Pull-Driven Order Fulfillment In Distribution Centers,
2018
Fortna Inc.
Pull-Driven Order Fulfillment In Distribution Centers, Dima Nazzal, Shankar Shanmugasundaram, Sung Kim, Russell D. Meller
International Material Handling Research Colloquium
Poster 22
Scalable Heuristic For Locating Distribution Centers On Real Road Networks,
2018
Ohio University - Main Campus
Scalable Heuristic For Locating Distribution Centers On Real Road Networks, Saeed Ghanbartehrani, J. David Porter
International Material Handling Research Colloquium
Poster 13
Keynote: The Small World Of Material Handling Rearch,
2018
University of Louisville
Keynote: The Small World Of Material Handling Rearch, Parag J. Siddique, Kevin Gue, Md Salahuddin Ayuby
International Material Handling Research Colloquium
Keynote Address
Panel Session #1: Production Logistics In The Industrie 4.0 Era,
2018
[email protected]
Panel Session #1: Production Logistics In The Industrie 4.0 Era, Kai Furmans, Fabio Sgarbossa, Tone Lerher
International Material Handling Research Colloquium
Panel Session 1
Panelists: Kai Furmans, Fabio Sgarbosse, Tone Lehrer
Moderator: David Porter
Deployment Of An Distributed Strategic Material Flow Control For Automated Material Flow Systems Consisting Of Autonomous Modules,
2018
Technische Universitaet Muenchen
Deployment Of An Distributed Strategic Material Flow Control For Automated Material Flow Systems Consisting Of Autonomous Modules, Christian Lieberoth-Leden, Johannes Fottner
International Material Handling Research Colloquium
Poster 10
Managing The Order Picking Process In For Click And Collect In Grocery Stores,
2018
Ohio University - Main Campus
Managing The Order Picking Process In For Click And Collect In Grocery Stores, Dale T. Masel, Akhilesh Mesa
International Material Handling Research Colloquium
Poster 14
Improving The Environmental Sustainability Of Pallet Logistics Through Preemptive Remanufacturing: An Integer Linear Optimization Model,
2018
University of Salento
Improving The Environmental Sustainability Of Pallet Logistics Through Preemptive Remanufacturing: An Integer Linear Optimization Model, Fabiana Tornese, Jennifer A. Pazour, Andres L. Carrano, Brian K. Thorn
International Material Handling Research Colloquium
Poster 2
Differences In The Throughput Performance Of The Warehouse Depending On The Quality Of The Calculation Parameters,
2018
University of Pardubice
Differences In The Throughput Performance Of The Warehouse Depending On The Quality Of The Calculation Parameters, David Sourek
International Material Handling Research Colloquium
Poster 25
Impact Of Automonous Delivery And Last-Mile Logistics,
2018
North Carolina State University
Impact Of Automonous Delivery And Last-Mile Logistics, Michael G. Kay, Peerapol Sittivijan, Bhagyalakshmi V. Shrikrishna, Bharat Kulkarni
International Material Handling Research Colloquium
Poster 19
A Practical Collaborative Material Handling Strategy For Cross-Docks,
2018
University of Puerto Rico - Mayaguez
A Practical Collaborative Material Handling Strategy For Cross-Docks, Hector J. Carlo, Stephanie Santiago-Montano
International Material Handling Research Colloquium
Poster 8
Economic And Performance Analysis Of Dual-Bay Vertical Lift Modules,
2018
University of Padova
Economic And Performance Analysis Of Dual-Bay Vertical Lift Modules, Fabio Sgarbossa, Martina Calzavara, Alessandro Persona
International Material Handling Research Colloquium
Poster 3
A Motion Capture System Framework For The Study Of Human Manufacturing Repetitive Motion,
2018
Texas State University
A Motion Capture System Framework For The Study Of Human Manufacturing Repetitive Motion, Jesus Jimenez, Francis Mendez, David Wierschem
International Material Handling Research Colloquium
Poster 21
15th International Material Handling Research Colloquium Program,
2018
Georgia Southern University
15th International Material Handling Research Colloquium Program, College Industry Council On Material Handling Education, Mhi
International Material Handling Research Colloquium
Official Conference Program
An Optimal Airline Revenue Management Seat Pricing Plan Model,
2018
Embry-Riddle Aeronautical University - Worldwide
An Optimal Airline Revenue Management Seat Pricing Plan Model, Constantine M. Koursaris, James W. Marion Jr.
International Journal of Aviation, Aeronautics, and Aerospace
The goal of an airline is to sell tickets at the highest fare possible, thus yielding maximum profit for the stakeholders. As airline seat pricing is divided into different fare classes, a revenue management system is created and maintained to identify opportunity costs where the airline may sell an optimum number of available seats in both discounted fare and full fare classes. Ideally, under perfect conditions, the airline will sell all available seats at full capacity for each leg of a trip. Under non-ideal conditions for the airline, not all available seats may sell at either full fare or discounted …
A Representation Of Tactical And Strategic Precursors Of Supply Network Resilience Using Simulation Based Experiments,
2018
Old Dominion University
A Representation Of Tactical And Strategic Precursors Of Supply Network Resilience Using Simulation Based Experiments, Yaneth C. Correa-Martinez
Engineering Management & Systems Engineering Theses & Dissertations
Modern supply chains are becoming increasingly complex and are exposed to higher levels of risk. Globalization, market uncertainty, mass customization, technological and innovation forces, among other factors, make supply networks more susceptible to disruptions (both those that are man-made and/or ones associated with natural events) that leave suppliers unavailable, shut-down facilities and entail lost capacity.
Whereas several models for disruption management exist, there is a need for operational representations of concepts such as resilience that expand the practitioners’ understanding of the behavior of their supply chains. These representations must include not only specific characteristics of the firm’s supply network but …
Sequence-Based Simulation-Optimization Framework With Application To Port Operations At Multimodal Container Terminals,
2018
Old Dominion University
Sequence-Based Simulation-Optimization Framework With Application To Port Operations At Multimodal Container Terminals, Mariam Aladdin Kotachi
Engineering Management & Systems Engineering Theses & Dissertations
It is evident in previous works that operations research and mathematical algorithms can provide optimal or near-optimal solutions, whereas simulation models can aid in predicting and studying the behavior of systems over time and monitor performance under stochastic and uncertain circumstances. Given the intensive computational effort that simulation optimization methods impose, especially for large and complex systems like container terminals, a favorable approach is to reduce the search space to decrease the amount of computation.
A maritime port can consist of multiple terminals with specific functionalities and specialized equipment. A container terminal is one of several facilities in a port …
Fundamental Tradeoffs In Estimation Of Finite-State Hidden Markov Models,
2018
University of Nevada, Las Vegas
Fundamental Tradeoffs In Estimation Of Finite-State Hidden Markov Models, Justin Le
UNLV Theses, Dissertations, Professional Papers, and Capstones
Hidden Markov models (HMMs) constitute a broad and flexible class of statistical models that are widely used in studying processes that evolve over time and are only observable through the collection of noisy data. Two problems are essential to the use of HMMs: state estimation and parameter estimation. In state estimation, an algorithm estimates the sequence of states of the process that most likely generated a certain sequence of observations in the data. In parameter estimation, an algorithm computes the probability distributions that govern the time-evolution of states and the sampling of data. Although algorithms for the two problems are …
Essays On Applications Of Transportation Network Design And Optimization,
2018
University of Arkansas, Fayetteville
Essays On Applications Of Transportation Network Design And Optimization, Amirali Ghaharikermani
Graduate Theses and Dissertations
In this dissertation, we address different transportation problems. The three main outcomes are: designing a battery swap station network, studying gaps in Empty Container Management literature, designing a model with similar characteristics to the vehicle routing problem as well as implementation scenario for it to be applied for a real-world case.
For the designed battery swap station, a model is developed for customer demand satisfaction that permits construction of different types of BSS in the planning network. Our solution methodology is a Tabu Search algorithm combined with a dynamic programming initialization. Numerous tests showed that the proposed TS approach provides …
Quantitative Methods For Select Problems In Facility Location And Facility Logistics,
2018
University of Arkansas, Fayetteville
Quantitative Methods For Select Problems In Facility Location And Facility Logistics, Bin Li
Graduate Theses and Dissertations
This dissertation presented three logistics problems. The first problem is a parallel machine scheduling problems that considers multiple unique characteristics including release dates, due dates, limited machine availability and job splitting. The objective of is to minimize the total amount of time required to complete work. A mixed integer programming model is presented and a heuristic is developed for solving the problem. The second problem extends the first parallel scheduling problem to include two additional practical considerations. The first is a setup time that occurs when warehouse staff change from one type of task to another. The second is a …
Optimal Allocation Of Resources In Reliability Growth,
2018
University of Arkansas, Fayetteville
Optimal Allocation Of Resources In Reliability Growth, Mohammadhossein Heydari
Graduate Theses and Dissertations
Reliability growth testing seeks to identify and remove failure modes in order to improve system reliability. This dissertation centers around the resource allocation across the components of a multi-component system to maximize system reliability. We summarize this dissertation’s contributions to optimal resource allocation in reliability growth.
Chapter 2 seeks to deploy limited testing resources across the components of a series-parallel system in effort to maximize system reliability under the assumption that each component’s reliability exhibits growth according to an AMSAA model with known parameters. An optimization model for this problem is developed and then extended to consider the allocation of …
