Marianthi G. Ierapetritou

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{ Part I presented a novel continuous-time mathematical formulation for the short-term scheduling of batch processes. Most production networks however, involve batch and continuous processes. Based on the same principles, this paper extends the proposed formulation to describe continuous processes. Two industrial case studies from the Fast Moving Consumer(More)
Extracorporeal bioartificial liver devices (BAL) are perhaps among the most promising technologies for the treatment of liver failure, but significant technical challenges remain in order to develop systems with sufficient processing capacity and of manageable size. One key limitation is that during BAL operation, when the device is exposed to plasma from(More)
The paper presents a decomposition based global optimization approach to bilevel linear and quadratic programming problems. By replacing the inner problem by its corresponding KKT optimality conditions, the problem is transformed to a single yet non-convex, due to the complementarity condition, mathematical program. Based on the primal-dual global(More)
{During the last decade, the problem of production scheduling has been realized to be one of the most important problems in industrial plant operations especially when multipurpose/multiproduct batch processes are involved. This paper presents a novel mathematical formulation for the short-term scheduling of batch plants. The proposed formulation is based(More)
The current manufacturing environment for process industry has changed from a traditional single-site, single market to a more integrated global production mode where multiple sites are serving a global market. In this paper, the integrated planning and scheduling problem for the multisite, multiproduct batch plants is considered. The major challenge for(More)
Uncertainty is a very important concern in production scheduling since it can cause infeasibilities and production disturbances. Thus scheduling under uncertainty has received a lot of attention in the open literature in recent years from chemical engineering and operations research communities. The purpose of this paper is to review the main methodologies(More)
The problem addressed in this work is to develop a comprehensive mathematical programming model for the efficient scheduling of oil-refinery operations. Our approach is first to decompose the overall problem spatially into three domains: the crude-oil unloading and blending , the production unit operations and the product blending and delivery. In(More)
The problem of selecting an optimal design/plan for process models involving stochastic parameters is addressed in this paper. A classification of uncertainty is introduced &pending on its sources and mathematical model structure. A combined multiperiodlstochastic optimization formulation is then proposed along with a decomposition-based algorithmic(More)
The solution of large-scale scheduling problems involving the production of hundreds different products using a variety of process unit operations are typical for chemical and pharmaceutical companies. These problems however are translated to mathematical models involving a computationally infeasible number of variables and constraints independent of the(More)