surface. As processes milling, grinding, turning, fine grinding, and EDM were applied. Only... 

The resources required to develop, implement, and evaluate programmes using this model are substantial. Thus, the model is intended for large-scale collaborative projects, in which centralised researchers support the technical development (e.g. summarise the research evidence and develop measures) and local teams throughout a hospital perform the adaptive work (engage staff in the project, tailor interventions to fit the local work processes, and identify how to modify work so that all patients can receive the intervention). 

Recently, one of the most visible agendas has been the urge for highly improved ( ideal ) decision processes. Ringstad and Andersen (2007) define lO as new work processes which use real time data to improve the collaboration between disciplines, organizations, companies and locations to achieve safety, better and faster decisions . They argue that lO improve decision making by increased availability of real time data, work performed independent of physical location, more work performed in a parallel fashion, multidisciplinary teamwork and a proactive focus. 

The work process training concerns the working process called Production optimization and took place in 2008. Besides getting famdiar with that particular working process, the aim is collaboration training. 

The two following educational moments were defined The first is to be familiar with the working process and have common knowledge of e.g. roles and responsibility, interaction between role strings and central activities connected to the individual role. The second was to know how to succeed with collaboration, e.g. observe the unit s daily POG meeting after the first day s focus on collaboration, reflect on the importance of one s own collaboration, and exchange of experience and point of view on practical benefits. 

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