An optimal dispatching time policy and vehicle allocation for delivery service system with stochastic arrival of demand

In this study, we considered a delivery service system that has a central depot and a finite number of delivery vehicles. Its whole delivery service area is divided into a number of sub-areas. The available pool of vehicles that the system possesses is to be allocated to these sub-areas with a polic...

Full description

Saved in:
Bibliographic Details
Main Authors: Gobaco, Bryan O., Ilagan, Mark-Ted H., Salalila, Ian Frederick C.
Format: text
Language:English
Published: Animo Repository 1998
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/6468
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_bachelors-7112
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-71122021-07-23T09:15:25Z An optimal dispatching time policy and vehicle allocation for delivery service system with stochastic arrival of demand Gobaco, Bryan O. Ilagan, Mark-Ted H. Salalila, Ian Frederick C. In this study, we considered a delivery service system that has a central depot and a finite number of delivery vehicles. Its whole delivery service area is divided into a number of sub-areas. The available pool of vehicles that the system possesses is to be allocated to these sub-areas with a policy that each sub-area should have at least one vehicle assigned to it. Demand is treated to be arriving in a random and stochastic behavior. 1998-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/6468 Bachelor's Theses English Animo Repository Business enterprises Costumer service Service industries--Marketing Service industries-- Management Vehicles Corporations Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Business enterprises
Costumer service
Service industries--Marketing
Service industries-- Management
Vehicles
Corporations
Engineering
spellingShingle Business enterprises
Costumer service
Service industries--Marketing
Service industries-- Management
Vehicles
Corporations
Engineering
Gobaco, Bryan O.
Ilagan, Mark-Ted H.
Salalila, Ian Frederick C.
An optimal dispatching time policy and vehicle allocation for delivery service system with stochastic arrival of demand
description In this study, we considered a delivery service system that has a central depot and a finite number of delivery vehicles. Its whole delivery service area is divided into a number of sub-areas. The available pool of vehicles that the system possesses is to be allocated to these sub-areas with a policy that each sub-area should have at least one vehicle assigned to it. Demand is treated to be arriving in a random and stochastic behavior.
format text
author Gobaco, Bryan O.
Ilagan, Mark-Ted H.
Salalila, Ian Frederick C.
author_facet Gobaco, Bryan O.
Ilagan, Mark-Ted H.
Salalila, Ian Frederick C.
author_sort Gobaco, Bryan O.
title An optimal dispatching time policy and vehicle allocation for delivery service system with stochastic arrival of demand
title_short An optimal dispatching time policy and vehicle allocation for delivery service system with stochastic arrival of demand
title_full An optimal dispatching time policy and vehicle allocation for delivery service system with stochastic arrival of demand
title_fullStr An optimal dispatching time policy and vehicle allocation for delivery service system with stochastic arrival of demand
title_full_unstemmed An optimal dispatching time policy and vehicle allocation for delivery service system with stochastic arrival of demand
title_sort optimal dispatching time policy and vehicle allocation for delivery service system with stochastic arrival of demand
publisher Animo Repository
publishDate 1998
url https://animorepository.dlsu.edu.ph/etd_bachelors/6468
_version_ 1772834817378877440