An Industrial Case Study

The second mathematical formulation presented, is a design model based on the PIS operational philosophy. This formulation is an MINLP model due to the capital cost objective function. The model is applied to a literature example and an improved design is achieved when compared to the flowsheet. The design model is then applied to an industrial case study from the phenols production facility to determine its effectiveness. The data for the case study are subject to a secrecy agreement and as such the names and details of the case study are altered. 

The above models were applied to two illustrative examples and applied to an industrial case study. The illustrative examples are discussed below. 

The performance of the presented formulation was tested by applying it to a literature example and an industrial case study. All solutions were obtained using the GAMS/CPLEX solver in a 1.4 GHz Pentium M processor. 

A uneven discretization of time mathematical formulation for direct heat integration of multipurpose batch plants has been presented. The formulation results in smaller problems compared to the discrete-time formulation, which renders it applicable to large-scale problems. Application of the formulation to an industrial case study showed an 18.5% improvement in objective function for the heat-integrated scenario relative to the standalone scenario. 

Finally, the model needs to prove its applicability in reality and its performance in an industry case study. The model is evaluated with comprehensive industry case data and the relevance of the end-to-end value chain planning approach is evaluated. Opportunities for model extensions are outlined at the end. 

The model is evaluated based on an industry case study in order to... 

Weiss, G., Islam, K., and Romagnoli, J. A. (1996). Data reconciliation—An industrial case study. Comput. Chem. Eng. 20, 1441-1449. 

The remainder of this Chapter is organized as follows. In Section 8.2 we will discuss model formulation for petrochemical network planning under uncertainty and with uncertainty and risk consideration, referred to as robust optimization. Then we will briefly explain the concept of value of information and stochastic solution, in Section 8.3. In Section 8.4, we will illustrate the performance of the model through an industrial case study. The chapter ends with concluding remarks in Section 8.5. 

Mujtaba and Macchietto (1994) presented an industrial case study in which dynamic optimisation method of Mujtaba and Macchietto (1993) is utilised for the development of the optimal operation of an entire batch distillation campaign where 100 batches of fresh charge have to be processed with secondary reprocessing of intermediate off-cuts. The process involved a complex separation of a five-component mixture of industrial interest, described using non-ideal thermodynamic models. In addition, the operation of the whole production campaign was subject to a number of resource constraints, for example -... 

The methodology was applied to an industrial case study stemming from a pharmaceuticals mixing facility. The industrial case study involves the design of a small mixing operation that produces three different products. Each product has a fixed ratio... 

RS Patwardhan, SL Shah, G Emoto, and H Fujii. Performance analysis of model-based predictive controllers An industrial case study. In Proc. of AIChE Annual Meeting, Miami Beach, FL, 1998. 

Albert S, Kinley RD, Multivariate statistical monitoring of batch processes an industrial case study of fermentation supervision, Trends in Biotechnology, 2001, 19, 53-62. 

The chapter concluded with an industrial case study. In this case study we illustrated the following steps ... 

Engehen, H.K. and S. Skogestad, Multi effect distillation applied to an industrial case study. Chemical Engineering and Processing, 2005, 44(8) 819 826. 

Chen, J. C., Li, Y. and Shady, B. D. (2010). From value stream mapping toward a lean/sigma continuous improvement process An industrial case study. International Journal of Production Research, 48(4), 1069-1086. 

Gallucci, R, Comite, A., Capannelli, G. and Basile, A. (2006) Steam reforming of methane in a membrane reactor An industrial case study. Industrial Engineering Chemistry Research, 45 (9), 2994-3000. 

Figure 2. Example of an Articulate Presenter-based ILM incorporating an industry case study (Maier 2008b).

Eenn, J., Hawkins, R., Kelly, T.P., Williams, P. Safety Case Composition Using Contracts - Refinements Based on Feedback from an Industrial Case Study. In 15th Safety Critical Systems Symposium (2007)... 

Ulrich, A. Petrenko, A. (2007). 3rd European conference on Model driven architecture-foundations and applications (ECMDA-FA 07), Vol. 4530 of Lecture Notes in Computer Science, Springer-Verlag, chapter Reverse Engineering Models from Traces to Validate Distributed Systems - An Industrial Case Study, pp. 184-193. 

Our assurance cases are not for particular properties of the system they demonstrate that the software does not adversely affect the system in which it is embedded. We have applied our approach in an industrial case study, but use a quadratic-equation solver as an example here. 

In this paper, we propose to model safety and security interdependencies for an industrial case study using the Boolean logic Driven Markov Processes (BDMP) formalism. The approach used in this paper was first introduced in [12] where it was illustrated on a pedagogical use case. In this paper we apply it on a realistic industrial case study taking into account the system architecture. We discuss in Section 2 the convergence of security and safety issues in industrial control systems and their possible interdependencies. We give in Section 3 an overview of the BDMP formalism and the associated KB3 platform. We explain in Section 4 the benefits of BDMP on a simple example where safety and security are in contradiction. We provide in Section 5 the description of a pipeline case study architecture, the associated BDMP model and give qualitative and quantitative results obtained from it. Section 6 concludes the paper and introduces future work. 

White, D. C., Multivariable Control of a Chemical Plant Incinerator An Industrial Case Study of Co-Linearity and Non-Linearity, Proc. Internal Sympos. on Advanced Control of Industrial Processes (ADCONIP 2008), Paper MoBl.l, Jasper, Alberta, Canada (May 2008). 

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