Methodology for Implementing a Manufacturing Execution System in the Machinery and Equipment Industry

被引:0
作者
Costa, Leonor [1 ]
Almeida, Antonio [2 ]
Reis, Luis [3 ]
机构
[1] Inst Super Engn Porto, Rua Dr Antonio Bernardino Almeida, P-4249015 Porto, Portugal
[2] Inst Engn Sistemas & Computadores Tecnol & Cienci, Rua Dr Roberto Frias, P-4200465 Porto, Portugal
[3] ADIRA Met Forming Solut, Rua Lages, P-4410272 Canelas, Portugal
来源
5TH INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING, ISM 2023 | 2024年 / 232卷
关键词
Lean; Methodology; Manufacturing Execution System; Systems Integration; IMPROVEMENT; ENABLERS;
D O I
10.1016/j.procs.2024.02.025
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In today's volatile, uncertain, and complex business environments, manufacturing companies must not only adapt to market demands but also minimize the time between problem occurrence and resolution. The implementation of lean manufacturing systems has been crucial in this regard. However, traditional approaches have shown notable inefficiencies that can be effectively addressed through digitalization. By embracing digital solutions, manufacturing companies can ensure efficient continuous improvement, driving performance to higher levels. This study aims to find a digital solution for a specific company that faces daily challenges associated with low visibility into production. An investigation revealed that the Lean tools used by the company were outdated, directly affecting the generated information and consequently, decision-making. The integration of a Manufacturing Execution System into the factory's dynamics was the solution found. In this context, a step-by-step methodology is proposed to guide the implementation. As a result, a prototype of the system was designed. The validation of the system by end-users demonstrates the success of the proposed methodology.
引用
收藏
页码:2028 / 2037
页数:10
相关论文
共 29 条
[1]  
Akkermans H.A., 2003, The impact of ERP on supply chain management: Exploratory findings from a European delphi study (Open Access publications from Tilburg University No. urn:nbn:nl:ui:12-3106678)
[2]  
Aksar O., 2020, INTEGRATED VALUE STR, P357
[3]  
Associate Professor Sinhgad College of Engineering Pune Maharashtra India, 2020, GEDRAG & ORGANISATIE REVIEW, V33, DOI [10.37896/gor33.02/113, 10.37896/GOR33.02/113, DOI 10.37896/GOR33.02/113]
[4]   Implementation of Lean Six Sigma framework with environmental considerations in an Indian automotive component manufacturing firm: a case study [J].
Ben Ruben, R. ;
Vinodh, S. ;
Asokan, P. .
PRODUCTION PLANNING & CONTROL, 2017, 28 (15) :1193-1211
[5]  
Blackstone A., 2012, PRINCIPLES SOCIOLOGI
[6]   Big data analytics and business analytics [J].
Duan, Lian ;
Xiong, Ye .
JOURNAL OF MANAGEMENT ANALYTICS, 2015, 2 (01) :1-21
[7]  
Fatorachian H., 2018, A critical investigation of Industry 4.0 in manufacturing: Theoretical operationalization framework, DOI [DOI 10.1080/09537287.2018.1424960, 10.1080/09537287.2018.1424960]
[8]   Can we still talk about continuous improvement? Rethinking enablers and inhibitors for successful implementation [J].
Garcia-Sabater, Julio J. ;
Marin-Garcia, Juan A. .
INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT, 2011, 55 (1-2) :28-42
[9]  
de Oliveira ALG, 2019, S AFR J IND ENG, V30, P172
[10]  
Klaus Helmut., 2000, What is ERP