Optimized closed-loop supply chain configuration selection for sustainable product designs

Metta, Haritha; Badurdeen, Fazleena

doi:10.1109/case.2011.6042416

Cited by 6 publications

(3 citation statements)

References 21 publications

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“…Gomes Salema et al [6] 2006 Single Multi CPLEX Small -Design and planning 8. El-Sayed et al [17] 2010 [15], [6], [22], [29], [30], [48], [49], [50], [14], [31], [32], [34]). A few researchers try to develop exact algorithms such as branch and bound, interior point method, and analytical approaches in order to cope with design and planning a CLSC ( [16], [35], [12], [36], and [8]).…”

Section: Literature Reviewmentioning

confidence: 99%

A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks

Soleimani

Govindan

2015

Applied Mathematical Modelling

242

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Today, tracking the growing interest in closed-loop supply chain shown by both practitioners and academia is easily possible. There are many factors, which transform closed-loop supply chain issues into a unique and vital subject in supply chain management, such as environmental legislation, customer awareness, and the economical motivations of the organizations. However, designing and planning a closed-loop supply chain is an NP-hard problem, which makes it difficult to achieve acceptable results in a reasonable time. In this paper, we try to cope with this problem by proposing a new and effective solution methodology. On the other hand, this research considers improving closed-loop supply chain network optimization processes through dealing with mathematical programming tools; developing a deterministic multi-product, multi-echelon, multi-period model; and finally presenting an appropriate methodology to solve various sizes of instances. Both design and planning decision variables (location and allocation) are considered in the proposed network. Besides, in order to have a reliable performance evaluation process, large-scale instances are regarded in computational analysis. Two popular metaheuristic algorithms are considered to develop a new elevated hybrid algorithm: The Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Analyzing the above-mentioned algorithms' strengths and weaknesses leads us to attempt to improve the GA using some aspects of PSO. Therefore, a new hybrid algorithm is proposed and a complete validation process is undertaken using CPLEX and MATLAB software. In small instances, the global optimum points of CPLEX for the proposed hybrid algorithm are compared to genetic algorithm, and particle swarm optimization. Then, in small, mid, and large-size instances, performances of the proposed meta-heuristics are analyzed and evaluated. Finally, a case study involving an Iranian hospital furniture manufacturer is used to evaluate the proposed solution approach. The results reveal the superiority of the proposed hybrid algorithm when compared to the GA and PSO.

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Section: Literature Reviewmentioning

confidence: 99%

A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks

Soleimani

Govindan

2015

Applied Mathematical Modelling

242

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“…Some researchers focus on the topic. Metta and Badurdeen [66] consider the environmental and societal impacts in product design and supply chain configuration. A mixed‐integer programming model is developed to maximise the closed‐loop supply chain's total profits and an optimal alternate product design on their corresponding supply chain configuration.…”

Section: Design For Supply Chainsmentioning

confidence: 99%

Design for mass customisation, design for manufacturing, and design for supply chain: A review of the literature

Hou

Gao

Chun

2021

IET Collab Intel Manufact

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This survey provides a review of the fundamental approaches to design for mass customisation (DFMC), design for manufacturing (DFM) and design for supply chains (DFSC). The key term here is design while mass customisation, manufacturing and supply chain are the contexts from which the respective design objectives are derived. While these three areas of design are closely related, they have different focusses, which is reflected in the broader range of approaches proposed in the literature. The authors look at the literature through the lens of the product, process, and supply chain optimisation, with a variety of objectives ranging from improving product quality and variety while reducing costs, minimising environmental impacts and optimising supplier manufacture cooperation. In addition to the reviews of the approaches to DFMC, DFM and DFSC, recommendations on their practical system implementations are provided. While the authors acknowledge that the richness of the literature of each of the three design areas warrants a dedicated literature review, the main purpose of this survey is to pursue an integrated view on the three design issues faced by modern manufacturers and provide them and other related practitioners with a summary of representative approaches in the literature. Although it was not intended to conduct an exhaustive literature review of the literature, researchers from academia may still find the work useful by looking at the interactions of the three design areas from the perspective of joint-decision making, which is the angle from which the literature is approached.

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“…56 in addition to highlighting the need to develop and apply predictive models capable of capturing the environmental impacts of products and processes. 69 Metta and Badurdeen 70 pointed out the importance of embedding product and processes design in supply chain design and defined hierarchical, multistage decision support models to evaluate alternative sustainable products design, taking into account the economic, environmental and social performance of associated supply chains. In a business as critical as fast fashion, leading companies 71 are mainly implementing traceability management systems, training and capacity building teams, and joint long-term planning programmes to improve SCM performance.…”

Section: Sm Approaches Over the Timementioning

confidence: 99%

The sustainable manufacturing concept, evolution and opportunities within Industry 4.0: A literature review

Sartal

Rivera

Mejias

et al. 2014

Advances in Mechanical Engineering

159

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Today’s society is becoming aware that a new economic model of production and consumption must take into account its environmental and social impact. Industries are under increasing pressure from stakeholders to be transparent in reporting the environmental and social impacts of their operations. In this context, sustainable manufacturing must minimize negative environmental impacts and consumption of energy and natural resources, while also being socially responsible and economically viable. That is why the sustainable manufacturing concept is gaining increasing attention both in the research community and in organizations, especially in the industrial sector. However, even today, there is a great diversity of interpretations and ideas associated with this term. Accordingly, this article first presents an overview of the main concepts related to sustainable manufacturing, and metrics to evaluate organizations’ sustainability performance, and then an outlook of current trends. Our work highlights the consistencies and inconsistencies in the research community related to the interpretations of sustainable manufacturing and Industry 4.0, as well as the lack of consensus about the true social impact of Industry 4.0. However, the positive ecological and economic impacts of sustainable manufacturing seem fairly widespread. In this way, sustainable manufacturing practices seem to be reinforced by initiatives within the fourth stage of industrialization – the so-called Industry 4.0 – which offers great opportunities for sustainable manufacturing, thanks to digital transformation.

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Optimized closed-loop supply chain configuration selection for sustainable product designs

Cited by 6 publications

References 21 publications

A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks

A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks

Design for mass customisation, design for manufacturing, and design for supply chain: A review of the literature

The sustainable manufacturing concept, evolution and opportunities within Industry 4.0: A literature review

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