The impact of uncertainty and ambiguity related to iteration and overlapping on schedule of product development projects

Yang, Qing; Lu, Ting; Yao, Tao; Zhang, Bo

doi:10.1016/j.ijproman.2013.10.010

Cited by 50 publications

(34 citation statements)

References 26 publications

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“…Li & Moon [30] used Arena simulation software to assess the overlapping and iteration in product development (PD) projects. In [14] authors proposed that the iteration and overlapping are the main causes of uncertainty and ambiguity in the PD process. They used Arena software to reveal how uncertainty of iteration affects project schedule.…”

Section: Methods For Assessment and Management Of Risk And Uncertaintymentioning

confidence: 99%

“…There is not the possibility of rework modeling in common project management softwares such as Microsoft project and Primavera. Some research on modeling and evaluating different aspects of rework risk is done [12][13][14][15][16]. However, they do not consider the effect of different combinations of risk types (including rework risk) while the duration and cost of the activities are not deterministic and can be represented by probability distributions.…”

Section: Introductionmentioning

confidence: 99%

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Simulating the Impact of Activity Uncertainties and Risk Combinations in R&D Projects

Chenarani¹,

Дружинин²,

Kritskiy³

2017

JESTR

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The quantifiable consequences of uncertainty are simulated and analyzed for R&D projects. These consequences include variation in duration and cost of activities and the presence of risk factors in project. Categorizing risks into four types is proposed according to their impact on the main constraints of the project. The most prominent type of risk in R&D projects is the rework risk but common software packages for project management are not able to simulate them. A discrete event based Monte Carlo simulation method is employed for project simulation. The required project and risk data for simulation are represented by means of dependency structure matrix (DSM). For calculating the effects of rework risk, BFS graph traversal algorithm is used. A simulation program is developed and implemented in a small turbojet engine preliminary design project. The results of this research can improve the effectiveness of decision-making process by project manager where choosing appropriate method for reducing risk effects under uncertainty conditions is required.

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Section: Methods For Assessment and Management Of Risk And Uncertaintymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulating the Impact of Activity Uncertainties and Risk Combinations in R&D Projects

Chenarani¹,

Дружинин²,

Kritskiy³

2017

JESTR

View full text Add to dashboard Cite

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“…However, in the real world, project activities are subject to considerable uncertainties, stemming from various sources, which are gradually resolved during project execution. The presence of uncertainties in project management is recognized by practitioners and researchers as an important cause underlying the high project failure rate [5]. Project-related uncertainties can lead to numerous schedule disruptions.…”

Section: The Main Efects Of the Uncertainties In Project Schedulingmentioning

confidence: 99%

“…the activity durations are modelled as stochastic variables. Therefore, the stochastic RCPSP aims to schedule project activities with uncertainty quantiication of durations in order to minimize the expected project duration subject to precedence and constrained resources [5]. The stochastic project scheduling models view the project scheduling problem as a multistage decision process; the complete schedule (containing all activities) is constructed gradually as time progresses by means of a scheduling policy, exploiting the available information about the uncertainty of activity durations [1].…”

Section: Stochastic Scheduling Approachmentioning

confidence: 99%

“…Admissible schedules must obey constraints such as precedence relations (a task cannot start unless some other tasks have been completed) and resource restrictions (labour and machines are examples of scarce resources with limited capacities) [4]. Thus, the resource-constrained project scheduling problem (RCPSP) consists of project activities subject to many kinds of uncertainties that must be scheduled in accordance with precedence and resource (renewable, non-renewable and doubly constrained) availabilities such that the total duration or makespan of a project is minimized [5].…”

Section: Introductionmentioning

confidence: 99%

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Kinematic Model for Project Scheduling with Constrained Resources Under Uncertainties

Garbi¹,

Grandinetti²

2017

Kinematics

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Project management practitioners and researchers recognize that the project scheduling eforts are made based on information with many uncertainties and in an environment with constrained resources. This chapter presents the kinematic model named as Coupled Estimate Technique for project scheduling with constrained resources under uncertainties. The Coupled Estimate Technique provides tools of analytical analysis, given that the modelled duration depends on the planned duration and on the resource variability (aleatory uncertainty), as well as the modelled resource depends on the planned resource and on the duration variability (aleatory uncertainty), and also provides tools of graphical analysis, given that the durations and resources of activities, work packages or phases of the project are represented in the bidimensional graphics. In developing the mathematical formulation of the Coupled Estimate Technique, the project precedence diagram was considered as a kinematic chain of robotic manipulators, which may be in chain coniguration open (serial), closed (parallel) and/or hybrid. This chapter describes the resource-constrained project scheduling problem (RCPSP) under uncertainties, identiies the limitations and opportunities in the previous work on planning under uncertainties and presents the fundamentals and method of the kinematic model for project scheduling with constrained resources under uncertainties along with a short example of implementation.

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Limits of Traditional Project Management Approaches When Facing Complexity

Marle

Vidal

2015

Managing Complex, High Risk Projects

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The impact of uncertainty and ambiguity related to iteration and overlapping on schedule of product development projects

Cited by 50 publications

References 26 publications

Simulating the Impact of Activity Uncertainties and Risk Combinations in R&D Projects

Simulating the Impact of Activity Uncertainties and Risk Combinations in R&D Projects

Kinematic Model for Project Scheduling with Constrained Resources Under Uncertainties

Limits of Traditional Project Management Approaches When Facing Complexity

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