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2020

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Full-Text Articles in Industrial Engineering

การเพิ่มอัตราผลผลิตของการตรวจสอบยางรถยนต์, ธนกร สงวนวงศ์วาน Jan 2020

การเพิ่มอัตราผลผลิตของการตรวจสอบยางรถยนต์, ธนกร สงวนวงศ์วาน

Chulalongkorn University Theses and Dissertations (Chula ETD)

ในการศึกษากระบวนการตรวจสอบยางรถยนต์พบว่าผลผลิตไม่ได้ตามเป้าหมายที่กำหนด ดังนั้นงานวิจัยฉบับนี้จึงมีวัตถุประสงค์เพื่อเพิ่มอัตราผลผลิตของการตรวจสอบยางรถยนต์ โดยมุ่งเน้นในการปรับปรุงรอบเวลา (Cycle time) การตรวจสอบยางรถยนต์ ให้ลดลง ซึ่งใช้หลักการการศึกษางานและเวลา วิเคราะห์กระบวนการทำงานจากแผนผังสายธารแห่งคุณค่า (Value Stream Mapping) และบ่งชี้กิจกรรมที่ไม่ก่อเกิดมูลค่าเพิ่ม (Non-value-added) ที่ส่งผลต่อกระบวนการทำงาน จากนั้นจึงนำหลักการ ECRS เป็นเครื่องมือในการวิเคราะห์และลดกิจกรรมที่สูญเปล่าจากกระบวนการทำงาน จากการวิเคราะห์ข้อมูลพบว่าในกระบวนการทำงานมีการทำงานที่ซ้ำซ้อน การขนส่งที่ไม่จำเป็น และท่าทางการเคลื่อนไหวในกระบวนการผลิตที่เป็นกิจกรรมที่ไม่ก่อเกิดมูลค่าเพิ่ม ซึ่งทำให้อัตราผลผลิตลดลง ส่งผลให้รอบเวลาสำหรับการตรวจสอบยางรถยนต์มากขึ้นเมื่อเทียบกับเป้าหมาย หลังจากได้ทำการปรับปรุงการทำงานจากการลดกิจกรรมที่ไม่ก่อเกิดมูลค่าเพิ่ม สามารถลดขั้นตอนของกระบวนการตรวจสอบยางรถยนต์เกรด A จากเดิม 17 ขั้นตอน เป็น 14 ขั้นตอน กระบวนการตรวจสอบยางรถยนต์เกรด B จากเดิม 18 ขั้นตอน เป็น 15 ขั้นตอน กระบวนการตรวจสอบยางรถยนต์เกรด C จากเดิม 26 ขั้นตอน เป็น 23 ขั้นตอนและกระบวนการตรวจสอบยางรถยนต์เกรด D จากเดิม 27 ขั้นตอน เป็น 26 ขั้นตอน โดยจากการลดขั้นตอนการทำงานทำให้รอบเวลาการตรวจสอบยางรถยนต์จากเดิมเฉลี่ย 77 เซ็นตินาที (47.40 วินาที) ต่อเส้น เป็น 69 เซ็นตินาที (39.60 วินาที)ต่อเส้น หรือคิดเป็น 16.46 เปอร์เซ็นต์ โดย 1 วินาที จะเท่ากับ 0.6 เซ็นตินาที ส่งผลให้พนักงานตรวจสอบยางรถยนต์ได้มากขึ้นจากเดิม 288 เส้นต่อคนต่อวัน เป็น 316 เส้นต่อคนต่อวัน


A Model Predictive Control Strategy Based On Predicted Mean Vote For A Building Hvac System, Chanthawit Anuntasethakul Jan 2020

A Model Predictive Control Strategy Based On Predicted Mean Vote For A Building Hvac System, Chanthawit Anuntasethakul

Chulalongkorn University Theses and Dissertations (Chula ETD)

This thesis proposes a design of a supervisory model predictive controller for a heating-ventilation-air-conditioning (HVAC) control system. The control objective is to minimize the operating cost and take into account of electrical load shaving and thermal comfort of users. To ensure that thermal comfort is well regulated, we utilize the Predicted Mean Vote (PMV) as an indicator and determine an acceptable bound of a desired set-point temperature. The control design consists of two layers, namely, a supervisory control (SC) layer and a model predictive control (MPC) layer. For the SC layer, we explore a configuration including the choice of predesign …


A Study Of Customers' Willingness To Purchase Organic Fresh Milk In Thailand, Jeerawan Punwaree Jan 2020

A Study Of Customers' Willingness To Purchase Organic Fresh Milk In Thailand, Jeerawan Punwaree

Chulalongkorn University Theses and Dissertations (Chula ETD)

Nowadays, most consumers often are care about health due to the COVID-19 and personal needs. Dairy products are specific products that are generally consumed by every age group, from children, teenagers, adults, to the elderly. Organic milk could provide an advantageous alternative for health conscious consumers as it must be certified by government agencies prior to market launching. There are many studies supported that organic milk is more beneficial than conventional milk. Theory of Planned Behavior (TPB) was applied to study the factors affected consumers' willingness to purchase organic fresh milk in Thailand. Through the questionnaire method and analysis by …


Determining The Effectiveness Of The Health-Edrm Framework And Twitter Data Analysis As The Near Real-Time Source Of Information During The Covid-19 Situation, Kumpol Saengtabtim Jan 2020

Determining The Effectiveness Of The Health-Edrm Framework And Twitter Data Analysis As The Near Real-Time Source Of Information During The Covid-19 Situation, Kumpol Saengtabtim

Chulalongkorn University Theses and Dissertations (Chula ETD)

Coronavirus pandemic or COVID-19 pandemic is considered to be one of the most severe disasters that affect both lives and economics to all the countries around the world. Health Emergency and Disaster Risk Management Framework or HEALTH-EDRM framework is the disaster management framework established in late 2019. One objective of this framework is to reduce the impact of the disaster that affects the lives of the people. Risk communication which is considered as the main function of this framework is also the main key for reducing the amount of affecting people. In this research, the analysis of the effectiveness of …


Manufacturing Cost Reduction In A Filling Process Of Aerosol Products, Nattagun Charoenbunsupkarn Jan 2020

Manufacturing Cost Reduction In A Filling Process Of Aerosol Products, Nattagun Charoenbunsupkarn

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research focuses on the development of heuristics that help reduce the production cost of an aerosol filling process of a case study company, while satisfying all related constraints, including production capacity and due dates. The proposed heuristics are a two-phase one, where the initial solutions are first constructed based on simple dispatching rules, and, once completed, such solution is then iteratively improved by two different improvement heuristics, namely 2OPT and Node Shift. A tabu list is also embedded within such a framework to help reduce its computational time. We have assessed the performances of these heuristics based on 6 …


Key Success Factors Of Area Business Continuity Management Based On Stakeholders' Perspective Using Ahp Method: A Case Study Of An Automotive Component Company In Ayutthaya Province, Thailand, Sansanee Sapapthai Jan 2020

Key Success Factors Of Area Business Continuity Management Based On Stakeholders' Perspective Using Ahp Method: A Case Study Of An Automotive Component Company In Ayutthaya Province, Thailand, Sansanee Sapapthai

Chulalongkorn University Theses and Dissertations (Chula ETD)

The 2011 Thailand floods caused extensive damages widely areas. Especially in the manufacturing sector, it is not the only individual company but also the supply chain disruption. Area Business Continuity Management (Area-BCM) is a valuable system that helps businesses successfully reduce flood damage. To achieve the project's ultimate goal, a significant factor that impacts Area-BCM activities is essential. Delphi method with 10 Business Continuity Management (BCM) experts was employed to identify potential success factors. Further, Analytic Hierarchy Process (AHP) was applied to examine the relative weight of importance in a total of 20 factors that can be separated into 4 …


Engine Oil Change Lead Time Reduction Of Commercial Vehicle Service Center In Thailand, Sufee Datoh Jan 2020

Engine Oil Change Lead Time Reduction Of Commercial Vehicle Service Center In Thailand, Sufee Datoh

Chulalongkorn University Theses and Dissertations (Chula ETD)

In the high competition, the service time is one of many important factors that some customers are likely to concern. This thesis would like to investigate the root causes of the unnecessary activities in a selected authorised service centre which can be improved overall service lead time especially engine oil changing service and light commercial vehicles only (Pick-up and SUV) and to be a prototype improvement plan to suggest other authorised service centres in Thailand in the future. The procedure of engine oil change service can be grouped into 3 phases including the pre-checking, maintenance and post-checking phase. The idea …


A Comparison Of Forecasting Methods For Rotable Spare Parts In A Thai Low-Cost Airline, Supannika Thummathid Jan 2020

A Comparison Of Forecasting Methods For Rotable Spare Parts In A Thai Low-Cost Airline, Supannika Thummathid

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research intents to compare and evaluate 3 different methods for forecasting irregular demand of aircraft spare parts by focusing on Rotable part group of Company A which is the leading low-cost airline in Thailand and operate by Airbus A320 model. Based on the demand classification, it is observed that most of the spare part demands presented an intermittent demand pattern. The forecasting methods Croston's, Holt's Linear and Multi-Layer Perceptron trained with Backpropagation of Neural Network Model are applied on the historical data of 36 Rotable spare parts by dividing into 2 sets which are initialization set period 60 months …


Proactive Customer Service Operations Development For An Automotive Tyre Service Centre, Suttida Wittayapichet Jan 2020

Proactive Customer Service Operations Development For An Automotive Tyre Service Centre, Suttida Wittayapichet

Chulalongkorn University Theses and Dissertations (Chula ETD)

The purpose of this research is to create new customer service model in fleet management for Company A which is the automotive tyre service centre due to change the company administration to be proactive management by developing relationship with customers. Also, the research focuses on customers in private companies, which are fleets of large vehicles, in order to maximize customer loyalty with the main customer group of company. Therefore, the design of this research used Business Model Canvas (BMC) to be the structure of the research and adapting Vendor Managed Inventory (VMI) concept to develop in the form of Vendor …


Microgrid Design, Control, And Performance Evaluation For Sustainable Energy Management In Manufacturing, Md. Monirul Islam Jan 2020

Microgrid Design, Control, And Performance Evaluation For Sustainable Energy Management In Manufacturing, Md. Monirul Islam

Doctoral Dissertations

"This research studies the capacity sizing, control strategies, and performance evaluation of the microgrids with hybrid renewable sources for manufacturing end use customers towards a distributed sustainable energy system paradigm. Microgrid technology has been widely investigated and applied in commercial and residential sector, while for manufacturers, it has been less explored and utilized. To fill the gap, the dissertation first proposes a cost-effective sizing model to identify the capacities as well as control strategies of the components in microgrids considering a commonly used energy tariff, i.e., Time of Use (TOU). Then, the sizing model is extended by integrating control strategies …


Investigation Of Mental Workload And Job Satisfaction Among Officer Workers At A Selected Electronic Company, Md Ali Nor Qistina Jan 2020

Investigation Of Mental Workload And Job Satisfaction Among Officer Workers At A Selected Electronic Company, Md Ali Nor Qistina

Student Works (2020-2029)

This study investigated the level of mental workload and job satisfaction among office workers at a selected electronic company in Subang Jaya. 103 professional workers from various departments comprising 54 males and 49 females participated in this study. DASS-21, Carga Mental Questionnaire, and Job Satisfaction Survey were used to gather data from the participants. Socio-demographic data were collected from participants too. The results showed mental workloads level is low among the workers while the level of job satisfaction is average. However, the level of stress among female workers is mild which is slightly higher than males. There are significant correlations …


Implications Of Variability Of Electromyographic Measurements For Assessing Localized Muscle Fatigue, Hamad Nasser Alasim Jan 2020

Implications Of Variability Of Electromyographic Measurements For Assessing Localized Muscle Fatigue, Hamad Nasser Alasim

Graduate Theses, Dissertations, and Problem Reports (ETD)

The impact of work-related musculoskeletal disorders (WMSDs) is enormous due to a combination of direct and indirect costs associated with healthcare, lost workdays and human suffering. Because of the established relationship between Localized Muscle Fatigue (LMF) development and WMSDs, and in order to reduce and/or prevent WMSDs in workplaces, different fatigue assessment methods have been developed. Surface Electromyography (SEMG) is a commonly used LMF assessment technique. The SEMG signals are typically analyzed in time and frequency domains to predict LMF based on a relative change with respect to initial, or under no-fatigue conditions. Quantifying such change, however, relies on the …


Performance Study Of Five Different Cabin Air Filters In The Laboratory And On-Road Drive, Fahad Alqahtani Jan 2020

Performance Study Of Five Different Cabin Air Filters In The Laboratory And On-Road Drive, Fahad Alqahtani

Graduate Theses, Dissertations, and Problem Reports (ETD)

One of the aims of installing ventilation filters in a car is to prevent vehicle occupants from inhaling potentially harmful aerosols emanating from the environment. Vehicle cabin filters are essential in ensuring that a vehicle's air conditioning system provides clean air to its occupants. The purpose of the cabin filter is to improve air quality inside the car to provide better comfort and better protect occupants from experiencing unwanted respiratory problems. Using cabin filters in air conditioning systems is a common practice in modern vehicle manufacturing. Scientists and engineers are continually seeking new ways of improving the efficiency and effectiveness …


Enabling Flexibility Through Strategic Management Of Complex Engineering Systems, Walter Louis Barnes Ii Jan 2020

Enabling Flexibility Through Strategic Management Of Complex Engineering Systems, Walter Louis Barnes Ii

Doctoral Dissertations

”Flexibility is a highly desired attribute of many systems operating in changing or uncertain conditions. It is a common theme in complex systems to identify where flexibility is generated within a system and how to model the processes needed to maintain and sustain flexibility. The key research question that is addressed is: how do we create a new definition of workforce flexibility within a human-technology-artificial intelligence environment?

Workforce flexibility is the management of organizational labor capacities and capabilities in operational environments using a broad and diffuse set of tools and approaches to mitigate system imbalances caused by uncertainties or changes. …