One of the most important national tasks of the current administration is to realize social value and boost the economy. In the road sector, it is particularly important to ensure the road sectors public good and create jobs based on the Framework Act on the Realization of Public Institutions’ Social Value (Proposal). In regard to job creation in the road sector, however, there has so far been a lack of career management for construction engineers. In this regard, this study used Monte Carlo simulation and analyzed how to estimate the amount of manpower required to efficiently manage engineering human resources in the road sector. Monte Carlo simulation uses random numbers for prediction and estimation, extracts values repeatedly from a probability distribution predefined by the user, and performs tasks on various scenarios. This study made the following assumptions for the analysis: (a) researchers’ abilities were identical; (b) the research project was analyzed on a 1 year basis while technical advice was analyzed on a 9-week basis to reflect the characteristics of the road sector; (c) technical advice had the same probability from Week 1 to Week 52; (d) the amount of manpower required for a project carried over to the next year was input at the beginning of the year; and (e) the largest amount of manpower required at any particular time in a year was calculated and estimated as required manpower. The input variables were an estimated number of project and technical advice in each research field while the output variables were the amount of manpower and technical advice required for each research project. Simulation was performed 10,000 times. An analysis found that required number of manpower for case analysis was 75 as opposed to the current number of 66, assuming that 57 research projects were undertaken and technical advice was provided 223 times. Every sector is making efforts to create social value through various means. The field of construction social overhead capital is no exception. It has undertaken a very important task to ensure the role of roads in public good and create jobs. However, there is still a lack of objective approach to estimate the required amount of manpower. Thus, as done in this study, calculating required manpower through the simulation method would be useful as an objective evidence for job creation.

최근 건강에 대한 관심의 증가와 고령화 사회의 진입으로 인해 센서 기반 스마트 의류는 다양한 어플리케이션과 타입으로 개발되고 있다. 센서기반 스마트 의류는 인체로부터 생체 신호를 측정, 모니터링을 주 목적으로하는 기능성 의류의 한 분야로 신호의 정확성, 기기의 착용성, 센서의 인체 적합성 등의 인체-기기-의류간의 상호작용을 고려하여 디자인되어야 한다는 점에서 기존의 스마트 의류와 다른 특성을 지닌다. 센서기반 스마트 의류의 이러한 특성은 의복의 제작 단계에 있어 요구공학의 단계를 기반으로 개발 목적에 대한 요구의 명확한 문서화 뿐 아니라, 각 단계 진행을 위해 기기분야와 의류분야간의 상호운용성 평가가 이루어져야 하는 필요성을 갖을 것으로 예상된다. 따라서, 본 연구에서는 요구공학이 적용된 센서 기반 스마트 의류 프로세스의 효용성 평가를 위해 실증적 수행 분석을 통해 스마트 의류의 기본 프로세스를 도출하고, 요구공학 분석기법의 단계를 도입하여 두가지 스마트 의류 프로세스를 도출하였다. 제시된 두 프로세스의 실증적 단계별 진행을 통해 프로세스의 효율성 및 디자인의 질적 평가를 수행하였으며, 요구공학이 적용된 센서 기반 스마트 의류의 프로세스의 효용성을 제시하였다.