Solving a multi-objective distributed scheduling problem for building material equipment group enterprises by measuring quality indicator with a product gene evaluation approach

Xu, Wenxiang; Wu, Rui; Wang, Lei; Zhao, Xiao; Li, Xixing

doi:10.1016/j.cie.2022.108142

Cited by 5 publications

(2 citation statements)

References 46 publications

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“…However, it is difficult for designers to accurately understand the quality requirements of different product users, which can easily lead to quality defects [26]. Xu et al constructed a multi-objective scheduling model by considering the attributes of various manufacturing resources that determine product quality [27]. Zhang et al developed a collaborative network model to meet the high-quality service requirements of complex manufacturing tasks [28].…”

Section: Literature Reviewmentioning

confidence: 99%

A Multi-Objective Site Selection Model Considering Service Utility and Capability Matching in Outsourcing Collaboration Mode

Tang,

Shu,

2024

IEEE Access

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With the development of advanced manufacturing models, collaborative manufacturing breaks down barriers to inter-enterprise and promotes the establishment of closer relationships between collaborative enterprises to facilitate outsourcing collaboration production in a more efficient way. Manufacturing enterprises can rely on the collaborative manufacturing platform for dynamic configuration based on the off-site manufacturing environment to provide customersatisfied products and services with customization, low cost and short delivery time. In the process of dynamic allocation of manufacturing resources，enterprises face challenges such as difficulty in controlling the quality of product, uncertain revenue and waste of idle equipments. In order to achieve sustainable dynamic site selection, the paper proposes a multiobjective site selection model that considers outsourcing collaboration manufacturing capability matching and enterprise profit maximization. The paper considers the outsourcing collaboration manufacturing capability of candidate sites and constructs a collaboration manufacturing capability matching framework based on the fuzzy quality function deployment (QFD). Then, the paper constructs the enterprise profit function by transforming the service utility into customer selection behavior through Logit function from multiple perspectives such as market demands, enterprise capacity and idle equipments. Finally, the SPEA2-MOPSO algorithm are proposed to solve the multi-objective site selection model and performs well in performance tests. The validity and feasibility of the method is verified in conjunction with an example study. This method can effectively help collaborative manufacturing enterprises to show the synergistic effect of "products and services" in the decision-making process of site selection, and realize the two-way satisfaction of enterprise profit and customer service.

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Section: Literature Reviewmentioning

confidence: 99%

A Multi-Objective Site Selection Model Considering Service Utility and Capability Matching in Outsourcing Collaboration Mode

Tang,

Shu,

2024

IEEE Access

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“…Three years later, Di Biccari et al [9] reviewed BIM and building performance simulation (BPS) integration and interoperability, exploring the scripting to automate the information transfer between BIM and BPS environments, the model view definition (MVD) and the industry foundation classes (IFCs) schema extension approach. Xu et al [10] applied a fuzzy analytic hierarchy process (FAHP), a hybrid genetic algorithm and discrete particle swarm optimization (H-GA-DPSO) based on a multi-level encoding method. Yilmaz et al [11] developed a BIM capability assessment reference model (BIM-CAREM) and demonstrated its usability through multiple explanatory case studies.…”

Section: Introductionmentioning

confidence: 99%

A Computational Framework for Enhancing Industrial Operations and Electric Network Management: A Case Study

Pedroso,

Silva,

Campilho

et al. 2024

Technologies

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Automotive industries require constant technological development and the capacity to adapt to market needs. Hence, component suppliers must be able to adapt to persistent trend changes and technical improvements, acting in response to customers’ expectations and developing their manufacturing methods to be as flexible as possible. Concepts such as layout flexibility, management of industrial facilities, and building information modeling (BIM) are becoming ever more addressed within the automotive industry in order to envision and select the necessary information exchanges. Given this question and based on the gap in the literature regarding this subject, this work proposes a solution, developing a novel tool that allows the monitoring and assignment of newer/relocated equipment to the switchboards within a given industrial plant. The solution intends to increase the flexibility of production lines through the assessment, analysis, improvement, and reorganization of the electrical load distribution to develop projects accurately implying layout changes. The tool is validated with an automotive manufacturer. With the implementation of this open-source tool, a detailed electrical flow management system is accomplished, and it has proven successful and essential in raising levels of organizational flexibility. This has guaranteed the company’s competitiveness with effective integrated administration methods and tools, such as a much easier study upon inserting new/relocated equipment without production line breaks.

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Logic-based Benders decomposition for order acceptance and scheduling in distributed manufacturing

Chen,

Ma,

et al. 2023

Advanced Engineering Informatics

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Solving a multi-objective distributed scheduling problem for building material equipment group enterprises by measuring quality indicator with a product gene evaluation approach

Cited by 5 publications

References 46 publications

A Multi-Objective Site Selection Model Considering Service Utility and Capability Matching in Outsourcing Collaboration Mode

A Multi-Objective Site Selection Model Considering Service Utility and Capability Matching in Outsourcing Collaboration Mode

A Computational Framework for Enhancing Industrial Operations and Electric Network Management: A Case Study

Logic-based Benders decomposition for order acceptance and scheduling in distributed manufacturing

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