Cost-effective smart autonomation policy for a hybrid manufacturing-remanufacturing

Dey, Bikash Koli; Sarkar, Biswajit; Seok, Hyesung

doi:10.1016/j.cie.2021.107758

Cited by 29 publications

(16 citation statements)

References 47 publications

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“…The proposed model considers a smart production system with controlled carbon emission and uses a posynomial geometric programming approach to solve it. Advancing the smart and reliable production system by inter alia further introducing a holding cost for not only perfect but also insufficient items and a reworking expenditure as well as considering random defective rates during the manufacturing process (Dey et al [10]), the proposed study is not able to be solved by geometric programming in a posynomial manner and a signomial geometric programming approach can be used (Liu [23]).…”

Section: Discussionmentioning

confidence: 99%

“…Sarkar et al [27] introduced a cleaner manufacturing system that consists of one stage in which a random quota of defectiveness and reworking are considered. Dey et al [10] introduced an autonomation policy in a smart manner for a production system consisting of a single stage where hybrid production and remanufacturing is considered to reduce waste that is randomly produced within the system. Sarkar [26] developed a numerous-stage manufacturing system with numerous cycles and considers the management of insufficient products under a stochastic quota of defectiveness.…”

Section: Reliabilitymentioning

confidence: 99%

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Geometric programming solution of second degree difficulty for carbon ejection controlled reliable smart production system

2022

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Smart manufacturing systems should always aim to be fully sustainable while simultaneously being as reliable as possible which is difficult to reach. Furthermore, climate change especially by carbon emission ejection in the industry is a significant topic and carbon emission ejection should be controlled and reduced to save the environment. Contributing towards a greener environment in a positive manner is done by reducing the amount of insufficient items that are produced in a smart production system which also can be reached with a higher reliability in the system. Therefore, this study models a smart reliable production system with controlled carbon ejection. To solve the proposed smart production system in this study, a geometric programming approach with a degree of difficulty level two is used which results into optimum results that are quasi-closed. Furthermore, numerical experiments are conducted in order to validate the proposed model and prove that by using a higher degree geometric programming approach, an optimal solution is found. The numerical results do not only show optimal solutions but also that the smart production system with controlled carbon ejection is reliable.

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Section: Discussionmentioning

confidence: 99%

Section: Reliabilitymentioning

confidence: 99%

Geometric programming solution of second degree difficulty for carbon ejection controlled reliable smart production system

2022

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“…To estimate defective items in long-run manufacturing with integrated stock(IS) under backorders model is introduced by Dey et al [11]. In this model, the rate of backorder builds upon the diminished lead time.…”

Section: 3mentioning

confidence: 99%

Retailing and servicing strategies for an imperfect production with variable lead time and backorder under online-to-offline environment

Choi

Dey

Sarkar

2023

JIMO

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<p style='text-indent:20px;'>Online-to-offline (O2O) retailing strategy is one of the trending topics in the business industry. The current study focuses on an advanced retailing strategy for a single item for a retailer and a manufacturer. Reminding the revolution in the internet world, a dual-channel retailing system is developed in this current study. The retailer offers their item through online and offline mode, though the producer prefers only offline mode. Besides, manufacturer provide different services to their clients through the product's life cycle to keep the company's brand image. The product's demand depends on the selling price and its service for both channels (offline and online) to their customers. To upgrade the services, some investments are implied to decrease the lead time. In expansion, to increase the demand and optimize the system benefit, the manufacturer gives their customers different services (unpaid, partially paid, full paid). The supply chain's benefit is optimized beside the ideal esteem of the decision variables. {Application of different service strategies in O2O retailing are near about <inline-formula><tex-math id="M1">\begin{document}$ 71\% $\end{document}</tex-math></inline-formula> beneficial compared to traditional supply chain. Numerical experiment proved that full-paid services are near about <inline-formula><tex-math id="M2">\begin{document}$ 79\% $\end{document}</tex-math></inline-formula> beneficial compare to partially paid service; however, partially paid services are recommended for industrial benefit.} Different numerical examples, exceptional cases, and sensitivity analyses were performed to prove the model's applicability along with graphical representations.</p>

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“…In this current study, it was considered that different spare parts of an assembled product were generated in a single-stage manufacturing process, and remanufacturing was also performed within the same manufacturing cycle. Due to several spare parts, the amount of generation of defective items also increased (Dey et al [42]).…”

Section: 2mentioning

confidence: 99%

Carbon-emission and waste reduction of a manufacturing-remanufacturing system using green technology and autonomated inspection

2022

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Environmental-friendly technology helps to reduce waste and carbon emissions of an imperfect production system. In general, the defective products generated during the ``out-of-control'' state are treated as waste. The single-stage manufacturing-remanufacturing system effectively depletes such defective spare parts within the same cycle but causes a tremendous amount of carbon. In such a circumstance, green technology to reduce carbon emissions is highly recommended. Also, the autonomated inspection makes defective detection more reliable and is ultimately helpful for waste reduction. Hence, in this study, we optimize the production plan along with the investments for applying green technology and autonomated inspection in an assembled product manufacturing-remanufacturing system. The numerical result shows that the appropriate green technology decreases carbon emissions up to 2.81% and autonomated inspection reduces the waste up to 2.37%, along with a reduction of entire production cycle cost up to 18.26 %. In addition, the setup cost reduction is considered due to the characteristics of assembled product production.

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Cost-effective smart autonomation policy for a hybrid manufacturing-remanufacturing

Cited by 29 publications

References 47 publications

Geometric programming solution of second degree difficulty for carbon ejection controlled reliable smart production system

Geometric programming solution of second degree difficulty for carbon ejection controlled reliable smart production system

Retailing and servicing strategies for an imperfect production with variable lead time and backorder under online-to-offline environment

Carbon-emission and waste reduction of a manufacturing-remanufacturing system using green technology and autonomated inspection

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