Low-Carbon Production Control and Resource Allocation Optimization

Zhou, M. X.; Li, X.

doi:10.2507/ijsimm21-2-co9

Cited by 5 publications

(5 citation statements)

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“…Navigating technological advancements, the evidence underscores the importance of conscientious choices in design for a greener digital ecosystem. [62], [26], [68], [110], [72], [31], [76], [78], [79], [38], [84], [85], [86], [3], [89], [44], [93], [47], [49], [50], [101] Data Architecture 10…”

Section: Number Of Researchmentioning

confidence: 99%

“…[108], [23], [63], [65], [25], [112], [67], [26], [68], [71], [72], [75], [34], [35], [78], [5], [40], [84], [43], [93], [96], [47], [48], [50] Agriculture, Forestry, and Other Land Use (AFOLU) 8 [61], [20], [31], [33], [114], [82], [44], [98] Waste 4 [76], [36], [86], [99] Others 2 [42], [51] This article has been accepted for publication in IEEE Access. This is the author's version which has not been fully edited and content may change prior to final publication.…”

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confidence: 99%

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Greenhouse Gas Emission Reduction Architecture in Computer Science: A Systematic Review

Somantri,

Surendro

2024

IEEE Access

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Computer Science Architecture (CSA), encompassing data, application, technology, and business architecture, is a vital tool for addressing climate change challenges. It aims to reduce greenhouse gas emissions from sectors such as stationary energy, transportation, industry, product use, waste, and land use. CSA principles extend to advanced technologies like artificial intelligence (AI), the Internet of Things (IoT), Machine Learning (ML), data centers, blockchain, multi-agent systems, sensors, and smart grids. This review explores CSA's role in mitigating greenhouse gas emissions for a sustainable environment. It analyzes implications, indicators, and methodologies for data, application, technology, and business architecture, highlighting their direct impact on creating an environmentally friendly technological landscape. The study also delves into emerging trends and suggestions for future research, contributing to the discourse on leveraging technology for a greener future.INDEX TERMS Greenhouse gas emissions, computer science architecture, sustainable environment, review.

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Section: Number Of Researchmentioning

confidence: 99%

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confidence: 99%

Greenhouse Gas Emission Reduction Architecture in Computer Science: A Systematic Review

Somantri,

Surendro

2024

IEEE Access

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“…In the second stage of the game, we compute the second partial derivative of 1 2 2), we then calculate the first partial derivative of 1 2 π with respect to p and set it equal to zero, that is…”

Section: Recovery Modementioning

confidence: 99%

“…The Five-Sphere Integrated Plan emphasises the importance of ecological progress in urban and rural areas, as well as economic, political, cultural, and social development. China's Guangdong Province practices this spirit of urban and rural development and has become a model province for low-carbon ecological urban planning [1][2][3]. With the initiation of China's significant decision to robustly develop remanufacturing, as outlined in 'Made in China 2025', enterprises are urged to focus not only on the production and sales within the forward supply chain, but also on the recycling and remanufacturing aspects of the reverse supply chain.…”

Section: Introductionmentioning

confidence: 99%

Recycling Strategy of Green Closed-Loop Supply Chain Under Urban and Rural Low-Carbon Planning

LI,

WANG

2023

Ecological Chemistry and Engineering S

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The low-carbon ecological city aims to harmonise sustainable urban development with low-emission planning approaches. Emissions from business production processes are central to low-carbon planning. This paper explores three closed-loop supply chain recycling models - manufacturer, retailer, and third-party -considering carbon trading and emission reduction technology investment. Respective Stackelberg game models are developed incorporating carbon emission reduction costs, recycling costs, carbon trading price, emission intensity, and recycling price. The influence of these variables on carbon emission reduction and profit is examined through numerical analysis. Results indicate the government’s free carbon quota does not impact per-unit carbon reduction or manufacturer profit, nor optimal recycling mode selection. Under specific remanufacturing emission intensity and production cost saving conditions, carbon quota trading can substantially incentivise manufacturers to invest in emission reduction and recycling. With carbon trading and emission reduction technology investment, manufacturer recycling optimises economic and environmental benefits when remanufactured products provide high production cost savings. This fosters sustainable development supporting low-carbon planning.

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“…As an energy-intensive field, manufacturing consumes nearly one third of the world's energy [25,26]. The study of energy saving shop scheduling is of great significance to the sustainable development of the industry [27,28]. Therefore, the questions of how to reduce the energy consumption of the workshop as much as possible and realize reasonable scheduling of processing equipment and AGVs under the condition of ensuring normal operation of the workshop and minimizing production time have become research hotspots.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling an Optimal Environmentally Friendly Energy-Saving Flexible Workshop

Zhang,

Wei,

Gao

2023

Applied Sciences

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From the perspective of energy efficiency and environmental sustainability, the scheduling problem in a flexible workshop with the utilization of automated guided vehicles (AGVs) was investigated for material transportation. Addressing the dual-constrained integrated scheduling challenge involving machining machines and AGVs, a scheduling optimization model was established with makespan, workshop energy consumption, and processing quality as the optimization objectives. To effectively solve this model, an enhanced whale optimization algorithm (IWOA) was proposed. Specifically, nonlinear convergence factors, adaptive inertia weights, and improved helix positions were introduced into the standard whale optimization algorithm to update the model. Furthermore, a loss function was constructed based on fuzzy membership theory to obtain the optimal compromise solution of the multi-objective model. The research results indicate that: (1) The IWOA obtained the optimal solutions on benchmark instances MK01, MK02, MK04, MK07, and MK08; (2) The IWOA outperformed the WOA(1), WOA(2), WOA-LEDE, and NSGA-II algorithms in the two instances provided in this paper, demonstrating strong robustness of the model; (3) Although the multi-objective model constructed in this paper could not surpass the single-objective optimal solution in individual objectives, it achieved compensation in other objectives, effectively balancing the trade-offs among the makespan, workshop energy consumption, and processing quality of the three objectives. This research offers an effective practical approach to address green flexible workshop scheduling with AGV transportation.

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Low-Carbon Production Control and Resource Allocation Optimization

Cited by 5 publications

References 0 publications

Greenhouse Gas Emission Reduction Architecture in Computer Science: A Systematic Review

Greenhouse Gas Emission Reduction Architecture in Computer Science: A Systematic Review

Recycling Strategy of Green Closed-Loop Supply Chain Under Urban and Rural Low-Carbon Planning

Modeling an Optimal Environmentally Friendly Energy-Saving Flexible Workshop

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