Industrial Engineering Commons^™

ระบบสนับสนุนการจัดตารางและควบคุมการผลิต สำหรับผู้ผลิตชิ้นส่วนอุปกรณ์ทางการแพทย์, อัจฉราพร เพชรเก่า

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้ได้พัฒนาระบบสนับสนุนการจัดตารางและควบคุมการผลิตสำหรับกระบวนการผลิตเป็นแบบเครื่องจักรเดี่ยว โดยมีเวลาในการปรับตั้งเครื่องจักรขึ้นอยู่กับลำดับงานก่อนหน้า ซึ่งมีวัตถุประสงค์เพื่อลดเวลาในการปรับตั้งเครื่องจักรโดยที่ยังคงสามารถตอบสนองต่อความต้องการของลูกค้าได้ทันระยะเวลาการส่งมอบ รวมถึงช่วยควบคุมการผลิต ซึ่งงานวิจัยนี้เริ่มต้นตั้งแต่การศึกษาและรวบรวมข้อมูลลักษณะสินค้า เงื่อนไขการผลิต รวมถึงขั้นตอนการดำเนินกิจกรรมบนพื้นที่การผลิต จากนั้นทำการศึกษาวิธีการฮิวริสติกและออกแบบวิธีการวางแผนการผลิตเพื่อให้สอดคล้องกับวัตถุประสงค์ที่ต้องการ ซึ่งงานวิจัยนี้ได้นำเสนอหลักการฮิวริสติกมาใช้ในการวางแผนการผลิต โดยประยุกต์จากกฎการจ่ายงานต่างๆ ระหว่าง EDD (Earliest Due Date), SPT (Shortest Processing Time) และ CUC (Closet Unvisited City) จากนั้นทำการออกแบบและพัฒนาระบบที่ช่วยสนับสนุนการจัดตารางและควบคุมการผลิตรวมถึงระบบฐานข้อมูล ซึ่งประกอบด้วย 5 ส่วนคือ 1) การป้อนข้อมูลความต้องการสินค้าเข้าสู่ระบบ 2) การจัดตารางการผลิต 3) การส่งงานเข้าสู่การผลิต 4) การติดตามการผลิต และ 5) การปิดคำสั่งการผลิต ขั้นตอนถัดมาคือทำการทดสอบและประเมินผลวิธีการวางแผนการผลิตที่นำเสนอและระบบที่พัฒนาขึ้น ซึ่งผลของการประเมินในด้านประสิทธิผลของระบบ โดยทำการเปรียบเทียบผลรวมของเวลาในการปรับตั้งเครื่องจักรด้วยวิธีการวางแผนในปัจจุบันกับวิธีการวางแผนการผลิตที่นำเสนอ โดยใช้ข้อมูลในอดีตของงานที่ต้องผลิต ตั้งแต่เดือน มกราคม พ.ศ. 2562 จนถึง เดือน กรกฎาคม พ.ศ.2564 พบว่าสามารถลดเวลาในการปรับตั้งเครื่อง 36% โดยเฉลี่ย และในด้านประสิทธิภาพของระบบ พบว่าระบบที่นำเสนอนี้สามารถช่วยลดขั้นตอนในการจัดตารางการผลิตให้กับผู้ใช้งานอย่างมาก รวมทั้งสามารถติดตามและควบคุมผลผลิตได้ตามวัตถุประสงค์และผ่านเกณฑ์การประเมินผลการยอมรับจากผู้ใช้งาน

Effect Of Feedrate, Depth Of Cut, Tool Material, And Toolpath On Dimensional Accuracy And Surface Roughness Of Milled Cfrp, Assem Hesham Almadani

Graduate Theses, Dissertations, and Problem Reports (ETD)

This thesis investigates the effect of different factors on Carbon Fiber Reinforced Polymers (CFRP) milling, like feedrate, tool material, and cutting speed. CFRP offers excellent material properties, which led to the increase of the material in today's manufacturing industry. CFRP offers up to 2.25 times steel's modulus of elasticity at about a fifth of the weight and excellent thermal properties, which allow the use of this material in applications with high heat like automobiles. Many industries have implemented the use of CFRP in their applications, like airplanes and automobiles, which lead to a decrease in weight and increase in strength. …

Flipping The Classroom For Introduction To Probability And Statistics For Engineers, Philomena Krosmico

Graduate Theses, Dissertations, and Problem Reports (ETD)

Introduction to Probability and Statistics for Engineers, IENG 213, is a foundational course in the Industrial Engineering curriculum at West Virginia University (WVU). The challenge has been finding the best teaching method to instill concept learning. A “flipped classroom” teaching style has been gaining momentum throughout higher education and has had proven success in STEM fields. At WVU, beginning with the 2016 Fall semester, the teaching model for the class used a flipped classroom style for one of the instructors. Data on statistical concept learning, using the University of Oklahoma validated statistics concept inventory instrument (Allen K., 2006), was collected …

The Development Of A Holistic Quality Score Using In-Situ Monitoring Of Laser Powder Bed Fusion, Ryan Daigneault

College of Graduate Studies: Theses & Dissertations

Additive manufacturing processes allow for a great degree of flexibility in terms of part production. The process is autonomous once the part has started printing in that the operator generally does not need to intervene until the part is finished. One issue that this introduces, however, is an inability to determine part quality during the printing process. Once a part has started printing, the operator must either wait until the part is finished or regularly check on the part during the print to determine the part quality. Using data gathered from multiple sensors, a quality score can be used to …

In-Situ Process Monitoring For Metal Additive Manufacturing (Am) Through Acoustic Technique, Md Shahjahan Hossain

College of Graduate Studies: Theses & Dissertations

Additive Manufacturing (AM) is currently a widely used technology in different industries such as aerospace, medical, and consumer products. Previously it was mainly used for prototyping of the products, but now it is equally valuable for commercial product manufacturing. More profound understanding is still needed to track and identify defects during the AM process to ensure higher quality products with less material waste. Nondestructive testing becomes an essential form of testing for AM parts, where AE is one of the most used methods for in situ process monitoring. The Acoustic Emission (AE) approach has gained a reputation in nondestructive testing …

Let's Collaborate! The Importance Of Cybersecurity Pathways And Their Accessibility, Vukica Jovanovic, Otilia Popescu, Murat Kuzlu, Petros Katsioloudis

Engineering Technology Faculty Publications

[Introduction] I am very passionate about inspiring a new generation of the STEM workforce. Going through the engineering pathway myself since 9th grade, I have seen the value of technical education and early career choice. In high school, I learned so much about math and science, but also about the technical and applied aspects of STEM professions. I had one apprenticeship in electrical power and aluminum mill companies where I explored how the concepts from the classes convey to the real world. It was so much easier to learn all the equations and different aspects of technology from the textbook …

An Equest Based Building Energy Modeling Analysis For Energy Efficiency Of Buildings, Saroj Lamichhane

Graduate Theses, Dissertations, and Problem Reports (ETD)

Building energy performance is a function of numerous building parameters. In this study, sensitivity analysis on twenty parameters is performed to determine the top three parameters which have the most significant impact on the energy performance of buildings. Actual data from two fully operational commercial buildings were collected and used to develop a building energy model in eQUEST. The model is calibrated using Normalized Mean Bias Error (NMBE) and Coefficient of Variation of Root Mean Square Error (CV(RMSE)) method. The model satisfies the NMBE and CV(RMSE) criteria set by the American Society of Heating, Refrigeration, and Air-Conditioning (ASHRAE) Guideline 14, …

Determination Of Effectiveness Of Energy Management System In Buildings, Vivash Karki

Graduate Theses, Dissertations, and Problem Reports (ETD)

Building Energy Management Systems (BEMS) are computer-based systems that aid in managing, controlling, and monitoring the building technical services and energy consumption by equipment used in the building. The effectiveness of BEMS is dependent upon numerous factors, among which the operational characteristics of the building and the BEMS control parameters also play an essential role. This research develops a user-driven simulation tool where users can input the building parameters and BEMS controls to determine the effectiveness of their BEMS. The simulation tool gives the user the flexibility to understand the potential energy savings by employing specific BEMS control and help …

Prediction Of Tensile Behaviors Of L-Ded 316 Stainless Steel Parts Using Machine Learning, Israt Zarin Era

Graduate Theses, Dissertations, and Problem Reports (ETD)

Directed energy deposition (DED) is a rising field in the arena of metal additive manufacturing and has extensive applications in aerospace, medical and rapid prototyping. The process parameters, such as laser power, scanning speed and specimen height, play a great deal in controlling and affecting the properties of DED fabricated parts. Nevertheless, both experimental and simulation methods have shown constraints and limited ability to generate accurate and efficient computational predictions on the correlations between the process parameters and the final part quality. In this work, a data driven machine learning model XGBoost has been built and applied to predict the …

Multivariate Time Series Classification Of Sensor Data From An Industrial Drying Hopper: A Deep Learning Approach, Md Mushfiqur Rahman

Graduate Theses, Dissertations, and Problem Reports (ETD)

In recent years, the advancement of industry 4.0 and smart manufacturing has made a large number of industrial process data attainable with the use of sensors installed in the machineries. This thesis proposes an experimental predictive maintenance framework for an industrial drying hopper so that it can detect any unusual event in the hopper which reduces the risk of erroneous fault diagnosis in the manufacturing shop floor. The experimental framework uses Deep Learning (DL) algorithms in order to classify Multivariate Time Series (MTS) data into two categories- failure or unusual events and regular events, thus formulating the problem as binary …

Online Fulfillment: F-Warehouse Order Consolidation And Bops Store Picking Problems, Wen Zhu

Dissertations

Fulfillment of online retail orders is a critical challenge for retailers since the legacy infrastructure and control methods are ill suited for online retail. The primary performance goal of online fulfillment is speed or fast fulfillment, requiring received orders to be shipped or ready for pickup within a few hours. Several novel numerical problems characterize fast fulfillment operations and this research solves two such problems. Order fulfillment warehouses (F-Warehouses) are a critical component of the physical internet behind online retail supply chains. Two key distinguishing features of an F-Warehouse are (i) Explosive Storage Policy – A unique item can be …

Method For Obtaining Resource-Saving Air Filtering Materials, Xurramov Gulovich Muxtor Ph.D Docent, Xurramova Sevara

Acta of Turin Polytechnic University in Tashkent

Abstract - The article discusses a method of obtaining air filtering material from natural polymer fruits of the luffa plant. The filtering material has better performance characteristics and can replace imported counterparts. The quality of air purification in the filter can be adjusted by the number of wound layers of filter material.

Calculation Of The Power Of The Undulating Surface Of The Screw Conveyor For Cleaning Lint, Sabrina Mukhamedjanova

Acta of Turin Polytechnic University in Tashkent

В статье представлены результаты расчета параметров шнекового конвейера с волнистой длиной шнека для транспортировки и очистки хлопка. Представлен аналитический метод определения силы вытягивания ворса по волнистой поверхности винта. Значения параметров волнообразной поверхности шнекового транспортера рекомендуются.

Size And Cost Reduction Of The Antenna 3000, Mario Mignott, Austin Deaver, Josh Madaris

Senior Design Project For Engineers

For our senior design project, we have partnered with Compass Technology Group to improve its Antenna 3000 manufacturing process. The Antenna we are working on is not actually called this, but due to NDA regulations, we will disguise it as the Antenna 3000. This will include finding a way to minimize material costs and labor hours involved to assemble this product together. Our minimum success criteria will be to reduce both the manufacturing time and materials' cost by 20%. Our primary approach to solving this problem will be to implement Lean Six Sigma practices such as the DMAIC principle.

Using …

Operational Decision-Making In Healthcare Using Control Charts, Rohan More

Master's Theses

The primary objective of this thesis was to design a framework supplemented with guidelines for the healthcare managers to select an appropriate type of control chart for operational decision-making. A systematic literature review was conducted to gauge the extent to which control charts were being used in a healthcare setting for clinical decision making and operational decision-making purposes. The findings showed that the application of control charts was almost equal for the clinical decision-making sector and the operational decision-making sector. On further analysis, the ability of control charts to function as a standalone tool was affirmed by the vast majority …

Comparison Of Classification Algorithms And Undersampling Methods On Employee Churn Prediction: A Case Study Of A Tech Company, Heather Cooper

Master's Theses

Churn prediction is a common data mining problem that many companies face across industries. More commonly, customer churn has been studied extensively within the telecommunications industry where there is low customer retention due to high market competition. Similar to customer churn, employee churn is very costly to a company and by not deploying proper risk mitigation strategies, profits cannot be maximized, and valuable employees may leave the company. The cost to replace an employee is exponentially higher than finding a replacement, so it is in any company’s best interest to prioritize employee retention.

This research combines machine learning techniques with …

An Investigation On The Effectiveness Of A Problem Structuring Method In A Group Decision-Making Process, Ying Thaviphoke

Engineering Management & Systems Engineering Theses & Dissertations

There is no shortage of methods to address messy problems. A messy problem is a system of problems with multiple stakeholders who may hold different views of what is feasible or desirable. Decision-makers in a messy problem are prone to committing an error – especially the Type III error. One of the ways to mitigate the chance of committing the error in a messy problem is to reach a group consensus. Problem Structuring Methods (PSM) are the collections of participatory modeling methods that aim to tackle a messy problem. Despite the positive reports, literature indicates some challenges and criticisms of …

Parametric Study Of Residual Stresses In Wire And Arc Additive Manufactured Parts, Hisham Khaled Jamil Abusalma

Mechanical & Aerospace Engineering Theses & Dissertations

Wire and Arc Additive Manufacturing (WAAM) is a cost-effective additive manufacturing process due to its capability to fabricate large metal parts with high deposition rate and low equipment cost. Although this method is gaining popularity in manufacturing industry, more research is needed to understand process parameters’ effects on residual stress (RS) distribution and part distortion. As such, a 3D thermo-elastic-plastic transient model was established in ABAQUS and employed to investigate the effect of process parameters such as the torch speed, the deposition power and the interlayer dwell time on RS distribution and distortion in WAAM part. The numerical model utilized …

Improvement Of Light Intensity And Efficiency Of N-Zno/Nio/P-Gan Heterojunction-Based White Light Emitting Diodes Using Micro-/Nanolens Array, Apurba Adhikary, Md Shamim Ahsan, Md Mahbub Hossain, Md Bipul Hossain, S. H. Shah Newaz, Farid Ahmed, Ik-Bu Sohn

Manufacturing & Industrial Engineering Faculty Publications

Our study proposes a technique to enhance light extraction efficiency of light emitting diodes (LEDs) by incorporating various micro-/nanolens arrays (MNLAs) on the substrate layer, which in turn increases the external quantum efficiency (EQE) of the LEDs. To simulate the LEDs, we utilized the finite difference time domain method. To achieve a white LED, we inserted a thin layer of NiO at the interface between the n-type ZnO and the p-type GaN. The basic n-ZnO/NiO/p-GaN heterojunction-based LED exhibited an EQE of 10.99% where the effective refractive index of the LED structure was 1.48. The EQE was further increased by engraving …

Grow Local Manufacturing Along Us/Mexico Border Region For An Integrated Supply Chain In The Post Covid-19 Era, Jianzhi Li

Manufacturing & Industrial Engineering Faculty Publications

The current coronavirus disease pandemic, plus the strong movement of manufacturing reshoring, provide a unique opportunity for many US regions to grow local manufacturers. This technical note attempts to review the current situation and trend in US manufacturing. We then discuss challenges and necessary steps, such as asset mapping, required to grow local suppliers. Suggestions are then made to support growing local suppliers along the US/Mexico border region.