Next Article in Journal
A New Method Based on PROMETHEE and TODIM for Multi-Attribute Decision-Making with Single-Valued Neutrosophic Sets
Previous Article in Journal
A Comparative Performance Evaluation of Classification Algorithms for Clinical Decision Support Systems
Open AccessArticle

Autonomated Inspection Policy for Smart Factory—An Improved Approach

Department of Mathematics, Hooghly Mohsin College, Chinsurah, Hooghly, West Bengal 712 101, India
Department of Industrial Engineering, Hongik University, 72-1 Mapo-Gu, Sangsu-Dong, Seoul 04066, Korea
Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Sinchon-dong, Seadaemun-gu, Seoul 03722, Korea
Author to whom correspondence should be addressed.
Mathematics 2020, 8(10), 1815;
Received: 8 August 2020 / Revised: 21 September 2020 / Accepted: 30 September 2020 / Published: 16 October 2020
The proposed model focuses on an imperfect production process (IPP) in which, during long-term production, the system may change to an “out-of-control” state from an “in-control” state and produce some imperfect products because of a long production run length. Brand image and industry reputation are affected by product defectiveness. To increase the profit of any industry and improve reputation and brand image, inspection of the production system is required. However, this inspection is subjected to human error, which negatively affects the assessment of production systems. Herein, an error-free inspection is performed with the help of an autonomation policy, in which each product is inspected via a machine instead of a human, facilitating an error-free inspection and converting the production system to a smart production system. Moreover, in reality, product demand cannot always be constant. Therefore, in this model, a selling-price-dependent demand is considered along with a variable production rate to enhance model applicability. Moreover, total system profit is optimized and optimal values for production run time, inspection scheduling, selling price, buffer inventory, and production rate are determined. Finally, for model validation, some numerical examples along with special cases are provided. The concavity of the optimal function is also proven through graphical illustration. The sensitivity of the key parameters of the presented model is explored and the significance is explained. View Full-Text
Keywords: autonomation policy; smart production system; inventory; remanufacturing; marketing autonomation policy; smart production system; inventory; remanufacturing; marketing
Show Figures

Figure 1

MDPI and ACS Style

Sett, B.K.; Dey, B.K.; Sarkar, B. Autonomated Inspection Policy for Smart Factory—An Improved Approach. Mathematics 2020, 8, 1815.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop