B2C Mass Customization in the Classroom

The purpose of this article is to describe an internet-based mass customization assignment in Operations Management/Supply Chain Management classes where students utilize the Web site of a company that offers a customized product. Students evaluate the user interface, judge the value proposition of the product they demonstrate, and discuss issues of product design, process design and scheduling, inventory management, Supply Chain Management, marketing, and competitors. The students learn about mass customization from both the producer\u27s perspective and the consumer\u27s perspective. Through their own research and the class presentations students are able to develop a better understanding of the implementation requirements and challenges of mass customization. The assignment is highly interactive and has been successfully used in Operations Management and Supply Chain Management courses at under-graduate and graduate levels and at multiple universities. In addition, practitioners interested in implementing a mass customization process can use the assignment as a brainstorming or benchmarking exercise

The role of the host in a cooperating mainframe and workstation environment, volumes 1 and 2

In recent years, advancements made in computer systems have prompted a move from centralized computing based on timesharing a large mainframe computer to distributed computing based on a connected set of engineering workstations. A major factor in this advancement is the increased performance and lower cost of engineering workstations. The shift to distributed computing from centralized computing has led to challenges associated with the residency of application programs within the system. In a combined system of multiple engineering workstations attached to a mainframe host, the question arises as to how does a system designer assign applications between the larger mainframe host and the smaller, yet powerful, workstation. The concepts related to real time data processing are analyzed and systems are displayed which use a host mainframe and a number of engineering workstations interconnected by a local area network. In most cases, distributed systems can be classified as having a single function or multiple functions and as executing programs in real time or nonreal time. In a system of multiple computers, the degree of autonomy of the computers is important; a system with one master control computer generally differs in reliability, performance, and complexity from a system in which all computers share the control. This research is concerned with generating general criteria principles for software residency decisions (host or workstation) for a diverse yet coupled group of users (the clustered workstations) which may need the use of a shared resource (the mainframe) to perform their functions

Managing resident intern rotation schedules using an on-line, user-controlled system

Accredited medical clinics that provide resident programs are faced with the problem of scheduling interns for service rotation. These schedules must meet a complex set of criteria to assure that all services are covered and each resident receives appropriate training. This paper describes the design and implementation of a windows-based resident scheduling system that meets these goals. Following that, the paper discusses the advantages and problems of working in a visual programming environment and outlines future enhancements to the system

RePP-C: runtime estimation of performance-power with workload consolidation in CMPs

Configuration of hardware knobs in multicore environments for meeting performance-power demands constitutes a desirable feature in modern data centers. At the same time, high energy efficiency (performance per watt) requires optimal thread-to-core assignment. In this paper, we present the runtime estimator (RePP-C) for performance-power, characterized by processor frequency states (P-states), a wide range of sleep intervals (Cl-states) and workload consolidation. We also present a schema for frequency and contention-aware thread-to-core assignment (FACTS) which considers various thread demands. The proposed solution (RePP-C) selects a given hardware configuration for each active core to ensure that the performance-power demands are satisfied while using the scheduling schema (FACTS) for mapping threads-to-cores. Our results show that FACTS improves over other state-of-the-art schedulers like Distributed Intensity Online (DIO) and native Linux scheduler by 8.25% and 37.56% in performance, with simultaneous improvement in energy efficiency by 6.2% and 14.17%, respectively. Moreover, we prove the usability of RePP-C by predicting performance and power for 7 different types of workloads and 10 different QoS targets. The results show an average error of 7.55% and 8.96% (with 95% confidence interval) when predicting energy and performance respectively.This work has been partially supported by the European Union FP7 program through the Mont-Blanc-2 project (FP7-ICT-610402), by the Ministerio de Economia y Competitividad under contract Computacion de Altas Prestaciones VII (TIN2015-65316-P), and the Departament d’Innovacio, Universitats i Empresa de la Generalitat de Catalunya, under project MPEXPAR: Models de Programacio i Entorns d’Execucio Paral.lels (2014-SGR-1051).Peer ReviewedPostprint (author's final draft

Balancing Medical Resident Education and Workload while Ensuring Quality Patient Care

Medical residency is a requirement for medical professionals to practice medicine. Residency programs in internal medicine lasts 3 years and require residents to undergo a series of supervised rotations in elective, inpatient, and ambulatory units. Typically a team of chief residents develops a yearly rotational schedule that assigns residents to various departments for each week of the year, and for each day of the week. Scheduling resident rotations is complex as it needs to consider various academic, managerial, and legal restrictions while ensuring that the resulting schedules facilitate patient care and are balanced in terms of resident educational experience, workload, and resident satisfaction. This study proposes: (1) a multi-objective optimization approach for generating year-long resident rotation schedules; (2) an AHP (Analytical Hierarchy Process) model to compare schedules across multiple criteria and facilitate their adoption and implementation; (3) a methodology for studying the interaction between weekly and daily resident rotation schedules.; (4) an optimization based approach for ensuring continuity of care at outpatient clinics; and, (5) a methodology for evaluating resident assignment policies to outpatient clinics

Textual analysis of internal medicine residency personal statements: themes and gender differences

Context Applicants to US residency training programmes are required to submit a personal statement, the content of which is flexible but often requires them to describe their career goals and aspirations. Despite their importance, no systematic research has explored common themes and gender differences inherent to these statements. Objectives This study was conducted to analyse US applicants’ Electronic Residency Application Service (ERAS) personal statements using two automated textual analysis programs, and to assess for common themes and gender-associated differences. Methods A retrospective cohort study of 2138 personal statements (containing 1 485 255 words) from candidates from 377 national and international medical schools applying to US internal medicine (IM) residency programmes through ERAS was conducted. A mathematical analysis of text segments using a recursive algorithm was performed; two different specifications of the text segments were used to conduct an internal validation. Results Five statistically significant thematic classes were identified through independent review by the researchers. These were best defined as referring to: the appeal of the residency programme; memorable patients; health care as public policy; research and academia, and family inspiration. Some themes were common to all applications. However, important gender-specific differences were identified. Notably, men were more likely to describe personal attributes and to self-promote, whereas women more frequently expressed the communicative and team-based aspects of doctoring. The results were externally validated using a second software program. Although these data comprise part of the national pool, they represent applicants to a single specialty at a single institution. Conclusions By applying textual analysis to material derived from a national cohort, we identified common narrative themes in the personal statements of future US physicians, noting differences between men and women. Together, these data provide novel insight into the dominant discourse of doctoring in this generation of students applying for further training in US IM residency programmes, and depict a diverse group of applicants with multiple motivations, desires and goals. Furthermore, differences seen between men and women add to the growing understanding of bias in medical education. Training programmes may benefit by adapting curricula to foster such diverse interests