Real-time supply chain performance management: An IoT-based framework for continuous improvement

The aim of this paper is to develop a real-time decision alignment based on Internet of Things (IoT). This paper presents a dynamic framework for supply chain performance management (SCPM) by adaptive approach. First, improving the SCPM by aligning different levels of decision making in an integrated process of transform strategies into action plans. Second, improving the SCPM by using feedback-based decision making. The proposed framework is based on change detection, event-driven planning and dynamic decision alignment. In this study, decisions are categorized into two levels, namely, a decision-making based process and decision support system (DSS) based decisions due to their nature. This dynamic solution includes strategic decisions, operational decisions and two decision levels alignment, where a decision-making based process for high level and DSS for low level is proposed. By using supply chain operations reference (SCOR) model, all of the metrics would be integrated. To develop this framework, we employ the concepts of supply chain management, SCPM, strategic design approach, multi objective techniques and SCOR.