Demand support control-model

Thorough colloidal/surface characterisation is fundamental to the success of research on polymer colloids. A wide range of complementary techniques are available for colloidal/surface characterisation of polymer colloids and access to several is necessary since no single technique can provide full characterisation. There is an ongoing need for experimental and theoretical work on improvements to existing methods and on development of new techniques to support the needs of research. Additionally, the necessary improvements in process modelling will naturally lead to a demand for advances in on-line analysis to support feedback loops for process control and manufacturing. Thus, further developments in on-line methods for measurement of particle... 

Turner, N., Stride, C. B., Carter, A. J., McCaughey, D., Carroll, A. E. (2012). Job demands-control-support model and employee safety performance. Accident Analysis and Prevention, 45, 811-817. 

Another important aspect of this is decision latitude and the demand-control-support model of job-strain. At the same time the 2008/09 financial crisis hit and the demands on efficiency were augmented, increasing the demands. This aspect seems to have hit the researchers as well as the decision latitude with respect to facilitating the process was smaller. 

For manufacturers, RFID is able to support quality control by querying components and subassemblies as they enter the facility. For example, it can ensure that the correct components are included in an assembled item by automatically checking that all items from the Bill of Material are in place. Moreover, if used with appropriate modeling tools, it can help to predict the demand and supply for the products, which in turn determines the manufacturing plan, which is an essential input for the modem ERP and MRP systems. 

The demand-control-support model (DCS van der Doef and Maes 1999). This proposes that job strain - the personal experience of job stress -results from a combination of demands placed on the person by the job, the resources available to the person to manage these demands and the support provided by colleagues and supervisors ... 

Hence, the aforementioned enterprise-wide model is extended to a stochastic program that takes exogenous uncertainty into account, namely, demand, price and interest rates variability. To tackle the resulting problem, scenario-based multi-stage stochastic mixed integer modeling techniques are applied. Then, the stochastic model is introduced into a model predictive controller to capture the dynamics of SC processes and their environment. The ensuing model can be used as a support tool... 

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