Developing a key performance indicators tree for lean and smart production systems

被引：58

作者：

Ante, G. ^{[1
]}

Facchini, F. ^{[2
]}

Mossa, G. ^{[2
]}

Digiesi, S. ^{[2
]}

机构：

[1] BOSCH Tecnol Diesel SpA, Modugno, BA, Italy

[2] Polytech Univ Bari, Dept Mech Math & Management, Viale Japigia 182, Bari, Italy

来源：

IFAC PAPERSONLINE | 2018年 / 51卷 / 11期

关键词：

KPI; PMS; lean production; BPS; industry; 4.0; MANAGEMENT;

D O I：

10.1016/j.ifacol.2018.08.227

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a tree-like structure of Key Performance Indicators (KPIs) is proposed to describe the Performance Measurement System (PMS) of a lean production system. The KPIs and their supporting measurement elements are identified and categorized in a multi-level hierarchy designed to give answers at strategic, tactical, and operational level. Examples of the dependencies between high-level decision variables, KPIs, and their measurement elements are presented with reference to the Bosch Production System (BPS) of a multinational manufacturer leader in the automotive industry. Moreover, the role and the impact of the KPIs selection in supporting, addressing, and evaluating the implementation of smart manufacturing projects in the fourth industrial revolution (14.0) is shown. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：13 / 18

页数：6

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