A5031603454- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Optimization and Packing Problems
- Assembly Line Balancing Optimization
- Supply Chain and Inventory Management
- Vehicle Routing Optimization Methods
- Manufacturing Process and Optimization
- Optimization and Search Problems
- Sustainable Supply Chain Management
- Quality and Supply Management
- Optimal Power Flow Distribution
- Transportation and Mobility Innovations
- Microgrid Control and Optimization
- Supply Chain Resilience and Risk Management
- Facility Location and Emergency Management
- Simulation Techniques and Applications
- Urban and Freight Transport Logistics
- Pharmaceutical Practices and Patient Outcomes
- Optimization and Mathematical Programming
- Infrastructure Resilience and Vulnerability Analysis
- Advanced Queuing Theory Analysis
- Smart Grid Energy Management
- Smart Parking Systems Research
- Flexible and Reconfigurable Manufacturing Systems
- Risk and Portfolio Optimization
Amazon (United States)
2024
University of Pittsburgh
2020-2023
Clemson University
2014-2023
University of Arkansas at Fayetteville
2003-2020
Oklahoma State University
2020
Universidad Centroamericana José Simeón Cañas
2020
Oklahoma State University Oklahoma City
2020
University of Pittsburgh Medical Center
2019
Queen's University
2017
Australian Regenerative Medicine Institute
2013
While logistics research recently has placed increased focus on disruption management, few studies have examined the response and recovery phases in post-disaster operations. We present a multiple objective, integrated network optimisation model for making strategic decisions supply distribution restoration of humanitarian Our provides an equity-based solution constrained capacity, budget resource problems management. conduct designed experiments this NP-hard problem to analyse important...
This special issue has been inspired by recent tracks and sessions on Supply Network Dynamics, Control Disruption Management organised at a number of conferences:• 14thIFAC Symposium Informa...
The highly competitive electronics manufacturing marketplace demands that suppliers provide low‐cost, high‐quality products to their customers in a timely fashion. Shortened product life cycles and increasingly global competition have caused traditional manufacturers focus on company core competencies, such as design development, choosing outsource the actual of contract manufacturers. Although decision can both positive adverse effects key areas supply chain, one effect is manufacturer’s...
Abstract The state-of-the-art in published research on workload control as applied to the semiconductor industry is described. focus examining concepts behind heuristics and evaluating their effectiveness, overhead requirements, implementability. Individual sections provide an overview of distinctive elements a manufacturing environment, general dispatching order release methods, strategies developed for manufacturing, future directions. Keywords: Workload ControlSemiconductor...
Due to increased competition, semiconductor manufacturing has received considerable research attention over the last few decades. As a result, several optimisation and heuristic solution procedures are available solve variety of operational planning control problems arising in wafer manufacturing. This paper provides glimpse into evolution production possible approaches for their solution. It briefly introduces current being solved taken them (optimally or approximately). The concludes with...
Over the past century electric power industry has evolved to support delivery of over long distances with highly interconnected transmission systems. Despite this evolution, some remote communities are not connected these These rely on small, disconnected distribution systems, i.e., microgrids deliver power. However, as often held same reliability standards grids, can be at risk for extended blackouts. To address issue, we develop an optimization model and algorithm capacity planning...
This paper is motivated by a power system with one main grid (arbiter) and multiple microgrids (MGs) (agents). The MGs are equipped to control their local generation demands in the presence of uncertain renewable heterogeneous energy management settings. We propose an extension classical two-stage stochastic programming model capture these interactions modeling arbiter's problem as first-stage master agent decision problems second-stage subproblems. To tackle this formulation, we sequential...
Introduction Bone marrow-derived multipotent adult progenitor cells (MAPCs) are allogeneic adherent stem currently investigated clinically for use in acute respiratory distress syndrome (ARDS). To date, there is no agreement on which the best method delivery ARDS. Here, we compared efficacy of two different methods administration and biodistribution MAPC treatment ARDS a sheep model. Methods were labelled with [ 18 F] fluoro-29-deoxy-D-glucose delivered by endobronchial (EB) or intravenous...
Humanitarian logistics research has recently received tremendous interest from researchers and practitioners due to its importance in assisting relief operations. While there is an increasing trend for mathematical models related preparedness response phases disaster operations management, recovery-phase are not as emphasised other scarce data model complication NP-hard nature of the models. One particular approach that can provide a sufficiently good solution problems metaheuristic...
Abstract We study the problem of minimising total weighted tardiness and distribution costs in an integrated production environment. Orders are received by a manufacturer, processed on single line, delivered to customers capacitated vehicles. Each order (job) is associated with customer, weight (priority), processing time, due size (volume or storage space required transportation unit). A mathematical model presented which number linear combinations objectives used aggregate both into...
A paint manufacturing firm's customers typically place orders for two or more products simultaneously. Each product belongs to a family that denotes batching compatibility during manufacturing. Further, can be split into several sublots allow overlapping production in two-stage hybrid flow shop wherein various identical, capacitated machines operate parallel at each stage. We present mixed-integer linear program (MILP) this integrated and lot streaming problem with variable sublots,...
Since the alternating current optimal power flow (ACOPF) problem was introduced in 1962, developing efficient solution algorithms for has been an active field of research. In recent years, there increasing interest convex relaxations-based approaches that are often tight practice. Based on these approaches, we develop piecewise relaxations with convex-hull representations, adaptive, multivariate partitioning algorithm bound tightening progressively improves and, given sufficient time,...
Abstract Production scheduling is a complex task in most real manufacturing settings and semiconductor no exception. Fabricating integrated circuits on silicon wafers arguably one of the expensive processes existence. As technology demands increase, business becomes more difficult. Pressing due dates massive late penalties, coupled with increased demand, require manufacturers to control their wafer fabrication facilities (wafer fabs) efficiently. Although techniques often provide needed...