マトリックス・アプローチによるサプライチェーン業務の情報ネットワークの定量評価

Each supply chain (SC) organization performs the generation of information, including information about inventory on demand, capacity, and delivery times. Supply chain management (SCM) is carried out using such information. In short, a successful SCM will give you the information you need, so it's important to build a good information network between your organizations. However, there are few quantitative methods for assessing the validity of information networks in SCs. We developed a method to quantitatively evaluate the validity of information networks for managing SCs by main subjects. In this way, we focus on the differences in the structure of information networks for each type of information, divide the information network into some kind of subnetwork according to the type of information, evaluate each subnetwork, obtain the evaluation index SCV as the weighting level of each subnetwork, and comprehensively evaluate the information network as SCV. Using the quantitative evaluation method we developed, we have created a platform for the delivery adjustment work of plastics wire. We tried quantitative evaluation of production seat system and SC quantitative evaluation of production seat system by adding AI, which has been attracting attention in recent years, and evaluated the function and effect as an example.