TY  - CONF
TI  - Probabilistic Scheduling for Repetitive Projects
AU  - Ioannou, Photios G.
AU  - Srisuwanrat, Chachrist
AD  - Professor, Civil and Environmental Engineering Department, Univ. of Michigan, MI 48109-2125, Phone +1 734/764-3369, FAX +1 734/764-4292, photios@umich.edu
AD  - Doctoral Candidate, Civil and Env. Engineering. Department, Univ. of Michigan, MI 48109-2125, Phone +1 734/764-3369, FAX +1 734/764-4292, christ_cv@hotmail.com
ED  - Pasquire, C.L, Christine L.
ED  - Tzortzopoulos, Patricia
PY  - 2007
DA  - 2007/07/18
T2  - 15th Annual Conference of the International Group for Lean Construction
C3  - 15th Annual Conference of the International Group for Lean Construction
CY  - East Lansing, Michigan, USA
SP  - 498
EP  - 507
AB  - The sequence step algorithm for probabilistic scheduling of repetitive projects is a generalized methodology for scheduling projects with activities that repeat from unit to unit and have probabilistic durations. In simple terms it can be compared to PERT but for resource-constrained scheduling. The sequence step algorithm addresses for the first time the problem of scheduling repetitive projects with probabilistic activity durations while keeping resources (crews) employed continuously. This algorithm can be implemented in most general-purpose simulation systems. The algorithm is presented in detail and is applied to an example project with 7 activities and 4 repetitive units using a simulation model developed in Stroboscope, an activity-based simulation system. Numerical and graphical results help explain the algorithm and provide insight into the underlying tradeoff problem between reducing the expected crew idle time and increasing the expected project duration.
KW  - Scheduling
KW  - repetitive projects
KW  - linear projects
KW  - line of balance
KW  - probabilistic scheduling
KW  - resource continuous constraints
KW  - uninterrupted work flow
KW  - simulation.
L1  - https://www.iglc.net/papers/details/495/pdf
UR  - https://www.iglc.net/papers/details/495
DB  - IGLC.net
LA  - English
N1  - Export date: 04 October 2026
ER  -