A Pythagorean fuzzy approach to the transportation problem

Kumar, Ranjan; Edalatpanah, S. A.; Jha, Sudhanshu Kumar; Singh, Ranjeet Kumar

doi:10.1007/s40747-019-0108-1

Cited by 90 publications

(36 citation statements)

References 63 publications

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“…Fuzzy capacity and production planning model II is a FMILP problem that is converted into an equivalent mixedinteger linear programming (MILP) model to facilitate the problem solving [17]. To this end, the following theorems are helpful.…”

Section: Steps 5-6: Capacity and Production Planning By Considering Smentioning

confidence: 99%

A fuzzy mid-term capacity and production planning model for a manufacturing system with cloud-based capacity

Chen

Wang

2020

Complex Intell. Syst.

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Most of the past cloud manufacturing (CMfg) studies investigated the short-term production planning or job scheduling of a CMfg system, while the mid-term or long-term capacity and production planning of a CMfg system has rarely been addressed. In addition, most existing methods are suitable for CMfg systems comprising three-dimensional (3D) printers, computer numerical control (CNC) machines or robots, but ignore the coordination and transportation required for moving jobs across factories. To fill these gaps, a fuzzy mid-term capacity and production planning model for a manufacturer with cloud-based capacity is proposed in this study. The proposed methodology guides a manufacturer in choosing between noncloud-based capacity and cloud-based capacity. It can be applied to factories utilizing machines with different degrees of automation including highly automatic equipment (such as 3D printers, CNC machines, and robots) and lowly automatic (legacy) machines, while existing methods assume that orders can be easily transferred between machines that are often highly automatic. In the proposed methodology, first, various types of capacity are unequally prioritized. Then, a fuzzy mixed-integer nonlinear programming model is formulated and optimized to make the mid-term or long-term capacity and production plan of a factory. The fuzzy capacity and production planning model is designed for factories with parallel machines. The proposed methodology has been applied to a case to illustrate its applicability. According to the experimental results, the proposed methodology successfully reduced total costs by up to 8%. The advantage of the proposed methodology over existing practices in fulfilling customers' demand was also obvious.

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Section: Steps 5-6: Capacity and Production Planning By Considering Smentioning

confidence: 99%

A fuzzy mid-term capacity and production planning model for a manufacturing system with cloud-based capacity

Chen

Wang

2020

Complex Intell. Syst.

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“…Sensor noise extracted from images can also be served as the camera fingerprint and this can be done using an approach suggested by Chang-Tsun Li [32,33] were in he proposed the use of an SPN Enhancer which provides an increased rate of device identification. So keeping that in mind we use a defense in depth approach by firstly using the method proposed and also chaining it with some of the operational mitigation which I suppose would be a solution for the problems mentioned above.…”

Section: Literature Reviewmentioning

confidence: 99%

Anti-Forensics: Countering Sensor Noise Camera Identification

Suvarna¹

2020

EPRA

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In simple terms, Anti-Forensics can be told as the techniques used to counter forensic analysis done by forensic investigators. This paper mainly focuses on some of the most used anti-forensics techniques along with the challenges the forensics investigator faces. There are many tools and techniques available that when used properly can be highly effective against the forensic analysis techniques. Various tools assist you against various anti-forensics techniques like Elimination of evidence source, Data hiding, and Trail obfuscation. These techniques are used mainly to make the investigation consume more time and money. Sensor Noise Camera Identification is a way to link a photo with the camera the photo was taken from using a noise signature that is unique for every camera. KEYWORDS: Anti-Forensics (AF), Forensic Analysis, Anti-Forensic Techniques, Sensor Noise Camera Identification

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“…However, fuzzy sets (FSs) deliberate only the membership function and cannot arrange other parameters of vagueness. erefore, intuitionistic fuzzy sets (IFSs) have been introduced in [20], see also the Pythagorean fuzzy sets [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

A Neutrosophic-Based Approach in Data Envelopment Analysis with Undesirable Outputs

Mao

Guo

Fallah

et al. 2020

Mathematical Problems in Engineering

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Data Envelopment Analysis is one of the paramount mathematical methods to compute the general performance of organizations, which utilizes similar sources to produce similar outputs. Original DEA schemes involve crisp information of inputs and outputs that may not always be accessible in real-world applications. Nevertheless, in some cases, the values of the data are information with indeterminacy, impreciseness, vagueness, inconsistent, and incompleteness. Furthermore, the conventional DEA models have been originally formulated solely for desirable outputs. However, undesirable outputs may additionally be present in the manufacturing system, which wishes to be minimized. To tackle the mentioned issues and in order to obtain a reliable measurement that keeps original advantage of DEA and considers the influence of undesirable factors under the indeterminate environments, this paper presents a neutrosophic DEA model with undesirable outputs. The recommended technique is based on the aggregation operator and has a simple construction. Finally, an example is given to illustrate the new model and ranking approach in details.

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A Pythagorean fuzzy approach to the transportation problem

Cited by 90 publications

References 63 publications

A fuzzy mid-term capacity and production planning model for a manufacturing system with cloud-based capacity

A fuzzy mid-term capacity and production planning model for a manufacturing system with cloud-based capacity

Anti-Forensics: Countering Sensor Noise Camera Identification

A Neutrosophic-Based Approach in Data Envelopment Analysis with Undesirable Outputs

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