Typology and literature review on multiple supplier inventory control models

This paper reviews the literature on inventory models with multiple sourcing options and presents a typology for classification. By means of the classification, the progression of the literature (policies and modeling assumptions) is illustrated, the main decision trade-offs in multiple sourcing are identified and avenues for future research are pointed out. Multiple sourcing decision models trade offthe added costs of backup sourcing against higher inventory or shortage costs under single sourcing. The value of multiple over single sourcing is found to increase in the uncertainty to be buffered, in inventory holding and shortage costs, as well as in the constraints of the primary source. The literature evolved from small, restrictive models to larger problems and more realism. Accordingly, replenishment policies progressed from optimal policies to more heuristic decision rules. Three areas for future research are suggested for moving the field forward and towards more practical applicability. (1) Further integration of model aspects such as the extension of replenishment policies to more than two suppliers and to multi-echelon models. (2) Focusing on supply chain resilience with decision making disruption events or demand spikes under consideration of risk preferences. (3) Utilizing industry data in machine learning and data-driven methodologies. (C) 2020 Elsevier B.V. All rights reserved.

Automated summary

This paper reviews the literature on inventory models with multiple sourcing options and presents a typology for classification. It illustrates the progress of the literature, identifies the main decision trade-offs in multiple sourcing, and points out avenues for future research. The value of multiple sourcing over single sourcing is found to increase in uncertainty, costs, and source constraints, with the literature evolving from small, restrictive models to larger and more realistic scenarios.