Results 41 to 50 of about 13,809 (278)
This research examined the scheduling of jobs with multiple stages unto identical parallel machines to minimize the makespan. The work is motivated by a Flexible Manufacturing System case that produces various parts and has multiple machining centers ...
Eka Pakpahan, Kenneth David Sumarna
doaj +1 more source
A Modified Multi-Step Crossover Fusion (MSXF) In Solving Some Deterministic Job Shop Scheduling Problem (JSSP) [TS157.5. M214 2008 f rb]. [PDF]
This thesis addresses the job shop scheduling problem (JSSP) with the objective of minimising the makespan value. Tesis ini membincangkan masalah penskedulan kerja kedaian (JSSP) dengan objektif untuk meminimumkan masa ...
Omar, Mahanim
core
On‐Time Meal Delivery Assisted by Drone Resupply
ABSTRACT Ensuring timely delivery is crucial with the increasing competition in online meal delivery services. This requires the industry to adopt new technologies and the corresponding operational models, including the use of drones. Concerning the desired features of meal delivery, such as safety and reliability, we propose an operational model that ...
Wenqian Liu, Lindong Liu, Xiangtong Qi
wiley +1 more source
Production Time Optimization using Campbell Dudek Smith (CDS) Algorithm for Production Scheduling [PDF]
The production time optimization study used the Campbell Dudek smith (CDS) algorithm in the production process scheduling aimed at makespan optimization for engine operation to produce 12-size pan products, 14-size griddle, 16-size griddle, 18-size ...
Mashuri Chamdan +4 more
doaj +1 more source
Self-adaptive cuckoo search algorithm for hybrid flowshop makespan problem
As a typical NP-hard combination optimization problem, the hybrid flow shop widely exists in manufacturing systems. In this paper, a mathematical model of hybrid flow shop is formulated, and then a new encoding and decoding method based on matrix is ...
Han Zhonghua +5 more
core +1 more source
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling +3 more
wiley +1 more source
Multiobjective Task Scheduling in Cloud Environment Using Decision Tree Algorithm
In recent years, Cloud computing has been developed and become the foundation of a wide range of applications. It allows users to access a catalog of standardized services and respond to their business needs flexibly and adaptively, in the event of ...
Hadeer Mahmoud +3 more
doaj +1 more source
Abstract We address the scheduling conflicting jobs on parallel identical machines problem with makespan minimization, a classical and computationally challenging variant of parallel machine scheduling. We develop and evaluate three distinct solution methodologies: a novel constraint programming (CP) formulation, and two metaheuristics: a multi ...
Roberto Maria Rosati +3 more
wiley +1 more source
Cloud computing platform offers numerous applications and resources such as data storage, databases, and network building. However, efficient task scheduling is crucial for maximizing the overall execution time.
Adeel Ahmed +5 more
doaj +1 more source

