New Alternatives in the Design and Planning of Multiproduct Batch Plants in a Multiperiod Scenario

Abstract

New alternatives for the simultaneous design and planning of multiproduct batch plants in a multiperiod scenario are presented in this article. This formulation allows the flexible configuration of the plant in every time period for each product considering the assignment of parallel units of different sizes operating either in-phase or out-of-phase. Capacity expansion during the time horizon is also allowed in order to satisfy new variable requirements. For each batch stage, following the usual procurement policy, units are selected from a set of standard and discrete sizes that are available to perform each operation. The model is formulated through a mixed-integer linear programming (MILP) formulation that maximizes the net present value of profit. From the planning point of view, product sales, raw materials purchases, inventories, waste disposal, and late deliveries are taken into account. Thus, this model simultaneously solves both design and production planning for given forecasts of product demands and pricing in each time period.

A scenario-based robust framework for short-term and long-term operation planning problems

“…At the same time, some works have been proposed using other types of computational methodologies such as Till et al [18], Majozi and Zhu [19], Ghaeli et al [20]. There are also a significant number of studies that address the scheduling problem with other process operation problems like planning such as Moreno et al [21], Moreno and Montagna [22]. Dogan and…”

Design of a chemical batch plant with parallel production lines: Plant configuration and cost effectiveness

“…raw material, disposal (e.g. Moreno and Montagna, 2007;Corsano et al, 2007) and maintenance costs (Pistikopoulos et al, 1996;Goel et al, 2003).…”

Multiperiod design and planning of multiproduct batch plants with mixed‐product campaigns

“…Multiperiod optimization models for design and planning in the chemical industry have received considerable attention in the last years 1–15. Often, taking into account the model complexity, these problems have been solved through decomposition approaches.…”

“…Moreno et al12–14 presented several works, where design and planning decisions are simultaneously taken into account. All these works use a very simple formulation considering the posynomial approach with fixed time and size factors for process design and SPCs.…”

“…All these works use a very simple formulation considering the posynomial approach with fixed time and size factors for process design and SPCs. A multiperiod scenario is taken into account with different structural options for the plan design,12, 13 where, in the more sophisticated approach, the configuration of the plant can be adjusted in each period. In the last work,14 a new structural option is introduced using the duplication in series for each operation.…”