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Integrated Optimization on Assortment Packing and Collaborative Shipping for Fashion Clothing

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  • Qianying Wang
  • Yiping Jiang
  • Yang Liu

Abstract

With the diversification of customer’s demand and the shortage of social resources, meeting diverse requirements of customers and reducing logistics costs have attracted great attention in logistics area. In this paper, we address an integrated optimization problem that combines fashion clothing assortment packing with collaborative shipping simultaneously. We formulate this problem as a mixed integer nonlinear programming model (MINLP) and then convert the proposed model into a simplified model. We use LINGO 11.0 to solve the transformed model. Numerical experiments have been conducted to verify the effectiveness and efficiency of the proposed model, and the numerical results show that the proposed model is beneficial to the fashion clothing assortment packing and collaborative shipping planning.

Suggested Citation

  • Qianying Wang & Yiping Jiang & Yang Liu, 2018. "Integrated Optimization on Assortment Packing and Collaborative Shipping for Fashion Clothing," Discrete Dynamics in Nature and Society, Hindawi, vol. 2018, pages 1-10, October.
    • Handle: RePEc:hin:jnddns:3973801
    DOI: 10.1155/2018/3973801
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    Cited by:

    1. Taniya Mukherjee & Isha Sangal & Biswajit Sarkar & Qais Almaamari & Tamer M. Alkadash, 2023. "How Effective Is Reverse Cross-Docking and Carbon Policies in Controlling Carbon Emission from the Fashion Industry?," Mathematics, MDPI, vol. 11(13), pages 1-25, June.

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