Supply–demand hub in industrial clusters: a stochastic approach

Kayvanfar, Vahid; Husseini, S. M. Moattar; Karimi, Behrooz; Sajadieh, Mohsen S.

doi:10.1080/0305215x.2017.1406930

Cited by 6 publications

(1 citation statement)

References 42 publications

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“…Liu and Ma [12] put forward a kind of approach of calculating that each matching solves the two-sided matching problem based on the uncertain preference ordinal to the preference distance and solved in the branch-bound algorithm. Kayvanfar et al [13] established a quantitative model for supply chain management and integrated circuits.…”

Section: Introductionmentioning

confidence: 99%

Decision-Making Approach of Two-Sided Matching of Supply and Demand of Logistics Service Based on the Uncertain Preference Ordinal

Wang

Dai

et al. 2020

Mathematical Problems in Engineering

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Aiming at the problem of matching logistics service supply and demand, this paper proposes a two-sided matching decision model of logistics service supply and demand based on the uncertain preference ordinal. In this model, the uncertain preference ordinal information is first expressed by the interval numbers of the logistics service supply and demand, and it is converted into the satisfaction degree of supply and demand matching uncertainty expressed by the interval number. Then, a multiobjective optimal matching model is constructed based on the largest overall satisfaction of the logistics service supply and demand side and the smallest satisfaction variance of the supply- and demand-side individual, and the multiobjective solution algorithm is designed based on nondominated sorting genetic algorithm-III (NSGA-III). Interval numbers are used to sort the matching results to obtain the approximately optimal two-sided matching scheme. Finally, this paper verifies the correctness of the model and validity of the algorithm.

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Section: Introductionmentioning

confidence: 99%