본 연구의 목적은 Y-Balance Test(YBT)를 통하여 무게부하 증가가 동적 균형에 미치는 영향을 알아보고자 하였다. 연구의 대상자는 20-30대 남녀 성인 18명(연령: 23.17±1.72 years, 신장: 172.46 ±9.84 cm, 체중: 73.39±11.44 kg 다리길이: 88.89±5.69 cm)이 실험에 참여하였다. 동적 균형 측정을 위하여 YBT를 통하여 도달거리와 종합점수, COP 변인들을 측정하여 결과를 도출하였다. 연구결과로 YBT 시 후내측과 후외측 도달거리, 종합점수에서 무게부하일 때 동적 균형이 향상되었다. COP 결과로, 전방 도달 동안 전후진폭, 좌우 COP속도, COP 면적은 오른발에서 무게부하 시 동적 균형이 향상되었지 만, 후내측 도달 동안 차이가 없었고, 후외측 도달 동안 좌우진폭은 왼발에서, 전후 COP속도는 왼발, 좌우 COP속도와 COP속도는 좌우발에서, COP 면적은 좌우발의 무게부하 시 동적 균형이 향상되었다.
글로벌 경제 침체 속에서 기업은 날로 높아져 가는 소비자들의 수요를 만족하기 위하여 납기 대응 그리고 LB(Line Balance, 라인편성효율) 향상과 제조원가의 절감을 위한 생산성 향상은 중요한 개선 항목이다. 따라서 본 연구에서는 자동차 물류 중 조달물류를 대상으로 하여 불출자의 로드밸런스율을 증대할 수 있는 휴리스틱 알고리즘 개발에 대하여 연구를 진행함으로써 1차 목표 값을 적용하였을 load balancing율은 45.6%에서 91.7%로 개선 된 것을 확인할 수 있었다.
Companies are pursuing the management of small quantity batch production or JIT(Just-in-time) system for improving the delivery response and LOB(Line Balancing) in order to satisfy consumers’ increasing demands in the current global economic recession. And in order to improve the growth of production for reducing manufacturing cost, improvements of the Load Balancing have become an important reformation factor. Thus this paper is aimed at warehouse which procures materials on the assembly line in procurement logistics of automotive logistics and proceed with research on heuristic algorithm development which can increase the Load Balancing of workers. As a result of this study, when applied the primary target value, it was verified that the whole workers decreased from 28 to 24. Furthermore, when specified the secondary target value and applied algorithm once more, it was verified that the Load Balance Ratio was improved from 44.96% to 91.7%.
The efficiency of the purchasing and procurement logistics is important in automotive industry. The rationalization of production system is directly impact on productivity and quality. For this reason importance of logistics is high. Despite we are continuously making effort, our country are still below the level than developed country on logistics efficiency. Rising labor costs is an important factor in increasing logistics costs. So workforce reduction in logistics department is a large part. We deal with A-company inbound logistics, especially procurement logistics in automotive logistics as research object. So in this study we do research on work load balance about workers. We do research on 1,475 kinds of components in procurement process. We applied work load balance algorithm on chassis, final, sequence, trim warehouses workers. According to number of workers and average M/H, algorithm is applied in two ways. After applied work load balance algorithm we reduced numbers of workers from 28 to 20 and improved worker load balance rate from 47.1% to 93.7%