Abstract
Supply chain systems have become crucial in today's highly competitive and ever-changing industrial environment; hence, effective management of supply chains is required to achieve operational excellence. Planning is the first stage of supply chain systems and is crucial to ensure overall optimization of the supply chain and business sustainability. With various business processes adopting industry 4.0 technologies for optimization, the supply chain system is not an exception. Also noting that, organizations based in the least developed and developing countries need more support in adopting 4IR technologies. Thus, the objective of the study is to investigate, through literature, the key 4IR technologies that have been applied within the supply chain planning phase of manufacturing organizations. A fivestep systematic literature review was adopted to carry out the research. The steps included the identification and selection of a database, keywords development, and selection of inclusion and exclusion criteria through database filters and search categories. The findings of this systematic review revealed Industry 4.0 technologies that have been deployed in the supply chain planning phase of manufacturing organizations. These include Simulation, Machine Learning, Digital Twin, and Internet-of-things. While manufacturing supply chain planning departments are faced with myriads of operational challenges and constraints, the deployment of Industry 4.0 technologies serves as a potential solution towards promoting effective supply chain operations, thereby stimulating sustainable supply chain management. The results of this study serve as a revelation to Supply Chain Managers to identity the latest trends and gain insights into appropriate Industry 4.0 technologies that could be deployed to ensure effective supply chain planning.