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.
Keywords: Assembled product planning, environmentally friendly, investment management, cost minimization
@article{RO_2022__56_4_2801_0,
author = {Dey, Bikash Koli and Park, Jeryang and Seok, Hyesung},
title = {Carbon-emission and waste reduction of a manufacturing-remanufacturing system using green technology and autonomated inspection},
journal = {RAIRO. Operations Research},
pages = {2801--2831},
year = {2022},
publisher = {EDP-Sciences},
volume = {56},
number = {4},
doi = {10.1051/ro/2022138},
mrnumber = {4470418},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2022138/}
}
TY - JOUR AU - Dey, Bikash Koli AU - Park, Jeryang AU - Seok, Hyesung TI - Carbon-emission and waste reduction of a manufacturing-remanufacturing system using green technology and autonomated inspection JO - RAIRO. Operations Research PY - 2022 SP - 2801 EP - 2831 VL - 56 IS - 4 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2022138/ DO - 10.1051/ro/2022138 LA - en ID - RO_2022__56_4_2801_0 ER -
%0 Journal Article %A Dey, Bikash Koli %A Park, Jeryang %A Seok, Hyesung %T Carbon-emission and waste reduction of a manufacturing-remanufacturing system using green technology and autonomated inspection %J RAIRO. Operations Research %D 2022 %P 2801-2831 %V 56 %N 4 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2022138/ %R 10.1051/ro/2022138 %G en %F RO_2022__56_4_2801_0
Dey, Bikash Koli; Park, Jeryang; Seok, Hyesung. Carbon-emission and waste reduction of a manufacturing-remanufacturing system using green technology and autonomated inspection. RAIRO. Operations Research, Tome 56 (2022) no. 4, pp. 2801-2831. doi: 10.1051/ro/2022138
[1] , and , Leveraging optimized and cleaner production through industry 4.0. Sustainable Prod. Consum. 26 (2021) 859–871. | DOI
[2] , and , Effects of carbon emission reduction on supply chain coordination with vendor-managed deteriorating product inventory. Int. J. Prod. Econ. 208 (2019) 83–99. | DOI
[3] , Economic production quantity with rework process at a single-stage manufacturing system with planned backorders. Comput. Ind. Eng. 57 (2009) 1105–1113. | DOI
[4] and , A production-inventory model for a two-echelon supply chain when demand is dependent on sales team’s initiatives. Int. J. Prod. Econ. 155 (2014) 249–258. | DOI
[5] , and , Responsible production policies with substitution and carbon emissions trading. J. Cleaner Prod. 134 (2016) 642–651. | DOI
[6] and , Effect of variable carbon emission in a multi-objective transportation--facility location problem under neutrosophic environment. Comput. Ind. Eng. 132 (2019) 311–324. | DOI
[7] , , and , An integrated inventory model involving discrete setup cost reduction, variable safety factor, selling price dependent demand, and investment. RAIRO: Oper. Res. 53 (2019) 39–57. | MR | DOI
[8] , and , Involvement of controllable lead time and variable demand for a smart manufacturing system under a supply chain management. Expert Syst. App. 184 (2021) 115464. | DOI
[9] , , and , Autonomation policy to control work-in-process inventory in a smart production system. Int. J. Prod. Res. 59 (2021) 1258–1280. | DOI
[10] , and , Cost-effective smart autonomation policy for a hybrid manufacturing-remanufacturing. Comput. Ind. Eng. 162 (2021) 107758. | DOI
[11] and , An imperfect production inventory model with setup cost reduction and carbon emission for an integrated supply chain. Uncertain Supply Chain Manage. 6 (2018) 271–286. | DOI
[12] , , and , Carbon mechanism on sustainable multi-objective solid transportation problem for waste management in pythagorean hesitant fuzzy environment. Complex Intell. Syst. (2022) 1–29. DOI:. | DOI
[13] , and , Maintenance on leasing sales strategies for manufacturing/remanufacturing system with increasing failure rate and carbon emission. Int. J. Prod. Res. 58 (2020) 6616–6637. | DOI
[14] , , and , An integrated inventory model involving manufacturing setup cost reduction in compound poisson process. Int. J. Prod. Res. 49 (2011) 1219–1228. | DOI
[15] , and , Optimal manufacturing batch size with rework process at a single-stage production system. Comput. Ind. Eng. 47 (2004) 77–89. | DOI
[16] , and , Semantic segmentation based stereo visual servoing of nonholonomic mobile robot in intelligent manufacturing environment. Expert Syst. App. 190 (2022) 116203. | DOI
[17] , , and , Supplier evaluation and selection for sustainable supply chain management under uncertainty conditions. Int. J. Sustainable Eng. 11 (2018) 382–396. | DOI
[18] and , A pull system inventory model with carbon tax policies and imperfect quality items. Appl. Math. Modell. 50 (2017) 450–462. | MR | DOI
[19] and , Disruption management in a constrained multi-product imperfect production system. J. Manuf. Syst. 56 (2020) 227–240. | DOI
[20] , and , Intuitionistic fuzzy multi-stage multi-objective fixed-charge solid transportation problem in a green supply chain. Int. J. Mach. Learning Cybern. 12 (2021) 699–717. | DOI
[21] , and , A sustainable production-inventory model for a controllable carbon emissions rate under shortages. J. Cleaner Prod. 256 (2020) 120268. | DOI
[22] and , Multi-objective sustainable opened-and closed-loop supply chain under mixed uncertainty during covid-19 pandemic situation. Comput. Ind. Eng. 159 (2021) 107453. | DOI
[23] and , The Kyoto Protocol: International Climate Policy for the 21st Century. Springer Science & Business Media (1999). | DOI
[24] , and , A mathematical model on EPQ for stochastic demand in an imperfect production system. J. Manuf. Syst. 32 (2013) 260–270. | DOI
[25] , , , and , A green inventory model with the effect of carbon taxation. Ann. Oper. Res. 309 (2022) 233–248. | MR | DOI
[26] , and , Analysis of inventory control model with shortage under time-dependent demand and time-varying holding cost including stochastic deterioration. Ann. Oper. Res. 260 (2018) 437–460. | MR | DOI
[27] , and , An integrated producer–buyer relationship in the environment of EMQ and JIT production systems. Int. J. Prod. Res. 50 (2012) 5597–5614. | DOI
[28] , and , Designing a new model of distributed quality control for sub-assemble products based on the intelligent web information system. J. Intell. Manuf. 21 (2010) 511–523. | DOI
[29] , An EOQ model for salesmen’s initiatives, stock and price sensitive demand of similar products – a dynamical system. Appl. Math. Comput. 218 (2011) 3277–3288. | MR
[30] , A collaborating inventory model in a supply chain. Econ. Modell. 29 (2012) 2016–2023. | DOI
[31] , Price competition between green and non green products under corporate social responsible firm. J. Retail. Consum. Serv. 55 (2020) 102118. | DOI
[32] , A structural mathematical model on two echelon supply chain system. Ann. Oper. Res. (2021) 1–29. DOI: . | DOI | MR
[33] , Optimum buffer stock during preventive maintenance in an imperfect production system. Math. Methods Appl. Sci. (2022). DOI: . | DOI | MR
[34] and , Product inspection policy for an imperfect production system with inspection errors and warranty cost. Eur. J. Oper. Res. 248 (2016) 263–271. | DOI
[35] , , and , An economic production quantity model with random defective rate, rework process and backorders for a single stage production system. J. Manuf. Syst. 33 (2014) 423–435. | DOI
[36] , , and , A single-stage cleaner production system with random defective rate and remanufacturing. Comput. Ind. Eng. 150 (2020) 106861. | DOI
[37] , and , A sustainable production-inventory model with imperfect quality under preservation technology and quality improvement investment, J. Cleaner Prod. 310 (2021) 127332. | DOI
[38] , and , Autonomated inspection policy for smart factory – an improved approach. Mathematics 8 (2020) 1815. | DOI
[39] , and , Remanufacturing in a competitive market: a closed-loop supply chain in a stackelberg game framework. Expert Syst. App. 161 (2020) 113655. | DOI
[40] and , Optimal batch quantity in a cleaner multi-stage lean production system with random defective rate. J. Cleaner Prod. 139 (2016) 922–934. | DOI
[41] , , and , A sustainable development framework for a cleaner multi-item multi-stage textile production system with a process improvement initiative. J. Cleaner Prod. 246 (2020) 119055. | DOI
[42] , , , and , The effect of human errors on an integrated stochastic supply chain model with setup cost reduction and backorder price discount. Int. J. Prod. Econ. 226 (2020) 107643. | DOI
[43] , and , Joint decisions on inventory replenishment and emission reduction investment under different emission regulations. Int. J. Prod. Res. 52 (2014) 243–269. | DOI
[44] and , Recovery-channel selection in a hybrid manufacturing–remanufacturing production model with rfid and product quality. Int. J. Prod. Econ. 219 (2020) 360–374. | DOI
[45] , , , , and , Ramification of remanufacturing in a sustainable three-echelon closed-loop supply chain management for returnable products. J. Cleaner Prod. 290 (2021) 125609. | DOI
[46] and , Carbon emission reduction and product collection decisions in the closed-loop supply chain with cap-and-trade regulation. Int. J. Prod. Res. 59 (2021) 4359–4383. | DOI
[47] , and , Energy constraints, green technological progress and business profit ratios: evidence from big data of chinese enterprises. Int. J. Prod. Res. 56 (2018) 2963–2974. | DOI
[48] , , and , Reduction of waste and carbon emission through the selection of items with cross-price elasticity of demand to form a sustainable supply chain with preservation technology. J. Cleaner Prod. 297 (2021) 126298. | DOI
[49] , and , Pricing and carbon emission reduction decisions in supply chains with vertical and horizontal cooperation. Int. J. Prod. Econ. 191 (2017) 286–297. | DOI
[50] , , and , Cleaner energy for cleaner production: modelling, simulation, optimisation and waste management. J. Cleaner Prod. 111 (2016) 1–16. | DOI
[51] , , and , Joint production planning, pricing and retailer selection with emission control based on stackelberg game and nested genetic algorithm. Expert Syst. App. 161 (2020) 113733. | DOI
[52] , and , Hybrid manufacturing/remanufacturing lot-sizing and supplier selection with returns, under carbon emission constraint. Int. J. Prod. Res. 56 (2018) 1233–1248. | DOI
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