Computer-based production planning, scheduling and control: A review

Abstract

This research presents a review of computer-based production planning, scheduling, and control (CPPSC). The purpose of this study is to illustrate the progress made in the current research on the planning and control of production and scheduling. Twenty-two papers selected for this study focused on the recent trends, approaches, and problems associated with CPPSC. Progress in the manufacturing paradigm in engineering justified why CPPSC could be applied to a set of systems to increase the production of goods and services and to further highlight the relevance of the decisions made and why substantial progress was made in the development of the theory regarding decision making in each of those areas in the past. The integration of line balancing and process plan selection in the Smart Manufacturing System would lead to more efficient production processes, reduced downtime, and improved resource utilization. Additionally, it would provide a comprehensive view of the production environment, allowing for data-driven decision-making and optimization strategies. To demonstrate the effectiveness of this novelty approach, researchers could set up a real-world pilot in a manufacturing facility. They can compare production performance before and after implementing the AI-driven Smart Manufacturing System. Key performance indicators (KPIs) such as production throughput, machine utilization, cycle time, and lead time can be used to quantify the improvements. Furthermore, case studies and simulation scenarios can be used to validate the system's potential benefits in various manufacturing settings.