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Chinese Journal of Management Science ›› 2024, Vol. 32 ›› Issue (9): 260-270.doi: 10.16381/j.cnki.issn1003-207x.2021.2332

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Resource-constrained Max-NPV Multi-project Scheduling Optimization under Sharing Economy Environment

Yidan He1,2,Zhengwen He1,2,3(),Nengmin Wang1,2,3,Zhiqiang Ma4   

  1. 1.School of Management,Xi’an Jiaotong University,Xi’an 710049,China
    2.Key Laboratory for Process Management & Efficiency Engineering (Xi’an Jiaotong University),Ministry of Education,Xi’an 710049,China
    3.School of Management,Zhengzhou College of Finance and Economics,Zhengzhou 450000,China
    4.School of Economics and Management,China University of Petroleum,Qingdao 266580,China
  • Received:2021-11-10 Revised:2022-04-15 Online:2024-09-25 Published:2024-10-12
  • Contact: Zhengwen He E-mail:zhengwenhe@mail.xjtu.edu.cn

Abstract:

Significant changes of the allocation of resources have arisen under sharing economy environment: the platform enterprise now matches the member enterprises to the projects’ demands instead of the contractor arranging its own resources. Based on this fact, the resource-constrained Max-NPV multi-project scheduling optimization problem is studied. First, the problem is identified and formulated into a nonlinear integer programming model after abstracting the characteristics of the sharing economy. Then for the NP-hard problem, a simulated annealing algorithm is developed to generate multi-project baseline schedules and corresponding matching schemes. Ultimately, an instance is used to illustrate the problem and a sensitivity analysis of key parameters is conducted. The conclusions are as follows: The total NPV of projects grows with the increase of member enterprises numbers, project deadlines and pay ratio and drops with that of the discount rate. Besides, the increasing number of member enterprises and the extension of project deadlines have a diminishing marginal effect on the NPV, and augment of one will make NPV less sensitive to the other. The quantitative decision support is provided for multi-project scheduling and member enterprises resource allocating under sharing economy environment.

Key words: Max-NPV multi-project scheduling, optimization model, simulated annealing algorithm, sharing economy, resource constraint

CLC Number: