Smart Supply Chain Management A Review And Implications For Future The purpose of this paper is to study and explore the currents status and remaining issues of smart supply chain management. a literature review is conducted to synthesize the earlier work in this area, and to conceptualize and discuss the smart supply chain characteristics. The paper provides original and relevant guidance for supply chain management researchers and practitioners on developing smart supply chains with unprecedented opportunities for achieving cost reduction and enhancing efficiency improvement. | pdf or rent in article galaxy.
Pdf Supply Chain Management In Future New practices, tools, and technologies are revolutionizing supply chain operations, making them more efficient. cutting edge technologies such as ai, blockchain, big data, and augmented reality enhance supply chain management procedures. These technologies enable the creation of smart scs, which promise to address the intricate challenges of the current era. this chapter aims to provide readers with a comprehensive understanding of what a smart sc is and why it is crucial for the future of global business. To overcome this challenge, smart supply chain management (sscm) uses several technologies such as big data (bd), the internet of things (iot), blockchain, artificial intelligence (ai), and advanced robotics (ar) to analyze data, and identifies trends and opportunities in the market that enhance the effectiveness of logistics, whether inside or. Smart supply chain management : a review and implication for future research. availability: find a library where document is available. order url: library.northwestern.edu find borrow request requests interlibrary loan lending institutions ; authors: wu, lifang; publication date: 2016; language . english; media info.
Sustainable Supply Chainmanagement Evolution Andfuture Docx To overcome this challenge, smart supply chain management (sscm) uses several technologies such as big data (bd), the internet of things (iot), blockchain, artificial intelligence (ai), and advanced robotics (ar) to analyze data, and identifies trends and opportunities in the market that enhance the effectiveness of logistics, whether inside or. Smart supply chain management : a review and implication for future research. availability: find a library where document is available. order url: library.northwestern.edu find borrow request requests interlibrary loan lending institutions ; authors: wu, lifang; publication date: 2016; language . english; media info. Wu et al. (2016) investigates the current research status and future trends for smart supply chain management. it classifies the topics of smart supply chain management into five parts,. This paper seeks to identify the contributions of artificial intelligence (ai) to supply chain management (scm) through a systematic review of the existing literature. to address the current scientific gap of ai in scm, this study aimed to determine the current and potential ai techniques that can enhance both the study and practice of scm. The review is aimed at addressing two research objectives: (1) how the notions of traceability and visibility in supply chain management develop contrast in terms of their thematic emphasis and (2) to attain an integrative understanding of the notional convergence and divergence between supply chain traceability and visibility for raising. Understanding how industry 4.0 and related ict affect smart supply chains and how smart supply chains evolve with the support of the advanced technologies are vital to practical and academic communities.