• 한국융합학회논문지
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• 제10권1호
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• pp.133-139
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• 2019

3D 프린터와 여러 작업 도구를 이용하여 빠르게 시제품을 제작할 수 있는 환경을 제공하는 테크숍은 융합디자인교육을 실현할 수 있는 공간이며, 4차 산업혁명 시대에 창의적인 아이디어를 배출해 낼 수 있는 터전이 될 것이 분명하다. 본 연구는 콘텐츠 관련 대학 및 기관이 많이 포진되어 있는 충청권 지역에서 지역 창업 활성화를 위한 테크숍 구축 방안을 제안하고 그 가능성을 타진해 보는 것을 목표로 한다. 이를 위해 테크숍의 구축 필요성을 검토해보고, 이에 부합하는 구축 방안을 제안하고 테크숍 운영에 필요한 구성 요소들에 대해 분석하였다. 제안하는 테크숍 구축이 이루어지고 효율적인 운영이 더해진다면, 좋은 아이디어를 기반으로 하는 시제품들이 빠르게 제작되어지고 상품화될 수 있기 때문에 지역 창업 활성화에 큰 도움이 될 것으로 기대된다.

• 한국CDE학회논문집
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• 제4권4호
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• pp.339-349
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• 1999

The punose of this paper is to introduce the comprehensive CAM system (called PosCAM) supporting various function requested from shop floor operators. PosCAM is comported of two subsystems (PosCAM I and PosCAM II) which are designed to make up for the contemporary CAD/CAM systems. PosCAM I is mainly for : a) verifying the part programs written in both custom macros and standard G-codes, b) enhancing machining productivity and quality with built-in cutting conditions and feedrate optimization algorithm. PosCAM II is for : a) efficiently managing the numerous part programs and tool data stored in CNC memory, and b) integratively controlling and monitoring various CNCs from the control center through RS-422 with DNC 2 protocol. The developed systems have been tested via various experiments, and can be Applied for the industrial CNC machine shop as a means for enhancing productivity. The PosCAM system has been implemented and successfully used in the Machine Shop Department of PosCAM since march 1998.

• 산업공학
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• 제15권4호
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• pp.356-363
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• 2002

Virtual Manufacturing is a technology to facilitate effective product development and agile production by computer models representing the physical and logical schema and the behavior of real manufacturing systems including manufacturing resources, environments and products. For the successful application of this technology, a virtual factory as a well-designed and integrated environment is essential. In this research, we constructed a sophisticated virtual factory model of an automotive company's paint shop, and performed precise simulations of unit cells, lines and whole plant operations for collision check and off-line programming. It is expected that this virtual paint shop is useful for achieving time and cost savings in many manufacturing preparation and planning activities of new car development processes.

• Industrial Engineering and Management Systems
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• 제7권2호
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• pp.84-92
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• 2008

Scheduling is one of the most important issues in the planning and operation of production systems. This paper investigates a general job shop scheduling problem with reentrant work flows and sequence dependent setup times. The disjunctive graph representation is used to capture the interactions between machines in job shop. Based on this representation, four two-phase heuristic procedures are proposed to obtain near optimal solutions for this problem. The obtained solutions in the first phase are substantially improved by reversing the direction of some critical disjunctive arcs of the graph in the second phase. A comparative study is conducted to examine the performance of these proposed algorithms.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2000년도 춘계공동학술대회 논문집
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• pp.609-612
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• 2000

Job-shop scheduling problem(JSSP) is one of the best-known machine scheduling problems and essentially an ordering problem. A new encoding scheme which always give a feasible schedule is presented, by which a schedule directly corresponds to an assigned-operation ordering string. It is initialized with G&T algorithm and improved using the developed genetic operator; APMX or BPMX crossover operator and mutation operator. and the problem of infeasibility in genetic generation is naturally overcome. Within the framework of the newly designed genetic algorithm, the NP-hard classical job-shop scheduling problem can be efficiently solved with high quality. Moreover the optimal solutions of the famous benchmarks, the Fisher and Thompson's 10${\times}$10 and 20${\times}$5 problems, are found.

• 산업경영시스템학회지
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• 제23권61호
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• pp.105-114
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• 2000

Job Shop Problem which consists of the m different machines and n jobs is a NP-hard problem of the combinatorial optimization. Each job consists of a chain of operations, each of which needs to be processed during an uninterrupted time period of a given length on a given machine. Each machine can process at most one operation at a time. The purpose of this paper is to develop the heuristic method to solve large scale scheduling problem using Constraint Satisfaction Problem method and Simulated Annealing. The proposed heuristic method consists of the search algorithm and optimization algorithm. The search algorithm is to find the solution in the solution space using CSP concept such as backtracking and domain reduction. The optimization algorithm is to search the optimal solution using SA. This method is applied to MT06, MT10 and MT20 Job Shop Problem, and compared with other heuristic method.

• 한국항공운항학회지
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• 제26권4호
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• pp.20-26
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• 2018

This study analyzes the economic effect of introducing the arrival duty - free shop at Incheon International Airport. Based on the estimated sales of KRW 127 billion for the duty-free shop at the port of entry, the international balance of payments was estimated at KRW 55.5 billion. Job creation was estimated at 530, including direct and indirect workforce. With the admission of arrival duty-free shops, duty-free shops in the airline are likely to see a decline in sales, helping to improve monopoly structure on the market structure side. It is expected that the rental income generated through the operation of the arrival duty-free shop will be used as a resource for social contribution activities, creating additional social economic effects.

• 대한조선학회논문집
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• 제43권3호
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• pp.392-398
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• 2006

A prototype of MES(Manufacturing Execution System) applied to panel assembly shop is implemented by using PDA(Personal Digital Assistant) and wireless database web server. The system is developed based on the Dot Net framework. The prototype can exchange the manufacturing execution data between production managers in the control room and workers in the factory through wireless internet communication. Manufacturing model of the panel shop is designed by using IDEF0 and UML method to understand the characteristics of the information and the data entities from the PPR-S view. Several issues in the shop were revealed from the manufacturing model analysis. The most typical problem was the lack of information sharing between the managing workers and the assembly workers. The problem prevents the workers and labors from sharing the process information and continuous workpiece flow In interactive way. To increase the information and data flow, a wireless internet based system is implemented and PDAs are linked together to exchange the process planning data and in-process data between the workers. It is anticipated that PDA and the implemented system can enable the process control at each process stages to obtain the well-organized operation.

• 대한기계학회논문집A
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• 제24권8호
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• pp.2131-2142
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• 2000

As recent production facilities are usually operated with unmanned material-handling system, the development of an efficient schedule with deadlock avoidance becomes a critical problem. Related researches on deadlock avoidance usually focus on real-time control of manufacturing system using deadlock avoidance policy. But little off-line optimization of deadlock-free schedule has been reported. This paper presents an optimization method for deadlock-free scheduling for Job-Shop system with no buffer. The deadlock-free schedule is acquired by the procedure that generates candidate lists of waiting operations, and applies a deadlock avoidance policy. To verify the proposed approach, simulation resultsare presented for minimizing makespan in three problem types. According to the simulation results the effect of each deadlock avoidance policy is dependent on the type of problem. When the proposed LOEM (Last Operation Exclusion Method) is employed, computing time for optimization as well as makespan is reduced.

• 복식문화연구
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• 제14권5호
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• pp.715-727
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• 2006

The purposes of this study are to investigate the job satisfaction, customer satisfaction and revisiting intention to beauty shops, and to examine the difference of the job satisfaction, customer satisfaction, and revisiting intention between franchised and non-franchised beauty shops. Data were obtained via questionnaire, which developed by results of pretest and previous studies, from workers and consumers of beauty shops in Busan. They were analyzed by factor analysis, t-test and regression. The results were as follows; First, the job satisfaction of beauty shops workers was composed of Adaptation, Operation and Instruction. For both of franchised and non-franchised beauty shops, the operation of beauty shops greaty influenced the job satisfaction of workers, and job satisfaction is not significantly different. Second, consumer satisfaction related to services of beauty shops is composed of three factors: Policy, Personal service, and Physical environment. Regardless of shop types, the policy of shop influenced the consumer satisfaction. Consumers' revisiting intentions to beauty shops are influenced by consumer satisfaction. Third, consumers in franchised beauty shops is less likely to be satisfied and to have the intentions to revisit than those of non-franchised beauty shops. Resulted provide some insights to develop strategies for franchised and non-franchised beauty shops. Limitations and future research directions have been discussed.