The strategic design of multiproduct batch plants: the application and analysis of a matheuristic solution technique Floor Verbiest, Trijntje Cornelissens, Johan Springael Metaheuristics for the two twin cranes scheduling problem Eva Vallada, Avelino Ferrer, Fulgencia Villa

Oct 14, 2004 · We consider the mid-term scheduling of a multiproduct batch plant. Market requirements for the final products are uncertain but given in terms of a probability distribution. We introduce a two-stage stochastic integer programming model for the problem and solve it by a scenario decomposition method based on Lagrangian relaxation. We describe heuristics and preprocessing for both the single

This paper presents a mixed-integer linear programming formulation for the short-term scheduling of multiproduct batch plants with parallel nonidentical production units. The formulation efficiently determines the optimal order sequencing and order allocation to various processing units. This scheduling problem is highly combinatorial in nature especially because of the order sequence

A variety of combinatorial problems (e.g., in capital budgeting, scheduling, allocation) can be expressed as a linear integer programming problem. However, the standard devices for doing this often produce an inordinate number of variables and constraints, putting the problem beyond the practical reach of available integer programming methods.

Assessing the Performance of Batch Reactive Distillations Through . A CP Method for the Scheduling of Multiproduct Continuous Plants with . 1961: Novel ContinuousTime Formulations for Scheduling MultiStage MultiProduct . 1979: On the Dynamic Management of Chemical Engineering Knowledge Using .

133 A Bi-Index Continuous Time MILP Model for Short-Term Scheduling of Single-Stage Multi-Product Batch Plants with Parallel Units J. Ordieres. and . F. Ortega 139 Importance of parameter selection in classification systems using neural networks A.D. Yang, H.S. Li. and . M.L. Lu

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Sustainable scheduling of batch processes under economic and environmental criteria with MINLP models and algorithms We address the bi-criterion optimization of batch scheduling problems with economic and environmental concerns. we present two case studies on the short-term scheduling of multiproduct and multipurpose batch plants

We address the problem of short-term scheduling of parallel batch reactors followed by continuously operating finishing trains to form workgroups which is motivated by a real world problem at the Dow Chemical Co. The proposed MILP formulation is based on the recent planning model of Erdirik-Dogan and Grossmann (AIChE J. 2007, 53, 2284−2300) and features additional constraints for handling

Aug 01, 2020 · Optimal cyclic scheduling of multistage continuous multiproduct plants. An effective hybrid multi-objective genetic algorithm for bi-criteria scheduling on a single batch processing machine with non-identical job sizes. Eng Appl Artif Intell 2010; 23(6): 911

Up to10%cash back · Sep 08, 2011 · In this work, a mixed integer linear programming formulation is proposed for the planning and scheduling of given multiproduct batch plants operating with campaigns. The number and size of batches for each product, the campaign composition, the assignment of batches to units and their sequencing, and the number of times that the campaign is repeated over the time …

Bi-criteria scheduling for Multistage Multiproduct Batch Plants with Due Dates and Setups This paper presents a mixed-integer linear programming formulation for the short-term scheduling of

Oct 14, 2004 · We consider the mid-term scheduling of a multiproduct batch plant. Market requirements for the final products are uncertain but given in terms of a probability distribution. We introduce a two-stage stochastic integer programming model for the problem and solve it by a scenario decomposition method based on Lagrangian relaxation. We describe heuristics and preprocessing for both the single

Yanina Fumero & Gabriela Corsano & Jorge Montagna, 2012. "Planning and scheduling of multistage multiproduct batch plants operating under production campaigns," Annals of Operations Research, Springer, vol. 199(1), pages 249-268, October. Ioannis Fragkos & Bert De Reyck, 2016.

multiproduct batch plants. Their proposed model considers a discrete time mixed integer linear programming dynamic model, which considers the flow of material and information within the system. The proposed model also considers a general framework, which considers all the elements of the supply chain and their interactions.

(MILP) scheduling framework, based on a continuous-time representation, is developed for the scheduling in multi-stage batch plants. Advantages and special features of the proposed scheduling model are highlighted through several instances of two base case studies. Results are analyzed and further criticized towards future work.

scheduling of multiproduct batch plants. Keywords: Planning, scheduling, demand side management, mixed-integer programming, generalized disjunctive programming. 1. Introduction Enterprise-wide optimization (EWO) has become a major goal in the process industrie s due to the increasing pressures for remaining competitive in the global marketplace.

"MIP-based decomposition strategies for large-scale scheduling problems in multiproduct multistage batch plants: A benchmark scheduling problem of the pharmaceutical industry," European Journal of Operational Research, Elsevier, vol. 207(2), pages 644-655, December.

An efficient systematic iterative solution strategy for solving real-world scheduling problems in multiproduct multistage batch plants is presented and a salient feature of this approach is that the scheduler can maintain the number of decisions at a reasonable …

This problem has a strong practical background in process industry. For example, the integrated production process of steelmaking, continuous-casting, and hot rolling in the iron and steel industry, and the short-term scheduling problem of multistage multiproduct batch plants in the chemical industry can be reduced to a HFS problem.

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