본 연구의 목적은 심화되는 글로벌 경쟁 속에서 국내 방산업체 수출의 선순환 구조 마련을 위한 글로벌 부품공급망 진입방안을 모색하는 데 있 다. 아울러 어떻게 맞춤형 방산 부품 수출을 활성화할 것인가에 대한 정 책 대안을 제시하고자 한다. 글로벌 부품공급망의 이론적 논의를 바탕으 로 국내 중소방산업체의 현황을 분석하고 세계 방산시장으로 진출하기 위해 다음과 같은 방향을 제시한다. 첫째, 방산수출 규모의 지속적인 확 대를 위해서는 수출지향적인 방위산업 정책의 확대 시행, 신시장 개발을 위한 권역별‧국가별･품목별 정보망의 확보, 중소기업군을 포함한 국내 방 산업계의 글로벌 경쟁력 강화 조치가 시급하다. 둘째, 방산 부품 수출 활 성화를 위해서는 품목을 다양화하고 글로벌 방산기업의 부품공급망에 진 입하여 완성품뿐만 아니라 수리부속, MRO, 잉여장비 등 수출품목을 다 양화할 수 있는 지원제도 보완이 이루어져야 한다. 셋째, 중소기업이 국 내의 체계기업 협력업체로 참여하는 수준에서 벗어나 특화된 기술력을 갖춘 경쟁력 있는 기업으로 성장할 수 있도록 중소·벤처기업의 글로벌 부품공급망에 참여할 수 있는 지원이 필요하다. 마지막으로 산업·금융 등 다양한 분야와의 연계가 요구되는 상황에서 수출지원을 위한 전문기관· 인력 등 인프라는 여전히 부족하므로 수출 인프라의 보완이 필요하다.

Korea's defense industry has been fostered as a protection industry in which the government directly controls prices, quantities, and costs for the past 40 years, and it is deepening into a low-efficiency industrial structure. By implementing the Defense Industry Building Act in 2021, the government is creating a healthy ecosystem for the defense industry and strengthening its global competitiveness. In this study, based on KPC's Productivity Management System (PMS), a diagnostic model of defense companies that has been implemented since 2013, on-site diagnosis was performed from 4 to 28 days depending on the size of the company, and data was collected based on the results. For the effect of innovation capability on productivity performance, the causal relationship was analyzed through structural equation model path analysis. As a result, it suggests that defense materials suppliers should focus on which core processes to innovate and strengthen and improve their innovation capabilities.

In the defense acquisition, a company’s goal is to maximize profits, and the government’s goal is to allocate budgets efficiently. Each year, the government estimates the ratio of indirect cost sector to defense companies, and estimates the ratio to be applied when calculating cost of the defense articles next year. The defense industry environment is changing rapidly, due to the increasing trend of defense acquisition budgets, the advancement of weapon systems, the effects of the 4th industrial revolution, and so on. As a result, the cost structure of defense companies is being diversifying. The purpose of this study is to find an alternative that can enhance the rationality of the current methodology for estimating the ratio of indirect cost sector of defense companies. To do this, we conducted data analysis using the R language on the cost data of defense companies over the past six years in the Defense Integrated Cost System. First, cluster analysis was conducted on the cost characteristics of defense companies. Then, we conducted a regression analysis of the relationship between direct and indirect costs for each cluster to see how much it reflects the cost structure of defense companies in direct labor cost-based indirect cost rate estimates. Lastly a new ratio prediction model based on regularized regression analysis was developed, applied to each cluster, and analyzed to compare performance with existing prediction models. According to the results of the study, it is necessary to estimate the indirect cost ratio based on the cost character group of defense companies, and the direct labor cost based indirect cost ratio estimation partially reflects the cost structure of defense companies. In addition, the current indirect cost ratio prediction method has a larger error than the new model.