Incorporating fuzzy approaches for production planning in complex industrial environments: the roll shop case

Adenso‐Díaz, Belarmino; González, Ignacio; Tuya, Javier

doi:10.1016/j.engappai.2003.11.008

Cited by 16 publications

(4 citation statements)

References 28 publications

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“…Hence, the development of a mathematical model for duration estimation is complex and time-consuming. Fuzzy Logic (FL) has been proven to be an effective method for processing uncertain information in manufacturing systems (Chang, 1999;Wang et al, 1999;Adenso-Diaz et al, 2004;Singh et al, 2006).…”

Section: Fuzzy Logicmentioning

confidence: 99%

Evaluating Production Time Buffer for Precast Fabrication

Chen²

2012

EPPM-Journal

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Precast fabricators strive for business success in delivering products on time. To achieve this goal, fabricators start manufacturing once they receive specific design information. However, this strategy induces wasteful inventory. The objective of this study is to develop a Time Buffer Evaluation Model (TBEM) to promptly deliver products and maintain a smaller inventory. This model consists of two stages. The first, by using fuzzy logic, considers factors that influence construction duration. The second stage evaluates a time buffer by considering the tardiness penalty and crashing costs. In this study, one real case is tested to demonstrate the applicability of the proposed method. The application results show that the developed TBEM can reduce the level of finished goods inventory without changing production resources.

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Section: Fuzzy Logicmentioning

confidence: 99%

Evaluating Production Time Buffer for Precast Fabrication

Chen²

2012

EPPM-Journal

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“…Fuzzy set theory is becoming an increasingly important tool, especially in the rapidly evolving discipline of artificial intelligence, such as in expert systems and neural networks. It creates completely new opportunities for the application of fuzzy sets in chemical engineering [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Application to Lipschitzian and Integral Systems via a Quadruple Coincidence Point in Fuzzy Metric Spaces

Hammad

Sen

2022

Mathematics

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In this paper, the results of a quadruple coincidence point (QCP) are established for commuting mapping in the setting of fuzzy metric spaces (FMSs) without using a partially ordered set. In addition, several related results are presented in order to generalize some of the prior findings in this area. Finally, to support and enhance our theoretical ideas, non-trivial examples and applications for finding a unique solution for Lipschitzian and integral quadruple systems are discussed.

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“…Fuzzy set theory is becoming an increasingly important tool, especially in the rapidly evolving disciplines of artificial intelligence: expert systems and neural networks. It creates completely new opportunities for the application of fuzzy sets in chemical engineering [1,2,3,4].…”

Section: Introductionmentioning

confidence: 99%

Application To Lipschitzian and Integral Systems Via Quadruple Coincidence Point in Fuzzy Metric Spaces

Hammad

Sen

2021

Preprint

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Without a partially ordered set, in this manuscript, we investigate quadruple coincidence point (QCP) results for commuting mapping in the setting of fuzzy metric spaces (FMSs). Furthermore, some relevant ndings are presented to generalize some of the previous results in this direction. Ultimately, non-trivial examples and applications to nd a unique solution for Lipschitzian and integral quadruple systems are provided to support and strengthen our theoretical results.

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Incorporating fuzzy approaches for production planning in complex industrial environments: the roll shop case

Cited by 16 publications

References 28 publications

Evaluating Production Time Buffer for Precast Fabrication

Evaluating Production Time Buffer for Precast Fabrication

Application to Lipschitzian and Integral Systems via a Quadruple Coincidence Point in Fuzzy Metric Spaces

Application To Lipschitzian and Integral Systems Via Quadruple Coincidence Point in Fuzzy Metric Spaces

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