Sustainable design of on-demand supply chain network for additive manufacturing

Chowdhury, Sudipta; Shahvari, Omid; Marufuzzaman, Mohammad; Francis, Jack; Bian, Linkan

doi:10.1080/24725854.2018.1532134

Cited by 21 publications

(11 citation statements)

References 30 publications

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“…This can increase SC throughput (Smith and Kerbache 2017). However, the increased flexibility and demand variability of distributed AM networks causes additional complexity for SC planning (Chowdhury et al 2019). Process integration and SC simplification can however reduce administrative efforts such as material requirements planning (Do 2017).…”

Section: Logisticsmentioning

confidence: 99%

“…Various articles mention that geometric complexity is no longer an obstacle in the AM process which allows new design approaches (Cohen 2014;Ford and Despeisse 2016;Gress and Kalafsky 2015;Grzesiak, Becker, and Verl 2011;Mothes 2015;Neugebauer et al 2011;Rehnberg and Ponte 2018;Simons 2018;Sirichakwal and Conner 2016;Steenhuis and Pretorius 2015;Chan et al 2018;Chowdhury et al 2019;Colosimo et al 2018). This includes complex internal structures (Deschamps et al 2017;Neugebauer et al 2011;Petrovic et al 2011;Zeltmann et al 2016;Zanoni et al 2019).…”

Section: Product Designmentioning

confidence: 99%

See 1 more Smart Citation

Additive manufacturing and supply chains – a systematic review

Kunovjanek

Knofius

Reiner

2020

Production Planning & Control

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Section: Logisticsmentioning

confidence: 99%

Section: Product Designmentioning

confidence: 99%

Additive manufacturing and supply chains – a systematic review

Kunovjanek

Knofius

Reiner

2020

Production Planning & Control

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“…Supply chain refers to the chain structure or network related to the production and distribution of raw material suppliers, producers, wholesalers, retailers, and end users [ 6 ]. The relevant processes of supply chain include procurement, production, value-added, distribution, information exchange, and exchange between different business entities, which has a balanced effect [ 7 ]. An enterprise is a node, and there is an exchange of interests between nodes and node enterprises.…”

Section: Introductionmentioning

confidence: 99%

Research on Intelligent Solution of Service Industry Supply Chain Network Optimization Based on Genetic Algorithm

Zhou

Guo

2021

Journal of Healthcare Engineering

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With the advent of the era of big data (BD), people’’s living standards and lifestyle have been greatly changed, and people’s requirements for the service level of the service industry are becoming higher and higher. The personalized needs of customers and private customization have become the hot issues of current research. The service industry is the core enterprise of the service industry. Optimizing the service industry supply network and reasonably allocating the tasks are the focus of the research at home and abroad. Under the background of BD, this paper takes the optimization of service industry supply network as the research object and studies the task allocation optimization of service industry supply network based on the analysis of customers’ personalized demand and user behavior. This paper optimizes the supply chain network of service industry based on genetic algorithm (GA), designs genetic operator, effectively avoids the premature of the algorithm, and improves the operation efficiency of the algorithm. The experimental results show that when m = 8 and n = 40, the average running time of the improved GA is 54.1 s. The network optimization running time of the algorithm used in this paper is very fast, and the stability is also higher.

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“…Health and economic considerations for the disposal of environment polluting materials, such as solid wastes, has attracted growing research attention, especially during recent years ( Chowdhury et al, 2019 , Rani et al, 2020 ). Considering the undeniably destructive consequences of applying improper waste collection and disposal systems in both rural and urban area, this is definitely an inevitable part of public healthcare and prevention that must be acknowledged before treatment strategies are pursued ( Darmian et al, 2020 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Medical waste management during coronavirus disease 2019 (COVID-19) outbreak: A mathematical programming model

Govindan

Nasr

Mostafazadeh

et al. 2021

Computers & Industrial Engineering

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Municipal solid waste (MSW) directly impacts community health and environmental degradation; therefore, the management of MSW is crucial. Medical waste is a specific type of MSW which is generally divided into two categories: infectious and non-infectious. Wastes generated by coronavirus disease 2019 (COVID-19) are classified among infectious medical wastes; moreover, these wastes are hazardous because they threaten the environment and living organisms if they are not appropriately managed. This paper develops a bi-objective mixed-integer linear programming model for medical waste management during the COVID-19 outbreak. The proposed model minimizes the total costs and risks, simultaneously, of the population’s exposure to pollution. This paper considers some realistic assumptions for the first time, including location-routing problem, time window-based green vehicle routing problem, vehicles scheduling, vehicles failure, split delivery, population risk, and load-dependent fuel consumption to manage both infectious and non-infectious medical waste. We apply a fuzzy goal programming approach for solving the proposed bi-objective model, and the efficiency of the proposed model and solution approach is assessed using data related to 13 nodes of medical waste production in a location west of Tehran.

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Sustainable design of on-demand supply chain network for additive manufacturing

Cited by 21 publications

References 30 publications

Additive manufacturing and supply chains – a systematic review

Additive manufacturing and supply chains – a systematic review

Research on Intelligent Solution of Service Industry Supply Chain Network Optimization Based on Genetic Algorithm

Medical waste management during coronavirus disease 2019 (COVID-19) outbreak: A mathematical programming model

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