Multi-agent single-objective negotiation mechanism of personalized product supply chain based on personalized index

Yang, Changhui; Xu, Tingting; Yang, Ruixia; Li, Yinxia

doi:10.1177/1687814018795785

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…To solve the issues found here, the authors propose a multi-agent approach and suggest this as a fast, flexible, and efficient approach for dealing with negotiations in manufacturing supply chains. Yang et al 7 also apply a multi-agent approach with a focus on the problem of negotiating in supply chains providing personalized products. Supply chains of this nature are typically highly complex and changing over time.…”

Section: Intelligent Manufacturing/production Systems: Modeling Algomentioning

confidence: 99%

Intelligent manufacturing/production systems: Modeling, algorithms, and optimization

Nielsen

Banaszak²,

Bocewicz³

et al. 2018

Advances in Mechanical Engineering

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Section: Intelligent Manufacturing/production Systems: Modeling Algomentioning

confidence: 99%

Intelligent manufacturing/production systems: Modeling, algorithms, and optimization

Nielsen

Banaszak²,

Bocewicz³

et al. 2018

Advances in Mechanical Engineering

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“…While, there is significant research effort devoted to those obstacles met during the product lifecycle. Several fundamental studies pay more attention on hackling and modeling the mess of problems including where they come [24], [25]: an event-based production activity chain model was built to actively plan and monitor in the shop floor [26], how they can be managed and solved in the supply chain [27], [28] and what the problem solving cost is [29]. Camarillo et al [30] focused on the manufacturing problems solving and proposed a multi-agent system with integrated the 8D to define problem, PFMEA to analyze problem, CBR to reason and PLM to manage problem.…”

Section: Introductionmentioning

confidence: 99%

Manufacturing Knowledge Graph: A Connectivism to Answer Production Problems Query With Knowledge Reuse

Jiang

2019

IEEE Access

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Manufacturing knowledge (MK) is enjoying a ''new golden age'' in the academic domain, marked by vast reuse to support product-related production problems (PPs) solving decision making for manufacturing enterprises in the industry sector. However, the practice of MK reuse and research is fragmented and insufficient, which cannot be mature to provide a systemic solution for that a decision-maker has to consider the involving issues: how MK can be used earlier and rightly; what kind of practical problems can be solved? In order to answer those interconnecting issues, this paper firstly proposes a connectivism framework to clarify the compressive relationship of problem-to-problem, knowledge-to-knowledge and problem-to-knowledge with knowledge integration, knowledge matching, and problem-solving layers. Then, based on the framework, an ontology-based MK graph (MKG) is constructed with a unified MK-filter to collect and integrate multifactor and multilevel MK, and a graph-oriented meta-knowledge model (MKM) is proposed to represent the details between the knowledge entities (i.e., concept and instance), which also shows the contribution to knowledge reasoning. After that, driven by a structure temporal query (i.e., 5W2H), a semantics-based knowledge computation is developed to compute the intrinsic term similarity (IS) and relational term similarity (RS) between two knowledge entities in the MKG. Finally, a case study is taken to demonstrate the effectiveness and performance of the proposed methods. INDEX TERMS Production problems (PPs), manufacturing knowledge (MK), manufacturing knowledge graph (MKG). The associate editor coordinating the review of this manuscript and approving it for publication was Shih-Wei Lin. reuse percentage averages a 28% for manufacturing application [3].The Defense Acquisition University(2011) proposes that the acquisition, operation and support of product could account for 60-80% of the product life cycle cost [4]. These claims highlight that the marginal value of more MK reused by enterprises is the decrease in production cost of product lifecycle, and the increase in effective production time, efficiency and profit permitted by a smaller amount of production problem-solving time. However, from the angle of systematic view of PPs solving with MK, a lack of connective vision among problem solvers has limited the availability of industry-mature solutions. So, the question still needs to be answered: how to use MK, timely, in the product life cycle, to provide a more mature and accurate solution of decision-making for problems solving? While, previous researches have tried to identify the chance in exploring the knowledge reuse for

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Negotiation mechanism of carbon emission quota trading process

Yang

2023

Sustainable Production and Consumption

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Multi-agent single-objective negotiation mechanism of personalized product supply chain based on personalized index

Cited by 4 publications

References 29 publications

Intelligent manufacturing/production systems: Modeling, algorithms, and optimization

Intelligent manufacturing/production systems: Modeling, algorithms, and optimization

Manufacturing Knowledge Graph: A Connectivism to Answer Production Problems Query With Knowledge Reuse

Negotiation mechanism of carbon emission quota trading process

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