Productivity Scheduling Method: Linear Schedule Analysis with Singularity Functions

This paper describes a new integrated method of linear schedule analysis using singularity functions. These functions have previously been used for structural analysis and are newly applied to scheduling. Linear schedules combine information on time and amount of work for each activity. A general model is presented with which activities and their buffers can be mathematically described in detail. The algorithm of the new method forms the body of the paper, including the steps of setting up initial equations, calculating pairwise differences between them, differentiating these to obtain the location of any minima, and deriving the final equations. The algorithm consolidates the linear schedule under consideration of all constraints and, thus, automatically generates the minimum overall project duration. The model distinguishes time and amount buffers, which bears implications for the definition and derivation of the critical path. Future research work will address float and resource analysis using the new model. DOI: 10.1061/ ASCE 0733-9364 2009 135:4 246 CE Database subject headings: Scheduling; Critical path method; Network analysis; Geometry; Time dependence; Productivity.

[1]  I-Tung Yang,et al.  Discussion of "Comparison of Linear Scheduling Model and Repetitive Scheduling Method" , 2004 .

[2]  W. H. Wittrick A generalization of macaulay's method with applications in structural mechanics , 1965 .

[3]  Yvan J. Beliveau,et al.  HVLS: Horizontal and Vertical Logic Scheduling for Multistory Projects , 1994 .

[4]  Patricia D. Galloway,et al.  Survey of the Construction Industry Relative to the Use of CPM Scheduling for Construction Projects , 2006 .

[5]  Kris G. Mattila,et al.  Comparison of Linear Scheduling Model and Repetitive Scheduling Method , 2003 .

[6]  David Arditi,et al.  Line‐of‐Balance Scheduling in Pavement Construction , 1986 .

[7]  Oldrich Stradal,et al.  Time Space Scheduling Method , 1982 .

[8]  James E. Rowings,et al.  Linear Scheduling Model: Development of Controlling Activity Path , 1998 .

[9]  Onur Behzat Tokdemir,et al.  CHALLENGES IN LINE-OF-BALANCE SCHEDULING , 2002 .

[10]  David J. Harmelink Linear scheduling model: float characteristics , 2001 .

[11]  Alan D. Russell,et al.  Extensions to Linear Scheduling Optimization , 1988 .

[12]  David W. Johnston,et al.  Application of Linear Scheduling , 1986 .

[13]  Dulcy M. Abraham,et al.  Linear scheduling: past research efforts and future directions , 1998 .

[14]  Gunnar Lucko Flexible modeling of linear schedules for integrated mathematical analysis , 2007, 2007 Winter Simulation Conference.

[15]  Rehab Reda,et al.  RPM: Repetitive Project Modeling , 1990 .

[16]  Onur Behzat Tokdemir,et al.  Effect of learning on line-of-balance scheduling , 2001 .

[17]  Photios G. Ioannou,et al.  Scheduling projects with repeating activities , 1998 .

[18]  Alan D. Russell,et al.  New Generation of Planning Structures , 1993 .

[19]  O Moselhi,et al.  Optimized Scheduling of Linear Projects , 2003 .

[20]  Tarek Hegazy Critical Path Method–Line of Balance Model for Efficient Scheduling of Repetitive Construction Projects , 2001 .