Data for: A multi-objective matheuristic for designing and planning sustainable supply chains
Data for "A multi-objective matheuristic for designing and planning sustainable supply chains"
Tautenhain, C (via Mendeley Data)
core +1 more source
Bi-objective facility location under uncertainty with an application in last-mile disaster relief. [PDF]
Nazemi N, Parragh SN, Gutjahr WJ.
europepmc +1 more source
Matheuristic Algorithms for the Inventory Routing Problem With Unsplit and Split Deliveries
We introduce new matheuristic algorithms for the Inventory Routing Problem with unsplit and split deliveries for both Order-Up-to Level and Maximum Level replenishment policies.
Archetti C., Bertazzi L., Dinh N. M.
core +1 more source
An Efficient Merge Search Matheuristic for Maximising Net Present Value in Project Scheduling
An Efficient Merge Search Matheuristic for Maximising Net Present Value in Project ...
Christian Blum (1335768) +3 more
core
On the mass COVID-19 vaccination scheduling problem. [PDF]
Zhang C, Li Y, Cao J, Wen X.
europepmc +1 more source
A matheuristic approach to the air-cargo recovery problem under demand disruption. [PDF]
Delgado F, Mora J.
europepmc +1 more source
Matheuristic approaches for multi-product 3-dimensional container loading problem
The problem of packing cases in three-dimensional space in a space-efficient manner is a challenging optimization problem that has wide application in supply-chain and logistics planning across various industries where physical products must be loaded ...
Riddhesh Nitin Kumtakar +4 more
doaj +1 more source
Editorial: Smart and sustainable supply chain and logistics - trends, challenges, methods and best practices. [PDF]
Golinska-Dawson P +3 more
europepmc +1 more source
A matheuristic for solving the single row facility layout problem
The single row facility layout problem (SRFLP) is classified as an NP-hard optimization problem, where a set of n facilities with individual lengths and a symmetric matrix of pairwise weights is given.
Pammer, Thomas
core +1 more source
The adoption of self-driving delivery robots in last mile logistics. [PDF]
Chen C, Demir E, Huang Y, Qiu R.
europepmc +1 more source

