Model Predictive Control for Scheduling and Routing in a Solid Waste Management System
Johansson, Ola LU and Johansson, Rolf LU
(2008)
17th IFAC World Congress, 2008
In IFAC Proceedings Volumes (IFAC-PapersOnline)
17(1).
p.4481-4486
- Abstract
- Solid waste collection and hauling account for the greater part of the total cost in modern solid waste management systems. In a recent initiative, 3,300 Swedish recycling containers have been fitted with level sensors and wireless communication equipment thereby giving waste collection operators access to real-time information on the status of each container. In a previous study (Johansson, 2006), analytical modeling and discrete-event simulation have been used to evaluate different scheduling and routing policies utilizing the real-time data, and it has been shown that dynamic scheduling and routing policies exist that have lower operating costs, shorter collection and hauling distances, and reduced labor hours compared to the static... (More)
- Solid waste collection and hauling account for the greater part of the total cost in modern solid waste management systems. In a recent initiative, 3,300 Swedish recycling containers have been fitted with level sensors and wireless communication equipment thereby giving waste collection operators access to real-time information on the status of each container. In a previous study (Johansson, 2006), analytical modeling and discrete-event simulation have been used to evaluate different scheduling and routing policies utilizing the real-time data, and it has been shown that dynamic scheduling and routing policies exist that have lower operating costs, shorter collection and hauling distances, and reduced labor hours compared to the static policy with fixed routes and pre-determined pick-up frequencies employed by many waste collection operators today. This study aims at further refining the scheduling and routing policies by employing a model predictive control (MPC) framework on the system. In brief, the MPC controller should minimize an objective cost function consisting of fixed and variable collection and hauling costs for a fixed future horizon by calculating a sequence of tactical scheduling and routing decisions that satisfies system constraints using a receding horizon strategy. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1444876
- author
- Johansson, Ola
LU
and Johansson, Rolf
LU
- organization
- publishing date
- 2008
- type
- Contribution to journal
- publication status
- published
- subject
- in
- IFAC Proceedings Volumes (IFAC-PapersOnline)
- volume
- 17
- issue
- 1
- pages
- 4481 - 4486
- publisher
- IFAC Secretariat
- conference name
- 17th IFAC World Congress, 2008
- conference location
- Seoul, Korea, Democratic People's Republic of
- conference dates
- 2008-07-06 - 2008-07-11
- external identifiers
-
- scopus:79961019319
- ISSN
- 2405-8963
- language
- English
- LU publication?
- yes
- id
- fd7413d5-81d5-47d7-b346-caa8d7ef2a42 (old id 1444876)
- date added to LUP
- 2016-04-04 13:09:59
- date last changed
- 2022-01-31 19:07:50
@article{fd7413d5-81d5-47d7-b346-caa8d7ef2a42,
abstract = {{Solid waste collection and hauling account for the greater part of the total cost in modern solid waste management systems. In a recent initiative, 3,300 Swedish recycling containers have been fitted with level sensors and wireless communication equipment thereby giving waste collection operators access to real-time information on the status of each container. In a previous study (Johansson, 2006), analytical modeling and discrete-event simulation have been used to evaluate different scheduling and routing policies utilizing the real-time data, and it has been shown that dynamic scheduling and routing policies exist that have lower operating costs, shorter collection and hauling distances, and reduced labor hours compared to the static policy with fixed routes and pre-determined pick-up frequencies employed by many waste collection operators today. This study aims at further refining the scheduling and routing policies by employing a model predictive control (MPC) framework on the system. In brief, the MPC controller should minimize an objective cost function consisting of fixed and variable collection and hauling costs for a fixed future horizon by calculating a sequence of tactical scheduling and routing decisions that satisfies system constraints using a receding horizon strategy.}},
author = {{Johansson, Ola and Johansson, Rolf}},
issn = {{2405-8963}},
language = {{eng}},
number = {{1}},
pages = {{4481--4486}},
publisher = {{IFAC Secretariat}},
series = {{IFAC Proceedings Volumes (IFAC-PapersOnline)}},
title = {{Model Predictive Control for Scheduling and Routing in a Solid Waste Management System}},
volume = {{17}},
year = {{2008}},
}