|author||Jun Young Moon|
|Keyword||생산 일정 계획, 에너지 효율성, 스마트 그리드, 수요 반응, 분산 전원, 에너지 스토리지, 유전 알고리즘, 제약 프로그래밍|
|Abstract||Currently, manufacturing industries in many advanced countries pay electricity rates stratified by the time of the day (i.e., peak load, mid-load, and off-peak load). These countries are trying to widen the difference between the peak load rate and off-peak load rate to reduce electricity demand at peak load times. Differential electricity pricing affords consumers an opportunity to shift the timing of electricity usage to time periods with a lower electricity price, thereby reducing electricity costs.
Similarly, a production scheduling process, which considers time-dependent and machine-dependent electricity costs, enables industrial electricity consumers to minimize energy expenses.
Additionally, the emerging Smart Grid is supposed to require industries to pay real-time hourly electricity costs. More energy-efficient, intelligent production scheduling is thus possible.
The present thesis deals with minimizing the total cost of production schedule by means of energy scheduling considering both the usage and generation of electricity. The proposed method allows each decision maker in the manufacturing industry to seek a compromise solution with total production cost by considering electricity costs with distributed energy resources and energy storage in the Smart Grid environment of the future.
The method employs hybrid algorithms that include genetic algorithm, constraint programming, and mixed-integer linear programming approaches to solve the problems and compare the proposed models with the classical computational method.
In addition, smart production scheduling models are formulated considering distributed generations (DGs), including energy storage system and renewable energy resources such as solar, wind, and fuel cell. This issue is more complex as manufacturers have to consider an hourly generation schedule of DGs and hourly charging/discharging schedule of energy storage system. In order to solve this problem, an algorithm and solution technique using mixed integer programming and constraint programming is introduced.
Finally, this thesis deals with multi-factory smart production scheduling problems by grouping factories. One model considering separated DGs and another considering centralized DGs are analyzed and compared. This can be a guideline to determine the setup of DGs for manufacturing companies with a number of factories.
The models considering time-dependent and machine-dependent electricity costs were proposed for efficient use of electricity in factories. However, processing times for each job in the suggested models were assumed to be integer-multiples. Therefore, improvements are still needed for more realistic models applicable to the field.
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|110||PhD||2014||A study on integrative decision-making system for reconfigurable manufacturing cells||Jin Wu Seo|
|109||PhD||2014||Multi-level job scheduling in a flexible discrete-part production environment||Hong Bum Na|
|108||MS||2014||A study on operational models for electric vehicle battery switch stations in smart grid environment||Dong Hyun Kim|
|»||PhD||2013||A study on production scheduling problems considering differential electricity pricing and distributed generations||Jun Young Moon|
|106||PhD||2013||Price of Simplicity under Congestion: On the Revenue and Pricing Schemes in the Telecommunication Industry ||Dongmyung Lee|
|105||MS||2013||Developing integrated key performance indicators and measurement scheme for MES ||Gyusun Hwang|
|104||MS||2013||Design of an inspection system for reducing quality deterioration under VMI supply chain management system ||Jaebong Lee|
|103||MS||2012||Load Leveling in Project Scheduling Considering Work-in-Process Inventory ||Sungjin Lee|
|102||MS||2012||Load Leveling in Project Scheduling Using Partial Adjustment and Diffusional Relaxation Method ||SungHoon KIM|
|101||MS||2012||Flight and Maintenance Planning of Miliary Aircraft considering Preventive Maintenance Period ||Jun-Ho Park|
|100||MS||2012||The study on target allocation model using simulation for counter-fire execution ||Jeonghun Kim|
|99||MS||2011||The Development of a Strategic Model of Freight Transportation between Korea and Europe ||Louis Coulet|
|98||MS||2011||A System Study to Improve the Infromation Flow of Unused Drug Recovery After Customer Point Reach in Pharmaceutical Reverse Logistics ||Youngjee Hong|
|97||MS||2011||A Study on Real Time Progress Monitoring Methodology and Effects based on RTLS in Project Shop ||Kyounghwi Tae|
|96||MS||2011||Intelligent service during middle-of-life phase of a product: Illustration of framework and its evaluation model ||Soyeon Yoon|
|95||MS||2011||A Study on RMC Scheduling using Simulation ||Jeongho Park|
|94||PhD||2010||Enhancing Flexibility and Responsiveness in Sales Order Management ||Mokmin Park|
|93||PhD||2010||Framework for Integrative SRM System and Collaboration Scorecard ||Jongkyoung Park|
|92||PhD||2009||A Study for Business Process Improvement Using Real-time Information of Unbalanced Work ||Jaehyun Kong|
|91||MS||2009||A Study on the Economic Feasibility of Automated Identification Technology on the ELV Management Process ||Kiheon Nam|
|90||MS||2009||A Study on Mine Artillery Hit Using Simulation ||Youngho Chung|
|89||MS||2009||A Study on Integrated Risk Management in Supply Chain - Focusing on High-tech Electronic Industry ||Kanghyun Kim|
|88||MS||2009||A Fuzzy-AHP based Decision making Model for ground operations ||Youngkyun Lee|
|87||MS||2008||An Study abou the Application and Effect of RFID Technology in the Activity Collecting Information to Improvement of Manufacturing Process ||Sungho Jo|
|86||PhD||2008||A study on integrated production planning and strategic framework in supply chain ||Haejoong Kim|
|85||MS||2008||Integration of RFID and Web Service Technology in Manufacturing Systems ||Gunnam Ong|
|84||MS||2008||A study on supplier's performance measurements for a supply chain on a new product environment ||Jungsub Lee|
|83||MS||2007||A Simulation Study on the Impact of RFID Technology on the Supply Chain Counting Process ||Jangwon Cho|
|82||PhD||2007||A Study on MRP Process Improvement in a Grid Enabled APS ||Hyoung-Gon Lee|
|81||MS||2007||A Study on Utility Value and Fairness of Information Sharing in Supply Chain ||Myongran Oh|
|80||MS||2007||A Study on Project Risk Management based on Earned Value Management ||Hyunil Noh|
|79||MS||2007||A Study on BOM for Enhancing Efficiency of Reverse Supply Chain ||Jinseon Yoo|
|78||MS||2007||A Study on the Valuation of a Supply Chain Considering Management Efficiency and Environmental Effect ||Jiyoun Kim|
|77||MS||2006||A Study on the Assessment Method of Installation and Operation Cost in a Reverse Supply Chain ||Hyunjong Jeong|
|76||MS||2006||A Framework for the ubiquitous MES using RFID and Web services Technology ||Manchul Han|
|75||MS||2006||A Study on the Application of Group Technology for Naval Ship Design And Manufacturing: Relating to Platform Family Architecture ||Gwangjae Park|
|74||PhD||2005||Development of an algorithm for multi-plant production plans in a supply chain ||Sungwon Jung|
|73||MS||2005||A Study on Product Development Methodology in Reverse Supply Chain ||Joon Kim|
|72||MS||2005||A Study on Developing of Position collecting Vision system Using Marker ||Jiyoon Park|
|71||MS||2005||Development of Reference Model and Strategic Road Map for the Implementation of a Reverse Supply Chain ||Chihoon Lim|
|70||MS||2005||A Study on RFID application in Reverse Supply Chain ||Dongjoon Lim|
|69||PhD||2005||Performance Analysis and Network Design of Supply Chain for Strategic Decision Making ||Eoksu Sim|
|68||PhD||2005||A Study on the Integration of Quality Designing and Process Control in Steel Industry ||Jonghan Kim|
|67||MS||2004||A study on due-date assignment method in wafer fabrication facility producing multiple product types ||Jaewon Park|
|66||MS||2004||A Design on Cost-Estimation Support System for Injection Mold Using AI Method ||Gunhee Kim|
|65||MS||2004||A Study on business process model for extended and integrated supply chain planning : Focused on negotiation ||Yuncheol Kang|
|64||MS||2004||A Study on Reverse Supply Chain of End of Life Vehicle for the Enhanced Recycle Performance ||Miyeon Ryu|
|63||MS||2004||A Study on Extended Workflow Model Considering Activity Based Costing ||Moontae Hwang|
|62||PhD||2004||Ontology Development for e-Business Integration ||Tai-Woo Chang|