The Experts below are selected from a list of 912099 Experts worldwide ranked by ideXlab platform
Ramesh K. Agarwal - One of the best experts on this subject based on the ideXlab platform.
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Production control for manufacturing systems with uncertain Processing Time
Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334), 2000Co-Authors: El-kébir Boukas, Peng Shi, Ramesh K. AgarwalAbstract:Studies the inventory control problem for a production system with uncertain Processing Time and delay in control. The problem of robust control of the system with parametric uncertainty is investigated. A linear matrix inequality approach is employed to solve the above problems.
Giovanna Ferrari - One of the best experts on this subject based on the ideXlab platform.
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Starch-Based Hydrogels Produced by High-Pressure Processing (HPP): Effect of the Starch Source and Processing Time
Food Engineering Reviews, 2020Co-Authors: Dominique Larrea-wachtendorff, Isabel Sousa, Giovanna FerrariAbstract:Starch-based hydrogels are natural polymeric structures of high scientific interest in the food, pharma, and cosmetic sectors. In this work, the effects of the starch source (rice, corn, wheat, and tapioca starch) and Processing Time (600 MPa for 5 and 15 min) on gel formation and on the physical characteristics of the structures formed were evaluated. At the pressure level utilized, all the starches were completely gelatinized regardless of the Processing Time tested. The hydrogels obtained displayed a shear-thinning and gel-like behavior (G' > G"). HPP, under the Processing conditions tested, was more effective in producing hydrogels based on tapioca and rice than on corn and wheat starch. Rice, wheat, and corn starch HPP hydrogels showed a cream-like structure, whereas those based on tapioca starch evidenced a more compact structure. With a HPP Processing Time of 15 min, tapioca and rice starch HPP hydrogels displayed higher viscosity, G', and firmness, suggesting an overall structural reinforcement. However, with 15 min of Processing Time, the lightness and whiteness of rice, wheat, and corn starch HPP hydrogels were negatively influenced, presumably as a consequence of the increased amount of water absorbed in starch granules. These results suggest that both the starch source and Processing Time play an important role in the formation of gels from starch suspensions and affect the physical characteristics of HPP hydrogels. Finally, the natural products obtained might be suitable for use in several applications where either creamy or gummy structures are desirable.
Nanlei Chen - One of the best experts on this subject based on the ideXlab platform.
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Flexible job shop scheduling problem with interval grey Processing Time
Applied Soft Computing, 2018Co-Authors: Naiming Xie, Nanlei ChenAbstract:Abstract Job Processing Time is not always given accurately as a Time quota in a production system, particularly in the complex products manufacturing process. It is meaningful to study novel model and algorithm based on uncertainty Processing Time so as to solve uncertainty job shop scheduling problems. This paper defines inaccurate Time quota as interval grey Processing Time and subsequently proposes a novel uncertainty job shop scheduling model with the objective of minimizing the interval grey makespan. By defining the arithmetic operations and Gantt chart of interval grey Processing Time, the elitism genetic algorithm coupling elitism strategy in external memory is designed. Finally, the proposed algorithm is tested with different size cases of composite components job-shop scheduling. Results show the proposed algorithm is suitable for solving the uncertainty job shop scheduling problem with interval grey Processing Time.
Eiji Oki - One of the best experts on this subject based on the ideXlab platform.
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NOMS - Network Service Mapping and Scheduling under Uncertain Processing Time
NOMS 2020 - 2020 IEEE IFIP Network Operations and Management Symposium, 2020Co-Authors: Yuncan Zhang, Eiji OkiAbstract:This paper proposes an optimization model for the network service mapping and scheduling problem with uncertain Processing Time. We model Processing Time uncertainty through Γ-robustness approach, which provides different degrees of robustness against Processing Time uncertainty. We formulate the problem with the objective to minimize the worst-case makespan over the given uncertainty set. A heuristic is presented to tackle the problem. The numerical results show that the proposed model outperforms the conventional model with deterministic parameters in terms of worst-case makespan.
El-kébir Boukas - One of the best experts on this subject based on the ideXlab platform.
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Production control for manufacturing systems with uncertain Processing Time
Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334), 2000Co-Authors: El-kébir Boukas, Peng Shi, Ramesh K. AgarwalAbstract:Studies the inventory control problem for a production system with uncertain Processing Time and delay in control. The problem of robust control of the system with parametric uncertainty is investigated. A linear matrix inequality approach is employed to solve the above problems.
