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The development of digitalization has a positive impact to opportunity expand an innovation as a form of continuous improvement. One of the manufacturing companies, PT TCH, wants to implement Industry 4.0 innovation with the thought of integrating data and analytics supply chains. One of its applications is labeling error with a proportion value of 66% with an average error of 328 by creating a warning system for the Kanban system through the application of Quality Control Circle (QCC). The improvements made applying concepts Plan, Do, Check, and Action (PDCA) analysis by making improvements to the labeling system created from the PO database in marketing and creating a visualization of parts to help leverage product suitability. The results showed improvement with the decrease in cycle time from 265 seconds to 215 seconds and saving the cost IDR 70.48391 million / year. This research contributes theoretically in demonstrating the success of the application of QCC and in practical terms, it can provide a continuous increase in productivity and an actual decrease in process activities in the company.

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Human errors are inevitable due to the mass customization and complex supply chain, which must be considered in the Material Resource Planning (MRP) explosion calculation and the Supply Chain Procurement (SCP) distribution of sales orders. Such errors lead to SCP problems with the subject company. The research presents the design and implementation of an integrated information system of MRP and SCP. The objective is to solve the issues in the subject company by designing and implementing an Integrated Information System (IIS) framework with an open-source software platform, which utilizes a generic Bill-of-Materials (BoM) explosion algorithm to calculate the MRP of customers’ sales orders. Then, an algorithm is also proposed to calculate SCP distribution to enable the framework in the implementation stage. The research subject is the process business in Indonesia’s local Original Equipment Manufacturer (OEM) for automotive components. The name of the company is concealed to be XYZ Company. The calculation is introduced in the testing phase to illustrate the algorithm’s mechanism. This approach ensures a valid calculation of efficient supply chain processes. The combined approaches in the subjected business process yield satisfactory results. It reduces significant issues to 12.5% for the stated problems. Hence, the design objective is achieved.

Control systems and computer science are two distinct and important fields of engineering. The development of cloud computing in computer science has become an enabler for the widely used controller in control systems to migrate to the cloud and has created a new field of research in cloud-based control systems (CCS). The paper used the systematic literature review approach to obtain insight into current CCS research. The objectives include a review in areas such as the demographics, topics of the research, evaluation method, and application domain. To that end, systematic literature review (SLR) has been conducted. The study obtained 64 primary studies from 581 articles. The CCS has a distinct characteristic; despite the fact that the cloud and network dynamics system, when coupled with the controlled plant, is inherently nonlinear, research efforts have used linear models with optimal control to approach it successfully in a limited case of control objectives. Furthermore, cloud-centric and cloud-fog network architecture approaches are considered in the studies—whereas, the quantitative method mainly uses simulation and discussion. Finally, the SLR summarizes open challenges for CCS in the future.