fuzzy-scheduling.bib	(358 entries, Apr. 1994)
fuzzy-scheduling.ps.gz	(22 pages, 358 entries, Apr. 1994)
Please send updates to wsi@vexpert.dbai.tuwien.ac.at (Wolfgang Slany)
BibTeX file with entries about fuzzy scheduling and related topics,
such as fuzzy constraint satisfaction problems, fuzzy linear
programming, fuzzy multi criteria optimization, benchmarking of fuzzy
algorithms, fuzzy qualitative modeling, fuzzy decision making, fuzzy
petri-nets, fuzzy logic for production control and CIM, fuzzy resource
allocation, fuzzy planning and design, non-fuzzy uncertainty
management in scheduling, ...

cd-tr9233.ps cd-tr9233.ps.gz	(14 pages, Nov. 1991)
@techreport{Dorn92b,
	author = {J{\"u}rgen Dorn and Wolfgang Slany and Christian Stary},
	title = {Uncertainty Management by Relaxation of Conflicting
		 Constraints in Production Process Scheduling},
	institution = {Christian Doppler Laboratory for Expert
Systems, Technical University of Vienna},
	year = 1992,
	month = jan,
	type = {{CD-Technical Report}},
	number = {92/33},
	annote = {Mathematical-analytical methods as used in
Operations Research approaches are often insufficient for scheduling
applications.  This is due to three reasons: The uncertainty in the
production process, combinatorial complexity of the search space, and
conflicting objectives for production optimizing. Knowledge-based
techniques, especially approximate reasoning and constraint
relaxation, are promising candidates to solve these problems.
We use a case study to demonstrate how knowledge-based scheduling
with the desired capabilities could work. The applied knowledge
representation technique covers the uncertainty inherent in the
problem domain by using fuzzy set theory.  Based on this knowledge
representation, the importance of jobs is defined. This classification
of jobs supports the straightforward generation of a schedule.
We introduce a control strategy which comprises several types of
constraints, namely organizational, spatial, and chemical ones.  This
strategy supports the dynamic relaxation of conflicting constraints in
order to improve the schedule.},
	note = {An enhanced version appeared as: Wolfgang Slany,
Christian Stary and J{\"u}rgen Dorn, Vague Data Management in
Production Process Scheduling Applied to High-Grade Steelmaking,
Proceedings of the First International Conference on Artificial
Intelligence Planning Systems, Morgan Kaufmann Publishers, Inc., pages
214--221, June 1992. URL:
ftp://ftp.dbai.tuwien.ac.at/pub/papers/slany/cd-tr9233.ps.Z}, 
}

flai.txt		(5 pages, Jun. 1993 (Conference Report))
@proceedings{Klement93,
	editor = {Erich Peter Klement and Wolfgang Slany},
	title = {Fuzzy Logic in Artificial Intelligence. 
 		Proceedings of the 8th Austrian Artificial Intelligence 
		Conference, FLAI'93, Linz, Austria, June 1993},
	publisher = {Springer Verlag Berlin Heidelberg},
	year = 1993,
	volume = 695,
	series = {Lecture Notes in Artificial Intelligence},
	annote = {Conference Report URL:
ftp://ftp.dbai.tuwien.ac.at/pub/papers/slany/flai.txt}, 
}

eufit93.ps eufit93.ps.gz		(4 pages, Sep. 1993)
@inproceedings{Slany93c,
	author = {Wolfgang Slany},
	title = {Fuzzy Constraint Relaxation Techniques for
Knowledge-Based Scheduling},
	booktitle = {EUFIT'93, First European Congress on Fuzzy and
Intelligent Technologies},
	editor = {Hans-J{\"u}rgen Zimmermann}, 
	address = {Aachen, Germany},
	publisher = {Augustinus Buchhandlung},
	pages = {1124-1127},
	month = sep,
	year = 1993,
	annote = {Was presented in the session on fuzzy constraint
propagation chaired by Henri Prade. Mathematical-analytical methods as
used in Operations Research approaches are often insufficient for
real-world applications. This is due to three reasons: The imprecise
informations in the real-world applications, combinatorial complexity
of the search space, and conflicting objectives for optimizing. The
combination of several knowledge-based techniques, especially
approximate reasoning and constraint relaxation, is a promising way to
handle these problems.  The paper gives an overview on existing fuzzy
constraint relaxation techniques, focusing on the type of problems
handled, the techniques used, with examples, advantages, and then
proceed to compare these techniques with other constraint relaxation
techniques. Special emphasis will be given to the industrial
scheduling domain, as this is a very prominent real-world application
area for constraint satisfaction methods.},
	note = {URL: ftp://ftp.dbai.tuwien.ac.at/pub/papers/slany/eufit93.ps.Z}, 
}

fespmicc.ps fespmicc.ps.gz	(7 pages, Nov. 1993)
@inproceedings{Slany93d,
	author = {Wolfgang Slany},
	title = {Fuzzy Expert System to Predict Maintenance Intervals
in a Continuous Caster},
	booktitle = {Preprints of the international conference CPC-93,
Computerized Production Control in Steel Plant},
	publisher = {The Korean Institute of Metals and Materials, The
Institute of Materials, UK.}, 
	address = {Seoul, Korea},
	editor = {Duk-Hyon Baik},
	pages = {291-296},
	month = nov,
	year = 1993,
	annote = {During short-term scheduling in a steel plant, one
problem is to know beforehand how long equipment will be usable and
when it will have to be maintained.  The proposed system answers this
question for a part in a continuous caster in order to inform another
system that schedules short-term production. It uses fuzzy inference
rules to process input data and to compute the life-expectancy of the
part.  Wheras human operators tend to use pessimistic values in order
to be on the safe side, the system performs better in predicting the
life-expectancy since it considers more types of influence and reasons
with up-to-date information. For these reasons, the final schedule
matches reality closer, avoiding vasted raw materials and production
delays, while at the same time increasing product quality.  Both
systems are currently developed in a joint project between the
Aus\-tri\-an Industries Holding and the Christian Doppler Laboratory
for Expert Systems.},
	note = {URL: ftp://ftp.dbai.tuwien.ac.at/pub/papers/slany/fespmicc.ps.Z},
}

cd-tr9356.ps cd-tr9356.ps.gz	(26 pages, October 1993)
@techreport{Dorn93c,
	author = {J{\"u}rgen Dorn and Wolfgang Slany},
	title = {A Flow Shop with Compatibility Constraints in a
Steelmaking Plant},
	institution = {Christian Doppler Laboratory for Expert
Systems, Technical University of Vienna},
	year = 1993,
	type = {CD-Technical Report},
	number = {93/56},
	note = {An enhanced version appeared as: J{\"u}rgen Dorn and
Wolfgang Slany, A Flow Shop with Compatibility Constraints in a
Steelmaking Plant, In: Intelligent Scheduling, Mark Fox and Monte
Zweben (editors), Chapter 22, pages 629--654, Morgan Kaufmann, 1994.
URL: ftp://ftp.dbai.tuwien.ac.at/pub/papers/slany/cd-tr9356.ps}, 
}

cd-tr9461.ps.Zgz		(18 pages, April 1994)
@techreport{Dorn94a,
	author = {J{\"u}rgen Dorn and Mario Girsch and G{\"u}nther
Skele and Wolfgang Slany},
	title = {Comparison of Iterative Improvement Techniques for
Schedule Optimization},
	institution = {Christian Doppler Laboratory for Expert
Systems, Technical University of Vienna},
	year = 1994,
	type = {CD-Technical Report},
	number = {94/61},
	note = {URL: ftp://ftp.dbai.tuwien.ac.at/pub/papers/slany/cd-tr9461.ps}, 
}

cd-tr9462.ps cd-tr9462.ps.gz	(25 pages, April 1994)
@techreport{Slany94a,
	author = {Wolfgang Slany},
	title = {Scheduling as a Fuzzy Multiple Criteria Optimization Problem},
	institution = {Christian Doppler Laboratory for Expert
Systems, Technical University of Vienna},
	year = 1994,
	type = {CD-TR},
	number = {94/62},
	annote = {Real-world scheduling is decision making under vague
constraints of different importance, often using uncertain data, where
compromises between antagonistic criteria are allowed. We explain in
theory and by detailed examples a new combination of fuzzy set based
constraints and repair based heuristics that help to model these
scheduling problems.  We simplify the mathematics needed for a method
of eliciting the criteria's importances from human experts. We
introduce a new consistency test for configuration changes. This test
also helps to evaluate the sensitivity to configuration changes. We
describe the implementation of these concepts in our fuzzy constraint
library ConFLIP++ and in our heuristic repair library D{\'e}j{\`a}Vu.
Finally, we present results from scheduling a continuous caster unit
in a steel plant.},
	note = {An enhanced version appeared in Fuzzy Sets and
Systems, 78 (1996). URL: ftp://ftp.dbai.tuwien.ac.at/pub/papers/slany/cd-tr9462.ps.Z},
}

cd-tr9466.ps cd-tr9466.ps.gz thesis.ps thesis.ps.gz	(168 pages, June 1994)
@techreport{Slany94c,
	author = {Wolfgang Slany},
	title = {Fuzzy Scheduling},
	institution = {Christian Doppler Laboratory for Expert
Systems, Technical University of Vienna},
	year = 1994,
	type = {CD-Technical Report},
	number = {94/66},
	annote = {Real-world scheduling is decision making under vague
constraints of different importance, often using uncertain
data, where compromises between antagonistic criteria are allowed. The
author explains in theory and by detailed examples a new combination of
fuzzy set based constraints and iterative improvement repair based
heuristics that help to model these scheduling problems.  He simplifies
the mathematics needed for a method of eliciting the criteria's
importances from human experts. He introduces a new consistency test
for configuration changes. This test also helps to evaluate the
sensitivity to configuration changes. He describes the implementation
of these concepts in his fuzzy logic inference processor library
FLIP++, in his fuzzy constraint library ConFLIP++, in his dynamic
constraint generation library DynaFLIP++, and in his heuristic repair
library D{\'e}j{\`a}Vu. All these libraries are implemented in a
layered framework enhanced by his common user interface InterFLIP++.
The benchmark application to compare his fuzzy constraint iterative
improvement repair heuristic with constructive methods based on classic
constraints is a scheduling system for a continuous caster unit in a
steel plant. In addition, an earlier fuzzy scheduling system that was
applied to another steel plant, as well as a fuzzy expert system that
predicts maintenance intervals for the continuous caster unit are
described. This thesis also discusses research issues and challenges as
well as previous work done in the field of fuzzy scheduling and related
areas, and provides an exhaustive and partly annotated bibliography
concerning its subject.},
	note = {URL: ftp://ftp.dbai.tuwien.ac.at/pub/papers/slany/cd-tr9466.ps.Z}, 
}

cd-tr9467.ps cd-tr9467.ps.gz	(19 pages, June 1994)
techreport{Slany94e,
	key = {Klement94},
	author = {Erich Peter Klement and Wolfgang Slany},
	title = {Fuzzy Logic in Artificial Intelligence},
	institution = {Christian Doppler Laboratory for Expert
Systems, Technical University of Vienna},
	year = 1994,
	type = {CD-Technical Report},
	number = {94/67},
	annote = {After a basic introduction of fuzzy logic, we discuss its
role in artificial and computational intelligence. Then we present
innovative applications of fuzzy logic, focusing on fuzzy expert
systems, with one typical example explored in some detail. The article
concludes with suggestions how artificial intelligence and fuzzy logic
can benefit from each other.},
	note = {URL: ftp://ftp.dbai.tuwien.ac.at/pub/papers/slany/cd-tr9467.ps.Z}, 
}

cd-tr9468.ps cd-tr9468.ps.gz	(17 pages, December 1994)
@techreport{Kerr94b,
	author = {Roger M. Kerr and Wolfgang Slany},
	title = {Research Issues and Challenges in Fuzzy Scheduling},
	institution = {Christian Doppler Laboratory for Expert
Systems, Technical University of Vienna},
	year = 1994,
	type = {CD-Technical Report},
	number = {94/68},
	note = {URL: ftp://ftp.dbai.tuwien.ac.at/pub/papers/slany/cd-tr9468.ps.Z}, 
        annote = {Scheduling is an activity fraught with fuzziness.
The prevalence of Murphy's Law in real life situations, noise infected
measurements, vague objectives of different importance, where
compromises between antagonistic optimization criteria are generally
allowed, and the difficulty of estimating process times all contribute
to make the construction of predictive schedules a complex task.  Both
authors have gained in-depth practical experience in the field of
fuzzy scheduling. Application domains of implemented systems ranged
from production scheduling of mechanical and hydraulic
presses~\cite{Kerr91,Kerr89} to fine-grained scheduling of high-grade
steel production~\cite{Slany94d}. In addition to fundamental and
advanced theoretic research on fuzzy scheduling, Slany's
Ph.D.~thesis~\cite{Slany94d} also contains an annotated bibliography
with more than 400 references on fuzzy scheduling. The present paper
takes a step back from actual implementations to introduce the main
aspects of fuzzy scheduling to a broader audience, to compare pros and
cons of various approaches, and to discuss some hot research topics of
the field.}, 
}

ijcai95wsflai1.ps ijcai95wsflai1.ps.gz	(10 pages, February 1995)
@inproceedings{Bonner95,
	author = {Markus Bonner and Stefan Mayer and Andreas Raggl and
		 Wolfgang Slany},
	title = {{FLIP++}: A fuzzy logic inference processor library},
	booktitle = {Workshop Notes of the IJCAI'95 Workshop on Fuzzy
		  Logic in Artificial Intelligence},
	year = 1995,
	address = {Montreal, Canada},
	month = aug,
	pages = {83-92},
        note = {URL: ftp://ftp.dbai.tuwien.ac.at/pub/papers/slany/ijcai95wsflai1.ps.gz},
}

dbai-tr-98-23.ps dbai-tr-98-23.ps.gz (33 pages, December 1998)
@article{Slany98a,
	key = {Raggl98},
	author = {Andreas Raggl and Wolfgang Slany},
	title = {A reusable iterative optimization
		  library to solve combinatorial problems with 
		  approximate reasoning}, 
	journal = {International Journal of Approximate Reasoning},
	volume = 19,
	number = {1-2},
	month = {July/August},
	pages = {161-191},
	year = 1998,
	note = {http://www.dbai.tuwien.ac.at/ftp/papers/slany/dbai-tr-98-23.ps.gz},
}

dbai-tr-99-34.ps.gz (47 pages, November 1999)
@techreport{Slany99a,
        author = {Wolfgang Slany},
        title = {Graph {R}amsey games},
        institution = {Institut f{\"u}r Informationssysteme der
Technischen Universit\"at Wien},
        number = {DBAI-TR-99-34},
        year = 1999,
        note = {http://www.dbai.tuwien.ac.at/ftp/papers/slany/\linebreak[0]dbai-tr-99-34.ps.gz},
}