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Collaborative Product Portfolio Design Based on the Approach of Multichoice Goal Programming

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  • Sheng-Yuan Wang
  • Wan-Ming Chen
  • Ying Liu

Abstract

Product portfolio optimization is a typical multiobjective problem. The multichoice goal programming method becomes a popular means of resolving multiobjective decision problems. However, the classic multichoice goal programming method treats the product portfolio optimization in isolation and does not consider the mutual influence between portfolio products. Researchers should consider the interaction between products in portfolio optimization so that they can be adjusted to “real world” problems. The interaction between products can be explained by population dynamics. Logistic model is a classical method to analyze the population interaction. The equilibrium point of logistic model can show the ideal state of product population coordinated development. The combination of logistic and multichoice goal programming method is an effective approach to analyze the interaction of product portfolio. This paper therefore proposes a new alternative method to formulate the multiobjective problem and also uses an illustrative example to demonstrate the usefulness of the proposed method. The comparative analysis of model optimization results shows that logistic multichoice goal programming model can take into account resource constraints, product collaboration, and output maximization. Logistic multichoice goal programming model shows good performance in the aspects of operation complexity, operation time, sensitivity analysis, and collaborative entropy evaluation.

Suggested Citation

  • Sheng-Yuan Wang & Wan-Ming Chen & Ying Liu, 2021. "Collaborative Product Portfolio Design Based on the Approach of Multichoice Goal Programming," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-16, January.
    • Handle: RePEc:hin:jnlmpe:6678533
    DOI: 10.1155/2021/6678533
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    Cited by:

    1. Meixia Pan & Wanming Chen & Shengyuan Wang & Xiaolan Wu, 2022. "The Influence of Low Carbon Emission Engine on the Life Cycle of Automotive Products: A Case Study of Three-Cylinder Models in the Chinese Market," Energies, MDPI, vol. 15(18), pages 1-15, September.
    2. Wanming Chen & Shengyuan Wang & Xiaolan Wu, 2022. "Growth Mechanism and Synchronization Effect of China’s New Energy Vehicle Enterprises: An Empirical Analysis Based on Moving Logistic and Kuramoto Model," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    3. Gezen, Mesliha & Karaaslan, Abdulkerim, 2022. "Energy planning based on Vision-2023 of Turkey with a goal programming under fuzzy multi-objectives," Energy, Elsevier, vol. 261(PA).
    4. Shengyuan Wang, 2022. "Exploring the Sustainability of China’s New Energy Vehicle Development: Fresh Evidence from Population Symbiosis," Sustainability, MDPI, vol. 14(17), pages 1-21, August.

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