This study selected two labor-intensive processes in harsh environments among domestic food production processes. It analyzed their improvement effectiveness using 3-dimensional (3D) simulation. The selected processes were the “frozen storage source transfer and dismantling process” (Case 1) and the “heavily loaded box transfer process” (Case 2). The layout, process sequence, man-hours, and output of each process were measured during a visit to a real food manufacturing factory. Based on the data measured, the 3D simulation model was visually analyzed to evaluate the operational processes. The number of workers, work rate, and throughput were also used as comparison and verification indicators before and after the improvement. The throughput of Case 1 and Case 2 increased by 44.8% and 69.7%, respectively, compared to the previous one, while the utilization rate showed high values despite the decrease, confirming that the actual selected process alone is a high-fatigue and high-risk process for workers. As a result of this study, it was determined that 3D simulation can provide a visual comparison to assess whether the actual process improvement has been accurately designed and implemented. Additionally, it was confirmed that preliminary verification of the process improvement is achievable.

Recently, in the case of the root industry, although it is a basic industry that forms the basis of manufacturing competitiveness, there continues to be a shortage of manpower due to reasons such as dangerous working environments, industrial economic difficulties, and low wage systems. In addition, the demand for automation of production lines using robots is increasing due to a shrinking labor market due to a decrease in the working population due to aging, higher wages, shorter working hours, and limitations of foreign workers. In this study, a system was developed to automate the injection molding process for producing ball valves for automobiles by applying robot system. The applied process flow consists of alignment and insertion of insert parts, and removal, transfer, and loading of the product after injection molding, which is currently performed manually. Through the application of the developed robot automation system, the cycle time was improved by more than 30% and the defect rate was reduced by more than 70%.

This paper presents a log-transformed model-based performance analysis system for analyzing and improving manufacturing performance of the smart factory in the display business. Two years of data related to traditional manufacturing performance such as Cycle-time, WIP(Work-In-Process), and Throughput were investigated from the smart factory that producing the display for this research. We assessed manufacturing competitiveness based on how the operational level of automation affects improvements in manufacturing performances. We analyzed functional relationships between the indicators were derived using logtransformed regression analysis how the manufacturing performance indicators change according to the operational level of smart factory automation. As a result, we knew that the 170K production, which was planned capacity in the line design phase, achieved by running an automation level of only 59%. Based on this research, we suggest building an autopoietic optimize performance model to improving manufacturing competitiveness of smart manufacturing.

In this study, to reduce the weight of cross member assembly for small truck. In order to optimize the design of the cross member structure by changing the equation into the rivet coupling method, The size and the hole spacing of the large sheet plate, the rivet hole size of the large sheet plate, In the structural analysis, we looked at what was going to happen, and the tensile, shear The load test was carried out to investigate the damage caused by the maximum load acting on the rivet. Riveting work, but to improve productivity, we developed automated riveting device using robot To reduce the number of workers, reduce jig transfer and installation time, and reduce load factor. To produce the maximum output of the product.

한국의 김치산업은 위기에 직면하고 있다. 가격경쟁력이 약하여 중국산 김치의 수입은 매년 2만톤 이상 큰 폭으로 증가하고 있고, 최저임금의 상승으로 원가압력은 가중되고 있다. 한국의 김치공장은 3D 업종으로 외국인 노동자가 일하는 곳으로 전락되고 있다. 지금까지 십수년간 여러 가지 품질차별화 전략을 시도하였지만 김치의 수입은 늘고 수출은 정체되고 있다. 이러한 상황을 타파하려면 김치 제조공정의 자동화로 제조원가를 낮추어 가격경쟁력을 확보하는 수밖에 없다. 김치공장의 자동화는 가능하다. 특히 막김치 생산 공정은 이미 부분적으로 자동화가 진행되고 있어서, 주위의 ICT, robot, big data 등 진보된 기술을 융합하면 김치공장의 노동생산성을 획기적으로 높여 제조원가를 크게 낮출 수 있다. 중국산 김치와 경쟁할 수 있는 혁신적인 막김치 생산 공정을 설계하고, 배추상자 자동 쏟기 장치, 배추 부위별 절단장치, 가압 연속 절임 세척 접종 장치, 자동 계량 포장 장치를 개발하여, 막김치를 시간당 600kg 생산할 수 있는 모델공장을 개발하고자 한다. 이를 통해 3D공장을 3C공장으로 전환시키고, 중국산 김치와 가격과 품질 면에서 경쟁력 있는 김치의 생산이 가능함을 실증하며, 양질의 일자리를 창출할 수 있을 것이다.

This paper suggests a specific model that could efficiently improve the interaction and the interface between MES(Manufacturing Execution System) server and POP(Point of Production) terminal through electronic document server and electronic pen, bluetooth receiver and form paper in disassembly and process inspection works. The proposed model shows that the new method by electronic document automation system can more efficiently perform to reduce processing time for maintenance work, compared with the current approach by handwritten processing system. It is noted in case of the method by electronic document automation system that the effects of proposed model are as follows; (a) While the processing time per equipment for maintenance by the current method was 300 minutes, the processing time by the new method was 50 minutes. (b) While the processing error ratio by the current method was 20%, the error ratio by the new method was 1%.

In an automated industry PLC plays a central role to control the automation system. Therefore, fault free operation of PLC controlled automation system is essential in order to maximize a firm’s productivity. A prior test of control system is a practical way to check fault operations, but it is a time consuming job and can not check all possible fault operation. A formal verification of PLC program could be a best way to check all possible fault situation. Tracing the history of the study on formal verification, we found three problems, the first is that a formal representation of PLC control system is incomplete, the second is a state explosion problem and the third is that the verification result is difficult to use for the correction of control program. In this paper, we propose a transformation method to reproduce the control system correctly in formal model and efficient procedure to verify and correct the control program using verification result. To demonstrate the proposed method, we provided a suitable case study of an automation system.