Scheduling Optimization in the Mass Customization of Global Producer Services


Scheduling in the mass customization (MC) of global producer services is a typical multiobjective dynamic optimization issue, which is constrained by stochastic demand and resources. Such scheduling frequently challenges the cross-border call-making processes of multinational enterprises (MNEs). The educational literature has nonetheless to examine this optimization, although studies on the MC of tangible product provision are various. To handle this challenge effectively, we tend to construct a unique stochastic multiobjective dynamic scheduling model by considering the key features of the MC of global producer services, specifically, stochastic demand, distinctive characteristics of customization orders, special stage classification, economies of scale, stochastic service capabilities, and pressures for world integration versus native responsiveness. We have a tendency to improve the ant algorithm to unravel the scheduling downside and illustrate the feasibility, validity, and applicability of the new model and algorithm using the case of an MNE that has seismic acquisition services for oil companies. The results recommend that the proposed algorithm can achieve the flexibleness and balance of multiobjective optimization. The key optimization indicators recommend that the scheduling improved the general economies of scale on the availability chain, which may be a key issue in ensuring the success of the MC of world producer services. By incorporating the methodology of operational analysis and the perspective of international business, this study contributes to the literature of operational research by developing a unique scheduling model for the MC of worldwide producer services.

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