Engineering Commons^™

A Measurement Tool For Circular Economy Practices: A Case Study In Pallet Supply Chains, Maria Grazia Gnoni, Fabiana Tornese, Brian K. Thorn, Andres L. Carrano, Jennifer A. Pazour

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

A circular economy (CE) is an economic system where products and services are traded in closed loops or ‘cycles’. This work develops a framework for assessing the extent to which product supply chains incorporate circular economy principles, and applies this framework to a specific material handling application, the wooden pallet supply chain. The main decisions affecting circularity and the most common decision alternatives for the wooden pallet supply chain are identified for the Pre-manufacturing, manufacturing, product delivery, customer use, and end-of-life phases. A streamlined life cycle assessment tool is developed for supporting a quick analysis about how the level of …

On The Unique Features And Benefits Of On-Demand Distribution Models, Jennifer A. Pazour, Kaan Unnu

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

To close the gap between current distribution operations and today’s customer expectations, firms need to think differently about how resources are acquired, managed and allocated to fulfill customer requests. Rather than optimize planned resource capacity acquired through ownership or long- term partnerships, this work focuses on a specific supply-side innovation – on-demand distribution platforms. On-demand distribution systems move, store, and fulfill goods by matching autonomous suppliers' resources (warehouse space, fulfillment capacity, truck space, delivery services) to requests on-demand. On-demand warehousing systems can provide resource elasticity by allowing capacity decisions to be made at a finer granularity (at the pallet-level) and …

Synthetic Order Data Generator For Picking Data, Mohammadnaser Ansari, Behnam Rasoolian, Jeffrey S. Smith

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

Sample data are in high demand for testing and benchmarking purposes. Like many other fields, warehousing and specifically order picking process are not exempt from the need for sample data. Sample data are used in order picking pro- cesses as a way of testing new methodologies such as new routing and new storage allocation approaches. Unfortunately, access to real order picking data is limited because of confidentiality and privacy issues which make it difficult to obtain practical results from the new methodologies. On the other hand, order data follows a highly complex and correlated structure that cannot be easily extracted …

Optimization Of A Fast-Pick Area In A Cosmetics Distribution Center, Mario C. Velez-Gallego, Alice E. Smith

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

Fast-pick areas are commonly used in order picking warehouses to improve labor efficiency by concentrating picking activities within a compact area, thus minimizing the distance traveled by the pickers. One problem that must be solved when a fast-pick area is to be implemented is the so-called assignment-allocation problem. This deals with deciding which products should be assigned to the fast-pick area, and how much space should be allocated to these products. This research was motivated by the picking operation of a cosmetics distribution center where several fast-pick areas are in place. A mixed integer linear programming formulation is proposed for …

Service Flow Networks For Functional Design Of Distribution Centers, Michael Schmidt, Detlef Spee, Michael Ten Hompel

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

This work deals with the determination of an approach for concept planning of distribution centers. For this purpose, the "Distribution Center Design Process" is defined. Solution concepts for logistics centers are developed and evaluated in an eight-step process. In particular, it will be focused on formalization of the functional area, which has not been considered scientifically, yet. This results, among other things, in the definition of services and basic transformation properties of handling units. These can be used to create and semantically test service flow networks, which describe the functional sequence and transformations of service objects in distribution centers.

Progress In Autonomous Picking As Demonstrated By The Amazon Robotic Challenge, Dominik Colling, Jonathan Dziedzitz, Kai Furmans, Patric Hopfgarten, Kai Markert

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

The automation of the picking process is a longheld dream in intra-logistics. while the expert judgment in recent years was, that there is no immediate applicability to be expected for applications in areas, where the variety of products is high. However, the recent advances in computer science, mechanical engineering and material handling systems design have moved the field substantially forward. In this article we want to show, how the Amazon Robotic Challenge has driven this development process and how capable the technology is. The Amazon robotic Challenge (ARC) and its increasingly difficult challenges are described first. Then the applied technology …

The Small World Of Material Handling Research, Parag J. Siddique, Kevin Gue, Md Salahuddin Ayuby

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

Using data from 88 journals over an 8 year period, we investigate the relationships among researchers in material handling. We apply social network analysis to measure many attributes of the network, including papers published each year, papers published per author, number of collaborators per author, strength of collaboration between authors, and how influential an author is in the network. We observe that collaboration patterns in material handling follow a scale-free structure in the presence of some hub-like researchers. According to social network theory, these hub researchers facilitate rapid dissemination of knowledge in the network. We conclude that the scientific community …

Modified Design Procedures For Bridge Pile Foundations Subjected To Liquefaction-Induced Lateral Spreading, Arash Khosravifar, Jonathan Nasr

Civil and Environmental Engineering Faculty Publications and Presentations

Effective-stress nonlinear dynamic analyses (NDA) were performed for piles in the liquefiable sloped ground to assess how inertia and liquefaction-induced lateral spreading combine in long- and short-duration motions. A parametric study was performed using input motions from subduction and crustal earthquakes covering a wide range of durations and amplitudes. The NDA results showed that the pile demands increased due to (a) longer duration shakings, and (b) liquefaction-induced lateral spreading compared to nonliquefied conditions. The NDA results were used to evaluate the accuracy of the equivalent static analysis (ESA) recommended by Caltrans/ODOT for estimating pile demands. Finally, the NDA results were …

A Design Methodology To Optimize Supply Chain Network Performance, Dheeraporn Nippaya, J. David Porter

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

Organizations are constantly looking for new ways to reduce costs while still providing high customer service levels to face stringent competitive environments and the ever- increasing market globalization. An alternative these organizations can pursue to respond to these challenges and to gain a competitive differentiation is to optimize their supply chain network (SCN). This research aims to develop an effective SCN design strategy to locate facilities (i.e., plants and distribution centers) and to balance the allocation of customers to these facilities to satisfy capacity limitations and customer demands with minimum total cost and maximum level of service. It is anticipated …

Economic And Performance Analysis Of Dual-Bay Vertical Lift Modules, Fabio Sgarbossa, Martina Calzavara, Alessandro Persona

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

Warehouse picking is one of the most time and cost consuming activities in a warehouse, often requiring the presence of human operators, who travel within the aisles to retrieve the items needed by the customers. Several studies demonstrate that the travelling activity can represent even the 50% of the total picking time, with a subsequent creation of a separate storage and picking area for small objects. In the last years, new solutions for order picking systems have been developed, especially for small items. One of these solutions requires Vertical Lift Modules (VLMs), storage columns with extractable trays. In this paper, …

Collaborative Bots In Distribution Centers, Russell D. Meller, Dima Nazzal, Lisa M. Thomas

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

This research investigates the business case for using autonomous collaborative robots (“bots”) in warehouses. Bots are designed to work collaboratively with human workers in warehouses to fill orders, primarily in e-commerce environments. In order-picking applications, a bot knows the location of every item in the warehouse, and when an item needs to be picked for an order, the bot navigates to that item and waits. Human workers are assigned to patrol specific zones, and when they see a bot waiting, the worker walks to the bot, reads the instructions off the screen, executes the task, and moves on. The bot …

A Performance Calculator For Shuttle-Based Storage And Retrieval System Design, Banu Yetkin Ekren, Anil Akpunar, Tone Lerher

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

In this study, we present an analytical model based tool that can estimate critical performance measures from a pre-defined shuttle-based storage and retrieval system (SBS/RS) design. SBS/RS is relatively a new automated storage and retrieval technology and mostly used for mini-load material handling. In this study, we develop an open queuing network model based tool estimating critical performance measures: the mean travel time of lifts/shuttles, utilization of lifts/shuttles, amount of energy consumption and energy regeneration per transaction, waiting times and number of jobs waiting in queues, etc., from a pre-defined SBS/RS design. By the developed tool, one can evaluate an …

Urban Parcel Logistics Hub And Network Design: The Impact Of Modularity And Hyperconnectivity, Benoit Montreuil, Shannon Buckley, Louis Faugere, Reem Khir, Shahab Derhami

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

This paper examines how exploiting the hyperconnectivity and modularity concepts underpinning the Physical Internet enables the parcel logistics industry to meet the worldwide challenges to efficiently and sustainably offer faster and more precise deliveries across urban agglomerations, notably across the world’s megacities. It emphasizes disruptive transformations of package logistics hubs and networks, such as multi-tier world pixelization, multi-plane parcel logistics web, smart dynamic parcel routing and hub-based consolidation, and modular parcel containerization.

Dynamic Batching For Order Picking In Warehouses, Jelmer Pier Van Der Gaast, Bolor Jargalsaikhan, Kees Jan Roodbergen

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

Dynamic batch picking is characterized by combining product demand from multiple customer orders into one pick tour where new orders are continuously received. Using modern order-picking aids, updated picking instructions can be included in the current pick tours which allows pickers to be re-routed to pick for new orders even when they already started a pick tour. We develop a mathematical model for dynamic batch picking that minimizes the order throughput time of incoming customer orders. In case of new order arrivals, we can quickly re-optimize the model and determine new updated pick tours. This allows for short order throughput …

Application Of Synthetic Informative Minority Over-Sampling (Simo) Algorithm Leveraging Support Vector Machine (Svm) On Small Datasets With Class Imbalance, Akshatha Fakkeriah Kallappanamatt

Dissertations

Developing predictive models for classification problems considering imbalanced datasets is one of the basic difficulties in data mining and decision-analytics. A classifier’s performance will decline dramatically when applied to an imbalanced dataset. Standard classifiers such as logistic regression, Support Vector Machine (SVM) are appropriate for balanced training sets whereas provides suboptimal classification results when used on unbalanced dataset. Performance metric with prediction accuracy encourages a bias towards the majority class, while the rare instances remain unknown though the model contributes a high overall precision. There are chances where minority instances might be treated as noise and vice versa. (Haixiang et …

Development Of Polylactic Acid (Pla)-Based Nanocomposite Films For Smart Food Packaging Applications, Zeyad Albahr

Electronic Theses and Dissertations

Most of current food packaging resources are non-renewable and nonbiodegradable. The use of these materials has resulted in serious environmental issues. In recent years, the recognition of waste disposal problems and their impacts on the environment has risen the demand for packaging manufactured from renewable materials. However, there are some limitations of using biopolymers for food packaging applications. These limitations include unreliable mechanical and barrier properties. These issues may be addressed by combining biopolymers and nanotechnologies. Nanotechnologies are expected to improve the performance of biopolymer-based packaging materials for food packaging applications. Cellulose nanocrystals (CNC) has shown a potential to be …

Localization Of Microcalcification On The Mammogram Using Deep Convolutional Neural Network, Jieun Jhang

Electronic Theses and Dissertations

Breast cancer is the most common cancer in women worldwide, and the mammogram is the most widely used screening technique for breast cancer. To make a diagnosis in the early stage of breast cancer, the appearance of masses and microcalcifications on the mammogram are two crucial indicators. Notably, the early detection of malignant microcalcifications can facilitate the diagnosis and the treatment of breast cancer at the appropriate time. Making an accurate evaluation on microcalcifications is a timeconsuming and challenging task for the radiologists due to the small size and the low contrast of microcalcification. Compared to the background and mammogram …

Methodology For Load Rating Double-Tee Girder Bridges, Sandip Rimal

Electronic Theses and Dissertations

The most common type of bridge on South Dakota (SD) local roads is precast prestressed double-tee (DT) girders. More than 700 DT bridges are currently in-service in SD. Structural detailing, aging, traffic volume, and environmental conditions affect the structural performance, integrity, and capacity of DT bridges. When a bridge is affected by one or more of the aforementioned parameters, the estimation of the bridge safe live loads is necessary to ensure the safety of the traveling public and to prevent excessive bridge damage and collapse. Load rating of damaged bridges is challenging mainly because of a lack of information regarding …

An Approach To Finding Parking Space Using The Csi-Based Wifi Technology, Yunfan Zhang

Electronic Theses and Dissertations

With ever-increasing number of vehicles and shortages of parking spaces, parking has always been a very important issue in transportation. It is necessary to use advanced intelligent technologies to help drivers find parking spaces, quickly. In this thesis, an approach to finding empty spaces in parking lots using the CSI-based WiFi technology is presented. First, the channel state information (CSI) of received WiFi signals is analyzed. The features of CSI data that are strongly correlated with the number of empty slots in parking lots are identified and extracted. A machine learning technique to perform multi-class classification that categorizes the input …

Laboratory Evaluation Of Internal And External Nutrient Removal To Control Algal Bloom In Eutrophic Lakes, Sepideh Sadeghi

Electronic Theses and Dissertations

Eutrophication is one of the most widespread water quality problems in lakes and reservoirs. Frequent cyanobacterial blooms resulting from eutrophication can greatly damage aquatic ecosystems and pose a high risk to human health. Phosphorus (P) and nitrogen (N) are the major causes for eutrophic conditions and can enter to the aquatic ecosystem via different sources. The combination of phosphorus precipitation and sediment capping are promising technologies to minimize internal P loading and control harmful algal blooms in eutrophic lakes. Denitrification bioreactors have emerged as an important edge-of-field treatment technology to reduce nitrate-nitrogen loads from external sources. The objective of this …

Wi-Fi Finger-Printing Based Indoor Localization Using Nano-Scale Unmanned Aerial Vehicles, Appala Narasimha Raju Chekuri

Electronic Theses and Dissertations

Explosive growth in the number of mobile devices like smartphones, tablets, and smartwatches has escalated the demand for localization-based services, spurring development of numerous indoor localization techniques. Especially, widespread deployment of wireless LANs prompted ever increasing interests in WiFi-based indoor localization mechanisms. However, a critical shortcoming of such localization schemes is the intensive time and labor requirements for collecting and building the WiFi fingerprinting database, especially when the system needs to cover a large space. In this thesis, we propose to automate the WiFi fingerprint survey process using a group of nano-scale unmanned aerial vehicles (NAVs). The proposed system significantly …

Simulation Of Different Rib Shapes In Square Channel, Md Sahedul Islam

Electronic Theses and Dissertations

This study investigates heat transfer and pressure drop for rib-roughened square channel without bleed. To optimize the shape of rib, CFD tools were used to model and simulate channel flow with a variety of rib angles and geometries. To validate simulations and determine the turbulence model, experimental results for two-pass channels with ribs at 45˚ angles with BR = 0 and Re = 25,000 was compared. It was found after conducting simulations with different turbulence models that SST turbulence model gave the best results.

A Development Of Travel Time Equation For Overland Flow As Affected By Vegetation, Naga Vara Prasad Ganti

Electronic Theses and Dissertations

In overland flow water research, travel time is a significant parameter used in estimating peak discharge in channels or rivers. Overland flow is assumed to be in turbulent condition to estimate travel time using Manning’s Velocity Equation (MVE). When the flow is in a laminar condition, Grismer’s Laminar Mean Velocity Equation (GLMVE) is applied but fails to consider the roughness parameter. A review of the literature shows numerous equations for overland travel time, but there is no known equation that determines the mean velocity of overland flow under laminar condition with a roughness coefficient or other coefficient related to the …

Engineering Of Hole Transport And Perovskite Absorber Layers To Achieve High Efficiency And Stable Perovskite Solar Cells, Sally Mabrouk

Electronic Theses and Dissertations

Perovskite solar cells (PSCs) offer tremendous potential for simple and low-cost solution-based fabrication with high power conversion efficiency, making it a promising renewable energy source alternative to the most common non-renewable energy sources as fossil fuels. The most widely used perovskite for solar cell applications is methylammonium lead triiodide (CH3NH3PbI3). The two structures for PSC are the regular nip device typically fabricated using Spiro- OMeTAD as a hole transport material (HTM), and the inverted pin device fabricated using PEDOT:PSS as a HTM. They have achieved over 20% power conversion efficiency. However, devices are not reproducible or stable and HTMs are …

Engineering Standards In Highway Design Litigation, Michael Lewyn

Scholarly Works

Highway engineers sometimes believe that if they redesign streets to improve pedestrian safety (for example, by introducing traffic calming techniques) they might be successfully sued for negligent design by motorists. This chapter suggests that in such situations, governments are likely to be protected by discretionary function immunity. In addition, the chapter discusses a variety of technical issues.

Power Loss Comparison Of Dc Side And Ac Side Cascaded Modular Multilevel Inverters, Shahab Sajedi, Malabika Basu, Michael Farrell

Conference papers

High-voltage DC (HVDC) transmission systems

based on voltage source converter technology are increasingly being used for interconnecting power networks and for transporting energy from remote renewable energy sources. Modular multilevel converters (MMCs) are emerging as the technology of choice for future HVDC transmission systems. Several MMC topologies have been introduced for high power applications and among them the AC side and the DC side cascaded topologies have received most interest because of their high efficiency, low switching losses and good modularity. In high power applications, the efficiency of the converter is an important consideration. Hence it is essential converter power …

Assessment Of The Accuracy Of Cable Sheath Fault Location Device And Enhancement Of Its Performance, Niall Kennedy, Joseph Kearney, Tom Looby, Ciaran O'Leary

Conference papers

As power system networks are being constantly upgraded and extended, there is a greater importance in the reliable transmission of electrical power and fault finding techniques, especially for cables installed underground. Damage to a cable’s protective sheath can damage a cables life span and also lead to disruption of system operation and loss of supply. This study includes research into the literature and techniques used to locate these faults accurately. Bridge resistance and volt drop measurement techniques are the main methods used by sheath fault location devices to locate faults accurately. This task is made more difficult because such devices …

Review Of The Effectiveness Of Impulse Testing For The Evaluation Of Cable Insulation Quality And Recommendations For Quality Testing, Adrian Coughlan, Joseph Kearney, Tom Looby

Conference papers

Abstract— This project investigates impulse breakdown testing as a means of determining the as constructed standard of MV power cable. A literature survey is undertaken to elucidate the place of this test in an overall cable test regime and to determine the factors that impact on the performance of the test method. Testing was undertaken on ESB Networks cables to establish if a merit order ranking was feasible based on this test and to determine if the test could detect defects in the inner semiconducting layer. Based on this, conclusions and recommendations are made regarding the overall applicability and usefulness …

Data Driven Prediction Model (Ddpm) For Server Inlet Temperature Prediction In Raised-Floor Data Centers, Raymond Lloyd, Marek Rebow

Conference papers

Data centers account for approx. 1.4% of the world’s electricity consumption, of which up to 50% of that power is dedicated to keeping the actual equipment cool. This represents a huge opportunity to reduce data center energy consumption by tackling the cooling system operations with focus on thermal management. This work presents a novel Data Driven Predictive Model (DDPM) for temperature prediction of server inlet temperatures that utilises high resolution empirical temperature measurements from 52 real-life data centers. A knowledge-base of temperature data and related physical features, created via clustering techniques was used to train a series of artificial neural …

Proportional-Integral And Proportional-Resonant Based Control Strategy For Puc Inverters, Samet Biricik, Hasan Komurcugil

Conference papers

In this paper, a proportional-integral (PI) and proportional-resonant (PR) based control strategy is proposed for packed-U-cell (PUC) inverters. In the conventional PI-PI based control strategy, while the first PI regulates the DC capacitor voltage, the second PI regulates the AC load current. However, it is shown that the second PI cannot guarantee zero tracking error in the load current. The main reason of this comes from the fact that PI controllers are not able to achieve zero tracking error for the AC signals. Also, in an attempt to reduce the tracking error by tuning PI gains distorts the load current. …