Procurement for Assembly Systems Under Supply Uncertainty: Optimal Mechanisms

Designing Effective Procurement Mechanisms for Assembly Systems Under Supply Uncertainty In their paper “Procurement for Assembly Systems Under Supply Uncertainty: Optimal Mechanisms,” Like Bu, Milind Dawande, and Ganesh Janakiraman explore how manufacturers can effectively source components when suppliers face uncertain yields and possess private information about their production costs. Such challenges are common in industries such as electronics and automotive manufacturing, in which a shortage of a single part can halt the entire assembly line. The authors develop an optimal procurement mechanism that helps manufacturers decide how much to source from each supplier and how to structure payments contingent on uncertain delivery quantities when suppliers’ production efforts cannot be directly observed. Their analysis reveals a practical menu-based contract under which each supplier selects terms best suited to its situation and the manufacturer subsequently determines order quantities for each component. The study provides both theoretical insights and actionable guidance for managing complex supply relationships in uncertain environments.

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Publication Details

Journal
Operations Research
Published
2025-12-18
DOI
https://doi.org/10.1287/opre.2022.0542
Primary Topic
Supply Chain and Inventory Management
Type
article
Field-Weighted Citation Impact
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article

Procurement for Assembly Systems Under Supply Uncertainty: Optimal Mechanisms

Milind Dawande, Ganesh Janakiraman, Like Bu
Operations Research
Supply Chain and Inventory Management
article

Procurement for Assembly Systems Under Supply Uncertainty: Optimal Mechanisms

Milind Dawande, Ganesh Janakiraman, Like Bu
article en

Abstract

Designing Effective Procurement Mechanisms for Assembly Systems Under Supply Uncertainty In their paper “Procurement for Assembly Systems Under Supply Uncertainty: Optimal Mechanisms,” Like Bu, Milind Dawande, and Ganesh Janakiraman explore how manufacturers can effectively source components when suppliers face uncertain yields and possess private information about their production costs. Such challenges are common in industries such as electronics and automotive manufacturing, in which a shortage of a single part can halt the entire assembly line. The authors develop an optimal procurement mechanism that helps manufacturers decide how much to source from each supplier and how to structure payments contingent on uncertain delivery quantities when suppliers’ production efforts cannot be directly observed. Their analysis reveals a practical menu-based contract under which each supplier selects terms best suited to its situation and the manufacturer subsequently determines order quantities for each component. The study provides both theoretical insights and actionable guidance for managing complex supply relationships in uncertain environments.

Operations Research
The University of Texas at Dallas (US)
Openalex Percentile: Top 42%
Supply Chain and Inventory Management
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Procurement for Assembly Systems Under Supply Uncertainty: Optimal Mechanisms — Milind Dawande, Ganesh Janakiraman, et al. · Operations Research (2025) | TGRS Research Map | TGRS