China
Africa
Explore chapters and articles related to this topic
.NET, ActiveX, and COM
Published in Rick Bitter, Taqi Mohiuddin, Matt Nawrocki, LabVIEW™ Advanced Programming Techniques, 2017
Rick Bitter, Taqi Mohiuddin, Matt Nawrocki
The data cluster is sent to the database using the INSERT INTO command. This command is used to insert single records into the destination Table. The syntax for this command is as follows: INSERT INTO Table name (field 1, field 2, ..) VALUES (‘data 1’, ‘data 2’, ..). The first half of the statement is generated outside of the For loop because it is constant. The data values are added to the statement inside the For loop. Each of the elements of the cluster is an array. The loop is auto-indexed to execute as many times as there are elements. The second half of the command is generated only as many times as needed to get the data across to the Table.
Linking Factory Floor and the Internet
Published in Richard Zurawski, Industrial Communication Technology Handbook, 2017
The most essential command is SELECT, which allows searching the database by defining a search query. Compared with LDAP, the SELECT statement in SQL provides much more complexity. Write operations on tables are performed with the UPDATE and the INSERT statements, where INSERT creates new rows in a table, while the UPDATE completely or partly overwrites existing rows. The CREATE and DROP statements are used for creating and removing database objects (primarily, tables). The gateway logic must comprise appropriate modules to parse and handle the SQL statements in order to perform the operations on the database.
Newton projection method as applied to assembly simulation
Published in Optimization Methods and Software, 2022
S. Baklanov, M. Stefanova, S. Lupuleac
Suppose we have a block matrix with a known Cholesky factorization If we insert a row and a column to get a new matrix then the factorization will be where and Chol means Cholesky factorization.
A framework to assess sustaining continuous improvement in lean healthcare
Published in International Journal of Production Research, 2021
Daniel Barberato Henrique, Moacir Godinho Filho, Giuliano Marodin, Ana Beatriz Lopes de Sousa Jabbour, Charbel Jose Chiappetta Jabbour
The qualitative data analysis began with a within-cases analysis followed by a cross-cases analysis (Miles and Huberman 1994). The researchers familiarised themselves with over 100 pages of transcribed interviews and they had several meetings after the interviews to compare and contrast hospital units. The qualitative analysis started with a within-cases analysis of each hospital unit to understand how they did or did not sustain the lean implementations. The researchers read the interviews’ transcripts individually and filled out the framework for the CSFs in four columns. The first column was to check for the presence or not of each CSF on the hospital unit. The second column was to include quotes from the interviews with evidences of the presence or not of each CSFs. The third column was for the researchers to include sentences of the interviews that would support the importance of that CSFs to the cases according to the interviewees. The forth column was to insert statements that exemplify the impact of the existence or not of the CSFs. Case summary reports were prepared and reviewed to improve validity (Yin 2003). Then, we conducted a cross-cases analysis of hospital units to compare units with higher and lower levels of sustainability of lean. The cross-cases comparisons helped rule out hospital unit-specific characteristics and extract common reasons. This resulted in validating the first-order concepts of sustaining lean in healthcare found previously in the literature and originated new success factors. These analyses came from comments, interviews, primary observations and materials analysed. The relevant literature was incorporated at this stage to conceptually understand the emerging concepts, which also provided an additional source of validation (Eisenhardt 1989).
Models and algorithms for maximum flow problems having semicontinuous path flow constraints
Published in IISE Transactions, 2018
Robert M. Curry, J. Cole Smith
Improvement Step 1. If contains active-nonstable arcs (see Section 4.1), then go to Improvement Step 2. Otherwise, the set of paths p1, p2, …, pk having respective flows f1, f2, …, fk corresponds to a feasible MFP-D solution. Insert a dummy null path having flow and go to Improvement Step 3.