A cross-entropy heuristic statistical modeling for determining total stochastic material handling time

Fazlollahtabar, Hamed; Olya, Mohammad Hessam

doi:10.1007/s00170-012-4596-z

Cited by 15 publications

(6 citation statements)

References 13 publications

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“…The overlap of different research fields provides more possibilities for the entropy‐based dispatching. In addition, besides the electrical, operations research and computer science, there are also promising research perspectives in less exposed areas, such as energy [77–79] and automatic control [56, 75, 80–86].…”

Section: Discussionmentioning

confidence: 99%

Entropy‐based dispatching: academic insights and perspectives through bibliometric analysis

Sheng

et al. 2020

IET Collaborative Intelligent Manufacturing

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Section: Discussionmentioning

confidence: 99%

Entropy‐based dispatching: academic insights and perspectives through bibliometric analysis

Sheng

et al. 2020

IET Collaborative Intelligent Manufacturing

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“…Entropy has been widely employed in control theory, image reconstruction, pattern recognition, probability theory, number theory, astrophysics, biology, and medicine [19][20][21][22][23][24][25][26][27]. Information entropy has a more general definition than thermodynamic entropy.…”

Section: Evaluation Methods For Contact Strain-energy Distributionmentioning

confidence: 99%

Entropy-Based Method for Evaluating Contact Strain-Energy Distribution for Assembly Accuracy Prediction

Yan

Jin

Huang

et al. 2017

Entropy

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Abstract:Assembly accuracy significantly affects the performance of precision mechanical systems. In this study, an entropy-based evaluation method for contact strain-energy distribution is proposed to predict the assembly accuracy. Strain energy is utilized to characterize the effects of the combination of form errors and contact deformations on the formation of assembly errors. To obtain the strain energy, the contact state is analyzed by applying the finite element method (FEM) on 3D, solid models of real parts containing form errors. Entropy is employed for evaluating the uniformity of the contact strain-energy distribution. An evaluation model, in which the uniformity of the contact strain-energy distribution is evaluated in three levels based on entropy, is developed to predict the assembly accuracy, and a comprehensive index is proposed. The assembly experiments for five sets of two rotating parts are conducted. Moreover, the coaxiality between the surfaces of two parts with assembly accuracy requirements is selected as the verification index to verify the effectiveness of the evaluation method. The results are in good agreement with the verification index, indicating that the method presented in this study is reliable and effective in predicting the assembly accuracy.

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“…Fazlollahtabar and Mahdavi-Amiri [19] designed a cost estimation expert system using a fuzzy rule backpropagation network that provided the cost estimation in an uncertain autonomous production network. Fazlollahtabar and Olya [20] proposed a heuristic statistical method to compute the total stochastic material handling times by autonomous robots and to find an optimal path for an advanced production system. Yokozuka and Matsumoto [21] investigated energy minimization path planning problem where robot energy consumption was significant for tactical decision-making level.…”

Section: Literature Reviewmentioning

confidence: 99%

An Effective Mathematical Programming Model for Production Automatic Robot Path Planning

Fazlollahtabar¹

2019

TOTJ

Self Cite

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Objective: Path planning for production robots has been investigated. The sequence of the orders to be processed in a certain planning horizon has been planned for the production system. Methods: Production automatic robots are employed to carry parts and products among all production stations and machining centers. The combination of machines in stations and autonomous robot evolves a production network. Results: The problem is to assign orders to robots so that paths are obtained to minimize total waiting times of production system and meanwhile provide collision-free paths. Conclusion: The proposed mathematical formulation is implemented to show the efficiency and effectiveness.

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A cross-entropy heuristic statistical modeling for determining total stochastic material handling time

Cited by 15 publications

References 13 publications

Entropy‐based dispatching: academic insights and perspectives through bibliometric analysis

Entropy‐based dispatching: academic insights and perspectives through bibliometric analysis

Entropy-Based Method for Evaluating Contact Strain-Energy Distribution for Assembly Accuracy Prediction

An Effective Mathematical Programming Model for Production Automatic Robot Path Planning

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