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Janet K. Allen
University of Oklahoma
243Publications
32H-index
4,957Citations
Publications 243
Newest
#1Zhenjun Ming (OU: University of Oklahoma)
#2Gehendra Sharma (OU: University of Oklahoma)
Last.Farrokh Mistree (OU: University of Oklahoma)H-Index: 37
view all 4 authors...
Abstract The research reported in the paper is from a decision-based design perspective wherein the principal role (but not only) role of a designer is to make decisions. Decision workflows are the processes by which the solutions pertaining to the design of complex systems are generated. Decision workflows are core to design processes, in which a set of decisions are connected (or interconnected) to generate shared and desired design outputs. Careful configuration of decision workflows is very ...
#1Ru Wang (BIT: Beijing Institute of Technology)H-Index: 1
#2Anand Balu Nellippallil (MSU: Mississippi State University)H-Index: 2
Last.Farrokh Mistree (OU: University of Oklahoma)H-Index: 37
view all 6 authors...
#1Anand Balu Nellippallil (MSU: Mississippi State University)
#2Zhenjun Ming (OU: University of Oklahoma)
Last.Farrokh Mistree (OU: University of Oklahoma)H-Index: 37
view all 4 authors...
Facilitating integrated computational materials engineering (ICME) in the digitized world necessitates facilitating a network of participants (material scientists, systems designers, software developers, service customers) to share material/product/manufacturing process/market data, information, knowledge, and resources instantly and collaborate so as to facilitate a cost-effective co-creation of value supporting open innovation. Industry 4.0, a transformative industrial revolution with its new ...
#1Jelena Milisavljevic-Syed (OU: University of Oklahoma)
#2Sesh Commuri (UNR: University of Nevada, Reno)H-Index: 15
Last.Farrokh Mistree (OU: University of Oklahoma)H-Index: 1
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ABSTRACTMultistage manufacturing processes (MMPs) require multiple stations and operations. Traditionally, analysis of MMPs focused on material planning and control strategies. For a given MMP, the effect of the strategy on the volume and rate of production, ability to handle product type variability, and the effects of process variability on production rate, on-process inventory, etc., have been studied individually. Such approaches, while necessary, do not address the combined effects of MMP d...
#1Ru Wang (BIT: Beijing Institute of Technology)H-Index: 1
#2Guoxin Wang (BIT: Beijing Institute of Technology)H-Index: 3
Last.Farrokh Mistree (OU: University of Oklahoma)H-Index: 37
view all 7 authors...
#1Lin Guo (OU: University of Oklahoma)
#2Hamed Zamanisabzi (OU: University of Oklahoma)H-Index: 1
Last.Farrokh Mistree (OU: University of Oklahoma)H-Index: 37
view all 5 authors...
#1Zhenjun Ming (BIT: Beijing Institute of Technology)H-Index: 3
#2Anand Balu Nellippallil (OU: University of Oklahoma)H-Index: 2
Last.Farrokh Mistree (OU: University of Oklahoma)H-Index: 37
view all 7 authors...
#1Guoxin WangH-Index: 3
#2Xiwen ShangH-Index: 2
Last.Farrokh MistreeH-Index: 37
view all 5 authors...
Abstract A reconfigurable machine tool (RMT) can repeatedly be configured to respond to a wide range of requirements (such as a change in function or capacity) in a cost-effective manner. One of the challenges in RMT reconfiguration is the high complexity of the modular configuration due to customization. Furthermore, the possible design space may be enormous as the number of modules increases. Hence, an effective way to describe the diverse configurations of an RMT and evaluate its performance ...
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