Operations Research, Systems Engineering and Industrial Engineering Commons^™

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 …

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 …

Anomaly Inference Based On Heterogeneous Data Sources In An Electrical Distribution System, Yachen Tang

Dissertations, Master's Theses and Master's Reports

Harnessing the heterogeneous data sets would improve system observability. While the current metering infrastructure in distribution network has been utilized for the operational purpose to tackle abnormal events, such as weather-related disturbance, the new normal we face today can be at a greater magnitude. Strengthening the inter-dependencies as well as incorporating new crowd-sourced information can enhance operational aspects such as system reconfigurability under extreme conditions. Such resilience is crucial to the recovery of any catastrophic events. In this dissertation, it is focused on the anomaly of potential foul play within an electrical distribution system, both primary and secondary networks as …

Location Optimization Of A Coal Power Plant To Balance Coal Supply And Electric Transmission Costs Against Plant’S Emission Exposure, Najam Khan

Electronic Theses and Dissertations

This research is focused on developing a location analysis methodology that can minimize the pollutant exposure to the public while ensuring that the combined costs of electric transmission losses and coal logistics are minimized. Coal power plants will provide a critical contribution towards meeting electricity demands for various nations in the foreseeable future. The site selection for a new coal power plant is extremely important from an investment point of view. The operational costs for running a coal power plant can be minimized by a combined emphasis on placing a coal power plant near coal mines as well as customers. …

Influential Factors In Consumer's Adoption Of Innovative Products, Mahdokht Kalantari

Wayne State University Dissertations

This dissertation addresses the challenges involved with the process of diffusion of innovations in the contexts of innovative educational materials and technological innovations.

Chapters 2 and 3 discuss building and using Online Brand Communities (OBCs) to disseminate innovative math educational materials. OBCs are known to be important platforms where consumers can communicate with the brand as well as other consumers. Through the effective use of these platforms, brands could accelerate the process of diffusion of their innovations. However, OBCs will not survive if consumers do not get engaged and participate in these communities. The purpose of this section of the …

The Impact Of Machine Learning Algorithms On Benchmarking Process In Healthcare Service Delivery, Egbe-Etu Emmanuel Etu

Wayne State University Theses

Currently, organizations have adopted and implemented a variety of innovative quality management philosophies, approaches, and techniques to stay competitive in an ever-changing global economy. Benchmarking is one of such techniques deployed by organizations to stay competitive. The motivation for this research stems from a real-world problem being faced by hospitals in the healthcare industry who have amassed a ton of data and want to embark on benchmarking project to assess the performance of the emergency departments due to challenges faced with poor management of operations which has led to high patient boarding rates, high patient wait-times, poor quality service, low …

Differences In The Throughput Performance Of The Warehouse Depending On The Quality Of The Calculation Parameters, David Sourek

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

This article explores the quality level of the parameters that are used to determine the throughput performance of the warehouse. In our model case, this is a rack warehouse where the storage and picking of goods is ensured by forklifts. All kind of goods are stored on pallets. The aim of our research is to assess to what extent the quality level (accuracy) of the description of warehouse processes influences the accuracy of the determination of the throughput performance of the warehouse. In the first part of the article, we defined the parameters and the ways in which different levels …

การปรับปรุงประสิทธิภาพการทำงานของโรงไฟฟ้าพลังงานแสงอาทิตย์โดยใช้การบำรุงรักษาเชิงรุก, มธุรส มิ่งมงคล

Chulalongkorn University Theses and Dissertations (Chula ETD)

แม้ว่ามีดำเนินงานการบำรุงรักษาเชิงป้องกันในโรงไฟฟ้าพลังงานแสงอาทิตย์แต่ยังคงมีการขัดข้องของเครื่องจักรต่างๆ โรงงานไฟฟ้าพลังงานแสงอาทิตย์ที่เป็นกรณีศึกษานี้ได้กำหนดค่าเป้าหมายความพร้อมของเครื่องจักรไว้สูงกว่า 99.25% เมื่อเวลาผ่านไปพบว่าค่าความพร้อมใช้งานมีแนวโน้มต่ำลง แม้ว่าก่อนการปรับปรุงมีค่าความพร้อมใช้งานเฉลี่ย 99.43% ส่วนเบี่ยงเบนมาตรฐานมีค่าสูงถึง 1.20% แสดงให้เห็นว่า การบำรุงรักษาเชิงป้องกันที่มีอยู่นั้นอาจไม่เพียงพอที่จะจัดการปัญหานี้ได้ งานวิจัยนี้จึงได้นำการบำรุงรักษาเชิงรุกมาเป็นกลยุทธ์ในการปรับปรุงค่าความพร้อมการใช้งานของเครื่องจักร มีการวิเคราะห์ผลกระทบของความเสียหาย โอกาสเกิดและความรุนแรง และมีการหาสาเหตุที่ทำให้เครื่องจักรเสีย หลังจากนั้นได้ทำการปรับปรุงแผนการบำรุงรักษาเชิงป้องกันและสร้างแผนการบำรุงรักษาเชิงพยากรณ์ หลังจากที่ดำเนินการตามแผนงานพบว่าสามารถทำให้ค่าความพร้อมใช้งานเพิ่มขึ้นเฉลี่ยเป็น 99.69% ส่วนเบี่ยงเบนมาตรฐานเป็น 0.41% เวลาเฉลี่ยในการขัดข้องของเครื่องจักรลดลง 63.90% จำนวนครั้งที่เกิดการขัดข้องลดลง 40.28% และกำลังการผลิตที่สูญเสียลดลงได้ 28.44%

การวิเคราะห์วอเตอร์ฟุตพรินต์ในกระบวนการผลิตเบนซีนและพาราไซลีน, เรืองรัตน์ เรืองเดช

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยฉบับนี้เป็นการวิเคราะห์ผลกระทบจากการใช้น้ำ ของกระบวนการผลิตเบนซีนและพาราไซลีน ทั้งการใช้น้ำทางตรงและทางอ้อม การใช้น้ำทางตรงประกอบไปด้วยการใช้น้ำในกระบวนการผลิตซึ่งสามารถวัดได้โดยตรงจากข้อมูลของโรงงาน และการใช้น้ำทางอ้อมประกอบไปด้วยการใช้น้ำในส่วนของการได้มาซึ่งวัตถุดิบ การใช้ไฟฟ้า การผลิตไอน้ำ การผลิตไนโตรเจน รวมถึงการใช้น้ำในกระบวนการขนส่ง ซึ่งโรงงานไม่สามารถวัดโดยตรงได้ต้องมีการเก็บข้อมูลจากแหล่งอ้างอิงอื่นๆที่เชื่อถือได้ วิธีการประเมินผลกระทบการใช้น้ำที่ใช้ในงานวิจัยฉบับนี้ใช้วิธีวอเตอร์ฟุตพรินต์ซึ่งเป็นวิธีที่ทำให้ทราบผลกระทบจากการใช้น้ำที่แท้จริงตลอดวัฏจักรชีวิตของผลิตภัณฑ์ โดยอ้างอิงวิธีการประเมินตามข้อกำหนดและแนวทางของ ISO 14046 ผลลัพธ์จากการประเมินพบว่าผลิตภัณฑ์เบนซีนและพาราไซลีน มีค่าวอเตอร์ฟุตพรินต์ซึ่งวัดผลกระทบในแง่ของการขาดแคลนน้ำ(Water Scarcity Footprint,WSF) ต่อ 1 กิโลกรัมเท่ากับ 0.613 LiterH2Oeq และ 1.432 LiterH2Oeq ตามลำดับ โดยทั้งเบนซีนและพาราไซลีนมีค่า WSF สูงสุดจากการใช้น้ำทางอ้อม ซึ่งมีค่าสูงในการใช้ไฟฟ้าและการได้มาซึ่งคอนเดนเสท และรองลงมาคือ WSF จากการใช้น้ำทางตรงซึ่งมีค่า WSF สูงในส่วนของการระเหยของน้ำในระบบหล่อเย็น แต่เนื่องการลดผลกระทบจากการใช้น้ำจะมีความเป็นไปได้ในการลดจากใช้น้ำทางตรงมากกว่าทางอ้อม เพราะสามารถควบคุมได้โดยตรงจากโรงงานถึงแม้ว่าอาจจะทำให้ผลกระทบลดลงได้ไม่มากก็ตาม จึงเสนอการนำมาตรการในการลดการใช้น้ำทางตรงร่วมด้วย โดยแบ่งมาตรการเป็น 2 ส่วนคือการลดผลกระทบที่เกิดจากการใช้น้ำทางตรง และการลดผลกระทบจากการใช้น้ำทางอ้อม เพื่อให้กระบวนการผลิตเบนซีนและพาราไซลีนเกิดการใช้น้ำอย่างมีประสิทธิภาพสูงสุด

An Engineering Analytics Based Framework For Computational Advertising Systems, Mengmeng Chen

Electronic Theses and Dissertations

Engineering analytics is a multifaceted landscape with a diversity of analytics tools which comes from emerging fields such as big data, machine learning, and traditional operations research. Industrial engineering is capable to optimize complex process and systems using engineering analytics elements and the traditional components such as total quality management. This dissertation has proven that industrial engineering using engineering analytics can optimize the emerging area of Computational Advertising. The key was to know the different fields very well and do the right selection. However, people first need to understand and be experts in the flow of the complex application of …

The Design, Test And Evaluation Of A Sensing System For Process Analytical Technology (Pat), Trevor Murphy

Theses

Increased globalisation and competitiveness has given rise to a more dynamic and diverse global market that has begun to place incredible strain on manufacturing supply chains. Conventional manufacturing methods such as the batch manufacturing methods employed largely by the materials processing industries i.e. pharmaceuticals, polymers and magnesium processing plants are ill-suited to cope with the demands of today. As products evolve with technological advancements they become more complex to produce and require alternative approaches to manufacturing to ensure product quality while reducing costs and increasing manufacturing efficiencies.

A potential solution to the growing demands on today's supply chain is process …

Regression Analysis Of Factors Impacting Problem Solving Engagement Within Lean Systems Implementation, David M. Parsley Ii

Theses and Dissertations--Mechanical and Aerospace Engineering

Organizations around the world have attempted to implement the concepts of the Toyota Production System (TPS), commonly referred to as Lean, with limited sustainable success. The central principles of TPS, continuous improvement and respect for people, are grounded in the Japanese values of Monozukuri and Hitozukuri. Monozukuri deals with creating or making a product, while Hitozukuri conveys the idea of developing people through learning. In order for organizations to adopt these values they must have a system that engages employees at all levels in applying problem solving to improve their work. This research uses organizational assessments obtained from a variety …

A Methodology On Weapon Combat Effectiveness Analytics Using Big Data And Live, Virtual, Or/And Constructive Simulations, Won Jung Ii

Electronic Theses and Dissertations

The Weapon Combat Effectiveness (WCE) analytics is very expensive, time-consuming, and dangerous in the real world because we have to create data from the real operations with a lot of people and weapons in the actual environment. The Modeling and Simulation (M&S) of many techniques is used for overcoming these limitations. Although the era of big data has emerged and achieved a great deal of success in a variety of fields, most WCE research using the Defense Modeling and Simulation (DM&S) techniques were studied without the help of big data technologies and techniques. The existing research has not considered various …

Comparative Analysis Of The Effects Of Virtual Reality Active Video Game And Controller-Free Active Video Game Play On Physiological Response, Perceived Exertion, And Hedonic Experience, Shanon Wooden

Electronic Theses and Dissertations

Over 60% of US adults are overweight or obese. Sedentary lifestyles are considered major contributors to the high rates and increasing prevalence of obesity. Physical activity is a critical component in shifting from sedentary lifestyles. Studies indicate that less than half of U.S. adults meet the CDC/ACSM physical activity recommendations. Interactive video games can increase PA, but no study has yet assessed physiologic effort, hedonics, and perceived exertion for playing immersive virtual reality (VR) and controller-free screen-based active video games (AVGs), compared to treadmill walking and resting. We ran 25 subjects (9 female, 16 male) in 10-minute sessions of five …

A Framework For Prioritizing Opportunities Of Improvement In The Context Of Business Excellence Model In Healthcare Organization, Alia Aldarmaki

Electronic Theses and Dissertations

In today's world, the healthcare sector is facing challenges to improve the efficiency and effectiveness of its operations. More and more improvement projects are being adopted to enhance healthcare services, making it more patient-centric, and enabling better cost control. Healthcare organizations strive to identify and carry out such improvement initiatives to sustain their businesses and gain competitive advantage. Seeking to reach a higher operational level of excellence, healthcare organizations utilize business excellence criteria to conduct assessment and identify organizational strengths and weaknesses. However, while such assessments routinely identify numerous areas for potential improvement, it is not feasible to conduct all …

Effects Of Motion Segment Simulation And Joint Positioning On Spinal Loads In Trunk Musculoskeletal Models, F. Ghezelbash, A. H. Eskandari, A. Shirazi-Adl, N. Arjmand, Z. El Ouaaid, A. Plamondon

Études primaires

Musculoskeletal models represent spinal motion segments by spherical joints/beams with linear/nonlinear properties placed at various locations. We investigated the fidelity of these simplified models (i.e., spherical joints with/without rotational springs and beams considering nonlinear/linear properties) in predicting kinematics of the ligamentous spine in comparison with a detailed finite element (FE) model while considering various anterior-posterior joint placements. Using the simplified models with different joint offsets in a subject-specific musculoskeletal model, we computed local spinal forces during forward flexion and compared results with intradiscal pressure measurements. In comparison to the detailed FE model, linearized beam and spherical joint models failed to …

Technology Foresight: A Bibliometric Analysis To Identify Leading And Emerging Methods, Elizabeth Gibson, Tugrul U. Daim, Edwin Garces, Marina Dabic

Engineering and Technology Management Faculty Publications and Presentations

Foresight studies provide essential information used by the government, industry and academia for technology planning and knowledge expansion. They are complicated, resource-intensive, and quite expensive. The approach, methods, and techniques must be carefully identified and selected. Despite the global importance of foresight activities, there are no frameworks to help one develop and plan a proper foresight study. This paper begins Keywords: technology foresight; strategic foresight; adaptive foresight; Social Network Analysis (SNA); bibliometric tools; data mining; text mining. to close this gap by analyzing and comparing different schools of thought and updating the literature with the most current tools and methods. …

Uas Pilots Code – Annotated Version 1.0, Michael S. Baum, Kristine Kiernan, Donald W. Steinman, Ryan J. Wallace Ed.D.

Publications

The UAS PILOTS CODE (UASPC) offers recommendations to advance flight safety, ground safety, airmanship, and professionalism.6 It presents a vision of excellence for UAS pilots and operators, and includes general guidance for all types of UAS. The UASPC offers broad guidance—a set of values—to help a pilot interpret and apply standards and regulations, and to confront real world challenges to avoid incidents and accidents. It is designed to help UAS pilots develop standard operating procedures (SOPs), effective risk management,7 safety management systems (SMS), and to encourage UAS pilots to consider themselves aviators and participants in the broader aviation community.

Analyzing Sensor Based Human Activity Data Using Time Series Segmentation To Determine Sleep Duration, Yogesh Deepak Lad

Masters Theses

"Sleep is the most important thing to rest our brain and body. A lack of sleep has adverse effects on overall personal health and may lead to a variety of health disorders. According to Data from the Center for disease control and prevention in the United States of America, there is a formidable increase in the number of people suffering from sleep disorders like insomnia, sleep apnea, hypersomnia and many more. Sleep disorders can be avoided by assessing an individual's activity over a period of time to determine the sleep pattern and duration. The sleep pattern and duration can be …

The Effect Of Task Load, Automation Reliability, And Environment Complexity On Uav Supervisory Control Performance, Sarah M. Sherwood

Doctoral Dissertations and Master's Theses

Over the last decade, military unmanned aerial vehicles (UAVs) have experienced exponential growth and now comprise over 40% of military aircraft. However, since most military UAVs require multiple operators (usually an air vehicle operator, payload operator, and mission commander), the proliferation of UAVs has created a manpower burden within the U.S. military. Fortunately, simultaneous advances in UAV automation have enabled a switch from direct control to supervisory control; future UAV operators will no longer directly control a single UAV subsystem but, rather, will control multiple advanced, highly autonomous UAVs. However, research is needed to better understand operator performance in a …

Semi-Transparent Energy-Harvesting Solar Concentrator Windows Employing Infrared Transmission-Enhanced Glass And Large-Area Microstructured Diffractive Elements, Mikhail Vasiliev, Kamal Alameh, Mohsin Badshah, Seok-Min Kim, Mohammad Alam

Research outputs 2014 to 2021

We report on the study of energy-harvesting performance in medium-size (400 cm²) glass-based semitransparent solar concentrators employing edge-mounted photovoltaic modules. Systems using several different types of glazing system architecture and containing embedded diffractive structures are prepared and characterized. The technological approaches to the rapid manufacture of large-area diffractive elements suitable for use in solar window-type concentrators are described. These elements enable the internal deflection and partial trapping of light inside glass-based concentrator windows. We focus on uncovering the potential of pattern-transfer polymer-based soft lithography for enabling both the improved photon collection probability at solar cell surfaces, and the …

Reflections On Teaching System Dynamics Modeling To Secondary School Students For Over 20 Years, Diana Fisher

Complex Systems Faculty Publications and Presentations

This paper contains the description of a successful system dynamics (SD) modeling approach used for almost a quarter-century in secondary schools, both in algebra classes and in a year-long SD modeling course. Secondary school students have demonstrated an ability to build original models from the news, write technical papers explaining their models, and present a newfound understanding of dynamic feedback behavior to an audience. The educational learning theory and instructional methods used for both the algebra and modeling courses are detailed, with examples. Successful student SD modeling experiences suggest the SD approach can expand the sophistication of topics that secondary …

Analyzing Factors Affecting Patient Satisfaction Using The Kano Model, Tejaswi Materla

Doctoral Dissertations

"Customer needs associated with the healthcare sector are constantly evolving with the technological advancements, rising costs, and shifts in patient demographics. Challenges associated with understanding patient needs impact the quality of care and life, safety, and satisfaction. The objective of this research was to develop a methodology to collect and analyze the needs associated with healthcare units that differ based on the type of care and services and patient perceptions over time. The proposed methodology provides insights into the voice of the customer through visualization of the relationship between the performance of quality attributes and customer satisfaction. Cronbach's alpha is …

An Investigation Of The Economic Order Quantity Model With Quantity Discounts Under An Environmental Objective, Tiffanie Marie Toles

Masters Theses

"In a sustainable supply chain, retailers are the direct link between customers and products. Retailers play an important role by relaying feedback such as customer satisfaction, inventory improvement, or product improvement to the other key players in a supply chain. Their overall goal is to reduce supply chain costs, such as the cost of ordering product, transporting product, or holding product in inventory. Other costs associated in a supply chain can include environmental and operations costs. It is important to consider these costs due to the impact environmental operations play in the role of how sustainable a supply chain can …