J
John P. Dismukes
Researcher at University of Toledo
Publications - 24
Citations - 1783
John P. Dismukes is an academic researcher from University of Toledo. The author has contributed to research in topics: Innovation management & Supply chain. The author has an hindex of 12, co-authored 24 publications receiving 1704 citations.
Papers
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Product-driven supply chain selection using integrated multi-criteria decision-making methodology
TL;DR: This paper relates product characteristics to supply chain strategy and adopt supply chain operations reference (SCOR) model level I performance metrics as the decision criteria and develops an integrated analytic hierarchy process and preemptive goal programming based multi-criteria decision-making methodology.
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Designing supply chains: Towards theory development
TL;DR: A typology for designing supply chains that work in harmony to design, produce, and deliver products with different characteristics and customer expectations is described.
Journal ArticleDOI
Manufacturing productivity improvement using effectiveness metrics and simulation analysis
Samuel H. Huang,John P. Dismukes,J. Shi,Qi Su,Mousalam A. Razzak,Rohit Bodhale,D. Eugene Robinson +6 more
TL;DR: In this paper, a methodology is presented for productivity measurement and analysis at the factory level, which is based on the overall equipment effectiveness (OEE) and overall throughput effectiveness (OTE).
Journal ArticleDOI
Manufacturing system modeling for productivity improvement
TL;DR: In this paper, an approach based on overall equipment effectiveness (OEE) is developed to model the productivity of a manufacturing system in terms of overall throughput effectiveness (OTE), where sensitivity analysis and theory of constraints are used to identify productivity improvement opportunities.
Patent
Hierarchical methodology for productivity measurement and improvement of productions systems
TL;DR: A hierarchical method, computer system, and computer product for causally relating productivity to a complex manufacturing system to provide an integrated analysis of the system which measures, monitors, analyzes and, optionally, simulates performance of the complex manufacturing systems based on a common set of productivity metrics for throughput effectiveness, throughput, cycle time effectiveness, and inventory as mentioned in this paper.