Optimization analysis for design and planning of multi-project programs

The resource allocation syndrome: the prime challenge of multi-project management?

“…This is the most discussed reason in the literature [7,16]. By appropriate multi-project scheduling, employed resources are supposed to move from one project to another as in an efficient machinery.…”

“…Even though influential thinkers [4,5] predicted this situation decades ago, research on these multi-project settings has traditionally been sparse. However, following the seminal work of Gareis [6], a number of articles have addressed issues such as multi-project scheduling [7], strategies for composing project portfolios [8][9][10][11], nature of program management [12][13][14], resource allocation between simultaneous projects [15][16][17], interproject learning [18], and organizing mechanisms in projectified organizations [19][20][21][22].…”

BIM-Based 4D Simulation to Improve Module Manufacturing Productivity for Sustainable Building Projects

“…To resolve the resource-constrained multi-project scheduling problem, researchers have applied several different methodologies (Table 1), which can be loosely classified as either heuristic approaches or mathematical analyses. These include zero-one programming techniques, branch-and-bound dynamic programming, and genetic algorithms [11][12][13][41][42][43][44]. A new methodology has been proposed that combines genetic algorithms and heuristic techniques [14,41], but this type of approach suffers from a limited ability to optimize factory processes that involve clustered variables such as resources, equipment, people, and processes.…”

“…Mohanty and Siddiq [11] Vercellis [12] Elsayed et al [47] Boctor [48] Advanced heuristic techniques Lawrence and Morton [13] Wiley et al [44] Kumanan et al [14] Goncalves et al [41] Simulation approaches Borrego [45] Liu [46] Mohamed et al [15] Taghaddos et al [49,50] In Borrego's model, a module manufacturing yard schedule is created that determines and simulates the order of priority based on priority dispatching rules and 3D visualization [45]. Here, the simulation model for each event is connected to a module manufacturing yard where a variety of processes occur simultaneously, and the interactions between these processes are analyzed.…”

A genetic algorithm for the resource constrained multi-project scheduling problem

“…Several approaches of this class have been proposed in the literature, e.g., Fendley (1968), Kurtulus and Davis (1982), Kurtulus and Narula (1985), Dumond and Mabert (1988), Tsubakitani and Deckro (1990), Lawrence and Morton (1993), Wiley et al (1998), Ash (1999), Lova et al (2000), Shankar and Nagi (1996), and Mendes (2003).…”