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A multi-objective pigeon inspired optimization algorithm for fuzzy production scheduling problem considering mould maintenance

Xiaoyue Fu, Felix T. S. Chan, Ben Niu, Nick S. H. Chung, Ting Qu
2019 Science China Information Sciences  
Each job cannot be performed by more than one machine in a given time slot, and each machine cannot deal with more than one job in a given time slot.  ...  The comparative simulation results show that the proposed PPPIO algorithm is more efficient than other algorithms for solving the problem.  ... 
doi:10.1007/s11432-018-9693-2 fatcat:os227e6e7rdslh2fiwpwlguohy

A Bi-Objective Green Truck Routing and Scheduling Problem in a Cross Dock with the Learning Effect

MirMohammad Musavi, Reza Tavakkoli-Moghaddam, Farnaz Rayat
2017 Iranian Journal of Operations Research  
We present a bi-objective model for a green truck scheduling and routing problem at a crossdocking system.  ...  This model determines three key decisions at the cross dock: (1) defining a sequence and schedule of inbound trucks at the receiving door, (2) specifying a sequence and a schedule of outbound trucks at  ...  They used polynomial-time algorithms for all instances. Li et al. [13] presented a single-machine scheduling problem based on a common flow allowance.  ... 
doi:10.29252/iors.8.1.2 fatcat:uxclm4h2rnazhcs6gszi4wkxfu

Handling fuzzy temporal constraints in a planning environment

Marc de la Asunción, Luis Castillo, Juan Fernández-Olivares, Oscar García-Pérez, Antonio González, Francisco Palao
2007 Annals of Operations Research  
The scheduler model consists of a fuzzy temporal constraints network whose main goal is the consistency checking of the network associated to each partial order plan.  ...  intelligent decision support system for the design forest fire fighting plans.  ...  In the case of Machine T F , the delay of actions in order to flexibly modify a previous schedule is a safe process since it is based on the fuzzy temporal constraints explicitly included in the plan,  ... 
doi:10.1007/s10479-007-0207-z fatcat:ebr7cv4k7vabfbuji2pkwr3lva

Flexible Flowshop Scheduling Model with Four Stages

Neelam Tyagi, R. P. Tripathi, A. B. Chandramouli
2016 Indian Journal of Science and Technology  
Objectives: In this paper, we consider the Flexible Flowshop Scheduling (FFS) problem with parallel machines.  ...  The main objective of this paper is to obtain a good schedule of jobs to minimize the makespan of FFS problem.  ...  It is the condition for FFS that at least one machine production stage or center has to be consist more than one machines.  ... 
doi:10.17485/ijst/2016/v9i42/101905 fatcat:n4roiwmcljawrads4wqr5hbqt4

A neuro-fuzzy model for a new hybrid integrated Process Planning and Scheduling system

Alper Seker, Serpil Erol, Reha Botsali
2013 Expert systems with applications  
Therefore in this study, we use a hybrid heuristic model combining both Genetic Algorithm (GA) and Fuzzy Neural Network (FNN).  ...  Introduction of fuzzy membership functions in Artificial Neural Network (ANN) model allows us to generate fuzzy rules for production environment.  ...  Again this result supports us to use best two routes with minimum processing times as a good strategy for integrating Scheduling and PP.  ... 
doi:10.1016/j.eswa.2013.03.043 fatcat:xivdsnjvovdixnwzhed4b7aauq

PRODUCTION ENGINEERING

2009 Journal of the American Society of Naval Engineers  
The problem under study is NP-hard for makespan objective. Consequently, comparison based on Gupta's heuristics, RA heuristic's, Palmer's heuristics, CDS heuristics are proposed in this work.  ...  This paper model the problem of a flow shop scheduling with the objective of minimizing the makes pan. The objective is to minimize the make span of batch-processing machines in a flow shop.  ...  They present a genetic algorithm-based on heuristic rules for large-size SMSP.  ... 
doi:10.1111/j.1559-3584.1941.tb01541.x fatcat:hbqs6xeppbgtznarcju5vxjzei

Production Engineering

1979 Precision engineering  
The problem under study is NP-hard for makespan objective. Consequently, comparison based on Gupta's heuristics, RA heuristic's, Palmer's heuristics, CDS heuristics are proposed in this work.  ...  This paper model the problem of a flow shop scheduling with the objective of minimizing the makes pan. The objective is to minimize the make span of batch-processing machines in a flow shop.  ...  They present a genetic algorithm-based on heuristic rules for large-size SMSP.  ... 
doi:10.1016/0141-6359(79)90121-1 fatcat:dmjjghi52ffujgxgax3knvsuqq

Production Engineering [chapter]

2004 Standard Handbook of Petroleum and Natural Gas Engineering  
The problem under study is NP-hard for makespan objective. Consequently, comparison based on Gupta's heuristics, RA heuristic's, Palmer's heuristics, CDS heuristics are proposed in this work.  ...  This paper model the problem of a flow shop scheduling with the objective of minimizing the makes pan. The objective is to minimize the make span of batch-processing machines in a flow shop.  ...  They present a genetic algorithm-based on heuristic rules for large-size SMSP.  ... 
doi:10.1016/b978-075067785-1/50018-x fatcat:6fxx43ugundgpkbodpfhp3ell4

Production Engineering [chapter]

2016 Standard Handbook of Petroleum and Natural Gas Engineering  
The problem under study is NP-hard for makespan objective. Consequently, comparison based on Gupta's heuristics, RA heuristic's, Palmer's heuristics, CDS heuristics are proposed in this work.  ...  This paper model the problem of a flow shop scheduling with the objective of minimizing the makes pan. The objective is to minimize the make span of batch-processing machines in a flow shop.  ...  They present a genetic algorithm-based on heuristic rules for large-size SMSP.  ... 
doi:10.1016/b978-0-12-383846-9.00006-0 fatcat:jh7ozj633zdenegdiqnw6hsjne

Recent developments in evolutionary computation for manufacturing optimization: problems, solutions, and comparisons

C. Dimopoulos, A.M.S. Zalzala
2000 IEEE Transactions on Evolutionary Computation  
A wide range of problems is covered, from job shop and flow shop scheduling, to process planning and assembly line balancing.  ...  This paper examines recent developments in the field of evolutionary computation for manufacturing optimization.  ...  ACKNOWLEDGMENT The authors would like to thank the reviewers for their helpful comments.  ... 
doi:10.1109/4235.850651 fatcat:akevaqtprzab5cgs3y3y534aju

Packet Routing in Networks with Long Wires

R.I. Greenberg, H.C. Oh
1995 Journal of Parallel and Distributed Computing  
We also show that for edge-simple paths, there exists a schedule (which could be found o -line) of length O (cd max + D) lg(dmax) lg lg(dmax) , where d max is the maximum wire delay in the network.  ...  We give, for any constant > 0, a randomized on-line algorithm for routing any set of N packets in O((C lg (Nd) + D lg(Nd))= lg lg(Nd)) time, where C is the maximum congestion and D is the length of the  ...  This result also applies to the restricted form of job-shop scheduling with the additional restriction that no job has more than one operation on a single machine.  ... 
doi:10.1006/jpdc.1995.1153 fatcat:d6brnssi45ayljvwtolkxbcdne

Artificial Fuzzy-PID Gain Scheduling Algorithm Design for Motion Control in Differential Drive Mobile Robotic Platforms

Najah Yousfi Allagui, Farhan A. Salem, Awad M. Aljuaid, Daniele Bibbo
2021 Computational Intelligence and Neuroscience  
A fuzzy-PID control algorithm is designed with 2 inputs and 3 outputs.  ...  A robust approach called fuzzy control which is based on the conversion of linguistic inference sets in a suitable control value is a widely used method in industrial system control in our days.  ...  Figure 1 : 11 B 111 Figure 1: (a) Fuzzy algorithm structure. (b) e system architecture of fuzzy-PID gain scheduling algorithm.  ... 
doi:10.1155/2021/5542888 pmid:34707650 pmcid:PMC8545591 fatcat:msfgclu4b5f6zotpstwsla2xha

Scanning the Issue

Petros Ioannou
2018 IEEE transactions on intelligent transportation systems (Print)  
Coding-Assisted Broadcast Scheduling via Memetic Computing in SDN-Based Vehicular Networks K  ...  The authors study the joint transportation and charging scheduling for PV systems to balance the transportation and charging demands, aiming to ensure the long-term operation and more profits.  ...  Using those CD&R protocols, the result shows a reduction of more than 94% of possible NMAC.  ... 
doi:10.1109/tits.2018.2857658 fatcat:76cvnxxqv5gi7db4pvdls6sbla

A Fuzzy Neural Network Based Dynamic Data Allocation Model on Heterogeneous Multi-GPUs for Large-scale Computations

Chao-Long Zhang, Yuan-Ping Xu, Zhi-Jie Xu, Jia He, Jing Wang, Jian-Hua Adu
2018 International Journal of Automation and Computing  
This paper presents a novel dynamic load balancing (DLB) model for rapid data division and allocation on heterogeneous GPU nodes based on an innovative fuzzy neural network (FNN).  ...  Thus, the multi-GPU-based approach has become a popular and cost-effective choice for tackling the demands.  ...  Krinidis et al. had improved the fuzzy C-Means (FCM) algorithm and presented fuzzy local information C-Means (FLICM) algorithm based on fuzzy set theory for image clustering.  ... 
doi:10.1007/s11633-018-1120-4 fatcat:b6ihl6czhze4fmxqrk3isprwy4

A Fuzzy-Decision Based Approach for Composite Event Detection in Wireless Sensor Networks

Shukui Zhang, Hao Chen, Qiaoming Zhu, Juncheng Jia
2014 The Scientific World Journal  
For the unreliability of partial data in detection process and fuzziness of the event definitions in nature, we propose a cluster-based two-dimensionalτ-GAS algorithm and fuzzy-decision based composite  ...  The Composite event judgment mechanism which is based on fuzzy-decision holds the superiority of the fuzzy-logic based algorithm; moreover, it does not need the support of a huge rule base and its computational  ...  Because decision-making mechanism based on fuzzy-decision does not need the support of huge rule base, it is more practical than the decision-making mechanism based on fuzzy logic.  ... 
doi:10.1155/2014/816892 pmid:25136690 pmcid:PMC4130316 fatcat:booegzgfa5bpnbxrfobdu6qkre
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