Search Results - machine ((loading problem) OR (routing problem))

Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

Get full text
Get full text

A multi-layer perceptron for scheduling cellular manufacturing systems in the presence of unreliable machines and uncertain cost by Delgoshaei, Aidin, Gomes, Chandima

“…Our findings indicate that the uncertain condition of system costs affects the routing of product parts and may induce machine-load variations that yield to cell-load diversity. …”
Get full text
Get full text

Development of cell formation algorithm and model for cellular manufacturing system by Nouri, Hossein

“…The CMS relies on the principle of grouping machines into machine cells and grouping machine parts into part families that is named cell formation. …”
Get full text
Get full text

Particle swarm optimization (PSO) for CNC route problem by Nur Azia Azwani, Ismail

“…The purpose of this study is to develop the application of Particle Swarm Optimization (PSO) which applicable to CNC machine route problem. In this project, the problem of CNC machine can be identifying by routing problem which it become more complicated to solve without use of any optimization method. …”
Get full text
Get full text

Ant colony optimization (ACO) algorithm for CNC route problem by Wan Nur Farhanah , Wan Zakaria

“…The holes on the PCB had been drilled by using Computer Numerical Controlled (CNC) machines. However, the CNC machines do not choose the optimal route when completing their task and this caused the high cost problem on the machining. …”
Get full text
Get full text

Green machine learning approach for QoS improvement in cellular communications by Saeed, Mamoon M., Saeed, Rashid A., Azim, Mohammad Abdul, Ali, Elmustafa Sayed, Mokhtar, Rania A., Khalifa, Othman Omran

“…The paper also presents the technical concept of green ML approaches to solve significant problems in cellular communications, in addition to future aspects and considerations for energy consumption minimization using the green ML approach in cellular radio communications.…”
Get full text
Get full text
Get full text

Mixed integer goal programming model for flexible job shop scheduling problem (FJSSP) with load balancing / Shirley Sinatra Gran by Gran, Shirley Sinatra

“…The MIGP model formulated is to solve FJSSP with three objective functions, which are to minimize the makespan, the total machining time and the mean absolute deviation of the total machining time to achieve machine’s load balancing. …”
Get full text
Get full text

Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems by Nazif, Habibeh

“…We particularly focus on four problems: single machine family scheduling problem with maximum lateness, single machine family scheduling problem with total weighted completion time, capacitated vehicle routing problem and vehicle routing problem with time windows. …”
Get full text
Get full text

A New Machine Learning-based Hybrid Intrusion Detection System and Intelligent Routing Algorithm for MPLS Network by Ridwan M.A., Radzi N.A.M., Azmi K.H.M., Abdullah F., Ahmad W.S.H.M.W.

“…Machine Learning (ML) is seen as a promising application that offers autonomous learning and provides optimized solutions to complex problems. …”

Machine learning based route optimization for the travelling salesman problem with pickup and delivery by Ong, Zhi Ying

Get full text
Get full text

Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems by Umar, Umar Ali

“…Solving AGVs conflict free routing, dispatching and simultaneous scheduling of the jobs and AGVs in FMS in an integrated manner is identified as the only means of safeguarding the feasibility of the solution to each sub-problem. …”
Get full text
Get full text

Implementation of machine learning algorithm in preventing network congestion by Noorazimah binti Ali Sabri

Mixed-load machine utilization improvement and transfer batch size optimization using hybrid simulation approach by Asih, Hayati Mukti

“…Firstly, the problem of mixed-load tester was formulated through a mathematical model. …”
Get full text
Get full text
Get full text
Get full text

Development of improved bottleneck-based heuristic for re-entrant flow shop with dominant machine at M1 and M4 by Mohd Fidzwan, Md Amin Hamzas, Ahmad Bareduan, Salleh, Liyana, Tajul, Mohd Sabri, Hussin, Zailani, Zainal Abidin, Hasnul, Hadi

Get full text

Fuzzy multi-criteria analysis for machine tool selection and optimal machine loading in flexible manufacturing cell / Nguyen Huu Tho by Nguyen , Huu Tho

“…In particular, production planning related to machine loading problem (MLP) should be firstly considered when starting production process. …”
Get full text
Get full text
Get full text

Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy by Yap K.S., Yap H.J.

Subjects:

NanoPC ARM-Based Panel Saw Machine with Industrial Internet of Things by Farag, Mohannad, Aboosaeedan, Ehsan, Eugene Ng, Keng Leong

“…Floor-mounted machines comprise of a loading station and cutting surface where panels are transferred from the loading to the cutting station. …”
Get full text
Get full text
Get full text

Comparison of Electricity Load Prediction Errors Between Long Short-Term Memory Architecture and Artificial Neural Network on Smart Meter Consumer by Salleh N.S.M., Suliman A., J�rgensen B.N.

“…Brain; Errors; Forecasting; Learning algorithms; Mean square error; Memory architecture; Network architecture; Smart meters; Time series; Demand-side; Electricity load; Error values; Load predictions; Machine learning algorithms; Mean absolute error; Mean squared error; Prediction errors; Regression problem; Times series; Long short-term memory…”

Development of bacteria foraging optimization algorithm for cell formation in cellular manufacturing system considering cell load variations by Nouri, Hossein, Tang, Sai Hong

“…In this paper, an attempt is made to solve the cell formation problem while considering cell load variations and a number of exceptional elements. …”
Get full text
Get full text

A hybrid bio-inspired and musical-harmony approach for machine loading optimization in flexible manufacturing system by Yusof, Umi Kalsom, Budiarto, Rahmat, Deris, Safaai

“…Manufacturing industries are facing fierce challenges in handling product competitiveness, shorter product cycle time and product varieties.The situation demands a need to improve the effectiveness and efficiency of capacity planning and resource optimization while still maintaining their flexibilities.Machine loading - one of the important components of capacity planning is known for its complexity that encompasses various types of flexibilities pertaining to part selection, machine and operation assignment along with constraints.Various studies are done to balance the productivity and flexibility in Flexible Manufacturing System (FMS).From the literature, researchers have developed many approaches to reach a suitable balance of exploration (global improvement) and exploitation (local improvement).We adopt a hybrid of population approaches; hybrid constraint-chromosome genetic algorithm and harmony search algorithm (H-CCGaHs), to solve this problem that aims at mapping a feasible solution to the domain problem.The objectives are to minimize the system unbalance as well as to increase the through-put while satisfying the constrains such as machine time availability and tool slots.The proposed algorithm is tested for it performance on 10 sample problems available in FMS literature and compared with existing solution approaches.…”
Get full text
Get full text
Get full text