About

Jeff Joines received all four of his engineering degrees from North Carolina State University. His expertise lies in supply chain optimization utilizing computer simulation, where he has published numerous papers and delivered many international presentations. He has collaborated with many Fortune 500 companies to improve efficiency and processes through his research. Joines has held significant roles in the Winter Simulation Conference, including Co-Proceedings Editor for the 2000 conference, Program Chair for the 2005 conference, and served on the WSC Board for ten years. He teaches undergraduate and graduate courses in computer information systems, database systems, simulation modeling using SIMIO, and Lean Six Sigma. His passion is in helping students reach their full potential and integrating technology into the classroom to enhance problem-solving skills. Joines has received numerous awards for his professional contributions, including the James R Wilson Winter Simulation Conference Board of Directors Award in 2021, the INFORMS Distinguished Service Award in 2014, and the NC State Alumni Association Distinguished Undergraduate Professor Award in 2012. His research focuses on supply chain optimization through computer simulation modeling and applied optimization problems within the textile industry and beyond. He is actively involved in professional organizations such as INFORMS, IEEE, and IIE, and has contributed to industrial short courses on simulation, databases, and Lean Six Sigma.

Research topics

• Computer Science
• Engineering
• Artificial Intelligence
• Sociology
• Business
• Pedagogy
• Theoretical computer science
• Transport engineering
• Computer network
• Knowledge management
• Engineering ethics
• Software engineering
• Operations research
• Programming language

Selected publications

• Advanced mathematical analysis to optimize image processing for pore size assessment of knitted fabrics

  Research Square · 2022-10-24

  preprintOpen accessSenior authorCorresponding

  Abstract Pore size is one of the significant factors influencing fabric performance, such as comfort and protection. The reliable measurement of pore size is fundamental to studying fabric structure and performance. Image processing is the popular method to characterize pore size because of its convenience and efficiency. However, there is no standard procedure to retrieve pores from fabric images. Furthermore, many uncertainties exist when deciding on critical thresholds, making the process subjective and less comparable. The study proposed a standardized workflow to determine the pore size and the distribution of knitted fabrics using image processing. The major contributions include discussing the impact of structuring element size on fabric structure, suggesting an objective way to select the optimal structuring element size, and proposing an approach to isolate noise pores. As a result, the measurement of pore size using image processing is more accurate and reliable, reflecting the true pore size distribution of fabrics, establishing a solid foundation for producing qualified fabrics. Moreover, the proposed method includes specific steps for image processing and objective criteria for selecting thresholds, enabling the generation of computer algorithms that automatically process fabric images on a large scale, making it more efficient and saving labor, time, and money.

  PublisherOA PDFDOI

• Effect of Remote Cardiac Monitoring System Design on Response Time to Critical Arrhythmias

  Simulation in Healthcare The Journal of the Society for Simulation in Healthcare · 2021-09-10 · 1 citations

  articleOpen access

  INTRODUCTION: In many hospitals across the country, electrocardiograms of multiple at-risk patients are monitored remotely by telemetry monitor watchers in a central location. However, there is limited evidence regarding best practices for designing these cardiac monitoring systems to ensure prompt detection and response to life-threatening events. To identify factors that may affect monitoring efficiency, we simulated critical arrhythmias in inpatient units with different monitoring systems and compared their efficiency in communicating the arrhythmias to a first responder. METHODS: This was a multicenter cross-sectional in situ simulation study. Simulation participants were monitor watchers and first responders (usually nurses) in 2 inpatient units in each of 3 hospitals. Manipulated variables included: (1) number of communication nodes between monitor watchers and first responders; (2) central monitoring station location-on or off the patient care unit; (3) monitor watchers' workload; (4) nurses' workload; and (5) participants' experience. RESULTS: We performed 62 arrhythmia simulations to measure response times of monitor watchers and 128 arrhythmia simulations to measure response times in patient care units. We found that systems in which an intermediary between monitor watchers and nurses communicated critical events had faster response times to simulated arrhythmias than systems in which monitor watchers communicated directly with nurses. Responses were also faster in units colocated with central monitoring stations than in those located remotely. As the perceived workload of nurses increased, response latency also increased. Experience did not affect response times. CONCLUSIONS: Although limited in our ability to isolate the effects of these factors from extraneous factors on central monitoring system efficiency, our study provides a roadmap for using in situ arrhythmia simulations to assess and improve monitoring performance.

  PublisherOA PDFDOI

• Computing Across Curricula

  2020-09-03 · 4 citations

  articleOpen access

  2 books, 2 patents, and developed 2 graduate courses. His theoretic research lies in the areas of field theory and control of dynamical systems. On the more applied side, he developed the OE-6 Orbiter Ejector which flew on 3 shuttle missions (STS 47 in 1992, STS 53 and STS 60 in 1994), developed light-regulating insulated glass and developed trans-permanent magnetic actuation technology for ultra-low power devices (HVAC dampers, solenoids).

  PublisherOA PDFDOI

• Integration Of Computer Based Problem Solving Into Engineering Curricula

  2020-09-04 · 3 citations

  articleOpen access

  The primary objectives of this engineering project are (1) to examine how to develop students' problem solving and computational skills early in their program of study and (2) to further enhance these skills by building upon critical computing concepts semester after semester.The project is a component of NC State University's quality enhancement plan, which focuses on the use of technology in enhancing student learning.The project stems from new introductory computer-based modeling courses that were created in two engineering departments, and has expanded to include other departments.We give an overview of the project, provide an example of how a problem is modeled and broken apart, present some assessment results, and discuss the emerging lessons being learned.

  PublisherOA PDFDOI

• Integrating Computing into Thermodynamics: Lessons Learned

  2020-09-04 · 1 citations

  articleOpen accessSenior author

  Her research expertise is in the design and application of computational approaches that predict and modulate the properties of systems at the nanoscale, including polymers, proteins, and fibers. (More information about her team and their research projects can be found at http://www.te.ncsu.edu/mpasquinelli.) She also teaches a variety of courses each year at the

  PublisherOA PDFDOI

• Logistics of carpet recycling in the U.S.: designing the recycling network

  Journal of the Textile Institute · 2020 · 6 citations

  • Computer Science
  • Computer Science
  • Transport engineering

  Transportation of post-consumer carpet from collection points to recycling facilities and then to the end-users of the recycled materials contributes significantly to the final costs of recycled materials. In this article, several alternative network designs for the U.S. carpet recycling systems are developed and compared in terms of network costs. In two scenarios, these networks include layers of local collection centers, recycling plants, and markets for recycled materials. In the third scenario, a layer of regional collection centers is added before the recycling plants to aggregate carpet for more efficient sorting and transportation. To find the optimal number and locations of recycling plants and regional collection centers as well as the optimal flows among network facilities, a hierarchical facility location model is formulated that can be used for the different network configurations considered. To solve large-scale instances of the problem, a heuristic method based on the alternative location-allocation procedure is developed, and a computational study is conducted to assess its performance. The results of the study can be used by organizations involved in carpet recycling in the U.S. to establish reverse networks. In addition, the optimization model and the solution heuristic can be used for similar problems in forward or reverse logistics.

  PublisherDOI

• Development of a Standard Testing Procedure for Evaluating Firefighter Protective Hoods on PyroHead Fire Test System

  ASTM International eBooks · 2020-09-01 · 2 citations

  book-chapter
  PublisherDOI

• Computer Based Modeling For Engineers Using Excel And Vba

  2020 · 5 citations

  1st authorCorresponding
  • Computer Science
  • Computer Science
  • Software engineering

  Many engineering curriculum around the country are re-evaluating their introductory computer programming requirement. At our university, several departments have been changing from the traditional Java or C++ course to something more applicable to their discipline. This paper will address the development of a joint course across Industrial and Textile Engineering. Students from both departments were not using their programming knowledge in remaining courses or when they graduated. Furthermore, the introductory Java (C++) class was being taught as a service course to masses of students at one time in our university's theater. The students were not enthusiastic about the course and certainly not developing the computer modeling skills that we felt were necessary (i.e., given a problem can they develop a method for solving the problem). Therefore, we decided drop the introductory course and develop a new course in Excel and Visual Basic for Applications to better address the needs of our industry and faculty colleagues. This course was not intended to duplicate the traditional computer science method of presenting programming. Our goal was to educate students to model problems relevant to our disciplines, solve these problems using modeling tools, and then analyze these solutions through decision support (i.e., become "power users" and not programmers). This paper will address the critical development of a series of "InClassLabs" and their impact on student learning and our two curricula. Many of our homework and cases studies come from industrial sponsor data and represent real cases. The paper will discuss the fundamental issues that lead the two authors to develop this computer-intensive course. Of special interest is the classroom environment bolstered by the use of in-class teaching assistants and the use of Tablet PCs. Student evaluations are used to provide insight into the teaching strategies employed.

  PublisherOA PDFDOI

• Using Computational Tools To Enhance Problem Solving

  2020 · 7 citations

  • Computer Science
  • Computer Science
  • Theoretical computer science

  Many engineering curriculum around the country are re-evaluating their introductory computer programming requirement. At our university, several departments have introduced new computer-based modeling courses that integrate critical thinking and problem solving with computational thinking and programming as a replacement of the traditional first computer programming course. The skills learned in such freshman level courses are being iterated and expanded on in subsequent courses in these curricula in order to create a 'computational thinking thread'. One unforeseen consequence of the computer based modeling course was an increase in the student's problem solving ability. This study explores the role that computing has on student's problem solving abilities and tries to quantify its impact. Students in several freshman and senior level engineering courses across different disciplines were asked to solve a common problem solving task as well as reflect on the process they used to solve the problem. The student's solutions were scored using a protocol based on Wolcott's 'Steps for better thinking rubric' The paper will outline the problem used; report on the scoring procedures and methodology; and present the results from the study. The results demonstrated that students who utilized computing generated better solutions and are better problem solvers than those who did not use a computer.

  PublisherOA PDFDOI

• Computing Across Curricula: The View Of Industry Leaders

  2020 · 8 citations

  • Computer Science
  • Computer Science
  • Knowledge management

  With the aim of preparing students for pervasive, advanced computing in the workplace,

  PublisherOA PDFDOI

Frequent coauthors

• Kristin Thoney-Barletta

  18 shared

• Russell E. King

  North Central State College

  17 shared

• Stephen D. Roberts

  University of Manchester

  12 shared

• Anastasia Anagnostou

  11 shared

• C. Thomas Culbreth

  8 shared

• Thom J. Hodgson

  North Carolina State University

  8 shared

• Michael G. Kay

  North Carolina State University

  8 shared

• Iurii Sas

  North Carolina State University

  7 shared

Education

• Ph.D.

  NC State University

Awards & honors

• James R Wilson Winter Simulation Conference Board of Directo…
• Emerald Literati Outstanding Paper Award for the paper “Appa…
• Ed Fitts Department of Industrial & Systems Engineering Dist…
• Alumni Association Outstanding Extension and Outreach Award…
• NC State Outstanding Extension Service Award (2017)