[APDIO] CANCELAMENTO - [Fwd: Palestra INESC Porto, 3ª feira - 11 Maio, Simultaneous lotsizing and scheduling]

[aviana <aviana@inescporto.pt>]

Bom dia,

Devido às restrições na circulação aérea provocadas pela "nuvem de 
cinzas" o Prof. Herbert Meyr não pode voar para o Porto.
Por esse motivo, a palestra de amanhã no INESC Porto fica cancelada, 
tendo lugar em data a anunciar.

Cumprimentos,

Ana Viana
INESC Porto - UESP

-------- Original Message --------
Subject: 	Palestra INESC Porto, 3ª feira - 11 Maio, Simultaneous 
lotsizing and scheduling
Date: 	Wed, 05 May 2010 12:28:27 +0100
From: 	aviana <aviana@inescporto.pt>
To: 	apdio@ci.uc.pt



Boa tarde,

Na próxima 3ª feira, 11 de Maio, terá lugar no Auditório do INESC Porto uma palestra intitulada "Simultaneous lotsizing and scheduling", a realizar pelo Prof. Herbert Meyr da Technical University of /Darmstadt. Todos os interessados estão convidados a participar.


Cumprimentos,

Ana Viana
INESC Porto-UESP
/



Title: 	Simultaneous lotsizing and scheduling
Author: Prof. Herbert Meyr, Technical University of /Darmstadt/
Date: 	Tuesday, May 11th 2010, 13h00 (INESC Porto anfiteatro)
Abstract: 	 
	Simultaneous lotsizing and scheduling (SLS) is necessary in
      situations where deterministic dynamic demand of several
      products has to be met on one or several parallel, capacitated
      productions lines, underlying sequence-dependent setup costs
      or setup times. Such prerequisites are, for example, often
      predominant in consumer goods industries with make-to-stock
      production.

      The talk gives a brief overview of mixed-integer-programming
      models for SLS, but mainly concentrates on the General
      Lotsizing and Scheduling Problem for Parallel production Lines
      (GLSPPL). After explaining the "traditional" heuristic
      approach of combining local search with dual reoptimization
      some recent extensions and enhancements are discussed which
      were necessary to tackle a real world case in health care
      production. It is shown how dual reoptimization can be adapted
      to respect time-varying production coefficients. Furthermore,
      a decomposition approach to solve larger-scale problems is
      sketched.

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