Decision support in hierarchical planning systems: The case of procurement planning in oil refining industries

2014 ◽  
Vol 68 ◽  
pp. 49-63 ◽  
Author(s):  
Kasper Bislev Kallestrup ◽  
Lasse Hadberg Lynge ◽  
Renzo Akkerman ◽  
Thordis Anna Oddsdottir
Keyword(s):  
Decision Support ◽  
Oil Refining ◽  
Hierarchical Planning ◽  
Planning Systems ◽  
Procurement Planning

scholarly journals HDDL: An Extension to PDDL for Expressing Hierarchical Planning Problems

2020 ◽  
Vol 34 (06) ◽  
pp. 9883-9891 ◽  
Author(s):  
Daniel Höller ◽  
Gregor Behnke ◽  
Pascal Bercher ◽  
Susanne Biundo ◽  
Humbert Fiorino ◽  
...  
Keyword(s):  
Planning System ◽  
Hierarchical Planning ◽  
Planning Systems ◽  
Description Language ◽  
Input Language ◽  
Common Input ◽  
Modeling Process ◽  
Planning Problems ◽  
Domain Independent ◽  
Tailored Advice

The research in hierarchical planning has made considerable progress in the last few years. Many recent systems do not rely on hand-tailored advice anymore to find solutions, but are supposed to be domain-independent systems that come with sophisticated solving techniques. In principle, this development would make the comparison between systems easier (because the domains are not tailored to a single system anymore) and – much more important – also the integration into other systems, because the modeling process is less tedious (due to the lack of advice) and there is no (or less) commitment to a certain planning system the model is created for. However, these advantages are destroyed by the lack of a common input language and feature set supported by the different systems. In this paper, we propose an extension to PDDL, the description language used in non-hierarchical planning, to the needs of hierarchical planning systems.

scholarly journals A framework for the probabilistic analysis of hierarchical planning systems

1984 ◽  
Vol 1 (1) ◽  
pp. 23-42 ◽  
Author(s):  
J. K. Lenstra ◽  
A. H. G. Rinnooy Kan ◽  
L. Stougie
Keyword(s):  
Probabilistic Analysis ◽  
Hierarchical Planning ◽  
Planning Systems

An empirical study on reducing planning instability in hierarchical planning systems

2010 ◽  
Vol 21 (4) ◽  
pp. 413-426 ◽  
Author(s):  
Philip G. Moscoso ◽  
Jan C. Fransoo ◽  
Dieter Fischer
Keyword(s):  
Empirical Study ◽  
Hierarchical Planning ◽  
Planning Systems

Airborne laser scanning-based decision support for wood procurement planning

2013 ◽  
Vol 29 (sup1) ◽  
pp. 132-143 ◽  
Author(s):  
Jari Vauhkonen ◽  
Petteri Packalen ◽  
Jukka Malinen ◽  
Juho Pitkänen ◽  
Matti Maltamo
Keyword(s):  
Decision Support ◽  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Airborne Laser ◽  
Wood Procurement ◽  
Procurement Planning

Procurement planning in oil refining industries considering blending operations

2013 ◽  
Vol 58 ◽  
pp. 1-13 ◽  
Author(s):  
Thordis Anna Oddsdottir ◽  
Martin Grunow ◽  
Renzo Akkerman
Keyword(s):  
Oil Refining ◽  
Procurement Planning

Hierarchical planning systems — a production application

1979 ◽  
pp. 63-93 ◽  
Author(s):  
Arnoldo C. Hax ◽  
Gabriel R. Bitran
Keyword(s):  
Hierarchical Planning ◽  
Planning Systems

The effect of updating lead times on the performance of hierarchical planning systems

2006 ◽  
Vol 104 (2) ◽  
pp. 427-440 ◽  
Author(s):  
B. Selçuk ◽  
J.C. Fransoo ◽  
A.G. De Kok
Keyword(s):  
Lead Times ◽  
Hierarchical Planning ◽  
Planning Systems
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