A Physics-Based Approach for Managing Supply Chain Risks and Opportunities Within Its Performance Framework

被引：3

作者：

Cerabona, Thibaut ^{[1
]}

Lauras, Matthieu ^{[1
]}

Faugere, Louis ^{[2
]}

Gitto, Jean-Philippe ^{[3
]}

Montreuil, Benoit ^{[2
]}

Benaben, Frederick ^{[1
]}

机构：

[1] IMT Mines Albi, Ctr Genie Ind, Campus Jarlard, F-81013 Albi 09, France

[2] H Milton Steward Sch Ind & Syst Engn, ISyE, 755 Ferst Dr, Atlanta, GA 30332 USA

[3] Scalian, 17 Ave Didier Daurat,Batiment Pythagore, F-31700 Blagnac, France

来源：

BOOSTING COLLABORATIVE NETWORKS 4.0: 21ST IFIP WG 5.5 WORKING CONFERENCE ON VIRTUAL ENTERPRISES, PRO-VE 2020 | 2021年 / 598卷

关键词：

Risk Management; Opportunity Management; Supply Chain; Management; Physics; MANAGEMENT; METRICS;

D O I：

10.1007/978-3-030-62412-5_34

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Managing a Collaborative Network (such as a supply chain) requires setting and pursuing objectives. These can be represented and evaluated by formal Key Performance Indicators (KPIs). Managing a supply chain aims to stretch its KPIs towards target values. Therefore, any Collaborative Network's goal is to monitor its trajectory within the framework of its KPIs. Currently potentiality (risk or opportunity) management is based on the capacity of managers to analyze increasingly complex situations. The new approach presented in this paper opens the door to a new methodology for supply chain potentiality management. It offers an innovative data-driven approach that takes data as input and applies physical principles for supporting decision-making processes to monitor supply chain's performance. With that approach, potentialities are seen as forces that push or pull the network within its multidimensional KPI space.

引用

页码：418 / 427

页数：10

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