Large-scale engineering and construction projects are subject to a great level of uncertainty which lead planners to use time buffers and add contingencies to the estimated budget. However, the size of the buffers and the contingency amounts are usually arbitrarily established and projects still encounter severe time and cost overruns. In this paper, a robust planning approach for tactical planning of large-scale engineering and construction projects is proposed. The approach relies on a simple resource buffering strategy applied to the aggregate periods. An extensive simulation-based experiment was conducted to test the robustness and performance of the proposed approach. Results show that the proposed buffering strategy can considerably r...
We provide steps towards a welfare analysis of a two-country endogenous growth model where a relativ...
In this paper, an approach based on WorkFlow nets and possibilistic Petri nets is proposed for deali...
The recent improvements of hierarchical AI planning open the path to new and exciting application in...
Assembly lines are used for a large variety of products in different industrial sectors. In this pap...
In this paper, a long-term production planning problem is considered with the objective criteria Cma...
Global non-linear changes, including the persistent deep economic recession in many countries in th...
Path planning is a research domain very active and applied among others on autonomous vehicle such a...
Trop souvent, les mégaprojets sont complétés en retard et dépassent les budgets prévus. Néanmoins, i...
In order to lead successful projects, coordinating the different business units of a company is comp...
This paper addresses the problem of profit-oriented disassembly line design and balancing considerin...
This work proposes a formulation for coordinating between collection and disassembly planning for an...
A problem of profit oriented disassembly line design and balancing with possible partial disassembly...
Enterprise Modelling (EM) enables the representation of companies' activities, of their resources al...
The aeronautics sector is currently living an unprecedented growth largely due to innovative project...
The construction industry, in contrast to the manufacturing industries, is characterized by an unsta...
We provide steps towards a welfare analysis of a two-country endogenous growth model where a relativ...
In this paper, an approach based on WorkFlow nets and possibilistic Petri nets is proposed for deali...
The recent improvements of hierarchical AI planning open the path to new and exciting application in...
Assembly lines are used for a large variety of products in different industrial sectors. In this pap...
In this paper, a long-term production planning problem is considered with the objective criteria Cma...
Global non-linear changes, including the persistent deep economic recession in many countries in th...
Path planning is a research domain very active and applied among others on autonomous vehicle such a...
Trop souvent, les mégaprojets sont complétés en retard et dépassent les budgets prévus. Néanmoins, i...
In order to lead successful projects, coordinating the different business units of a company is comp...
This paper addresses the problem of profit-oriented disassembly line design and balancing considerin...
This work proposes a formulation for coordinating between collection and disassembly planning for an...
A problem of profit oriented disassembly line design and balancing with possible partial disassembly...
Enterprise Modelling (EM) enables the representation of companies' activities, of their resources al...
The aeronautics sector is currently living an unprecedented growth largely due to innovative project...
The construction industry, in contrast to the manufacturing industries, is characterized by an unsta...
We provide steps towards a welfare analysis of a two-country endogenous growth model where a relativ...
In this paper, an approach based on WorkFlow nets and possibilistic Petri nets is proposed for deali...
The recent improvements of hierarchical AI planning open the path to new and exciting application in...