Results 71 to 80 of about 14,397 (225)
Setup‐Optimized Sequencing in Job Shops: Modeling Workstation Productivity and Lateness Behavior
Setup‐optimized sequencing in job‐shop production creates a trade‐off between productivity improvement and schedule reliability. A WIP‐explicit modeling framework links sequencing‐induced productivity gains and lateness dispersion through the production operating curve.
Friederike Stefanowski +2 more
wiley +1 more source
The complexity of makespan minimization for pipeline transportation
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ruy Luiz Milidiú +2 more
openaire +3 more sources
Abstract In the last decade, explainability has been attracting much attention in the machine learning community. However, this research topic extends beyond this field to encompass others such as operations research and combinatorial optimization (CO).
Mathieu Lerouge +3 more
wiley +1 more source
Makespan - Right Normal Distributed Dataset.
Makespan - Right Normal Distributed Dataset.
Mohammed Abdullahi (846140) +1 more
core +1 more source
Approximation results for flow shop scheduling problems with machine availability constraints [PDF]
This paper considers two-machine flow shop scheduling problems with machine availability constraints. When the processing of a job is interrupted by an unavailability period of a machine, we consider both the resumable scenario in which the processing ...
Strusevich, Vitaly A. +2 more
core +1 more source
In the flow shop scheduling each job will go through every machine in the same order. The goal of this research is to complete a series of jobs in order to obtain the optimal makespan for stick skewers rounding machine.
Dian Setiya Widodo +2 more
doaj +1 more source
Rat swarm position update mechanism in HRSA‐RSO, illustrating the collective exploration behavior around the prey target (A*, B*). ABSTRACT The permutation flow shop scheduling problem (PFSSP) is a classical NP‐hard problem that aims to determine an optimal job sequence across machines to minimize makespan.
Mourad Mzili +5 more
wiley +1 more source
Anytime Lexicographic Enumeration of the Pareto Front in Multi‐Objective Combinatorial Optimisation
ABSTRACT Multi‐objective combinatorial optimisation problems are widespread in real‐world scenarios, including resource allocation, scheduling and logistics, where multiple competing objectives need to be optimised simultaneously. In industrial contexts, lexicographic optimisation is often used to solve these problems, requiring the decision‐maker (DM)
Marco Foschini +3 more
wiley +1 more source
Makespan - Left Normal Distributed Dataset.
Makespan - Left Normal Distributed Dataset.
Mohammed Abdullahi (846140) +1 more
core +1 more source
Hybrid Flow Shop Scheduling Problems Using Improved Fireworks Algorithm for Permutation
Prior studies are lacking which address permutation flow shop scheduling problems and hybrid flow shop scheduling problems together to help firms find the optimized scheduling strategy.
Xuelian Pang +4 more
doaj +1 more source

