MATHEMATICAL MODEL AND VARIABLE NEIGHBORHOOD DESCENT ALGORITHM FOR VEHICLE ROUTING PROBLEM WITH HETEROGENEOUS FLEET, MULTIPLE TRIPS, TIME WINDOWS, AND SIMULTANEOUS PICK-UP AND DELIVERY

This study discusses the problem of vehicle routing problem with heterogeneous fleets, multiple trips, time windows, and simultaneous pick-up and delivery or abbreviated as VRP-HMTTWSPD. The research was developed based on Aprilliany (2020) by adding heterogeneous characteristic and modifying the...

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Main Author: Dwi Wangsa Kuswardani, Chintia
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/70467
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:70467
spelling id-itb.:704672023-01-12T13:09:59ZMATHEMATICAL MODEL AND VARIABLE NEIGHBORHOOD DESCENT ALGORITHM FOR VEHICLE ROUTING PROBLEM WITH HETEROGENEOUS FLEET, MULTIPLE TRIPS, TIME WINDOWS, AND SIMULTANEOUS PICK-UP AND DELIVERY Dwi Wangsa Kuswardani, Chintia Indonesia Theses vehicle routing problem, heterogeneous fleet, multiple trips, time windows, simultaneous pick-up and delivery, sequential insertion, VND. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/70467 This study discusses the problem of vehicle routing problem with heterogeneous fleets, multiple trips, time windows, and simultaneous pick-up and delivery or abbreviated as VRP-HMTTWSPD. The research was developed based on Aprilliany (2020) by adding heterogeneous characteristic and modifying the mathematical model for multiple routes. Currently, there is no single model that combines the characteristics of heterogeneous fleets, multiple trips, and simultaneous pick-up and delivery in a mathematical model. The combination of the characteristics is needed to solve a real case problem of a distribution of water gallon refill by PT. X in Surabaya. The purpose of this study is to develop a mathematical model of VRP-HMTTWSPD and develop solving algorithms using the metaheuristic method. The mathematical model developed in this study is in the form of Mixed Integer Linear Programming (MILP) which has performance criteria to minimize the total transportation cost which consists of vehicle variable costs and fixed costs. The Variable Neighborhood Descent (VND) algorithm was developed to overcome the long computation time used in the MILP method. The Sequential Insertion (SI) algorithm is used to determine the initial VND solution. The result is that the mathematical model developed can be used to solve VRP-HMTTWSPD and the VND algorithm developed can produce a relatively good solution for 5-7 customers data with a gap of 23.78% compared to MILP and a computation time less than 3 seconds. The algorithm can be used to solve 20, 50, and 100 customers problems. The model and algorithm developed also can be used in three other MRK models, namely VRP-MTTWSPD for limited homogeneous fleets, VRP-HMTSPD for models without time windows, and VRP-HMTTWSPD for mixed pick-up and delivery. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description This study discusses the problem of vehicle routing problem with heterogeneous fleets, multiple trips, time windows, and simultaneous pick-up and delivery or abbreviated as VRP-HMTTWSPD. The research was developed based on Aprilliany (2020) by adding heterogeneous characteristic and modifying the mathematical model for multiple routes. Currently, there is no single model that combines the characteristics of heterogeneous fleets, multiple trips, and simultaneous pick-up and delivery in a mathematical model. The combination of the characteristics is needed to solve a real case problem of a distribution of water gallon refill by PT. X in Surabaya. The purpose of this study is to develop a mathematical model of VRP-HMTTWSPD and develop solving algorithms using the metaheuristic method. The mathematical model developed in this study is in the form of Mixed Integer Linear Programming (MILP) which has performance criteria to minimize the total transportation cost which consists of vehicle variable costs and fixed costs. The Variable Neighborhood Descent (VND) algorithm was developed to overcome the long computation time used in the MILP method. The Sequential Insertion (SI) algorithm is used to determine the initial VND solution. The result is that the mathematical model developed can be used to solve VRP-HMTTWSPD and the VND algorithm developed can produce a relatively good solution for 5-7 customers data with a gap of 23.78% compared to MILP and a computation time less than 3 seconds. The algorithm can be used to solve 20, 50, and 100 customers problems. The model and algorithm developed also can be used in three other MRK models, namely VRP-MTTWSPD for limited homogeneous fleets, VRP-HMTSPD for models without time windows, and VRP-HMTTWSPD for mixed pick-up and delivery.
format Theses
author Dwi Wangsa Kuswardani, Chintia
spellingShingle Dwi Wangsa Kuswardani, Chintia
MATHEMATICAL MODEL AND VARIABLE NEIGHBORHOOD DESCENT ALGORITHM FOR VEHICLE ROUTING PROBLEM WITH HETEROGENEOUS FLEET, MULTIPLE TRIPS, TIME WINDOWS, AND SIMULTANEOUS PICK-UP AND DELIVERY
author_facet Dwi Wangsa Kuswardani, Chintia
author_sort Dwi Wangsa Kuswardani, Chintia
title MATHEMATICAL MODEL AND VARIABLE NEIGHBORHOOD DESCENT ALGORITHM FOR VEHICLE ROUTING PROBLEM WITH HETEROGENEOUS FLEET, MULTIPLE TRIPS, TIME WINDOWS, AND SIMULTANEOUS PICK-UP AND DELIVERY
title_short MATHEMATICAL MODEL AND VARIABLE NEIGHBORHOOD DESCENT ALGORITHM FOR VEHICLE ROUTING PROBLEM WITH HETEROGENEOUS FLEET, MULTIPLE TRIPS, TIME WINDOWS, AND SIMULTANEOUS PICK-UP AND DELIVERY
title_full MATHEMATICAL MODEL AND VARIABLE NEIGHBORHOOD DESCENT ALGORITHM FOR VEHICLE ROUTING PROBLEM WITH HETEROGENEOUS FLEET, MULTIPLE TRIPS, TIME WINDOWS, AND SIMULTANEOUS PICK-UP AND DELIVERY
title_fullStr MATHEMATICAL MODEL AND VARIABLE NEIGHBORHOOD DESCENT ALGORITHM FOR VEHICLE ROUTING PROBLEM WITH HETEROGENEOUS FLEET, MULTIPLE TRIPS, TIME WINDOWS, AND SIMULTANEOUS PICK-UP AND DELIVERY
title_full_unstemmed MATHEMATICAL MODEL AND VARIABLE NEIGHBORHOOD DESCENT ALGORITHM FOR VEHICLE ROUTING PROBLEM WITH HETEROGENEOUS FLEET, MULTIPLE TRIPS, TIME WINDOWS, AND SIMULTANEOUS PICK-UP AND DELIVERY
title_sort mathematical model and variable neighborhood descent algorithm for vehicle routing problem with heterogeneous fleet, multiple trips, time windows, and simultaneous pick-up and delivery
url https://digilib.itb.ac.id/gdl/view/70467
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