scholarly journals The Role of Industry 4.0 and BPMN in the Arise of Condition-Based and Predictive Maintenance: A Case Study in the Automotive Industry

2021 ◽  
Vol 11 (8) ◽  
pp. 3438
Author(s):  
Jorge Fernandes ◽  
João Reis ◽  
Nuno Melão ◽  
Leonor Teixeira ◽  
Marlene Amorim
Keyword(s):  
Business Process ◽  
Automotive Industry ◽  
Industry 4.0 ◽  
Process Model ◽  
Business Process Management ◽  
Process Management ◽  
Predictive Maintenance ◽  
The Evolution Of Industry

This article addresses the evolution of Industry 4.0 (I4.0) in the automotive industry, exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly present the concepts of predictive maintenance (PdM), condition-based maintenance (CBM), and their applications to increase awareness of why and how these concepts are revolutionizing the automotive industry. Then, we introduce the business process management (BPM) and business process model and notation (BPMN) methodologies, as well as their relationship with maintenance. Finally, we present the case study of the Renault Cacia, which is developing and implementing the concepts mentioned above.

scholarly journals Corporate efficiency improvement with business process automation

2018 ◽  
Vol 210 ◽  
pp. 02012
Author(s):  
Robert Waszkowski ◽  
Tadeusz Nowicki ◽  
Kazimierz Worwa
Keyword(s):  
Business Process ◽  
Protective Clothing ◽  
Process Model ◽  
Business Process Management ◽  
Process Management ◽  
Business Processes ◽  
Process Models ◽  
Efficiency Improvement ◽  
Process Automation

The paper outlines the concept for using the Business Process Management System (BPMS) to improve processes in a rental company. It also presents a case study of the implementation of the process approach in a medium-sized company dealing in the production, rental and service of work and protective clothing. The aim of the paper is to prepare reference business process models that allow you to measure and improve all the corporate activities. The process models were prepared in accordance with the BPMN (Business Process Model and Notation). The results of the conducted research prove that well designed business processes may not only be managed but also easily enhanced and automated in a way that allows organization to improve its performance in meaningful ways. The paper describes in detail - in subsequent chapters - sales, warehouse delivery, incoming correspondence handling, and cost accounting processes. In the last chapter the system architecture is presented. The proess models are prepared in an innovative way that allows easy process automation.

scholarly journals Proposal for an approach to evaluate continuity in service supply chains: Case of the Moroccan electricity supply chain

2019 ◽  
Vol 9 (6) ◽  
pp. 5552 ◽  
Author(s):  
Houda Mezouar ◽  
Abdellatif El Afia
Keyword(s):  
Supply Chain ◽  
Business Process ◽  
Business Process Management ◽  
Process Management ◽  
Residential Buildings ◽  
Suggested Approach ◽  
Root Cause ◽  
Process Behavior ◽  
Service Supply Chains

The purpose of this paper is to develop an approach to analyse and evaluate continuity in Service Supply Chain (SSC), through a case study. This approach is based on the data-driven quality strategy "Define, Measure, Analyze, Improve, Control" (DMAIC) which is used to drive Six Sigma projects, and on the characteristics of Smart Supply Chain. It combines Business process management (BPM), Supply Chain Operations Reference (SCOR), and the Root cause analysis tree diagram. The chosen case study is the electricity SCC, especially the business process 'management of electricity for residential buildings' of the Moroccan electricity SSC. The paper shows that the suggested approach identifies the discontinuity causes for the studied SSC, improves the business process behavior and manages its control by providing a dashboard that encompasses KPIs for periodically controlling of the SSC "to-be" state.

scholarly journals El impacto de la automatización en el mejoramiento de procesos

SATHIRI ◽  
2018 ◽  
Vol 12 (2) ◽  
pp. 249
Author(s):  
Alex Bolívar Cazañas Gordón ◽  
Esther María Parra Mora
Keyword(s):  
Business Process ◽  
Management System ◽  
Process Model ◽  
Business Process Management ◽  
Process Management ◽  
Business Process Model

Esta investigación tiene la intención de evaluar el efecto de la automatización en el desempeño de los procesos de una empresa de servicios. Para tal efecto, se analiza los resultados de la automatización de un proceso clave de negocio en un proveedor de servicios de telecomunicaciones. La automatización implementada toma como referencia el ciclo de vida descrito por la metodología BPM (Business Process Management), el cual se compone de cuatro fases: Modelamiento, implementación, ejecución, y análisis. Para la modelación del proceso se utilizó la notación definida en el estándar Business Process Model and Notation (BPMN). La automatización se implementó usando un paquete de herramientas informáticas comercial del tipo BPMS (Business Process Management System).

Business process management for Industry 4.0 – Three application cases in the DFKI-Smart-Lego-Factory

2018 ◽  
Vol 60 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Jana-Rebecca Rehse ◽  
Sharam Dadashnia ◽  
Peter Fettke
Keyword(s):  
Business Process ◽  
Industry 4.0 ◽  
Business Process Management ◽  
Manufacturing Industry ◽  
Process Management ◽  
Process Mining ◽  
Smart Factory ◽  
Manufacturing Processes ◽  
Planning And Control ◽  
And Control

Abstract The advent of Industry 4.0 is expected to dramatically change the manufacturing industry as we know it today. Highly standardized, rigid manufacturing processes need to become self-organizing and decentralized. This flexibility leads to new challenges to the management of smart factories in general and production planning and control in particular. In this contribution, we illustrate how established techniques from Business Process Management (BPM) hold great potential to conquer challenges in Industry 4.0. Therefore, we show three application cases based on the DFKI-Smart-Lego-Factory, a fully automated “smart factory” built out of LEGO® bricks, which demonstrates the potentials of BPM methodology for Industry 4.0 in an innovative, yet easily accessible way. For each application case (model-based management, process mining, prediction of manufacturing processes) in a smart factory, we describe the specific challenges of Industry 4.0, how BPM can be used to address these challenges, and, their realization within the DFKI-Smart-Lego-Factory.

Improving Effectiveness of Process Model Matchers Using Wordnet Glosses

2019 ◽  
Vol 10 (2) ◽  
pp. 1-19
Author(s):  
Mostefai Abdelkader
Keyword(s):  
Business Process ◽  
Process Model ◽  
Business Process Management ◽  
Process Management ◽  
Cosine Similarity ◽  
Process Models ◽  
Model Matching ◽  
Similarity Metric

Process model matching is a key activity in many business process management tasks. It is an activity that consists of detecting an alignment between process models by finding similar activities in two process models. This article proposes a method based on WordNet glosses to improve the effectiveness of process model matchers. The proposed method is composed of three steps. In the first step, all activities of the two BPs are extracted. Second, activity labels are expanded using word glosses and finally, similar activities are detected using the cosine similarity metric. Two experiments were conducted on well-known datasets to validate the effectiveness of the proposed approach. In the first one, an alignment is computed using the cosine similarity metric only and without a process of expansion. While, in the second experiment, the cosine similarity metric is applied to the expanded activities using glosses. The results of the experiments were promising and show that expanding activities using WordNet glosses improves the effectiveness of process model matchers.

Onto-VP2M

2017 ◽  
Vol 13 (3) ◽  
pp. 39-62 ◽  
Author(s):  
Fatma Ellouze ◽  
Mohamed Amine Chaâbane ◽  
Eric Andonoff ◽  
Rafik Bouaziz
Keyword(s):  
Business Process ◽  
Business Process Management ◽  
Process Management ◽  
Research Area ◽  
Collaborative Process ◽  
Subsea Pipeline ◽  
Context Reasoning ◽  
Active Research ◽  
Active Research Area

Collaborative process (CP) flexibility is an active research area in the field of business process management (BPM). It deals with both foreseen and unforeseen changes in the environment where CPs operate. In the literature, the version-based approach is largely used to cope with CP flexibility. However, BPM practitioners from various organizations can encounter some difficulties in a multi-version setting, of which when they must select the most appropriate CP version to be executed. Therefore, the aim of this article is to offer a solution to help them in this delicate task by proposing an ontology-based approach to model and query the context of versions of CP. More precisely, the authors recommend a new ontology, entitled BPM-Context-Onto, and a framework, entitled Onto-VP2M-Framework, providing support for (1) context version modeling in the BPM area, and (2) context-based querying exploiting reasoning mechanisms of the proposed ontology. The evaluation of the recommended framework shows that combining ontology with context reasoning is a promising idea in the BPM area. This novel framework has been examined within a real case study, namely the Subsea Pipeline CP.

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