采用计分规则的激励相容绿色采购

Deepak Bagchi, S. Biswas, Y. Narahari, N. Viswanadham, P. Suresh, S. Subrahmanya
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引用次数: 1

摘要

绿色或可持续采购对现代任何供应链都至关重要。在本文中,我们解决了供应商的选择问题,以确保制造或服务供应链中的采购过程选择供应商,从而最大限度地减少碳排放。我们所要解决的具体问题涉及到一个协调者或采购计划者,他们希望把一个由战略供应商组成的绿色采购网络放在一起。我们的方法把问题分成两个阶段。在第一阶段(信息激发),协调者使用绿色预算为供应商提供适当的激励,以准确报告其碳排放。奖励是根据适当的评分规则确定的。在获得了第一阶段的排放数据后,协调者在第二阶段(绿色供应商选择)确定了一个供应商池,以最大限度地减少采购过程的碳排放量。本文着重于问题的第一阶段,并开发了一种激励相容机制,以获得排放估计。我们用一个程式化的例子和详细的仿真结果来说明所提出的机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Incentive compatible green procurement using scoring rules
Green or sustainable procurement is critical to any supply chain in the modern era. In this paper, we address the issue of selection of suppliers in order to ensure that the procurement process in a manufacturing or service supply chain selects suppliers so as to minimize carbon emissions. The specific problem we address pertains to that of an orchestrator or a procurement planner who wishes to put together a green procurement network consisting of strategic suppliers. Our approach decomposes the problem into two stages. In Stage 1 (information elicitation), the orchestrator uses a green budget to offer appropriate incentives to the suppliers to report their carbon emissions accurately. The incentives are determined using an approach based on proper scoring rules. Having obtained emissions data in Stage 1, the orchestrator identifies a pool of suppliers in Stage 2 (green supplier selection) to minimize the quantum of carbon emissions of the procurement process. The paper focuses on Stage 1 of the problem and develops an incentive compatible mechanism for elicitation of emission estimates. We illustrate the proposed mechanism with a stylized example and also with detailed simulation results.
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