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Multi-Level Capacitated Lotsizing with Setup Carryover

Lotsizing problems are found in every company, which produces various items on resources with scarce capacities. In general, the objective is to find production plans, which meet demand with the resources` given capacities and at minimal costs. However, there is a great variety of company-specific l...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Buschkühl, Lisbeth (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Gabler, 2008.
Edición:1st ed. 2008.
Colección:Edition KWV,
Temas:
Acceso en línea:Texto Completo

MARC

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100 1 |a Buschkühl, Lisbeth.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Multi-Level Capacitated Lotsizing with Setup Carryover  |h [electronic resource] /  |c by Lisbeth Buschkühl. 
250 |a 1st ed. 2008. 
264 1 |a Wiesbaden :  |b Springer Fachmedien Wiesbaden :  |b Imprint: Springer Gabler,  |c 2008. 
300 |a XXVII, 219 p. 1 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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505 0 |a A Introduction and Outline -- B Literature Review -- C Test Instances -- D Model Formulations -- E Solution Procedure based on Lagrangean Relaxation -- F Computational Study -- G Conclusions and Future Work -- Bibliography. 
520 |a Lotsizing problems are found in every company, which produces various items on resources with scarce capacities. In general, the objective is to find production plans, which meet demand with the resources` given capacities and at minimal costs. However, there is a great variety of company-specific lotsizing problems due to the complexity of the underlying production processes. Both standard MRP-systems and modern Advanced Planning Systems fail to provide adequate solutions. Instead, they most often compute production plans, which are not feasible in practice. In this book new lotsizing models are presented for multi-stage production systems with general product structures, dynamic demand, setup times and lead times. They are extended to cover production on parallel machines. An iterative solution procedure is presented, which generates feasible production plans within seconds of computation time. Potential readership includes scholars of supply chain management and production planning, interested students in these areas as well as practitioners involved in production planning. 
650 0 |a Business logistics. 
650 0 |a Production management. 
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950 |a Business and Economics (SpringerNature-11643) 
950 |a Economics and Finance (R0) (SpringerNature-43720)