Operational Implications of Time Window Relaxation in Vehicle Routing Problems

Ahmet Çağlar Saygılı; Halim Kazan

Makale detayları

Operational Implications of Time Window Relaxation in Vehicle Routing Problems

Yazarlar:

Ahmet Çağlar Saygılı | Halim Kazan

Yayıncı:

Istanbul University

Ana Başlıklar:

Ekonometri (Diğer)

Dergi:

EKOIST Journal of Econometrics and Statistics Issue 41, pp.54-81

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001340593

pISSN:

2651-396X

Anahtar kelimeler:

Özet:

 The Vehicle Routing Problem with Time Windows VRPTW poses a significant challenge in logistics, requiring vehicles to meet the objective of minimising costssuch as distance travelled and total travel timewhile adhering to specified delivery time constraints and vehicle capacities. This study investigates the implications of relaxing time window constraints by transitioning from VRPTWinstancestostandard Vehicle Routing Problem VRP instances. Our findings highlight notable differences between VRP and VRPTW configurations, particularly in total route length and consistency of route metrics. Removal of time window constraints generally resulted in shorter and more uniform route lengths, indicating operational benefits under certain conditions. However,ourcomparisonsalsorevealedsubstantialvariability inroutestructures across datasets, emphasising the cost implications of adhering to strict time windows. This study underscores the critical balance logistics firms must strike between operational efficiency and customer satisfaction when navigating the complexities of VRPTW. This research provides a foundation for future investigations into optimizing route planning under varying logistical constraints, with potential implications for enhanced f lexibility and reduced operational costs despite dynamic delivery requirements. We used a state-of-the-art heuristic solver to solve instances from standard benchmark datasets heavily used for VRPTW literature.

 The Vehicle Routing Problem with Time Windows VRPTW poses a significant challenge in logistics, requiring vehicles to meet the objective of minimising costssuch as distance travelled and total travel timewhile adhering to specified delivery time constraints and vehicle capacities. This study investigates the implications of relaxing time window constraints by transitioning from VRPTWinstancestostandard Vehicle Routing Problem VRP instances. Our findings highlight notable differences between VRP and VRPTW configurations, particularly in total route length and consistency of route metrics. Removal of time window constraints generally resulted in shorter and more uniform route lengths, indicating operational benefits under certain conditions. However,ourcomparisonsalsorevealedsubstantialvariability inroutestructures across datasets, emphasising the cost implications of adhering to strict time windows. This study underscores the critical balance logistics firms must strike between operational efficiency and customer satisfaction when navigating the complexities of VRPTW. This research provides a foundation for future investigations into optimizing route planning under varying logistical constraints, with potential implications for enhanced f lexibility and reduced operational costs despite dynamic delivery requirements. We used a state-of-the-art heuristic solver to solve instances from standard benchmark datasets heavily used for VRPTW literature.

 The Vehicle Routing Problem with Time Windows VRPTW poses a significant challenge in logistics, requiring vehicles to meet the objective of minimising costssuch as distance travelled and total travel timewhile adhering to specified delivery time constraints and vehicle capacities. This study investigates the implications of relaxing time window constraints by transitioning from VRPTWinstancestostandard Vehicle Routing Problem VRP instances. Our findings highlight notable differences between VRP and VRPTW configurations, particularly in total route length and consistency of route metrics. Removal of time window constraints generally resulted in shorter and more uniform route lengths, indicating operational benefits under certain conditions. However,ourcomparisonsalsorevealedsubstantialvariability inroutestructures across datasets, emphasising the cost implications of adhering to strict time windows. This study underscores the critical balance logistics firms must strike between operational efficiency and customer satisfaction when navigating the complexities of VRPTW. This research provides a foundation for future investigations into optimizing route planning under varying logistical constraints, with potential implications for enhanced f lexibility and reduced operational costs despite dynamic delivery requirements. We used a state-of-the-art heuristic solver to solve instances from standard benchmark datasets heavily used for VRPTW literature.

 The Vehicle Routing Problem with Time Windows VRPTW poses a significant challenge in logistics, requiring vehicles to meet the objective of minimising costssuch as distance travelled and total travel timewhile adhering to specified delivery time constraints and vehicle capacities. This study investigates the implications of relaxing time window constraints by transitioning from VRPTWinstancestostandard Vehicle Routing Problem VRP instances. Our findings highlight notable differences between VRP and VRPTW configurations, particularly in total route length and consistency of route metrics. Removal of time window constraints generally resulted in shorter and more uniform route lengths, indicating operational benefits under certain conditions. However,ourcomparisonsalsorevealedsubstantialvariability inroutestructures across datasets, emphasising the cost implications of adhering to strict time windows. This study underscores the critical balance logistics firms must strike between operational efficiency and customer satisfaction when navigating the complexities of VRPTW. This research provides a foundation for future investigations into optimizing route planning under varying logistical constraints, with potential implications for enhanced f lexibility and reduced operational costs despite dynamic delivery requirements. We used a state-of-the-art heuristic solver to solve instances from standard benchmark datasets heavily used for VRPTW literature.

Makale detayları

Operational Implications of Time Window Relaxation in Vehicle Routing Problems

Yazarlar:

Ahmet Çağlar Saygılı | Halim Kazan

Yayıncı:

Istanbul University

Ana Başlıklar:

Ekonometri (Diğer)

Dergi:

EKOIST Journal of Econometrics and Statistics Issue 41, pp.54-81

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001340593

pISSN:

2651-396X

logistics

minimizing costs

delivery time constraints

operational efficiency

route planning

Sayı

Makale detayları

Operational Implications of Time Window Relaxation in Vehicle Routing Problems

Yazarlar: Ahmet Çağlar Saygılı | Halim Kazan

Yayıncı: Istanbul University

Ana Başlıklar: Ekonometri (Diğer)

Dergi: EKOIST Journal of Econometrics and Statistics Issue 41, pp.54-81

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001340593

pISSN: 2651-396X

logistics

minimizing costs

delivery time constraints

operational efficiency

route planning

Sayı

Yazarlar:

Ahmet Çağlar Saygılı | Halim Kazan

Yayıncı:

Istanbul University

Ana Başlıklar:

Ekonometri (Diğer)

Dergi:

EKOIST Journal of Econometrics and Statistics Issue 41, pp.54-81

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001340593

pISSN:

2651-396X