The impact of lead-time uncertainty in product configuration

Song, Qinyu; Ni, Yaodong; Ralescu, Dan A.

doi:10.1080/00207543.2020.1715506

Cited by 10 publications

(3 citation statements)

References 62 publications

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“…Therefore, in view of the current development trend, scholars began to study mass customization production under uncertain market demand. Among them, Song et al [25] developed a product configuration model that fully considers the uncertainty of delivery time in mass customization. Wei et al [26] proposed a flexible design method for product families based on dynamic demand uncertainty analysis to improve the dynamic response ability of product families to market changes.…”

Section: Literature Reviewmentioning

confidence: 99%

Multiobjective Lot Sizing and Scheduling of Multiproduct Switching Production in the Process Industry Considering Uncertain Market Information Under Mass Customization

Tang

Wang

2022

IEEE Access

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With the gradual diversification of customer demand, to improve the rapid response ability of enterprises, this paper fully considers uncertain market information under the background of mass customization and establishes a new process industry multi-product switching production lot sizing and scheduling model with the goal of minimizing the maximum completion time and total switching cost. Fuzzy chance-constrained programming is used to explicitly incorporate market demand with uncertain quantities into the model. Starting from reality, this paper considers the switching cost of equipment when processing multiple varieties of products and skillfully integrates the conversion rate of materials during processing into the novel model, making the entire production system closer to the real state. It provides a new concept to consider cost reduction for actual workshop scheduling management. In addition, this paper proposes an improved multi-objective genetic particle swarm optimization (SMOPSO-IIs) algorithm to simulate and solve the model. The operation results show that the Pareto solution obtained by the SMOPSO-IIs algorithm is better overall. Finally, the model is solved by example simulation, and the operation results are analyzed along with a scheduling Gantt chart to verify its applicability and effectiveness. The model presented in this paper can be used to further shorten the gap between production theory and practical application and improve the current workshop scheduling management system of the process industry.INDEX TERMS Mass customization, process industry lot sizing and scheduling; uncertain market information; product switching

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Section: Literature Reviewmentioning

confidence: 99%

Multiobjective Lot Sizing and Scheduling of Multiproduct Switching Production in the Process Industry Considering Uncertain Market Information Under Mass Customization

Tang

Wang

2022

IEEE Access

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“…Uncertainty management has been applied widely in practical engineering, such as sensor data fusion, pattern recognition and so on [ 1 , 2 , 3 , 4 ]. The new technology helps the information obtained in and out of the system to be integrated to make correct judgments.…”

Section: Introductionmentioning

confidence: 99%

A New Reliability Coefficient Using Betting Commitment Evidence Distance in Dempster–Shafer Evidence Theory for Uncertain Information Fusion

Tang

Zhou

et al. 2023

Entropy

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Dempster–Shafer evidence theory is widely used to deal with uncertain information by evidence modeling and evidence reasoning. However, if there is a high contradiction between different pieces of evidence, the Dempster combination rule may give a fusion result that violates the intuitive result. Many methods have been proposed to solve conflict evidence fusion, and it is still an open issue. This paper proposes a new reliability coefficient using betting commitment evidence distance in Dempster–Shafer evidence theory for conflict and uncertain information fusion. The single belief function for belief assignment in the initial frame of discernment is defined. After evidence preprocessing with the proposed reliability coefficient and single belief function, the evidence fusion result can be calculated with the Dempster combination rule. To evaluate the effectiveness of the proposed uncertainty measure, a new method of uncertain information fusion based on the new evidence reliability coefficient is proposed. The experimental results on UCI machine learning data sets show the availability and effectiveness of the new reliability coefficient for uncertain information processing.

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“…When some nondeterministic factors show neither randomness nor fuzziness, for modeling human's belief degree in mathematics, uncertainty theory is initiated by Liu [23] and refined by Liu [24] that will be a useful tool. Uncertainty theory has developed in a variety of directions and dealt with subjective uncertainty (Ding [6], Ke et al [19], Yan et al [43] and Song et al [33].…”

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confidence: 99%

Pricing, carbon emission reduction and recycling decisions in a closed-loop supply chain under uncertain environment

Yan

Song

et al. 2023

JIMO

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<p style='text-indent:20px;'>This paper studies the pricing and recycling decision problems in a closed-loop supply chain (CLSC) containing a manufacturer, a downstream retailer, and a third-party recycling left. The manufacturer is subjected to the cap-and-trade regulation and determines the wholesale price of products and carbon emission reduction rate. The retailer determines its resale price to meet customer demands. The third-party recycling left determines the collection rate of recycling and remanufacturing used products. The new product demands, total carbon emissions, and recovery of these products are characterized as uncertain variables due to lack of historical data or insufficient data collected for research. By constructing three decentralized game models, we explore the equilibrium solutions under the corresponding decision-making situation and the corresponding analytical solutions. Finally, numerical experiments are performed to show the total profit of supply chain members for each structure and some special insights are drawn.</p>

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The impact of lead-time uncertainty in product configuration

Cited by 10 publications

References 62 publications

Multiobjective Lot Sizing and Scheduling of Multiproduct Switching Production in the Process Industry Considering Uncertain Market Information Under Mass Customization

Multiobjective Lot Sizing and Scheduling of Multiproduct Switching Production in the Process Industry Considering Uncertain Market Information Under Mass Customization

A New Reliability Coefficient Using Betting Commitment Evidence Distance in Dempster–Shafer Evidence Theory for Uncertain Information Fusion

Pricing, carbon emission reduction and recycling decisions in a closed-loop supply chain under uncertain environment

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