Internal transport control in pot plant production

Research output: Thesisexternal PhD, WU

Abstract

<p>Drawing up internal transport schedules in pot plant production is a very complex task. Scheduling internal transport at the operational level and providing control on a day-to-day or even hour-to-hour basis in particular requires a new approach. A hierarchical planning approach based on Anthony's framework was presented in this study to decompose the internal transport planning problem of pot plant nurseries into three planning levels with differentiating characteristics: strategic, tactical and operational planning.</p><p>Emphasis was put on the operational planning level within the constraints of the tactical and strategic planning level. A discrete transport simulation model TRANSIM was designed and developed to analyse and evaluate the rules of thumb on internal transport used by growers in everyday life. The operational planning problem with respect to internal transport was divided into three sub-problems that deal with planning the work sequence, internal transport sequence and parking positions. Four local search methods - Simulated Annealing (SA), Genetic Algorithm (GA), Tabu Search (TS) and Random Search (RS) - were described and applied to generate good internal transport sequences in combination with a chosen parking method.</p><p>The performance results of the local search methods applied to real-scale test cases show that Simulated Annealing is the most effective and efficient method of finding good internal transport sequences in combination with a relatively simple parking method.</p><p>This thesis is also available as publication No. 99-03, ISBN 90-5406-175-8 of the DLO-Institute of Agricultural and Environmental Engineering (IMAG-DLO), P.O. Box 43, NL-6700 AA, Wageningen, The Netherlands</p>
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
Supervisors/Advisors
  • van Beek, P., Promotor, External person
  • Donkers, H.W.J., Promotor, External person
  • Goense, D., Promotor, External person
Award date28 Jun 1999
Place of PublicationS.l.
Publisher
Print ISBNs9789058080592
Publication statusPublished - 1999

Fingerprint

Planning
Parking
Simulated annealing
Agricultural engineering
Environmental engineering
Strategic planning
Tabu search
Genetic algorithms
Scheduling

Keywords

  • pot plants
  • floriculture
  • transport
  • simulation
  • operations research
  • simulation models
  • computer simulation
  • planning
  • logistics
  • greenhouse horticulture

Cite this

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title = "Internal transport control in pot plant production",
abstract = "Drawing up internal transport schedules in pot plant production is a very complex task. Scheduling internal transport at the operational level and providing control on a day-to-day or even hour-to-hour basis in particular requires a new approach. A hierarchical planning approach based on Anthony's framework was presented in this study to decompose the internal transport planning problem of pot plant nurseries into three planning levels with differentiating characteristics: strategic, tactical and operational planning.Emphasis was put on the operational planning level within the constraints of the tactical and strategic planning level. A discrete transport simulation model TRANSIM was designed and developed to analyse and evaluate the rules of thumb on internal transport used by growers in everyday life. The operational planning problem with respect to internal transport was divided into three sub-problems that deal with planning the work sequence, internal transport sequence and parking positions. Four local search methods - Simulated Annealing (SA), Genetic Algorithm (GA), Tabu Search (TS) and Random Search (RS) - were described and applied to generate good internal transport sequences in combination with a chosen parking method.The performance results of the local search methods applied to real-scale test cases show that Simulated Annealing is the most effective and efficient method of finding good internal transport sequences in combination with a relatively simple parking method.This thesis is also available as publication No. 99-03, ISBN 90-5406-175-8 of the DLO-Institute of Agricultural and Environmental Engineering (IMAG-DLO), P.O. Box 43, NL-6700 AA, Wageningen, The Netherlands",
keywords = "potplanten, bloementeelt, transport, simulatie, operationeel onderzoek, simulatiemodellen, computersimulatie, planning, logistiek, glastuinbouw, pot plants, floriculture, transport, simulation, operations research, simulation models, computer simulation, planning, logistics, greenhouse horticulture",
author = "E. Annevelink",
note = "WU thesis 2643 Proefschrift Wageningen",
year = "1999",
language = "English",
isbn = "9789058080592",
publisher = "[s.n.]",

}

Internal transport control in pot plant production. / Annevelink, E.

S.l. : [s.n.], 1999. 259 p.

Research output: Thesisexternal PhD, WU

TY - THES

T1 - Internal transport control in pot plant production

AU - Annevelink, E.

N1 - WU thesis 2643 Proefschrift Wageningen

PY - 1999

Y1 - 1999

N2 - Drawing up internal transport schedules in pot plant production is a very complex task. Scheduling internal transport at the operational level and providing control on a day-to-day or even hour-to-hour basis in particular requires a new approach. A hierarchical planning approach based on Anthony's framework was presented in this study to decompose the internal transport planning problem of pot plant nurseries into three planning levels with differentiating characteristics: strategic, tactical and operational planning.Emphasis was put on the operational planning level within the constraints of the tactical and strategic planning level. A discrete transport simulation model TRANSIM was designed and developed to analyse and evaluate the rules of thumb on internal transport used by growers in everyday life. The operational planning problem with respect to internal transport was divided into three sub-problems that deal with planning the work sequence, internal transport sequence and parking positions. Four local search methods - Simulated Annealing (SA), Genetic Algorithm (GA), Tabu Search (TS) and Random Search (RS) - were described and applied to generate good internal transport sequences in combination with a chosen parking method.The performance results of the local search methods applied to real-scale test cases show that Simulated Annealing is the most effective and efficient method of finding good internal transport sequences in combination with a relatively simple parking method.This thesis is also available as publication No. 99-03, ISBN 90-5406-175-8 of the DLO-Institute of Agricultural and Environmental Engineering (IMAG-DLO), P.O. Box 43, NL-6700 AA, Wageningen, The Netherlands

AB - Drawing up internal transport schedules in pot plant production is a very complex task. Scheduling internal transport at the operational level and providing control on a day-to-day or even hour-to-hour basis in particular requires a new approach. A hierarchical planning approach based on Anthony's framework was presented in this study to decompose the internal transport planning problem of pot plant nurseries into three planning levels with differentiating characteristics: strategic, tactical and operational planning.Emphasis was put on the operational planning level within the constraints of the tactical and strategic planning level. A discrete transport simulation model TRANSIM was designed and developed to analyse and evaluate the rules of thumb on internal transport used by growers in everyday life. The operational planning problem with respect to internal transport was divided into three sub-problems that deal with planning the work sequence, internal transport sequence and parking positions. Four local search methods - Simulated Annealing (SA), Genetic Algorithm (GA), Tabu Search (TS) and Random Search (RS) - were described and applied to generate good internal transport sequences in combination with a chosen parking method.The performance results of the local search methods applied to real-scale test cases show that Simulated Annealing is the most effective and efficient method of finding good internal transport sequences in combination with a relatively simple parking method.This thesis is also available as publication No. 99-03, ISBN 90-5406-175-8 of the DLO-Institute of Agricultural and Environmental Engineering (IMAG-DLO), P.O. Box 43, NL-6700 AA, Wageningen, The Netherlands

KW - potplanten

KW - bloementeelt

KW - transport

KW - simulatie

KW - operationeel onderzoek

KW - simulatiemodellen

KW - computersimulatie

KW - planning

KW - logistiek

KW - glastuinbouw

KW - pot plants

KW - floriculture

KW - transport

KW - simulation

KW - operations research

KW - simulation models

KW - computer simulation

KW - planning

KW - logistics

KW - greenhouse horticulture

M3 - external PhD, WU

SN - 9789058080592

PB - [s.n.]

CY - S.l.

ER -