- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Assembly Line Balancing Optimization
- Optimization and Search Problems
- Pharmaceutical Practices and Patient Outcomes
- Supply Chain and Inventory Management
- Spreadsheets and End-User Computing
- Optimization and Packing Problems
- Resource-Constrained Project Scheduling
- Advanced MIMO Systems Optimization
- Wireless Communication Networks Research
- Scheduling and Timetabling Solutions
- Optimization and Mathematical Programming
- Advanced Queuing Theory Analysis
- Medical Malpractice and Liability Issues
- Patient Safety and Medication Errors
- Cooperative Communication and Network Coding
- BIM and Construction Integration
- Statistics Education and Methodologies
- Art, Politics, and Modernism
- Operations Management Techniques
- Ethics in medical practice
- Construction Project Management and Performance
- Product Development and Customization
- Constraint Satisfaction and Optimization
Population Health Research Institute
2023
McMaster University
2023
Cleveland Clinic Lerner College of Medicine
2022
Cleveland Clinic
2022
University of Idaho
2022
Amalgamated Sugar (United States)
2020
University of Colorado Boulder
2010-2019
University of Alabama in Huntsville
2019
Dartmouth College
2003-2016
Shenandoah University
2016
(1977). Introduction to Sequencing and Scheduling. Journal of the Operational Research Society: Vol. 28, No. 2, pp. 352-353.
Recent research studies of job shop scheduling have begun to examine the interaction between sequencing priorities and method assigning due-dates. This paper surveys tactical aspects this interaction, focusing primarily on average tardiness as a measure effectiveness. The discussion highlights several factors that can affect performance dispatching rules, such flow allowance, due-date assignment method, use progress milestones. A set simulation experiments illuminates how these interact with...
Economies of scale are fundamental to manufacturing operations. With respect scheduling, this phenomenon manifests itself in efficiencies gained from grouping similar jobs together. This paper reviews the rapidly growing literature on single-machine scheduling models that incorporate benefits job grouping. We focus three basic known as family with item availability, batch and processing. present results introduce new results, we pay special attention key theoretical properties use these...
We examine the effects of component commonality on optimal safety stock levels in a two-product, two-level inventory model. The criterion is to minimize system subject service level constraint. Although our model specialized, its analysis provides insights not available other multilevel models.
Consider a set of tasks that are partially ordered by precedence constraints. A subset is called feasible if, for every task in the subset, all predecessors also subset. The major results (1) method enumerating subsets and (2) assigning to each an easily computed label can be used as physical address storing information about These two permit very compact computer implementation dynamic programming algorithm solving one-machine sequencing problems with This appears much more efficient than...
ABSTRACT An experimental study was designed to investigate the efficiency of decisions obtained from optimizing a finite, multiperiod model and implementing (structure is parallel with “optimizing” above) those on rolling basis. The results suggest that schedules are quite efficient also they point some important design issues in model‐building for production planning.
Abstract We simulate the performance of a simple production system in which due‐dates are set internally. investigate priority rules aimed at minimizing tardiness, emphasizing “modified duedate rule” functions effectively conjunction with internally‐set deadlines and adapts to both tight loose conditions due‐dates. This rule is logical, shows considerable promise for application complex systems.
Abstract This paper introduces a new dispatching rule to job shop scheduling, extending earlier results multi‐machine environment. rule, which uses modified due dates is compared other popular methods over range of date tightnesses at two utilization levels. The for mean tardiness indicate that the operation (MOD) compares very favorably with prominent methods. job's original or its early finish time, whichever larger. For an individual operation, it operation's A comparison job‐based...
We consider the situation of a single item having deterministic, time-varying demand pattern. Production lot sizes, so as to minimize total setup and carrying costs, are be determined subject production capacity restrictions that can vary with time. Two important theorems concerning properties optimal solution exploited in developing tree search algorithm. In addition, other utilized reduce amount necessary. Results extensive tests presented discussed.
We present an overview of basic models and solution algorithms for the lot streaming problem. include with continuous discrete sublot sizes, without intermittent idling machines, consistent variable sublots. also introduce a model limited transporter capacity. First we solutions two then generalize to three machines and, where possible, several machines. synthesize previous research new results.
We describe a purely confidence-based geographic term disambiguation system that crucially relies on the notion of "positive" and "negative" context methods for combining with measures relevance to user's query.
Abstract We describe an experimental study of a single‐machine scheduling model for system that assigns due‐dates to arriving jobs. The average lightness the is assumed be governed by policy constraint, which we link analytically parameters decision rules due‐date assignment. examine use different kinds information in setting due‐dates, and investigate relationship between assignment rule priority dispatching rule. On basis our results identify situations critical effective scheduling,...
We discuss the dynamic programming approach to finding an optimal sequence of a set tasks when are related by precedence restrictions. describe how use this in problems where no explicit relations exist. Computer implementation considerations played important role its development. Computational results indicate that, curse dimensionality can be dispelled, useful procedure for large sequencing problems.
Suppose n jobs are to be processed on a single machine, subject release dates and precedence constraints. The problem is find preemptive schedule which minimizes the maximum job completion cost. We present an O(n 2 ) algorithm for this problem, generalizing previous results of E. L. Lawler.
A simple algorithm is developed for the problem of assigning days off to full-time staff given a cyclic seven-day demand pattern. The formulation assumes that employees are entitled two consecutive each week and objective find minimum size capable meeting requirements. involves only hand calculations, its computing effort predictable.
A rolling schedule is formed by solving a multi-period problem and implementing only the first period's decisions; one period later model updated process repeated. In this paper, we provide general framework for analyzing schedules, examine analytically fundamental quadratic-cost effects of such factors as length planning interval, uncertainty in forecasts, periodicity demand. For quadratic our main result that cost performance improves monotonically horizon lengthened. We also find use...