Single-site production planning

In this section, we present two examples with different scenarios. The first example illustrates the performance of the model on a single site total refinery planning problem where we compare the results of the model to an industrial scale study from Favennec et al. (2001). This example serves to validate our model and to make any necessary adjustments. The second example extends the scale of the model application to cover three complex refineries in which we demonstrate the different aspects of the model. The refineries considered are of large industrial-scale refineries and actually mimic a general set-up of many areas around the world. The decisions in this example include the selection of crude blend combination, design of process integration network between the three refineries, and decisions on production units expansion options and operating levels. 

Example 6 (Rail operations planning). Consider a chemical production network consisting of three sites where three commonly produced/consumed chemicals are planned for If periods. A period equals 12 hours. At the beginning of each day, a single train can be dispatched from every site. Each site is connected with any other site via a rail link, i.e. C = (f,i) i,j A i + j. Table 3.15a shows the travelling times tff for all rail links (i,j) 6 . 

The many activities to be conducted on the performance Y, such as order logging, order clarification, design, work preparation, allocation, selection of suppliers, procurement, incoming merchandise, quality assurance, preparation of all production documents and inventory, planning and readiness of capacity, production, storage, assembly, start-up operation, acceptance, shipping, transport to the customer, and in the case of single item producers, also the set up, start-up operation and acceptance on site are to be understood as the performance processes to be accelerated, i.e. the intra-corporate supply chain. Each of these activities are to be implemented and coordinated so as to ensure that a maximum overall company result is achieved. 

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