• Industrial Engineering and Management Systems
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• v.11 no.4
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• pp.310-330
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• 2012

Scheduling is an important tool for a manufacturing system, where it can have a major impact on the productivity of a production process. In manufacturing systems, the purpose of scheduling is to minimize the production time and costs, by assigning a production facility when to make, with which staff, and on which equipment. Production scheduling aims to maximize the efficiency of the operation and reduce the costs. In order to find an optimal solution to manufacturing scheduling problems, it attempts to solve complex combinatorial optimization problems. Unfortunately, most of them fall into the class of NP-hard combinatorial problems. Genetic algorithm (GA) is one of the generic population-based metaheuristic optimization algorithms and the best one for finding a satisfactory solution in an acceptable time for the NP-hard scheduling problems. GA is the most popular type of evolutionary algorithm. In this survey paper, we address firstly multiobjective hybrid GA combined with adaptive fuzzy logic controller which gives fitness assignment mechanism and performance measures for solving multiple objective optimization problems, and four crucial issues in the manufacturing scheduling including a mathematical model, GA-based solution method and case study in flexible job-shop scheduling problem (fJSP), automatic guided vehicle (AGV) dispatching models in flexible manufacturing system (FMS) combined with priority-based GA, recent advanced planning and scheduling (APS) models and integrated systems for manufacturing.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.449-455
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• 2002

This paper considers that advanced planning and scheduling (APS) in manufacturing and the efficient purchasing where each customer order has its due date and multi-suppliers exit We present a Make-To­Order Supply Chan (MTOSC) model of efficient purchasing process from multi-suppliers and APS with outsourcing in a supply chain, which requires the absolute due date and minimized total cost. Our research has included two states. One is for efficient purchasing from suppliers: (a) selection of suppliers for required parts; (b) optimum part lead­time of selected suppliers. Supplier selection process has received considerable attention in the business­management literature. Determining suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions usually is complex and unstructured. These influence factors can be divided into quantitative and qualitative factors. In the first level, linguistic values are used to assess the ratings for the qualitative factors such as profitability, relationship closeness and quality. In the second level a MTOSC model determines the solutions (supplier selection and order quantity) by considering quantitative factors such as part unit price, supplier's lead-time, and storage cost, etc. The other is for APS: (a) selection of the best machine for each operation; (b) deciding sequence of operations; (c) picking out the operations to be outsourcing; and (d) minimizing makespan under the due date of each customer's order. To solve the model, a genetic algorithm (GA)-based heuristic approach is developed. From the numerical experiments, GA­based approach could efficiently solve the proposed model, and show the best process plan and schedule for all customers' orders.

• IE interfaces
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• v.14 no.4
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• pp.348-355
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• 2001

This paper suggests a detailed design of APS(Advanced Planning & Scheduling) system using the DBR (Drum-Buffer-Rope) which is a finite capacity scheduling logic of TOC(Theory of Constraints). Our design is composed of four modules; Network, Buffer, Drum and Subordination. The Network module defines the Product Network which is built from BOM and routings. The Buffer module inserts the Buffers into the Product Network. The Drum module describes detail procedures to create Drum Schedule on the CCR(Capacity Constraint Resource). The Subordination module synchronizes all non-constraints to the constraints by determining the length of Rope. This design documented by ARIS.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.103-108
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• 2002

본 연구는 주문형 반도체 생산공장이나 인쇄회로기판 제조공장과 같이 매우 다양한 제품들을 주문에 의해 생산하며 제조공정이 매우 길고 복잡한 생산 시스템에 대하여 다룬다. 이러한 생산 시스템은 그 특성상 APS (Advanced Planning and Scheduling)의 일정계획(scheduling) 모듈로서 시뮬레이션(simulation)이 유일한 대안이 되는 경우가 발생할 수 있다. 시뮬레이션 기법은 복잡한 상황도 대부분 묘사가 가능하기 때문에 사실적이고 실현 가능한 일정계획을 생성할 수 있다는 장점이 있는 반면 수행시간이 상당히 길다는 단점이 있다. 기업이 경쟁력을 가지기 위해서는 고객이 의뢰한 주문에 대하여 가능 납기(가능한 생산완료 시점)를 빠른 시간 내에 정확히 알려주어야만 한다. 따라서, APS 역시 "즉시 납기산정, 정시 납품:(commit now, deliver on time)을 캐치프레이즈(catch phrase)로 한다. 하지만 시뮬레이션은 :정시 납품:이 가능한 납기를 산정할 수 있을지는 모르지만 "즉시 납기산정"이 불가능하다. 따라서, 본 연구에서는 시뮬레이션에 근거한 일정계획 모듈을 가지고 있는 APS 시스템에서 납기산정을 빠르고 정확하게 할 수 있는 방법론을 제시한다. 이 방법론은 기존의 MRP Ⅱ 및 ERP 시스템에서 행하던 ATP (available to promise) 흑은 CTP (capable to promise) 기법과 차별화 되며, 의뢰한 주문의 생산착수 시점과 제조 리드타임을 합리적이고 신속하게 산출한다.

• Proceedings of the Safety Management and Science Conference
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• 2012.04a
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• pp.585-602
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• 2012

In order for the companies under current business environment to survive, develop, and to grow more complicated than the companies under a simple competition, they have to make a management decision considering the relationships among companies and constraints. Since product life is shortening and customers' needs is changing, companies should reflect the change in their agenda, and should be spontaneous to the change. In this study, I will analyze and improve the factors of APS systmem.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.98-102
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• 2002

High-Tech 산업은 국제적인 경쟁력과 갈수록 짧아지는 제품의 Life-cycle로 인해 그 경쟁이 매우 치열해 지고 있다. 따라서. 변동되는 시장 상황에 맞추어 자재의 구매/조달, 연구 개발, 생산, 물류/배송, 판매, 및 고객에 대한 납기 약속 등을 신속하고 정확하게 처리하기 위해 전 세계적으로 SCM(Supply Chain Management)관점에서 APS(Advanced Planning and Scheduling)시스템을 사영하고 있다. 특히, 고객으로부터 주문량이 할당되면 주어진 자재와 공장의 생산능력 (capacity)을 계산하여 생산가능 유무 및 생산가능일을 알려주는 공장내의 생산 계획 및 스케줄링 방법은 현재는 물론 앞으로도 지속적으로 발전시켜야 될 부분으로서 그 중요성이 점점 확대되고 있다. 따라서, 본 연구에서는 High-Tech 산업 중에서 전자 산업의 요구 사항을 분석하고, 이러한 요구 사항들을 해결하기 위래 세계적으로SCM 시장에서 가장 많은 경쟁력을 가지고 있는 i2 Technologies사의 생산 계획 및 스케줄링 툴인 Factory Planner를 사용한 사례를 제시한다.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.1
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• pp.79-86
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• 2022

In general, since the types and types of ships, so complex and various variables are included to measure the amount of construction work. In addition, it is mot easy to predict the schedule or the number of working hours before ship construction, and it is also mostly inaccurate. As a result, the master plan is manually drawn up by the expert's experience, but there are limitations due to various factors. Medium and large shipyards are operating APS(Advanced Planning and Scheduling) system that reflects industrial characteristics to improve productivity in the planning stage, and utilize information from systems such as ERP(Enterprise Resource Planning) system and MES (Manufacturing Execution System). On the other hand, small shipyards rely mostly on manual work such as Excel work based on the experience of the workers. Therefore, this study intends to develop a master plan management system that can efficiently manage the production process from the business planning stage in consideration of the characteristics of small shipyards.

• International Journal of Naval Architecture and Ocean Engineering
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• v.13 no.1
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• pp.405-430
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• 2021

Production planning is a key part of production management of manufacturing enterprises. Since computerization began, modern production planning has been developed starting with Material Requirement Planning (MRP), and today Enterprise Resource Planning (ERP), Advanced Planning and Scheduling (APS), Supply Chain Management (SCM) has been spreading and advanced. However, in the shipbuilding field, rather than applying these general-purpose production planning methodologies, in most cases, each shipyard has developed its own production planning system. This is because the applications of general-purpose production planning methods are limited due to the order-taking industry such as shipbuilding with highly complicated construction process consisting of millions of parts per ship. This study introduces the design and development of the production planning system reflecting the production environment of heavy shipyards in Korea. Since Korean shipyards such as Hyundai, Daewoo and Samsung build more than 10 ships per year (50-70 ships in the case of large shipyards), a planning system for the mixed production with complex construction processes is required. This study draws requirements using PI/BPR (process innovation and business process reengineering) methodology to develop a production planning system for shipyards that simultaneously build several ships. Then, CBD software development methodology was applied for the design and implementation of planning system with drawn requirements. It is expected that the systematic development procedure as well as the requirements and functional elements for the development of the shipyard production planning system introduced in this study will be able to present important guidelines in the related research field of shipbuilding management.

• Journal of the Korea Safety Management & Science
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• v.5 no.2
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• pp.155-164
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• 2003

In this regard, the newly focused logistics information system makes reducing the expenses of whole logistic available by cutting down the expenses of materials, transportation and stock and also, it allows the company to cut down the procurement expense through the reduced lead-time and rationalize producing plans by eliminating the uncertain orders and fluctuation in procurement. It further more optimizes the efficiency of over all productions by meeting the dead line for delivery to the customers. In the recent environment of globalization where fierce competitions exist between manufacturers, logistics plays important role in the strategies of companies, and managements of companies try their best efforts in establishing the strategy to accomplish the innovative relationship between supply chain channels. Therefore, in this study, we try to suggest the model of consolidated logistics system that is integrated logistics information system with suggesting the better way of logistics and comparative analysis with logistics system to resolve the difficulties numbers of companies face after realizing what logistics information system is in Korea.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.1
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• pp.143-150
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• 2020

To enhance the effectiveness of the FMS (flexible manufacturing system), it is necessary for the manufacturing control system to be upgraded by integrating the cyber and the physical manufacturing systems. Using the CPPS (Cyber-Physical Production System) concept, this study proposes a 4-stage vertical integration and control framework for an aircraft parts manufacturing plant. In the proposed framework, the process controller prepares the operations schedule for processing work orders generated from the APS (advanced planning & scheduling) system. The scheduled operations and the related control commands are assigned to equipments by the dispatcher of the line controller. The line monitor is responsible for monitoring the overall status of the FMS including work orders and equipments. Finally the process monitor uses the simulation model to check the performance of the production plan using real time plant status data. The W-FMCS (Wing rib-Flexible Manufacturing Control & Simulation) are developed to implement the proposed 4-stage CPPS based FMS control architecture. The effectiveness of the proposed control architecture is examined by the real plant's operational data such as utilization and throughput. The performance improvement examined shows the usefulness of the framework in managing the smart factory's operation by providing a practical approach to integrate cyber and physical production systems.