Internal mail transport at processing & distribution centers. (4th March 2017)
- Record Type:
- Journal Article
- Title:
- Internal mail transport at processing & distribution centers. (4th March 2017)
- Main Title:
- Internal mail transport at processing & distribution centers
- Authors:
- Yang, Yutian
Bard, Jonathan F. - Abstract:
- ABSTRACT: This article addresses a Vehicle Routing Problem (VRP) within mail processing and distribution centers. Throughout the day, large volumes of partially processed mail must be transferred between workstations in accordance with narrow time windows and a host of operational constraints. To facilitate management supervision, it is first necessary to cluster the pickup and delivery points into zones. Given these zones, the first objective is to solve a VRP to minimize the number of vehicles required to satisfy all demand requests and, second, to minimize the total distance traveled. A solution consists of an invariant assignment of vehicles to zones and a routing plan for each 8-hour shift of the day. The clustering is performed with a greedy randomized adaptive search procedure, and two heuristics are developed to find solutions to the VRP, which proved intractable for realistic instances. The heuristics are optimization based within a rolling horizon framework. The first uses a fixed time increment and the second a fixed number of requests for each sub-problem. The respective solutions are pieced together to determine the "optimal" fleet size and set of routes. An extensive analysis was undertaken to evaluate the relative performance of the two heuristics and to better understand how solution quality is affected by changes in parameter values, including sub-problem size, vehicle speed, number of zones, and time window length. Test data were provided by the ChicagoABSTRACT: This article addresses a Vehicle Routing Problem (VRP) within mail processing and distribution centers. Throughout the day, large volumes of partially processed mail must be transferred between workstations in accordance with narrow time windows and a host of operational constraints. To facilitate management supervision, it is first necessary to cluster the pickup and delivery points into zones. Given these zones, the first objective is to solve a VRP to minimize the number of vehicles required to satisfy all demand requests and, second, to minimize the total distance traveled. A solution consists of an invariant assignment of vehicles to zones and a routing plan for each 8-hour shift of the day. The clustering is performed with a greedy randomized adaptive search procedure, and two heuristics are developed to find solutions to the VRP, which proved intractable for realistic instances. The heuristics are optimization based within a rolling horizon framework. The first uses a fixed time increment and the second a fixed number of requests for each sub-problem. The respective solutions are pieced together to determine the "optimal" fleet size and set of routes. An extensive analysis was undertaken to evaluate the relative performance of the two heuristics and to better understand how solution quality is affected by changes in parameter values, including sub-problem size, vehicle speed, number of zones, and time window length. Test data were provided by the Chicago center. … (more)
- Is Part Of:
- IISE transactions. Volume 49:Number 3(2017)
- Journal:
- IISE transactions
- Issue:
- Volume 49:Number 3(2017)
- Issue Display:
- Volume 49, Issue 3 (2017)
- Year:
- 2017
- Volume:
- 49
- Issue:
- 3
- Issue Sort Value:
- 2017-0049-0003-0000
- Page Start:
- 285
- Page End:
- 303
- Publication Date:
- 2017-03-04
- Subjects:
- Material handling -- vehicle routing problem -- pickup and delivery -- time windows -- rolling horizon -- clustering
Industrial engineering -- Periodicals
Systems engineering -- Periodicals
Industrial engineering
Systems engineering
Electronic journals
Periodicals
670.285 - Journal URLs:
- http://www.tandfonline.com/uiie ↗
http://www.tandfonline.com/openurl?genre=journal&stitle=uiie20 ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/0740817X.2016.1217104 ↗
- Languages:
- English
- ISSNs:
- 2472-5854
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 324.xml