A Constraint Programming Model for the Open Vehicle Routing Problem with Heterogeneous Vehicle Fleet

Öztop, Hande

doi:10.1007/978-3-031-24457-5_27

Cited by 2 publications

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…as well as the formulation of decision-making versions of both the problem of analysis (seeking an answer to the question of whether there is a solution that meets the given expectations) and synthesis (seeking an answer to the question under which assumptions there is a solution that meets the given expectations). The presented advantages, combined with the possibility of building models with an open structure implemented in the constraint programming (CP) environment [19], make this representation an attractive alternative to building dedicated DSS class systems.…”

Section: Introductionmentioning

confidence: 99%

Project Portfolio Planning Taking into Account the Effect of Loss of Competences of Project Team Members

et al. 2023

View full text Add to dashboard Cite

This paper deals with a declarative model of the performance of employees conducting variably repetitive tasks based on the assumption of aging competences. An analytical model is used to consider refreshing the competences of the team’s multi-skilled members and shaping the structure of staff’s competences to maximize their mutual substitutability in processes typical for a multi-item lot-size production. Its impact on maintaining the skill level of employees is important in cases of an unplanned event, e.g., caused by employee absenteeism and/or a change in the priorities of orders carried out, disrupting the task of software companies. The developed model implemented in the constraint programming environment enables the formulation of decision-making versions of both the problem of analysis (seeking an answer to the question to discover whether there is a solution that meets the given expectations) and synthesis (seeking an answer to the question, assuming there is a solution that meets the given expectations). The potential of the proposed reference model-based approach is illustrated with examples.

show abstract

Section: Introductionmentioning

confidence: 99%

Project Portfolio Planning Taking into Account the Effect of Loss of Competences of Project Team Members

et al. 2023

View full text Add to dashboard Cite

show abstract

Route Optimization for Open Vehicle Routing Problem (OVRP): A Mathematical and Solution Approach

Gasset,

Paillalef,

Payacán

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

In the everchanging landscape of human mobility and commerce, efficient route planning has become paramount. This paper addresses the open vehicle routing problem (OVRP), a major logistical challenge in route optimization for a fleet of vehicles serving geographically dispersed customers. Using a heuristic approach, we explore the complexities of OVRP, comparing the results with advanced optimization methods. This study not only highlights the effectiveness of mathematical modeling, but also explores the practicality of heuristic algorithms such as Greedy, Nearest Neighbor and 2-opt to provide quality solutions. The findings highlight the nuanced interplay between solution quality and computational efficiency, providing valuable insights for addressing real-world logistics challenges. Recommendations delve into optimization opportunities and the integration of emerging technologies, ensuring adaptable solutions to the intricate the problem of open vehicle routing.

show abstract

A Constraint Programming Model for the Open Vehicle Routing Problem with Heterogeneous Vehicle Fleet

Cited by 2 publications

References 28 publications

Project Portfolio Planning Taking into Account the Effect of Loss of Competences of Project Team Members

Project Portfolio Planning Taking into Account the Effect of Loss of Competences of Project Team Members

Route Optimization for Open Vehicle Routing Problem (OVRP): A Mathematical and Solution Approach

Contact Info

Product

Resources

About