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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Guidelines For Using Process Mapping To Aid Improvement Efforts, Paul Savory, John Olson Dec 2015

Guidelines For Using Process Mapping To Aid Improvement Efforts, Paul Savory, John Olson

John Olson

Process mapping is an easy-to-visualize method for people to analyze and agree on the most efficient routes for reengineering or improving a process. It aids in determining redundant tasks, uncovering hidden interactions between processes and people, and focusing on the processes that serve customers, improve quality, and generate income. This paper presents guidelines for using process mapping as an improvement tool. It is based on the authors’ experiences in aiding a variety of healthcare, service, and manufacturing companies.


Cracking The Shell To Student Learning: An Innovative Instructional Approach, John Olson, Paul Savory Dec 2015

Cracking The Shell To Student Learning: An Innovative Instructional Approach, John Olson, Paul Savory

John Olson

Management and Industrial Engineering courses is motivating students to learn and apply the quantitative and managerial aspects of the material. The aim of our educational methodology is to not only teach and reinforce the core principles of the disciplines, but to have students develop a set of skills that will make them competitive in the classroom and the workforce. Teaching is why a university exists. As a result, the objective of our instructional approach is to attract and retain dedicated students to the fields of Operations Management and Industrial Engineering and to keep those students competitive and in focus with ...


Electronic Supplement: Value Focused Thinking For Community-Based Organizations: Objectives And Acceptance In Local Development, Jeffrey Keisler, David A. Turcotte, Rachel B. Drew, Michael P. Johnson Jr. Nov 2014

Electronic Supplement: Value Focused Thinking For Community-Based Organizations: Objectives And Acceptance In Local Development, Jeffrey Keisler, David A. Turcotte, Rachel B. Drew, Michael P. Johnson Jr.

Michael P. Johnson

This is an electronic supplement to the manuscript "Value Focused Thinking for Community-Based Organizations: Objectives and Acceptance in Local Development", published by the EURO Journal on Decision Processes.


Decision Diagrams And Dynamic Programming, John Hooker Dec 2012

Decision Diagrams And Dynamic Programming, John Hooker

John Hooker

No abstract provided.


Mixed Integer Programming Vs Logic-Based Benders Decomposition For Planning And Scheduling, John Hooker, Andre Cire Dec 2012

Mixed Integer Programming Vs Logic-Based Benders Decomposition For Planning And Scheduling, John Hooker, Andre Cire

John Hooker

No abstract provided.


A Decision Support Model For The Location Of Hand Sanitizer Dispensers In Hospitals, Laila Cure Dec 2012

A Decision Support Model For The Location Of Hand Sanitizer Dispensers In Hospitals, Laila Cure

Laila Cure

Compliance with hand hygiene practices is directly affected by the accessibility and availability of cleaning agents. Nevertheless, the decision of where to locate these dispensers is often not explicitly or fully addressed in the literature. In this paper, we study the problem of selecting the locations to install alcohol-based hand sanitizer dispensers throughout a hospital unit. We investigate the relevant criteria in selecting dispenser locations that promote compliance with hand hygiene practices, propose metrics for the evaluation of various location configurations, and formulate a dispenser location optimization model that incorporates such criteria. A complete methodology to collect data and obtain ...


Planning For Meals-On-Wheels: Algorithms And Application, Hakan Yildiz, Michael P. Johnson Jr., Stephen Roehrig Dec 2012

Planning For Meals-On-Wheels: Algorithms And Application, Hakan Yildiz, Michael P. Johnson Jr., Stephen Roehrig

Michael P. Johnson

Home-Delivered Meals provision, also known as Meals-on-Wheels, is a volunteer-staffed activity for which little strategic planning is performed. We develop a Memetic Algorithm to solve the Home Delivered Meals Location Routing Problem. This planning model addresses facility location, allocation of demand to facilities, and design of delivery routes, while balancing efficiency and effectiveness considerations. The case study presented on a large data set shows how trade-off curves, which are very useful for decision making, can be obtained by the method developed.


Designing Intelligent Agents To Support Long-Term Partnership In Two Echelon E-Supply Networks, Shima Mohebbi, Xueping Li Dec 2012

Designing Intelligent Agents To Support Long-Term Partnership In Two Echelon E-Supply Networks, Shima Mohebbi, Xueping Li

Xueping Li

No abstract provided.


What Is A Strategic Acquisition? Decision Modeling In Support Of Foreclosed Housing Redevelopment, Michael P. Johnson Jr., Rachel B. Drew, Jeffrey Keisler, David Turcotte Aug 2012

What Is A Strategic Acquisition? Decision Modeling In Support Of Foreclosed Housing Redevelopment, Michael P. Johnson Jr., Rachel B. Drew, Jeffrey Keisler, David Turcotte

Michael P. Johnson

This paper describes and develops a model for calculating location-based strategic values of foreclosed properties considered for acquisition and redevelopment by community development corporations (CDCs). A property’s strategic value refers to its proximity to site-specific neighborhood amenities and disamenities (e.g. schools, public transit, distressed properties), given the relative importance of that proximity to CDC organizational and community objectives. We operationalize the concept of strategic value, and apply this concept to a salient public sector decision problem. Using data and value assessments from a CDC engaged in foreclosed housing redevelopment, we compute measures of strategic value for a set ...


Integrated Methods For Optimization, 2nd Ed, John Hooker Dec 2011

Integrated Methods For Optimization, 2nd Ed, John Hooker

John Hooker

No abstract provided.


A Hybrid Tabu Search And Constraint Programming Algorithm For The Dynamic Dial-A-Ride Problem, Gerardo Berbeglia Dec 2011

A Hybrid Tabu Search And Constraint Programming Algorithm For The Dynamic Dial-A-Ride Problem, Gerardo Berbeglia

Gerardo Berbeglia

No abstract provided.


Reinforcement Learning For Joint Pricing, Lead-Time And Scheduling Decisions In Make-To-Order Systems, Xueping Li, Jiao Wang, Rapinder Sawhney Dec 2011

Reinforcement Learning For Joint Pricing, Lead-Time And Scheduling Decisions In Make-To-Order Systems, Xueping Li, Jiao Wang, Rapinder Sawhney

Xueping Li

No abstract provided.


Toward Unification Of Exact And Heuristic Optimization Methods, John Hooker Dec 2011

Toward Unification Of Exact And Heuristic Optimization Methods, John Hooker

John Hooker

No abstract provided.


Evaluating The Impact Of Ehr On Clinical Reasoning Performance: A Ttf Perspective, Matthew Wills, Omar El-Gayar, Amit Deokar Dec 2011

Evaluating The Impact Of Ehr On Clinical Reasoning Performance: A Ttf Perspective, Matthew Wills, Omar El-Gayar, Amit Deokar

Amit Deokar

The proliferation of Electronic Health Records (EHR) as a backbone for healthcare delivery necessitates adequate tools for evaluating and improving the efficacy of such investments particularly as it relates to clinical reasoning performance. However, a thorough review of the literature indicates lack of a tested, validated instrument for evaluating and predicting the impact of EHR use on clinical reasoning performance. Despite successful application to a variety of other industries, TTF has not been adequately adapted to healthcare, EHR technology or the clinical reasoning task. Accordingly, the objectives of this research are to: 1) produce a valid instrument with diagnostic and ...


Checking The Feasibility Of Dial-A-Ride Instances Using Constraint Programming, Gerardo Berbeglia, Gilles Pesant, Louis-Martin Rousseau Dec 2010

Checking The Feasibility Of Dial-A-Ride Instances Using Constraint Programming, Gerardo Berbeglia, Gilles Pesant, Louis-Martin Rousseau

Gerardo Berbeglia

No abstract provided.


Covering Models And Optimization Techniques For Emergency Response Facility Location And Planning: A Review, Xueping Li, Zhaoxia Zhao, Xiaoyan Zhu, Tami Wyatt Dec 2010

Covering Models And Optimization Techniques For Emergency Response Facility Location And Planning: A Review, Xueping Li, Zhaoxia Zhao, Xiaoyan Zhu, Tami Wyatt

Tami H Wyatt

No abstract provided.


Evaluating The Impact Of Patient Arrival Patterns In The Performance Of Appointment Scheduling Rules, Alcides Santander-Mercado, Jose Zayas-Castro, Laila Cure, Ali Yalcin Dec 2010

Evaluating The Impact Of Patient Arrival Patterns In The Performance Of Appointment Scheduling Rules, Alcides Santander-Mercado, Jose Zayas-Castro, Laila Cure, Ali Yalcin

Laila Cure

This paper evaluates the ability of commonly used Appointment Scheduling Rules (ASRs) in smoothing the effect of environmental factors in the performance of an outpatient scheduling system. ASRs have been widely implemented in outpatient clinics to improve performance measures such as staff idle time, patient waiting time, and facility congestion. However, the successful implementation of an ASR depends on its ability in dealing with the environmental factors affecting the system. Factors such as no-shows, variability of consultation times, patient unpunctuality, walk-in patient arrivals and the number of admitted patients per session affect the performance of the clinics in terms of ...


Challenges And Models In Supporting Logistics System Design For Biomass-To-Bioenergy Industry, Xiaoyan Zhu, Xueping Li, Qingzhu Yang, Yuerong Chen Dec 2010

Challenges And Models In Supporting Logistics System Design For Biomass-To-Bioenergy Industry, Xiaoyan Zhu, Xueping Li, Qingzhu Yang, Yuerong Chen

Xueping Li

No abstract provided.


Intelligent Dynamic Control Of Stochastic Economic Lot Scheduling By Agent-Based Reinforcement Learning, Jiao Wang, Xueping Li, Xiaoyan Zhu Dec 2010

Intelligent Dynamic Control Of Stochastic Economic Lot Scheduling By Agent-Based Reinforcement Learning, Jiao Wang, Xueping Li, Xiaoyan Zhu

Xueping Li

No abstract provided.


Business Ethics As Rational Choice, John Hooker Dec 2010

Business Ethics As Rational Choice, John Hooker

John Hooker

No abstract provided.


Ontology-Based Information Extraction For Analyzing It Services, Amit Deokar, Sagnika Sen Dec 2009

Ontology-Based Information Extraction For Analyzing It Services, Amit Deokar, Sagnika Sen

Amit Deokar

Service Level Agreements (SLA) for multi-service Information Technology (IT) outsourcing contracts contain vast amounts of textual information. The SLAs provide details about a specific service, Key Performance Indicators (KPI) to measure its performance; as well as process elements, such as activities, events, and resources that are integral in achieving performance goals. However, KPIs and the process elements may be interrelated. The knowledge of such interrelationships is often tacitly present in the SLAs. The aim of our research is to extract this hidden information from IT service contracts and analyze them to empower customers of IT services to make better performance ...


Key Establishment For Layered Group-Based Wireless Sensor Networks, Xueping Li, Dengfeng Yang, Rapinder Sawhney Dec 2009

Key Establishment For Layered Group-Based Wireless Sensor Networks, Xueping Li, Dengfeng Yang, Rapinder Sawhney

Xueping Li

Establishing pairwise keys for sensors is crucial to secure communications in Wireless Sensor Networks (WSNs). Several key pre-distribution schemes have been proposed to establish pairwise keys, but they are not scalable and suffer from a dramatic degradation of security when the number of compromised sensor exceeds a threshold. In this paper, we propose a Layered Group-based Key Establishment (LGKE) scheme, in which a logic top layer ensures the scalability through an Exclusion Basic System (EBS) technique while a logic low layer adopts a group-based key preload scheme to ensure the security. The security analysis and quantitative evaluation show the superiority ...


Dynamic Pickup And Delivery Problems, Gerardo Berbeglia Dec 2009

Dynamic Pickup And Delivery Problems, Gerardo Berbeglia

Gerardo Berbeglia

No abstract provided.


Impacts Of Supply Disruptions And Customer Differentiation In A Partial-Backordering Inventory System, Xueping Li, Yuerong Chen Dec 2009

Impacts Of Supply Disruptions And Customer Differentiation In A Partial-Backordering Inventory System, Xueping Li, Yuerong Chen

Xueping Li

In this paper, we study a single-product inventory system which involves a supplier, a retailer, and differentiated customers. The supplier provides products to the retailer which in turn sells products to its customers. The supplier is unreliable and is subject to random disruptions. The retailer adopts a periodic-review inventory policy, under which the retailer reviews its inventory position every a fixed period of time and decides whether a replenishment is needed or not. Partial backordering is applied when a stockout occurs. That is, under the situations of stockouts, customers can choose either to backorder products or to abandon the purchase ...


Effective Precedence Constrained Scheduling In A Make-To-Order Environment, Xueping Li, Jiao Wang, Rapinder Sawhney Dec 2008

Effective Precedence Constrained Scheduling In A Make-To-Order Environment, Xueping Li, Jiao Wang, Rapinder Sawhney

Xueping Li

The make-to-order assembly lines have gradually replaced the traditional mass production assembly lines. These assembly lines follow a 'make-to-order' production policy, which are featured with a short production lead time, small number of working stations and highly skilled workers. In order to maximise the throughput under the resource (machine, labour and time) constraints, the problem of minimising makespan with general precedence constraints is addressed in this paper. A mathematical model of the problem is presented and a new heuristic, genetic job-oriented list scheduling (GJLS) is developed. Computational experiments indicate that the proposed algorithm outperforms the existing Graham's list scheduling ...


A Comparative Analysis Of Predictive Data-Mining Techniques, Xueping Li Dec 2008

A Comparative Analysis Of Predictive Data-Mining Techniques, Xueping Li

Xueping Li

It is non-trivial to select the appropriate prediction technique from a variety of existing techniques for a datasets, since the competitive evaluation of techniques (bagging, boosting, stacking and meta-learning) can be time consuming. This paper compares five predictive data mining techniques on four unique datasets that have a combination of the following characteristics: few predictor variables, many predictor variables, highly collinear variables, very redundant variables and the presence of outliers. Different data mining techniques, including multiple linear regression (MLR), principal component regression (PCR), ridge regression, partial least squares (PLS) and non-linear partial least squares (NLPLS), are applied to each of ...


Constraint Programming, John Hooker Dec 2004

Constraint Programming, John Hooker

John Hooker

No abstract provided.


Convex Programming Methods For Global Optimization, John Hooker Dec 2004

Convex Programming Methods For Global Optimization, John Hooker

John Hooker

No abstract provided.


Working Across Cultures, John Hooker Dec 2002

Working Across Cultures, John Hooker

John Hooker

No abstract provided.


Logic, Optimization And Constraint Programming, John Hooker Dec 2001

Logic, Optimization And Constraint Programming, John Hooker

John Hooker

No abstract provided.