Titlebook: Solving Large-Scale Production Scheduling and Planning in the Process Industries; Georgios M. Kopanos,Luis Puigjaner Book 2019 Springer Na

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Book 2019n content is supplemented by a wealth of illustrations, while case studies on large-scale industrial applications, ranging from continuous to semicontinuous and batch processes, round out the coverage..The book examines a variety of complex, real-world problems, and demonstrates solutions that are a

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Methods and Toolsial case studies considered. First, some general principles of mathematical programming are discussed. Afterwards, some theoretical concepts and solution techniques for linear and mixed integer programming problems are briefly presented. Finally, a short description of the commercial tools utilized to solve the problems under study is given.

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Resource-Constrained Production Planning and Scheduling in Multistage Semicontinuous Process Industre), where labor (i.e., the number of available workers) constitutes the limited resource constraint. The proposed mathematical approach can also cope with unexpected events such as workers absence, and products orders modifications.

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State of the Arturrently exploited, the challenging uncertainty sources and handling frontier methods currently used, which finally allow identifying trends and challenges posed today by the process industry in general, and food industry in particular. Examples of real industrial applications encountered, operating

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Production Scheduling in Multistage Semicontinuous Process Industriesnteger programming framework and a solution strategy are presented for the optimal production scheduling of multiproduct multistage semicontinuous process industries. An ice-cream production facility (UNILEVER, the Netherlands) is studied in detail. The overall mathematical framework relies on an ef

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Simultaneous Optimization of Production and Logistics Operations in Semicontinuous Process Industries process industries. A new mixed discrete/continuous-time mixed integer programming model for the problem under consideration has been developed. A remarkable feature of the proposed approach is that in the production planning problem timing and sequencing decisions are taken for product families r