40 research outputs found
A fuzzy logic approach to buffer management in ATM networks
No full textA fuzzy buffer controller is developed to minimize cell loss in ATM switches. The proposed fuzzy controller sequences cells in buffers based upon the corresponding priority class, end-to-end delay parameter and congestion status. Cells are then scheduled and/or discarded according to their sequenced positions. © 2006 Springer Science+Business Media, Inc
An Examination of Academic-Practitioner Co-Authorship Trends in Supply Chain Management Journals
No full textA blended model: simultaneously teaching a Quantitative Course Traditionally, Online and Remotely
No full textAs universities seek to bolster enrollment through distance education, faculty are tasked with maintaining comparable teaching/learning standards in traditional, blended, and online courses. Research has shown that there is an achievement gap between students taking courses exclusively offered online versus those enrolled in face-to-face classes. In an effort to mitigate these observed differences, the School of Business faculty at the research institution investigated various course models to meet the needs of a diverse, non-traditional, and multifaceted student population. Ultimately, a blended course model for statistics and quantitative method courses was developed that allowed students to choose between online, remote (via interactive television), and traditional course delivery modes each week. This model is more flexible and agile than existing blended courses that have more static components. Multiple regression analysis, χ2, and t-tests are used to demonstrate the efficacy of our model in maintaining student performance standards
Implementing a mathematical model for locating EMS vehicles in fayetteville, NC
No full textEmergency medical services (EMS) aims to reduce the elapsed time to respond to an emergency. The number and location of vehicles within the service area, directly affect the attainment of this goal. In this paper, we focus on a mathematical modeling approach for locating/allocating emergency vehicles and facilities in a manner that increases the number of calls that are answered within the 8-min national average. This model was applied to the EMS system in the city of Fayetteville, North Carolina, and results indicate that the average response time can be significantly improved through strategically allocating vehicles throughout the service area. © 2003 Elsevier Ltd. All rights reserved
A new day in higher ed: HyFlex Universities
No full textAs COVID-19 continues to impact various business sectors, university administrators have steadily pushed for all academic units to resume on campus operations and activities; conversely, faculty and students have expressed increased interest in continuing online teaching/learning. We aim to mitigate this “tug-of-war” between administrators, faculty and students and develop an academic ecosystem that accommodates varying preferences. We piloted a hybrid flexible (HyFlex) Business Statistics class that combined face-to-face, synchronous online, and asynchronous online delivery modes into a single course. Survey results revealed that the majority of the respondents found access to recorded lectures and flexible ways to attend class extremely useful. We also analyzed enrollment trends to ascertain the potential impact of offering HyFlex courses at one of the authors\u27 institutions. In spring 2022, over 64% of course enrollments and 72% of overcapacity classes were offered asynchronously online. Conversely, 89% of on campus classes were under capacity. Additionally, we examined tuition/fees for online vs. face-to-face courses for 50 universities in the US. Seventy eight percent of the schools had varying tuition/fees for online vs. face-to-face students, which led to revenue deficits ranging between ?171,683,736.00 to 22,727,259.00. The adoption of HyFlex courses could positively impact the aforementioned issues
Developing A Sustainable AoL Framework Using Supply Chain Principles
No full textMany accreditation agencies have adopted Assurance of Learning (AoL)-based paradigms for assessing educational institutions. Colleges/universities transitioning to an Assurance of Learning (AoL) system encounter common challenges while implementing new standards. In this research, the authors develop a stakeholder driven AoL framework which addresses common transitional issues while maintaining the Southern Association of Colleges and Schools (SACS) and Association to Advance Collegiate Schools of Business (AACSB) accreditation standards. The model incorporates supply chain practices by best in class (BIC) companies to optimize overall assessment efforts. The model decreases the number of redundant processes, improves collaboration throughout the university, and promotes a more comprehensive curriculum. After the model implementation, the authors examine mission statements and tenure, promotion and reappointment documents to gain insight about how to sustain accreditation
A blended model: simultaneously teaching a quantitative course traditionally, online, and remotely
No full textAs universities seek to bolster enrollment through distance education, faculty are tasked with maintaining comparable teaching/learning standards in traditional, blended, and online courses. Research has shown that there is an achievement gap between students taking courses exclusively offered online versus those enrolled in face-to-face classes. In an effort to mitigate these observed differences, the School of Business faculty at the research institution investigated various course models to meet the needs of a diverse, non-traditional, and multifaceted student population. Ultimately, a blended course model for statistics and quantitative method courses was developed that allowed students to choose between online, remote (via interactive television), and traditional course delivery modes each week. This model is more flexible and agile than existing blended courses that have more static components. Multiple regression analysis, ?2, and t-tests are used to demonstrate the efficacy of our model in maintaining student performance standards
Locating facilities with busy servers using a genetic algorithm with simulation
No full textMany systems rely on their ability to rapidly deliver services to customers. These systems depend upon the optimal allocation of servers within their network to achieve this goal. Determining optimal allocations is extremely complicated when the possibility of server unavailability exists. In this paper we analyze current techniques for solving our location problem and highlight some of the problems associated with these methods. We propose a genetic algorithm to locate facilities and servers to minimize the number of locations which cannot be covered within a specified time. Our proposed genetic algorithm is driven by the evaluation of the fitness of chromosomes through a discrete event simulation model. This method of evaluating chromosomes is used because of the difficulty of evaluating required probabilities. We apply our technique to an EMS system in Fayetteville, NC. We believe that our approach will lead to a general cost efficient technique for applicable location problems
A bi-criteria evolutionary algorithm for a constrained multi-depot vehicle routing problem
No full textMost research about the vehicle routing problem (VRP) does not collectively address many of the constraints that real-world transportation companies have regarding route assignments. Consequently, our primary objective is to explore solutions for real-world VRPs with a heterogeneous fleet of vehicles, multi-depot subcontractors (drivers), and pickup/delivery time window and location constraints. We use a nested bi-criteria genetic algorithm (GA) to minimize the total time to complete all jobs with the fewest number of route drivers. Our model will explore the issue of weighting the objectives (total time vs. number of drivers) and provide Pareto front solutions that can be used to make decisions on a case-by-case basis. Three different real-world data sets were used to compare the results of our GA vs. transportation field experts’ job assignments. For the three data sets, all 21 Pareto efficient solutions yielded improved overall job completion times. In 57 % (12/21) of the cases, the Pareto efficient solutions also utilized fewer drivers than the field experts’ job allocation strategies
