TY - GEN N2 - This book systematically analyzes the applicability of big data analytics and Industry 4.0 from the perspective of semiconductor manufacturing management. It reports in real examples and presents case studies as supporting evidence. In recent years, technologies of big data analytics and Industry 4.0 have been frequently applied to the management of semiconductor manufacturing. However, related research results are mostly scattered in various journal issues or conference proceedings, and there is an urgent need for a systematic integration of these results. In addition, many related discussions have placed too much emphasis on the theoretical framework of information systems rather than on the needs of semiconductor manufacturing management. This book addresses these issues. DO - 10.1007/978-3-031-14065-5 DO - doi AB - This book systematically analyzes the applicability of big data analytics and Industry 4.0 from the perspective of semiconductor manufacturing management. It reports in real examples and presents case studies as supporting evidence. In recent years, technologies of big data analytics and Industry 4.0 have been frequently applied to the management of semiconductor manufacturing. However, related research results are mostly scattered in various journal issues or conference proceedings, and there is an urgent need for a systematic integration of these results. In addition, many related discussions have placed too much emphasis on the theoretical framework of information systems rather than on the needs of semiconductor manufacturing management. This book addresses these issues. T1 - Production planning and control in semiconductor manufacturing :big data analytics and Industry 4.0 applications / AU - Chen, Tin-Chih Toly, CN - HD9696.S42 ID - 1452982 KW - Semiconductor industry KW - Product coding SN - 9783031140655 SN - 3031140656 TI - Production planning and control in semiconductor manufacturing :big data analytics and Industry 4.0 applications / LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-14065-5 UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-14065-5 ER -