Case studies using real production data

4 Case studies using real production data 

Two sets of real production data, denoted as cases A and B, are used to demonstrate the proposed method. All the data listed in Table 7.1 were obtained from the 

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12 Case A. (a) Production schedule adopted by industrial practice, (b) Genetically optimized production schedule. 

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Data to demonstrate the stability characteristics of both the drug substance and the drug product must be collected. Studies using three different batches of both substance and product in their respective containers/packaging must be conducted. Real-time data should be collected under conditions of temperature and relative humidity in line with the recommended storage. Conditions in different world climatic zones must be taken into consideration for cases where normal environmental... 

Across the Web, consumers today post ratings and review data about products. This near real-time data is a great opportunity for a company to understand customer sentiment and share the information with retail customers. In the case of Newell Rubbermaid, it enabled its team to leverage immediate feedback from consumers to identify an issue and quickly respond to ensure that the launch was a success. Prior to the use of this type of data, brands faced a 7- to 14-day latency to receive and understand consumer data. In the next case study, we share how Newell Rubbermaid, a leader in the use of... 

In this chapter, a brief description of the main bio-SNG facilities and projects in Europe is presented as well as the main process units (gasification, gas cleaning and methana-tion) integrated for bio-SNG production. Therefore, a case study for bio-SNG production is modeled by using the CHEMCAD 6.3.1.4168 software. Two process technologies, a fixed (adiabatic case) or fluidized (isothermal) bed methanation reactors are considered, while three different product gas compositions from real biomass gasification data are fed as input syngas for the modeled system. Einally, CH4 yield and chemical efficiency of the different cases are compared and discussed. 

Real data from the case study described in Section 5.1 was used to list the applicability of the integrated supply chain model (Additional material is available from the CRC Press website http //www.crcpress.com/product/ isbn/9781498708586). The case study considered 24 periods, and each period was one month. The demand data used for this model were approximate... 

EVS were put to work on real systems on several occasions in the oil and gas industries for two main reasons. The 1st reason was the critical nature of many operations associated with the transport of gas and other petroleum products, and the 2nd is the predictability of localized corrosion of steel, the main material used by the oil and gas industry. Meany has, for example, reported four detailed cases where extreme value distribution proved to be an adequate representation of corrosion problems in underground piping and power plemt condenser tubing [15]. In another study, data from water injection pipeline systems and from the published literature were used to simulate the sample functions of pit growth on metal surfaces [Id]. It was concluded that maximum pit depths were adequately characterized by extreme value distribution, that a Gaussian distribution could model corrosion rates for water injection systems, and that an exponential pipeline leak growth model was appropriate for all operation regimes. 

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