Classification of literature on integrated SC configuration and management planning in chemical industry

Tsble 4.1 Classification of literature on integrated SC configuration and management planning in chemical industry 

Pure simulation approaches are proposed by Pitty et al. (2008) and Adhitya and Srini-vasan (2010). Pitty et al. (2008) propose a discrete-event simulation model for a refinery supply chain. Operational decisions such as unloading schedules and production planning are made based on simple priority rules. Various configurations of the modelled SC are studied and compared to reveal optimization potentials. This approach explicitly considers some details of ship and pipeline transports. Adhitya and Srinivasan (2010) describe a discrete-event simulation model for an SC producing and distributing lubricant additives. Here, batch production is modelled. Again, operational production decisions are made by priority rules and a scenario analysis is conducted to evaluate the effects of other priority 

For tactical production planning roughly assigning production quantities to production sites suffices for deriving reliable mid-term plans. On the operational level, however, a more detailed view on the involved production processes is needed. In particular, the planning of batch processes is a challenging task as it involves 

Planning of continuous processes faces a similar problem structure except that the batch size is not limited by technological restrictions. Beside production planning, the planning of logistical activities needs to be involved. Since (operational) production planning typically focuses on one production site, intra-site transports (which are typically based on the pipeline mode) need to be considered but also inter-site transports or customer deliveries are of importance in daily business in some cases. 

Batch production is considered by the first seven approaches shown in Table 4.2. Timpe and Kallrath (2000) propose a time-discrete MILP for the IPPSP with multiple production sites/plants, multiple production modes, intermediate storages, sales points, and transports between sites, storages, and sales points. The model uses different time scales for production and sales planning which allows a more precise planning of production. In a production period, a site can produce in different modes whereby changeover times and costs are considered. To store intermediate and raw materials, one-product and multiproduct tanks are available and an assignment of products to tanks is implemented. The 

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