Supply planning model for remanufacturing system based on multi-agent technology

Shen, Chenglin; Zhang, Xinxin

doi:10.1109/ical.2008.4636175

Cited by 3 publications

(2 citation statements)

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“…With regard to multi-agent modelling, Chenglin and Xinxin (2008) propose a multi-agent model to solve the supply planning problem by considering three different agents: manufacturing agent (MA), supplier agent (SA) and collector agent (CA). A mathematical model for each of the agents is presented, with the aim to minimise the operating cost and ultimately, minimise the total operating cost of the whole chain.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance evaluation of reverse logistics enterprise – an agent-based simulation approach

Pandian

Abdul‐Kader

2017

International Journal of Sustainable Engineering

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Reverse logistics (RL) has been applied in many industries and sectors since its conception. Unlike forward logistics, retracing consumer goods from the point of consumption to the point of inception is not a wellstudied process. It involves many uncertainties such as time, quality and quantity of returns. The returned products can be remanufactured, have parts harvested, or be disposed safely. It is important to implement these activities in a cost-effective manner. The aim of this research is to measure the performance of the RL enterprise with the help of an agent-based simulation model. The major entities in the RL network are considered as Agents that can act independently. There are several different agents: collector agent, sorting-cum-reuse agent, remanufacturing agent, recycler agent, supplier agent and distributor agent. The individual performances of the agents are measured and recommendations are given to improve their performance, leading to the enhancement of the total performance of the RL enterprise. The approach is applied to a case study involving cell phone remanufacturing.

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Section: Literature Reviewmentioning

confidence: 99%

Performance evaluation of reverse logistics enterprise – an agent-based simulation approach

Pandian

Abdul‐Kader

2017

International Journal of Sustainable Engineering

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“…La mayoría de los trabajos consultados, coinciden en definir la remanufacturación como el proceso de conversión de productos usados en productos cuya calidad es tan elevada como los productos nuevos (Ahiska et al, 2013;Chenglin et al, 2008;.…”

Section: Costes Específicos De Remanufacturaciónunclassified

Marco de Referencia para el Desarrollo Integrado de Modelos de Procesos y Matemáticos de Ayuda a la Toma de Decisiones en un Contexto de Logística Inversa

Pellicer¹

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The negative impact of human beings on the environment, the resources depletion and the social inequalities, are key aspects that have recently driven awareness of the importance of business sustainability. One way to achieve a change in the business model towards more sustainable ones is to transform the traditional linear business models to more circular ones, prioritizing the use of resources and reducing the consumption of raw materials. In fact, one of the seventeen Sustainable Development Goals, established in the United Nations 2030 agenda, refers to responsible production and consumption, including, as one of its goals, "considerably reduce the generation of waste through prevention, reduction, recycling and reuse activities". In this context of expanding the sustainable development and the circular economy concepts, recovered product's management has made Reverse Logistics (RL) a key competence of modern Supply Chains (SC).Another reason why RL is a major concern for companies is the returns of purchased products and the high reverse flow generated, due to the exponential e-commerce increase and its permissive return policy. Because of this vertiginous growth of RL operations, the companies must update the traditional logistics processes, integrating the Reverse Logistics Process (RLP) into them, which allows controlling the entire life cycle of the product.However, RL management is not an easy task, mainly because reverse flows are less predictable and more variable than direct ones. In this context, many companies have begun to work hard to standardize and formalize their RLP, establishing a set of rules, procedures and communications, which facilitate the understanding of the process for all interested stakeholders and help them to know how to act at any time. Having a standardized and formalized RLP enables better understanding and management of returned or recovered products and a more efficient RL, which can in turn provide a competitive advantage to the company.Another vital aspect to achieve greater efficiency and profitability of the RLP is to facilitate decision making in this process. The identification, study, description and modeling of decisions will help managers or decision-makers to have an integrated vision of them and to better understand the aspects to be considered in such decisions and their ABSTRACT 8 impact. In fact, agile and accurate decision making will increase efficiency, reducing costs, improving customer service and increasing company profits.In this sense, among all the decisions related to the RLP, the disposition decision (DD) can be highlighted as the most decisive, since it must be unique for each product, it determines the rest of the decisions, it is influenced by high uncertainty and affects the degree of sustainability of the company, it is conditioned by multiple factors and generally requires agility and speed to respond to the costumer.Precisely, the importance of RLP and the complexity of DD in the context described, justify the development of tools as an aid t...

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Manufacturing Shop Floor Agility Using Multi-agent Technology

Floroian

Ryvkin

Moldoveanu

et al. 2009

IFAC Proceedings Volumes

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Supply planning model for remanufacturing system based on multi-agent technology

Cited by 3 publications

References 2 publications

Performance evaluation of reverse logistics enterprise – an agent-based simulation approach

Performance evaluation of reverse logistics enterprise – an agent-based simulation approach

Marco de Referencia para el Desarrollo Integrado de Modelos de Procesos y Matemáticos de Ayuda a la Toma de Decisiones en un Contexto de Logística Inversa

Manufacturing Shop Floor Agility Using Multi-agent Technology

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