Three approaches to the problem of determining buffer stocks to protect against uncertainty in product mix are …. Uncertainty in product mix arises because of forecast errors within the total manufacturing lead time. This may be too short to …

Asks how implementation management affects implementation uncertainty, adaptation cycles and performance. Assesses … different project characteristics and degrees of success. Reports the study of timing and source of latent uncertainty variables …

processes leads to better sustenance of achieved performance improvements in shop floor under high uncertainty.  …

deal effectively with the uncertainty inherent in the nature of projects and of project-based employment. Research … the uncertainty of project. The findings reported provide insight into how organizations might attract, develop and retain …

Purpose The purpose of this paper is to reveal how management of uncertainty can enable sustainability of complex … reveal the need for management of uncertainty through two different paths. First, project management needs to frontload … implications The research leads to the development of a tool for uncertainty management for sustainability of complex projects …

(the ability both to exploit and explore) and mindfulness – to take a fresh perspective on the management of uncertainty … environments characterised by varying degrees of uncertainty. Design/methodology/approach Five case organisations across a range of … industries are used to illustrate how uncertainty may be prepared for and suitable responses activated. This also adds to the …

and project contracts in the context of project business characterized by a high level of complexity and uncertainty. The … characterized by complexity and uncertainty, there is a need for flexible project contracts. The authors suggest that there are two … related to uncertainty, especially during the early phases of the project lifecycle. The authors provide a novel perspective …

, complex projects are characterized by incomplete knowledge. The challenge of dealing with knowledge uncertainty in complex … projects, where little learning is anticipated, by including complex projects with knowledge uncertainty requiring continuous …

the project portfolio among available projects. In this matter, organizations should consider the uncertainty intrinsic in … of this paper is to formulate using a robust optimization algorithm to deal with the complexities and uncertainty … optimization algorithm, which is effective for solving problems under uncertainty. Findings Sensitivity analysis showed that …