China
Africa
Explore chapters and articles related to this topic
Project Management Solutions for The Year 2000 Crisis
Published in Paul C. Tinnirello, Project Management, 2017
Many people believe that the Year 2000 problem is solely a minicomputer or mainframe issue, especially ones running COBOL-based and other third-generation applications. Wrong. Even the tiny microcomputer must face the Year 2000 problem. After all, time waits for no one or anything. Users of pre-Pentium microcomputers must face, for example, the year 2000 for applications and data.
Make software secure
Published in Michael Wiklund, Kimmy Ansems, Rachel Aronchick, Cory Costantino, Alix Dorfman, Brenda van Geel, Jonathan Kendler, Valerie Ng, Ruben Post, Jon Tilliss, Designing for Safe Use, 2019
Michael Wiklund, Kimmy Ansems, Rachel Aronchick, Cory Costantino, Alix Dorfman, Brenda van Geel, Jonathan Kendler, Valerie Ng, Ruben Post, Jon Tilliss
In the late 1990s, there was some panic and a lot of remedial work performed to avoid harms related to the Y2K (i.e., Year 2000) problem-that is, computer code written in the 20th century, which used two-digit year indicators, not being able to recognize that “00” referred to “2000” rather than “1900.” Ultimately, there were no widespread problems or stories of Y2K-related tragedies.
Data-driven operations and supply chain management: established research clusters from 2000 to early 2020
Published in International Journal of Production Research, 2022
Duy Tan Nguyen, Yossiri Adulyasak, Jean-François Cordeau, Silvia I. Ponce
Through statistics, optimisation (Tiwari, Wee, and Daryanto 2018) and other supply chain analytics tools and techniques (Chae, Olson, and Sheu 2014), data have long been exploited in operations and supply chain management (OSCM), where production and logistics play key roles. Indeed, since 2000, the cusp of the new millennium and a period of vast enterprise resource planning (ERP) adoption where companies sought solutions to the Y2K (Year 2000) problem (Irani, Themistocleous, and O’Keefe 2001), data-driven decision-making has received increasing attention from production researchers (Kuo and Kusiak 2019) as such technological advances increase the possibility to collect and, later on, leverage data. Empirical research has shown positive correlation between the use of data-based tools and OSCM efficacy in multiple countries and industries (see Chae, Olson, and Sheu 2014; Chavez et al. 2017; Song et al. 2018).