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Solving Large-Scale Production Scheduling and Planning in the Process Industries [Hardcover]

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  • Category: Books (Technology & Engineering)
  • Author:  Kopanos, Georgios M., Puigjaner, Luis
  • Author:  Kopanos, Georgios M., Puigjaner, Luis
  • ISBN-10:  3030011828
  • ISBN-10:  3030011828
  • ISBN-13:  9783030011826
  • ISBN-13:  9783030011826
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Apr-2018
  • Pub Date:  01-Apr-2018
  • SKU:  3030011828-11-SPRI
  • SKU:  3030011828-11-SPRI
  • Pages:  291
  • Pages:  291
  • Item ID: 105297803
  • List Price: $109.99
  • Seller: ShopSpell
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  • Delivery by: Oct 01 to Oct 03
  • Notes: Brand New Book. Order Now.
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 Cervecer?a     Cuauht?moc 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 decisl*