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~person:"Kusiak, Andrew"
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Industrial Engineering
4
Sustainability
4
A method is proposed for decomposing the decision making process based on risk factors in product development (e.g
1
Models and algorithms for effective decision-making in a data-driven environment are discussed. To enhance the quality of the extracted knowledge and decision-making
1
The IDEF methodology has been extensively used for modeling various processes. Qualitative and quantitative reliability analysis and risk assessment of IDEF models is of interest to industry for several reasons. It identifies critical activities in a process
1
The reduction of setup time has a significant impact on shortening manufacturing cycle time. In this paper
1
a subset of rules is selected from the extracted knowledge to meet the established decision-making criteria. The parameter values represented by the conditions of this set of rules are called a decision signature. A model and algorithms for the selection of the desired parameters (decision signatures) will be developed. The parameters of this model are updated using a framework provided by the learning classifier systems
1
and (2) extends the usefulness of IDEF3 models by integrating IDEF3 semantics
1
and a formal analysis procedure
1
and decreases downtime and operating cost of the process. To evaluate the risk associated with an IDEF3 model formal tools and techniques are required. In this paper
1
and make a trade-off between the time and cost of setup activities with limited machining resources and budget. Factorial analysis is used to provide insights into the minimization of internal setup time
1
and models for sequencing setup activities are discussed. Sequencing setup activities can be modeled as a project scheduling problem. Two basic linear programming models for scheduling setup activities are presented. The models minimize the setup time (in particular
1
and the parameters optimizing process performance are recommended. The applications discussed in this paper differ from most data mining tasks
1
characteristics of setup activities are investigated
1
improves the process performance
1
in a typical data mining application the equipment fault is recognized based on the failure symptoms. In this paper
1
providing a measure of risk for the corresponding decision set. As a result
1
quantitative data
1
redesign risk
1
schedule risk). The IDEF3 methodology is used to capture the macro-decision structure of the design process. Decision sets are identified based on logical connectors in the IDEF3 model. Each decision set corresponds to alternative paths through the IDEF3 model. A risk value is calculated for each path
1
the data sets are transformed
1
the fault tree analysis technique and minimum cut and path sets generation algorithms are applied for reliability evaluation and risk assessment of the parent activities in an IDEF3 model. A structural and reliability importance measure for parent activities in an IDEF3 model as well as for the elementary activities in a decomposed model are presented
1
the impact of the decisions on the modeled process is simulated
1
the internal setup time)
1
the knowledge is extracted with multiple algorithms
1
the paper (1) provides a method for decomposing the complex decision process inherent to concurrent design
1
thus
1
where the extracted knowledge is used to assign decision values to new objects that have not been included in the training data. For example
1
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Kusiak, Andrew
Busse, Meghan R.
15
Emons, Winand
11
Sheldon, George
11
Zettelmeyer, Florian
10
Knittel, Christopher R.
9
Lacetera, Nicola
9
Pope, Devin G.
9
Sydnor, Justin R.
9
Clerides, Sofronis
8
Davis, Lucas W.
7
Kahn, Matthew E.
7
Larsen, Bradley J.
7
Lizzeri, Alessandro
7
Pelletiere, Danilo
7
Raviv, Yaron
6
Reinert, Kenneth A.
6
Beer, Michael
5
Hendel, Igal
5
Leheyda, Nina
5
Sattler, Peter
5
Silva-Risso, Jorge M.
5
Vance, Colin
5
Verboven, Frank
5
Fakih, Ali
4
Fan, Wei
4
Ghose, Anindya
4
Green, Daniel
4
Hoekstra, Mark
4
Hortaçsu, Ali
4
Jacobsen, Mark R.
4
Lechner, Michael
4
Matvos, Gregor
4
Munk-Nielsen, Anders
4
Parker, Jonathan A.
4
Porter, Robert H.
4
Puller, Steven L.
4
Rojas, Arcenis
4
Rust, John
4
Strittmatter, Anthony
4
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Data mining and decision making
Kusiak, Andrew
-
2002
knowledge is
used
to assign decision values to new objects that have not been included in the training data. For example, in a …
Persistent link: https://www.econbiz.de/10009466041
Saved in:
2
Scheduling models for setup reduction
Feng, Chang-Xue
;
Kusiak, Andrew
;
Huang, Chun-Che
-
1997
the time and cost of setup activities with limited machining resources and budget. Factorial analysis is
used
to provide …
Persistent link: https://www.econbiz.de/10009466036
Saved in:
3
Risk assessment of process models
Kusiak, Andrew
;
Zakarian, Armen
-
1996
The IDEF methodology has been extensively
used
for modeling various processes. Qualitative and quantitative reliability …
Persistent link: https://www.econbiz.de/10009466081
Saved in:
4
Risk assessment in concurrent engineering
Larson, T. N.
;
Kusiak, Andrew
-
1995
.g., redesign risk, schedule risk). The IDEF3 methodology is
used
to capture the macro-decision structure of the design process …
Persistent link: https://www.econbiz.de/10009466034
Saved in:
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