Results 81 to 90 of about 14,397 (225)

Energy‐aware flexible job shop scheduling problem with nonlinear routes and position‐based learning effect

open access: yesInternational Transactions in Operational Research, Volume 33, Issue 2, Page 860-891, March 2026.
Abstract Sustainability has become one of the main objectives in all human activities and, in particular, in manufacturing environments. In this paper, we consider the flexible job shop scheduling problem with the objective of minimizing energy consumption.
Ernesto G. Birgin   +2 more
wiley   +1 more source

Local Optima Networks for the Permutation Flowshop Scheduling Problem: Makespan vs. Total Flow Time [PDF]

open access: yes, 2017
Local Optima Networks were proposed to understand the structure of combinatorial landscapes at a coarse-grained level. We consider a compressed variant of such networks with features that are meaningful for the study of search difficulty in the context ...
Daolio, Fabio   +8 more
core   +1 more source

Dynamic flexible job shop scheduling using greedy actor–neural critic PPO reinforcement learning algorithm [PDF]

open access: yesJournal of Project Management
Dynamic Flexible Job Shop Scheduling (DFJSS) is a critical challenge in smart manufacturing due to dynamic job arrivals, machine breakdowns, routing flexibility, and multi-objective performance requirements.
Selva Kumar Chandrasekar   +3 more
doaj   +1 more source

Stall‐Free Asynchronous State Repartitioning With a Proactive Workload Tracking Window

open access: yesConcurrency and Computation: Practice and Experience, Volume 38, Issue 3, February 2026.
ABSTRACT High‐throughput stateful applications rely on dynamic data repartitioning to adapt to changing workloads, but this process presents significant challenges. This paper provides a detailed analysis of such challenges, drilling down into the tradeoffs between adaptation, computational overhead, and service availability. We identify that a primary
Douglas Pereira Luiz   +1 more
wiley   +1 more source

Railway scheduling reduces the expected project makespan. [PDF]

open access: yes
The Critical Chain Scheduling and Buffer Management (CC/BM) methodology, proposed by Goldratt (1997), introduced the concepts of feeding buffers, project buffers and resource buffers as well as the roadrunner mentality.
Demeulemeester, Erik, Tian, Wendi
core  

Performance Improvement Rate (%) on Makespan.

open access: yes, 2016
Performance Improvement Rate (%) on Makespan.
Gaddafi Abdul-Salaam (3158541)   +3 more
core   +1 more source

Exponential Size Neighborhoods for Makespan Minimization Scheduling [PDF]

open access: yes, 2011
We investigate the quality of local search heuristics for the scheduling problem of minimizing the makespan on identical parallel machines. We study exponential size neighborhoods (whose size grows exponentially with the input length) that can be ...
Brüggemann, T.   +7 more
core   +1 more source

Performance and Cost Evaluation of StarPU on AWS: Case Studies With Dense Linear Algebra Kernels and N‐Body Simulations

open access: yesConcurrency and Computation: Practice and Experience, Volume 38, Issue 3, February 2026.
ABSTRACT Task‐based programming interfaces introduce a paradigm in which computations are decomposed into fine‐grained units of work known as “tasks”. StarPU is a runtime system originally developed to support task‐based parallelism on on‐premise heterogeneous architectures by abstracting low‐level hardware details and efficiently managing resource ...
Vanderlei Munhoz   +5 more
wiley   +1 more source

Heuristics for the Logistic Order-Picking Problem with One-Directional Conveyor and Buffers

open access: yesApplied Sciences
Order picking is one of the most time-consuming and cost-intensive operations in distribution centers, particularly when material flow is constrained by fixed transport infrastructure.
Kateryna Czerniachowska   +1 more
doaj   +1 more source

Local search performance guarantees for restricted related parallel machine scheduling [PDF]

open access: yes
We consider the problem of minimizing the makespan on restricted related parallel machines. In restricted machine scheduling each job is only allowed to be scheduled on a subset of machines. We study the worst-case behavior of local search algorithms. In
Recalde Diego   +3 more
core  

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