The problem of scheduling multiple, large scale, make-to-order assemblies is considered. Beside "classical" precedence- and resource constraints as known from resource constrained project scheduling we take spatial resource and part availability constraints into account. The objective is to...

We consider the problem of scheduling multiple, large-scale, make-to-order assemblies under resource, assembly area, and part availability constraints. Such problems typically occur in the assembly of high volume, discrete make-to-order products. Based on a list scheduling procedure which has...

The car sequencing problem is to find feasible sequences of product variants requiring specific options while taking care of sequencing constraints. First, a branching scheme and constraint propagation algorithms for the computation of feasible sequences are provided. Second, an algorithm is...

The Capacitated Facility Location Problem (CFLP) is a well-known combinatorial optimization problem with applications in distribution and production planning. A variety of lower bounds based on Lagrangean relaxation and subgradient optimization has been proposed for this problem. However, in...

Nicht in erster Linie der Stoff macht das Wesen eines Faches aus, sondern das in ihm gepflegte Denken. ... Die Pflege des betriebswirtschaftlichen Denkens ist nach meiner Meinung neben der Forschungsarbeit die wesentliche Aufgabe der akademischen Betriebswirtschaftslehre. Nach unserer Meinung...

Im Bereich der Entwicklung elektronischer Leitstände werden derzeit große Anstrengungen unternommen, die Produktionsplanung und -steuerung wissensbasiert zu unterstützen. Von besonderem Interesse sind dabei Konzepte und Implementierungen wissensbasierter Leitstände zur Losgrößen-, Termin-...

A batch sequencing model with sequence-dependent setup-times and -costs is used to compare modelling and solving with two different general solvers. "Conceptual models" are implemented in the constraint propagation / logic programming language CHARME and solved with the PROLOG inference engine....

Lotsizing and scheduling comprises activities which have to be done repeatedly within MRP-systems. We consider the proportional (multi-item, capacitated, dynamic) lotsizing and scheduling problem which is more general than the discrete lotsizing and scheduling problem as well as the continuous...

Two phases can be distinguished in academic course scheduling: In phase one lectures have to be assigned to professors, whereas in phase two the lectures have to be scheduled. Here we assume that the lectures are already assigned to professors, i.e. the first phase has been done. For the second...

The discrete lotsizing and scheduling problem with setup-times is transformed into a single-machine scheduling problem, denoted as batch sequencing problem, which integrates sequence-dependent setups as well. The relationship between the lotsizing and the batch sequencing problem is analyzed....