A deteriorating inventory routing problem for an inland liquefied natural gas distribution network. (August 2019)
- Record Type:
- Journal Article
- Title:
- A deteriorating inventory routing problem for an inland liquefied natural gas distribution network. (August 2019)
- Main Title:
- A deteriorating inventory routing problem for an inland liquefied natural gas distribution network
- Authors:
- Ghiami, Yousef
Demir, Emrah
Van Woensel, Tom
Christiansen, Marielle
Laporte, Gilbert - Abstract:
- Highlights: A deteriorating inventory routing problem for LNG distribution network is introduced. The evaporation property of LNG in the distribution network is modeled. A matheuristic including a new set of operators is developed. Relevant managerial insights on several replenishment policies are obtained. Abstract: Liquefied Natural Gas (LNG) is natural gas that is converted into its liquid state for logistical benefits. It is also becoming a more viable alternative energy source due to its price competitiveness and environmental friendliness. We study an inventory routing problem for inland distribution of LNG from a storage facility to several filling stations. Here, a transport planner is responsible for the inventory management at the storage facility and filling stations, as well as for the routing and scheduling of a heterogeneous fleet of vehicles. LNG evaporates at a constant rate over time at the storage facility and at the filling stations, and this characteristic relates to the inventory management problems with deterioration described in the literature. Therefore, the problem under study is denoted an LNG Deteriorating Inventory Routing Problem (LNG-DIRP). As a solution method, we propose a matheuristic that combines a mixed integer programming formulation and an adaptive large neighborhood search algorithm. Results of extensive computational experiments confirm the efficiency of the proposed solution method and provide managerial insights to promote LNG as anHighlights: A deteriorating inventory routing problem for LNG distribution network is introduced. The evaporation property of LNG in the distribution network is modeled. A matheuristic including a new set of operators is developed. Relevant managerial insights on several replenishment policies are obtained. Abstract: Liquefied Natural Gas (LNG) is natural gas that is converted into its liquid state for logistical benefits. It is also becoming a more viable alternative energy source due to its price competitiveness and environmental friendliness. We study an inventory routing problem for inland distribution of LNG from a storage facility to several filling stations. Here, a transport planner is responsible for the inventory management at the storage facility and filling stations, as well as for the routing and scheduling of a heterogeneous fleet of vehicles. LNG evaporates at a constant rate over time at the storage facility and at the filling stations, and this characteristic relates to the inventory management problems with deterioration described in the literature. Therefore, the problem under study is denoted an LNG Deteriorating Inventory Routing Problem (LNG-DIRP). As a solution method, we propose a matheuristic that combines a mixed integer programming formulation and an adaptive large neighborhood search algorithm. Results of extensive computational experiments confirm the efficiency of the proposed solution method and provide managerial insights to promote LNG as an alternative clean energy solution for the future of transportation. Furthermore, we examine several replenishment policies that are of interest to practitioners and regulatory bodies. … (more)
- Is Part Of:
- Transportation research. Volume 126(2019)
- Journal:
- Transportation research
- Issue:
- Volume 126(2019)
- Issue Display:
- Volume 126, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 126
- Issue:
- 2019
- Issue Sort Value:
- 2019-0126-2019-0000
- Page Start:
- 45
- Page End:
- 67
- Publication Date:
- 2019-08
- Subjects:
- Liquefied natural gas -- Deteriorating item -- Inventory routing problem -- Matheuristic
Transportation -- Research -- Periodicals
Transportation -- Mathematical models -- Periodicals - Journal URLs:
- http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science/journal/01912615 ↗ - DOI:
- 10.1016/j.trb.2019.05.014 ↗
- Languages:
- English
- ISSNs:
- 0191-2615
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9026.274610
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11155.xml