Measuring the efficiency of assembled printed circuit boards with undesirable outputs using data envelopment analysis

2012 ◽  
Vol 136 (1) ◽  
pp. 194-206 ◽  
Author(s):  
Vincent Charles ◽  
Mukesh Kumar ◽  
S. Irene Kavitha
Cryptography ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 11
Author(s):  
Mitchell Martin ◽  
Jim Plusquellic

Physical Unclonable Functions (PUFs) are primitives that are designed to leverage naturally occurring variations to produce a random bitstring. Current PUF designs are typically implemented in silicon or utilize variations found in commercial off-the-shelf (COTS) parts. Because of this, existing designs are insufficient for the authentication of Printed Circuit Boards (PCBs). In this paper, we propose a novel PUF design that leverages board variations in a manufactured PCB to generate unique and stable IDs for each PCB. In particular, a single copper trace is used as a source of randomness for bitstring generation. The trace connects three notch filter structures in series, each of which is designed to reject specific but separate frequencies. The bitstrings generated using data measured from a set of PCBs are analyzed using statistical tests to illustrate that high levels of uniqueness and randomness are achievable.


2020 ◽  
Vol 54 (2) ◽  
pp. 325-339
Author(s):  
Changyong Liang ◽  
Binyou Wang ◽  
Tao Ding ◽  
Yinchao Ma

Many researchers have concentrated on production planning issues by using data envelopment analysis (DEA). However, the assumption made by existing approaches that all decision making units (DMUs) are equipped with the same level of production technology is not realistic. Additionally, with the development in the society, environmental factors have come to play important roles in the production process as well. Thus, undesirable outputs should be considered in production planning problems. Therefore, this paper considers the technology heterogeneity factors and undesirable outputs using the data envelopment analysis-based production planning approach. Two examples containing a numerical example that compare with other method and a real sample that concerns the industrial development of 30 provinces in China are used to validate the applicability of our approach.


Author(s):  
Vincent Charles ◽  
Mukesh Kumar ◽  
Irene Kavitha Charles

The Printed Circuit Board (PCB) assembling production process is generally optimized to ensure very low levels of production errors (defects) so as to assure a higher quality product. In view of the number of components and solder joints in the products, and the very high demands placed on quality, the operation of this process is critical to the success of the products that are manufactured. A special class of the efficiency identification problem considered in this case relates to the occurrence of different kinds of production errors during the assembling process of the PCBs. However, the process of assembling often gets influenced by certain factors, which make some of the assembled PCBs to be defective. This chapter addresses the efficiency identification problem of a teleprinter-manufacturing company that assembles PCBs. The technique of Data Envelopment Analysis (DEA) is used to assess the efficiency of different types of PCBs.


MATEMATIKA ◽  
2020 ◽  
Vol 36 (2) ◽  
pp. 157-179
Author(s):  
Hamid Hosseini ◽  
Sara Fanati Rashidi ◽  
Ali Hamzehee

Environmental changes resulting from industrial activity have been occurring for many years, and with the increasing production of greenhouse gases and other pollutants, these changes have played a critical role in global warming. Nowadays, all countries have become aware of the great importance of attention to the environment alongside economic growth. Therefore, they are all after solutions that would allow maximum economic growth with minimum harm to the environment. In the present study, the environmental efficiency of a given system is evaluated using data envelopment analysis (DEA). For this purpose, the economic and environmental dimensions are taken into consideration for each decision-making unit (DMU), with the condition of having undesirable outputs in the environmental dimension. Then, using the concept of “order of efficiency”, an enhanced DEA method is proposed based on weak and strong disposability axioms, which can be used to compare and rank units with undesirable outputs. Next, the capabilities of the proposed approach are demonstrated through an example involving various industries in Iran. Enhanced DEA not only takes more comprehensive input and output sets into account but also monitors the units based on the principles of sustainability.


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