K. C. Morris

ORCID: 0000-0001-5206-5525
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About
Contact & Profiles
Research Areas
  • Manufacturing Process and Optimization
  • Flexible and Reconfigurable Manufacturing Systems
  • Sustainable Supply Chain Management
  • Digital Transformation in Industry
  • Recycling and Waste Management Techniques
  • Environmental Impact and Sustainability
  • Semantic Web and Ontologies
  • Advanced Database Systems and Queries
  • Additive Manufacturing and 3D Printing Technologies
  • Sustainable Industrial Ecology
  • Spacecraft Design and Technology
  • Space Satellite Systems and Control
  • Energy Efficiency and Management
  • Service-Oriented Architecture and Web Services
  • Model-Driven Software Engineering Techniques
  • Product Development and Customization
  • Adaptive optics and wavefront sensing
  • Planetary Science and Exploration
  • Additive Manufacturing Materials and Processes
  • Data Quality and Management
  • Advanced Computational Techniques and Applications
  • Advanced Software Engineering Methodologies
  • Business Process Modeling and Analysis
  • Software System Performance and Reliability
  • Scheduling and Optimization Algorithms

UK Astronomy Technology Centre
2020-2024

National Institute of Standards and Technology
2015-2024

National Institute of Standards
1991-2024

London South Bank University
2024

Material Measurement Laboratory
2023

Life Cycle Engineering (United States)
2022

Royal Observatory
2020-2022

Science and Technology Facilities Council
2020

ORCID
2020

Integra (United States)
2013

article Free AccessSharing manufacturing information in virtual enterprises Authors: Martin Hardwick Laboratory for Industrial Information Infrastructure, Rensselaer Polytechnic Institute, Troy, NY NYView Profile , David L. Spooner Tom Rando General Dynamics, Electric Boat Division, 76 Eastern Point Road, Groton, CT CTView K. C. Morris National Institute of Standards and Technology, Building 220, Room A127, Gaithersburg, MD MDView Authors Info & Claims Communications the ACMVolume 39Issue...

10.1145/230798.230803 article EN Communications of the ACM 1996-02-01

Smart manufacturing systems (SMSs) are envisioned to contain highly automated and IT-driven production systems. To address the complexity that arises in such systems, a standard holistic model for describing its activities their interrelationships is needed. This paper introduces factory design improvement (FDI) activity illustrates case study of FDI an electromechanical component factory. In essence, reference encompasses range system designing improving during initial development also...

10.1080/09537287.2016.1237686 article EN Production Planning & Control 2016-10-04

The emerging concept of smart manufacturing systems is defined in part by the introduction new technologies that are promoting rapid and widespread information flow within system surrounding its control.These can deliver unprecedented awareness, agility, productivity, resilience production process exploiting ever-increasing availability real-time data.Optimized collection analysis this voluminous data to guide decision-making is, however, a complex dynamic process.To establish maintain...

10.6028/jres.121.013 article EN publisher-specific-oa Journal of Research of the National Institute of Standards and Technology 2016-06-01

Realization of a Circular Economy is paramount to solving global challenges in resource scarcity, sustainable manufacturing, and supply chain uncertainty. A (CE) an economic system hallmarked by linearity reduction, decoupling growth depletion, favoring regenerative models that consider sustainability. Growing support for CE leading the proliferation new terms, standards, research meet different goals CE. However, gaps exist formalization these frameworks, contributions. This paper provides...

10.1016/j.procir.2022.02.141 article EN Procedia CIRP 2022-01-01

The future of manufacturing lies in being able to optimize the use resources produce high quality product and adapt quickly changing conditions. From smaller lot sizes, more customization, sudden changes supply chain; variability that manufacturers face is rapidly increasing. A key enabling adaptive smart systems appropriate definition information. Standards are fundamental 1) facilitate delivery right information at time, 2) enable actions based on 3) reduce risk technology adoption...

10.1109/coase.2015.7294229 article EN IEEE International Conference on Automation Science and Engineering (CASE) 2015-08-01

The complexity of the relationship strategic goals to operational performance across many levels a manufacturing system inhibits realization Smart Manufacturing Systems (SMS). This paper proposes method for identifying what aspects should be addressed respond changing goals. uses standard techniques in specifying and between metrics. Two existing reference models related operations are represented formally integrated support proposed method. is illustrated single scenario using agility as...

10.1016/j.procs.2015.03.051 article EN Procedia Computer Science 2015-01-01

One of the main challenges applying AI to certain datasets derives from themselves being unstructured, unclear, and ambiguous. Furthermore, insights that are be gained reflect quality data itself; if is skewed, so will insights. This problem not unique technology. People looking back at logs past events often struggle understand what was recorded, put together a timeline amongst range actors. technology can help humans sort out, but it does provide same insight found in background knowledge...

10.1109/bigdata.2017.8258120 article EN 2021 IEEE International Conference on Big Data (Big Data) 2017-12-01

The need for an open, inclusive, and neutral procedure in selecting key performance indicators (KPIs) sustainable manufacturing has been increasing. reason is that manufacturers seek to determine what measure improve environmental sustainability of their products processes. A difficulty arises understanding specific from many stand-alone indicator sets available. This paper presents a individual select KPIs measuring, monitoring, improving aspects the basis guideline, being proposed...

10.1115/1.4037439 article EN Journal of Manufacturing Science and Engineering 2017-07-29

Smart manufacturing combines advanced capabilities and digital technologies throughout the product lifecycle. These can provide decision-making support to manufacturers through improved monitoring, analysis, modeling, simulation that generate more better intelligence about systems. However, challenges barriers have impeded adoption of smart technologies. To begin address this need, paper defines requirements for data-driven decision making in based on a generalized description making. Using...

10.1115/detc2016-59721 article EN 2016-08-21

10.1016/j.jclepro.2022.130589 article EN publisher-specific-oa Journal of Cleaner Production 2022-01-19

The development of secondary sources as industrial feedstocks is important to creating resilient supply chains that contribute towards diverting resources away from landfills, mitigating deleterious environmental impacts, and minimizing market volatility. A major challenge develop the coordination digitalization large quantities generated information at each phase a product’s life cycle. This paper builds upon earlier work illustrates top-level model activities needs integrate product...

10.3389/fmtec.2023.988073 article EN cc-by Frontiers in Manufacturing Technology 2023-04-18

The Circular Economy (CE) has been proposed as a strategy to promote the efficient use of resources, maximizing benefits derived from materials and products through value recovery strategies, minimizing waste generation. However, ambiguity remains in defining what makes product circular its characteristics when adapting CE concept for application at level. More clarity about constitutive Products (CPs) is also vital facilitate their design. To address this challenge, with intention increase...

10.1016/j.rcradv.2024.200219 article EN cc-by-nc Resources Conservation & Recycling Advances 2024-05-29

Smart manufacturing is defined by high degrees of automation.Automation, in turn, clearly processes.The use standards this environment not just commonplace, but essential to creating repeatable processes and reliable systems.As with the rest society, systems are becoming more tightly connected through advances information communication technologies (ICT).As a result, manufacturers able receive from their business partners operational units much quickly expected respond as well.Quick...

10.6028/jres.121.021 article EN publisher-specific-oa Journal of Research of the National Institute of Standards and Technology 2016-09-01

Key Performance Indicators (KPIs) are crucial for measuring and improving the performance of a manufacturing process. An especially critical aspect developing balanced process improvement strategies across all objectives is need to discover inherent relationships between KPIs assigned targeted This paper explores graph-based visual representations analytic their underlying metrics uncover describe KPI relationships. Lessons learned summarized as list requirements development an interactive...

10.1016/j.procir.2016.11.176 article EN Procedia CIRP 2017-01-01

Sustainability assessments are dependent on accurate measures for energy, material, and other resources used by the processes involved in life cycle of a product. Manufacturing accounts about 1/5 energy consumption U.S. Minimizing material this field has promise dramatically reducing our dependence. To end, ASTM International [1] formed both committee (E60) Subcommittee Sustainable (E60.13). This paper describes ASTM’s new guide characterizing environmental aspects manufacturing [2]. The...

10.1115/1.4033922 article EN Journal of Manufacturing Science and Engineering 2016-06-20

Recent efforts in smart manufacturing (SM) have proven quite effective at elucidating system behavior using sensing systems, communications, and computational platforms, along with statistical methods to collect analyze the real-time performance data. However, how do you effectively select where when implement these technology solutions within operations? Furthermore, account for human-driven activities inserting new technologies? Due a reliance on human problem-solving skills, today’s...

10.1115/1.4044105 article EN Journal of Manufacturing Science and Engineering 2019-06-26

A Circular Economy (CE) is facilitated by the closing of material flow loops. This requires development complex collection, sorting, and product recovery mechanisms. Besides infrastructural challenges, further complicated manufacture consumption increasingly multi-component multi-material products whose design often limits efficient disassembly at end life. The lack information on how to treat use (EoU) associated costs inhibits recovery-related decision-making. Thus, default EoU treatment...

10.1016/j.procir.2023.02.015 article EN Procedia CIRP 2023-01-01
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