• IE interfaces
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• v.12 no.4
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• pp.586-594
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• 1999

This paper introduces a production scheduling system for the block assembly shop in a shipbuilding company. We are to make a schedule for the assembly shop and related subassembly production shop. The objectives of the scheduling system are balancing of the workload of the subassembly shops as well as the assembly shop. There are a number of technological and resource constraints including assembly space restriction which is most important and critical resource in the shop. It is very hard and time consuming to consider the two problems, the workload balancing and the spatial allocation problem, simultaneously, and hence, we analyze the two problems independently. The first problem has already been introduced(고시근, 1996), and the overall appearance of the system and the spatial allocation algorithm are presented in this paper.

• Journal of Korean Institute of Industrial Engineers
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• v.20 no.2
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• pp.31-38
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• 1994

We consider a single-machine scheduling problem dealing with the manufacture of components for subsequent assembly into end products. Each product requires both unique components and common components, and each production requires a setup. By making some assumptions on the data and the availability of the components for assembly, Baker provides on efficient dynamic programming algorithm for obtaining the optimal schedule. In this paper we do not impose any requirement on the data, and we solve the more complicated batching and sequencing problem. We suggest a simple heuristic method that is efficient and finds solutions that are optimal or close to the optimal solution.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2014.05a
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• pp.64-65
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• 2014

Recently freeform buildings which are free from simple shape are implemented depending on improvement of construction method. However, freeform buildings are spent more time and cost to materialize than typical form. Because molds for production of freeform shape cannot be reused. For these reasons, low productivity, delay of construction schedule and budget overflow are occurred. Thus, technology of molds need to be developed for manufacturing of freeform concrete segments. The objective of this study is manufacturing of freeform concrete segments using rod type mold. This technology can implement not only application to various shape but also mass production. Thus, problems of construction period, productivity and cost can be solved. After this study, productivity analysis should be continued through the field application.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.190-193
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• 1996

In recent, most of automobile industries adopt the concept of Just In Time production. The paternal manufacturers require their suppliers to supply parts just in time. It is very important for a subcontractor to produce the parts in the appointed time of delivery. This study develops a production information system for Woosin Industry, which is one of such subcontractor of Hundai Motors Company(HNC). The system is developed on Client/Server system. Firstly, three modules are developed, i.e., scheduling module to make a schedule, the subsystem of sales management to deal with the information about order of HMC, delivery of parts, and bill collecting, and the module for supporting material requirement planning and purchace of material.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.2
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• pp.17-23
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• 2004

Changes in manufacturing system are those that occur during production and cause the systems to behave unpredictably. So scheduling problem in this dynamic Industrial environments is very complex. The main concept of this dissertation is to continuously monitor a manufacturing system status(Rate of Prior Job, Rate of Large Job, Rate of Shortest due date Job, Job Interval Time) and detect or predict a change so that scheduling system will react by modifying production schedule(dispaching rule) to lessen the effects of this change.

• Proceedings of the Korean Society for Quality Management Conference
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• 2004.04a
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• pp.513-516
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• 2004

Evolutionary operation is useful to improve on-line full-scale manufacturing processes by systematically changing the levels of the process variables while meeting production schedule. Evolutionary operation was developed using two or three process variables for process operators who are not good at statistics. Recently, when a product is developed, it is very important for the engineers to make the production line stable as soon as possible. And there are many causes which have influences to the product performance. This paper presents an evolutionary operation procedure with many process variables using saturated two level fractional factorial designs including Plackett-Burman design.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.704-708
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• 2002

Production scheduling has been one of the most critical issues in a manufacturing environment Job-shop scheduling problems(JSP) are well know from the standpoint of production planning and operations control in this research scheduling against due date is a measure of performance and the objective is minimizing total weighted tardiness This paper presents an idea of decomposition of the problem and shows robustmess of the schedule under various disturbances along with exact and approximation methods. The proposed method can indeed handle shop disturbances more effectively when compared with traditional and dynamic scheduling methods.

• Journal of Korean Institute of Industrial Engineers
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• v.26 no.3
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• pp.238-248
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• 2000

Facilities are getting more automated and informative in modern manufacturing systems, especially in semiconductor and LCD plants. These systems keep a great deal of such information on its current and near-future status as the arrival time and job completion time of their parts. This paper presents an efficient policy for AGV and part routing using information on the future status of the system where AGVs are playing a central role for material handling. Efficient control of AGVs is very important because AGV systems often become the bottleneck and limit the total production capacity of a very expensive plant. The cell controller records the future events chronologically in Next Event Schedule, and uses this list to determine to which place the AGVs and parts to be sent.

• Journal of Korean Institute of Industrial Engineers
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• v.23 no.2
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• pp.249-260
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• 1997

The manufacturing environment is rife with nonlinear processes. In this context, an intelligent production controller should be able to predict the dynamic behavior of various subsystems as they react to transient environmental conditions, the varying internal condition of the manufacturing plant, and the changing demands of the production schedule. This level of adaptive capability may be achieved through a coherent methodology for a learning coordinator to predict nonlinear and stochastic processes. The system is to serve as a real time, online supervisor for routine activities as well as exceptional conditions such as damage, failure, or other anomalies. The complexity inherent in a learning coordinator can be managed by a modular architecture incorporating case based reasoning. In the interest of concreteness, the concepts are presented through a case study involving a knowledge based robotic system.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.39
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• pp.293-299
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• 1996

The breakdown of machines lead to the lateness of parts and the change of schedules. Its treatment is very important problem in the shop floor control system. In this study, we present an algorithm minimize the lateness, earliness and change of schedule by controlling machining speed of available machines. Production time and production cost required to manufacture a piece of product are usually expressed as a unimodal convex fuction with respect to machining speed, and each has its minimal point at the minimum time speed or the minimum cost speed, and a speed range between these two speeds is called 'efficiency speed range'. Therefore, the algorithm determines the machining speed in the efficiency speed range. An example is demonstrated to explain the algorithm.