옴니채널 고려한 저 사고율 디지털 공급망 네트워크의 최적화
Optimization of Low-accident Rate Digital Supply Chain Network Considering Omni Channel
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초록
본 연구에서 운송과정 중에 발생할 수 있는 사고율을 낮추기 위해 옴니채널을 고려한 디지털 공급망 네트워크 (Digital supply chain network, DSCN)을 제시하고자 한다. 제시한 DSCN은 2차원 5단계의 구조 가지고 있다. 각 운송 노선의 사고율을 계산하여 가장 낮은 사고율을 가지고 있는 운송 노선으로 효율적인 공급 프로세스 구축을 통해 2차원적인 구조를 구현한다. 구축된 공급 프로세스는 총 5단계로 구성되었으며 그들은 각각 원자재공급업체, 제조업체, 분배업체, 소매업체, 최종 고객으로 구분된다. 이러한 2차원 5단계 구조 가지고 있는 DSCN의 공급 최적화 방안을 모색하기 위해 그의 수리모형을 구축하여 수치 예제를 실시한다. DSCN의 최적 해를 찾기 위해서 공학 분야에서 널리 사용하고 있는 JAYA 알고리즘과 유전 알고리즘(Genetic Algorithm, GA)과 결합하여 개선된 JGA 접근법을 공급망 네트워크에 처음으로 적용하여 그의 퍼포먼스를 검증하고자 한다. 수치 예제에서 5가지 상이한 규모의 DSCN을 제시하고, 이를 다양한 수행도 척도를 사용하여 JGA 접근법의 우수성을 확인하였다.
Abstract
This study aims to propose a digital supply chain network considering omni-channel to reduce the accident rates that may occur during transportation. The proposed Digital Supply Chain Network (DSCN) possesses a two-dimensional five-stage structure. By calculating the accident rates of each transport route and selecting the route with the lowest rate, an efficient supply process is established with implementing a two-dimensional structure. The constructed supply process consists of five stages in terms of raw material suppliers, manufacturers, distributors, retailers, and customers. To explore the optimization strategies for the DSCN with this two-dimensional, five-stage structure, a mathematical model is constructed and numerical examples are performed. To find the optimal solution for the DSCN, an improved JGA approach, combining the widely used engineering JAYA algorithm and genetic algorithms (GA), is applied for the first time to the supply chain network to verify its performance. In the numerical examples, five different scales of DSCN are presented, and the superiority of the JGA approach is confirmed using various performance metrics.
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