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Solving Large-Scale Production Scheduling and Planning in the Process Industries [electronic resource] / by Georgios M. Kopanos, Luis Puigjaner.

By: Kopanos, Georgios M [author.].
Contributor(s): Puigjaner, Luis [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: XXIV, 291 p. 109 illus., 78 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030011833.Subject(s): Industrial Management | Production management | Operations research | Management science | Manufactures | Chemistry, Technical | Industrial Management | Production | Operations Research, Management Science | Machines, Tools, Processes | Industrial ChemistryAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 658.5 Online resources: Click here to access online
Contents:
Part I: Overview -- Introduction -- State of the Art -- Methods and Tools -- Part II: Continuous Processes -- Production Planning and Scheduling of Parallel Continuous Processes -- Part III: Semicontinuous Processes -- Production Scheduling in Multistage Semicontinuous Process Industries -- Resource-Constrained Production Planning and Scheduling in Semicontinuous Process Industries -- Simultaneous Optimization of Production & Logistics Operations in Semicontinuous Process Industries -- Part IV: Batch Processes -- Production Scheduling in Large-Scale Multistage Batch Process Industries. Part V: Integrated-System Approach -- Integrated Operational and Maintenance Planning of Production and Utility Systems -- Part VI: Conclusions and Outlook -- Appendixes.
In: Springer Nature eBookSummary: This book presents a number of efficient techniques for solving large-scale production scheduling and planning problems in process industries. The main 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 applicable to scenarios and countries around the world. Specifically, these case studies include: • the production planning of the bottling stage of a major brewery at the Cervecería Cuauhtémoc Moctezuma (Heineken Int) in Mexico; • the production scheduling for multi-stage semicontinuous processes at an ice-cream production facility of Unilever in the Netherlands; • the resource-constrained production planning for the yogurt production line at the KRI KRI dairy production facility in Greece; and • the production scheduling for large-scale, multi-stage batch processes at a pharmaceutical batch plant in Germany. In addition, the book includes industrial-inspired case studies of: • the simultaneous planning of production and logistics operations considering multi-site facilities for semicontinuous processes; and • the integrated planning of production and utility systems in process industries under uncertainty. Solving Large-scale Production Scheduling and Planning in the Process Industries offers a valuable reference guide for researchers and decision-makers alike, as it shows readers how to evaluate and improve existing installations, and how to design new ones. It is also well suited as a textbook for advanced courses on production scheduling and planning in industry, as it addresses the optimization of production and logistics operations in real-world process industries.
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Part I: Overview -- Introduction -- State of the Art -- Methods and Tools -- Part II: Continuous Processes -- Production Planning and Scheduling of Parallel Continuous Processes -- Part III: Semicontinuous Processes -- Production Scheduling in Multistage Semicontinuous Process Industries -- Resource-Constrained Production Planning and Scheduling in Semicontinuous Process Industries -- Simultaneous Optimization of Production & Logistics Operations in Semicontinuous Process Industries -- Part IV: Batch Processes -- Production Scheduling in Large-Scale Multistage Batch Process Industries. Part V: Integrated-System Approach -- Integrated Operational and Maintenance Planning of Production and Utility Systems -- Part VI: Conclusions and Outlook -- Appendixes.

This book presents a number of efficient techniques for solving large-scale production scheduling and planning problems in process industries. The main 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 applicable to scenarios and countries around the world. Specifically, these case studies include: • the production planning of the bottling stage of a major brewery at the Cervecería Cuauhtémoc Moctezuma (Heineken Int) in Mexico; • the production scheduling for multi-stage semicontinuous processes at an ice-cream production facility of Unilever in the Netherlands; • the resource-constrained production planning for the yogurt production line at the KRI KRI dairy production facility in Greece; and • the production scheduling for large-scale, multi-stage batch processes at a pharmaceutical batch plant in Germany. In addition, the book includes industrial-inspired case studies of: • the simultaneous planning of production and logistics operations considering multi-site facilities for semicontinuous processes; and • the integrated planning of production and utility systems in process industries under uncertainty. Solving Large-scale Production Scheduling and Planning in the Process Industries offers a valuable reference guide for researchers and decision-makers alike, as it shows readers how to evaluate and improve existing installations, and how to design new ones. It is also well suited as a textbook for advanced courses on production scheduling and planning in industry, as it addresses the optimization of production and logistics operations in real-world process industries.

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