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Wittwer D, Schmidt T (2021). Utilization-oriented Harvest Logistics: Vehicle Routing and Scheduling of Forage Harvesters, Transfer and Transport Vehicles with Synchronization Constraints. Logistics Journal : Proceedings, Vol. 2021. (urn:nbn:de:0009-14-54486)

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%0 Journal Article
%T Utilization-oriented Harvest Logistics: Vehicle Routing and Scheduling of Forage Harvesters, Transfer and Transport Vehicles with Synchronization Constraints
%A Wittwer, David
%A Schmidt, Thorsten
%J Logistics Journal : Proceedings
%D 2021
%V 2021
%N 17
%@ 2192-9084
%F wittwer2021
%X Agricultural contractors are logistics service providers for various field operations in agriculture. Restrictions imposed by nature, lack of personnel, high-priced agricultural machinery and small margins require contractors to make efficient use of their fleet of agricultural machinery. In order to achieve a short completion time, as is particularly necessary for harvesting, the dispatcher aims to minimize travel times between the operating locations and to increase the utilization of harvesting machines, e.g. forage harvesters and combine harvesters. This paper examines the harvesting process involving forage harvesters and support vehicles (transfer vehicles and transport vehicles). Here, if insufficient support vehicles are available, the forage harvester needs to pause operation on the field while waiting for a support vehicle that can receive the harvested biomass. Typically, teams of harvesters and support vehicles are assembled prior to the start of the harvesting process and remain in this constellation until all fields in the planning period have been harvested. In this study, we investigate the time savings when vehicles are not tied to their team and can thereby harvest each field in a new constellation of vehicles. This paper presents two mathematical models describing the harvesting process with forage harvesters, transfer vehicles and transporters with a focus on the utilization of the forage harvesters with fixed and variable team compositions, respectively. These models are solved via mixed-integer programming with the Gurobi solver.
%L 620
%K Erntelogistik
%K Gemischtganzzahlige Programmierung
%K Synchronisierung
%K Vehicle Routing Problem
%K harvest logistics
%K mixed-integer programming
%K synchronization
%R 10.2195/lj_Proc_wittwer_en_202112_01
%U http://nbn-resolving.de/urn:nbn:de:0009-14-54486
%U http://dx.doi.org/10.2195/lj_Proc_wittwer_en_202112_01
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@Article{wittwer2021,
  author = 	"Wittwer, David
		and Schmidt, Thorsten",
  title = 	"Utilization-oriented Harvest Logistics: Vehicle Routing and Scheduling of Forage Harvesters, Transfer and Transport Vehicles with Synchronization Constraints",
  journal = 	"Logistics Journal : Proceedings",
  year = 	"2021",
  volume = 	"2021",
  number = 	"17",
  keywords = 	"Erntelogistik; Gemischtganzzahlige Programmierung; Synchronisierung; Vehicle Routing Problem; harvest logistics; mixed-integer programming; synchronization",
  abstract = 	"Agricultural contractors are logistics service providers for various field operations in agriculture. Restrictions imposed by nature, lack of personnel, high-priced agricultural machinery and small margins require contractors to make efficient use of their fleet of agricultural machinery. In order to achieve a short completion time, as is particularly necessary for harvesting, the dispatcher aims to minimize travel times between the operating locations and to increase the utilization of harvesting machines, e.g. forage harvesters and combine harvesters. This paper examines the harvesting process involving forage harvesters and support vehicles (transfer vehicles and transport vehicles). Here, if insufficient support vehicles are available, the forage harvester needs to pause operation on the field while waiting for a support vehicle that can receive the harvested biomass. Typically, teams of harvesters and support vehicles are assembled prior to the start of the harvesting process and remain in this constellation until all fields in the planning period have been harvested. In this study, we investigate the time savings when vehicles are not tied to their team and can thereby harvest each field in a new constellation of vehicles. This paper presents two mathematical models describing the harvesting process with forage harvesters, transfer vehicles and transporters with a focus on the utilization of the forage harvesters with fixed and variable team compositions, respectively. These models are solved via mixed-integer programming with the Gurobi solver.",
  issn = 	"2192-9084",
  doi = 	"10.2195/lj_Proc_wittwer_en_202112_01",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-14-54486"
}
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TY  - JOUR
AU  - Wittwer, David
AU  - Schmidt, Thorsten
PY  - 2021
DA  - 2021//
TI  - Utilization-oriented Harvest Logistics: Vehicle Routing and Scheduling of Forage Harvesters, Transfer and Transport Vehicles with Synchronization Constraints
JO  - Logistics Journal : Proceedings
VL  - 2021
IS  - 17
KW  - Erntelogistik
KW  - Gemischtganzzahlige Programmierung
KW  - Synchronisierung
KW  - Vehicle Routing Problem
KW  - harvest logistics
KW  - mixed-integer programming
KW  - synchronization
AB  - Agricultural contractors are logistics service providers for various field operations in agriculture. Restrictions imposed by nature, lack of personnel, high-priced agricultural machinery and small margins require contractors to make efficient use of their fleet of agricultural machinery. In order to achieve a short completion time, as is particularly necessary for harvesting, the dispatcher aims to minimize travel times between the operating locations and to increase the utilization of harvesting machines, e.g. forage harvesters and combine harvesters. This paper examines the harvesting process involving forage harvesters and support vehicles (transfer vehicles and transport vehicles). Here, if insufficient support vehicles are available, the forage harvester needs to pause operation on the field while waiting for a support vehicle that can receive the harvested biomass. Typically, teams of harvesters and support vehicles are assembled prior to the start of the harvesting process and remain in this constellation until all fields in the planning period have been harvested. In this study, we investigate the time savings when vehicles are not tied to their team and can thereby harvest each field in a new constellation of vehicles. This paper presents two mathematical models describing the harvesting process with forage harvesters, transfer vehicles and transporters with a focus on the utilization of the forage harvesters with fixed and variable team compositions, respectively. These models are solved via mixed-integer programming with the Gurobi solver.
SN  - 2192-9084
UR  - http://nbn-resolving.de/urn:nbn:de:0009-14-54486
DO  - 10.2195/lj_Proc_wittwer_en_202112_01
ID  - wittwer2021
ER  -
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Wordbib

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<b:Comments>Agricultural contractors are logistics service providers for various field operations in agriculture. Restrictions imposed by nature, lack of personnel, high-priced agricultural machinery and small margins require contractors to make efficient use of their fleet of agricultural machinery. In order to achieve a short completion time, as is particularly necessary for harvesting, the dispatcher aims to minimize travel times between the operating locations and to increase the utilization of harvesting machines, e.g. forage harvesters and combine harvesters. This paper examines the harvesting process involving forage harvesters and support vehicles (transfer vehicles and transport vehicles). Here, if insufficient support vehicles are available, the forage harvester needs to pause operation on the field while waiting for a support vehicle that can receive the harvested biomass. Typically, teams of harvesters and support vehicles are assembled prior to the start of the harvesting process and remain in this constellation until all fields in the planning period have been harvested. In this study, we investigate the time savings when vehicles are not tied to their team and can thereby harvest each field in a new constellation of vehicles. This paper presents two mathematical models describing the harvesting process with forage harvesters, transfer vehicles and transporters with a focus on the utilization of the forage harvesters with fixed and variable team compositions, respectively. These models are solved via mixed-integer programming with the Gurobi solver.</b:Comments>
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ISI

PT Journal
AU Wittwer, D
   Schmidt, T
TI Utilization-oriented Harvest Logistics: Vehicle Routing and Scheduling of Forage Harvesters, Transfer and Transport Vehicles with Synchronization Constraints
SO Logistics Journal : Proceedings
PY 2021
VL 2021
IS 17
DI 10.2195/lj_Proc_wittwer_en_202112_01
DE Erntelogistik; Gemischtganzzahlige Programmierung; Synchronisierung; Vehicle Routing Problem; harvest logistics; mixed-integer programming; synchronization
AB Agricultural contractors are logistics service providers for various field operations in agriculture. Restrictions imposed by nature, lack of personnel, high-priced agricultural machinery and small margins require contractors to make efficient use of their fleet of agricultural machinery. In order to achieve a short completion time, as is particularly necessary for harvesting, the dispatcher aims to minimize travel times between the operating locations and to increase the utilization of harvesting machines, e.g. forage harvesters and combine harvesters. This paper examines the harvesting process involving forage harvesters and support vehicles (transfer vehicles and transport vehicles). Here, if insufficient support vehicles are available, the forage harvester needs to pause operation on the field while waiting for a support vehicle that can receive the harvested biomass. Typically, teams of harvesters and support vehicles are assembled prior to the start of the harvesting process and remain in this constellation until all fields in the planning period have been harvested. In this study, we investigate the time savings when vehicles are not tied to their team and can thereby harvest each field in a new constellation of vehicles. This paper presents two mathematical models describing the harvesting process with forage harvesters, transfer vehicles and transporters with a focus on the utilization of the forage harvesters with fixed and variable team compositions, respectively. These models are solved via mixed-integer programming with the Gurobi solver.
ER
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Mods

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  <abstract>Agricultural contractors are logistics service providers for various field operations in agriculture. Restrictions imposed by nature, lack of personnel, high-priced agricultural machinery and small margins require contractors to make efficient use of their fleet of agricultural machinery. In order to achieve a short completion time, as is particularly necessary for harvesting, the dispatcher aims to minimize travel times between the operating locations and to increase the utilization of harvesting machines, e.g. forage harvesters and combine harvesters. This paper examines the harvesting process involving forage harvesters and support vehicles (transfer vehicles and transport vehicles). Here, if insufficient support vehicles are available, the forage harvester needs to pause operation on the field while waiting for a support vehicle that can receive the harvested biomass. Typically, teams of harvesters and support vehicles are assembled prior to the start of the harvesting process and remain in this constellation until all fields in the planning period have been harvested. In this study, we investigate the time savings when vehicles are not tied to their team and can thereby harvest each field in a new constellation of vehicles. This paper presents two mathematical models describing the harvesting process with forage harvesters, transfer vehicles and transporters with a focus on the utilization of the forage harvesters with fixed and variable team compositions, respectively. These models are solved via mixed-integer programming with the Gurobi solver.</abstract>
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Full Metadata

Bibliographic Citation Logistics Journal : referierte Veröffentlichungen, Vol. 2021, Iss. 17
Title

Utilization-oriented Harvest Logistics: Vehicle Routing and Scheduling of Forage Harvesters, Transfer and Transport Vehicles with Synchronization Constraints (eng)
Author David Wittwer, Thorsten Schmidt
Language eng
Abstract Agricultural contractors are logistics service providers for various field operations in agriculture. Restrictions imposed by nature, lack of personnel, high-priced agricultural machinery and small margins require contractors to make efficient use of their fleet of agricultural machinery. In order to achieve a short completion time, as is particularly necessary for harvesting, the dispatcher aims to minimize travel times between the operating locations and to increase the utilization of harvesting machines, e.g. forage harvesters and combine harvesters. This paper examines the harvesting process involving forage harvesters and support vehicles (transfer vehicles and transport vehicles). Here, if insufficient support vehicles are available, the forage harvester needs to pause operation on the field while waiting for a support vehicle that can receive the harvested biomass. Typically, teams of harvesters and support vehicles are assembled prior to the start of the harvesting process and remain in this constellation until all fields in the planning period have been harvested. In this study, we investigate the time savings when vehicles are not tied to their team and can thereby harvest each field in a new constellation of vehicles. This paper presents two mathematical models describing the harvesting process with forage harvesters, transfer vehicles and transporters with a focus on the utilization of the forage harvesters with fixed and variable team compositions, respectively. These models are solved via mixed-integer programming with the Gurobi solver. Landwirtschaftliche Lohnunternehmer sind Logistikdienstleister für verschiedene Feldarbeiten in der Landwirtschaft. Naturgegebene Restriktionen, Personalmangel, hochpreisige Landmaschinen und geringe Margen erfordern von den Lohnunternehmern eine effiziente Auslastung ihres Landmaschinenparks. Um kurze Einsatzzeiten zu erreichen, wie es insbesondere bei der Ernte notwendig ist, werden kurze Fahrzeiten zwischen den Einsatzorten und eine hohe Auslastung der Erntemaschinen, z.B. Feldhäcksler und Mähdreschern, angestrebt. In diesem Beitrag wird der Ernteprozess mit Feldhäckslern und Unterstützungsfahrzeugen (Überlade- und Transportfahrzeuge) untersucht. Dabei muss der Feldhäcksler, wenn nicht genügend Begleitfahrzeuge zur Verfügung stehen, die Ernte auf dem Feld unterbrechen und auf ein Begleitfahrzeug warten, das die geerntete Biomasse aufnehmen kann. Typischerweise werden Teams aus Erntemaschinen und Unterstützungsfahrzeugen vor Beginn des Erntevorgangs zusammengestellt und bleiben in dieser Konstellation, bis alle Felder im Planungszeitraum abgeerntet sind. Im Fokus dieser Studie steht die sich ergebende Zeitersparnis, wenn die Fahrzeuge nicht an ihr Team gebunden sind und somit jedes Feld in einer neuen Konstellation beernten können. In diesem Beitrag werden zwei mathematische Modelle vorgestellt, die den Ernteprozess mit Feldhäckslern, Übergabefahrzeugen und Transportern beschreiben, wobei der Schwerpunkt auf der Auslastung der Feldhäcksler bei fester bzw. variabler Teamzusammensetzung liegt. Diese Modelle werden mittels gemischtganzzahliger Programmierung mit dem Solver Gurobi gelöst.
Subject Erntelogistik, Gemischtganzzahlige Programmierung, Synchronisierung, Vehicle Routing Problem, harvest logistics, mixed-integer programming, synchronization, vehicle routing problem
DDC 620
Rights fDPPL
URN: urn:nbn:de:0009-14-54486
DOI https://doi.org/10.2195/lj_Proc_wittwer_en_202112_01