Access to sufficient and safe water particularly in vulnerable countries is one of the most
important goals targeted by the United Nations for 2030. The agricultural water supply is …

Most of the real-life project scheduling cases may involve different types of uncertainties
simultaneously such as randomness, fuzziness and dynamism. Based on this motivation, the …

Purpose This paper presents a novel multi-objective optimization model aimed at enhancing
the success rate of resource planning (RP) implementation. The model optimization is …

This research tackles the environmental concern of greenhouse gas emissions in the
execution of projects, with a focus on multi-site projects where the transportation of …

The aim of this research was to develop a geographical information system with multi-criteria
decision making methods for selecting the most feasible location to install electric bikes …

Modern project managers cope with significant challenges to schedule and control projects
considering dynamic environments, frequent uncertainties, strict project deadlines, and …

In fuzzy mathematical programming literature, most of the transformation approaches were
mainly focused on integer linear programs (ILPs) with fuzzy parameters/variables. However …

The presented study proposes a novel bi-objective mixed integer linear programming (MILP)
framework for the multi-mode resource-constrained project scheduling problem (MRCPSP) …

In this study, we aim to present a new model for the resource-constrained project scheduling
problem (RCPSP) considering a working calendar for project members and determined the …

Project resource levelling is very important and project managers need a schedule based on
the optimal use of resources needed to complete their projects. Most resource levelling …