ERP Post Implementation Review with Process Mining: A Case of Procurement Process

Er, Mahendrawathi; Zayin, Shania Olivia; Pamungkas, Firman Jati

doi:10.1016/j.procs.2017.12.149

Cited by 25 publications

(14 citation statements)

References 16 publications

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“…Mahendrawathi ER, Shania Zayin and Firman Pamungkas promotes on their paper the use of process mining and root cause analysis from BPM field to make post implementation review of ERP implementation at the level of business process (Mahendrawathi et al, 2017). The case study company is a chemical company that is changing their old ERP system with SAP ERP.…”

Section: Examples Of Implementing Process Mining On Erpmentioning

confidence: 99%

“…The case study company is a chemical company that is changing their old ERP system with SAP ERP. They presented how the event log for the process of procurement is generated from the activities data stored in SAP database (Mahendrawathi et al, 2017). They used the Disco tool to process the event log to conduct more analysis where they applied the fuzzy miner to discover the process model from event log (Mahendrawathi et al, 2017).…”

Section: Examples Of Implementing Process Mining On Erpmentioning

confidence: 99%

“…They presented how the event log for the process of procurement is generated from the activities data stored in SAP database (Mahendrawathi et al, 2017). They used the Disco tool to process the event log to conduct more analysis where they applied the fuzzy miner to discover the process model from event log (Mahendrawathi et al, 2017). They present that process mining helped them find out the bottleneck appears which related to technical issues, data migration issues and cultural issues like high dependency of hard copy approval (Mahendrawathi et al, 2017).…”

Section: Examples Of Implementing Process Mining On Erpmentioning

confidence: 99%

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Process Mining Implementation Benefits for Organizations Using Erp Systems

2021

14th IADIS International Conference Information Systems

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One of the most valuable assets of an organization is its organizational data. Enterprise recourse planning (ERP) is one of the information systems that can be a source for data and implemented processes for the most of the organizations. Business process management and data driven approach are combined in process mining to address the increasing needs of organizations. The core idea of process mining is to utilize ERP or any other information systems implicit data by using algorithms to create new process model, analyze a process model or enhance an existing process model. In this review paper, I will discuss how organizations benefit more from ERP in improving their business process by using process mining technique in business process management cycle. The paper contains examples of related work that use process mining in different business process that have been implemented in ERP.

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Section: Examples Of Implementing Process Mining On Erpmentioning

confidence: 99%

Section: Examples Of Implementing Process Mining On Erpmentioning

confidence: 99%

Section: Examples Of Implementing Process Mining On Erpmentioning

confidence: 99%

See 1 more Smart Citation

Process Mining Implementation Benefits for Organizations Using Erp Systems

2021

14th IADIS International Conference Information Systems

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“…Wang et al, 2010), (Rehm et al, 2011), (J. Wang, Wu, Liu, & Xing, 2017), (Guldi, 2004), (Egger, Griitzner, Burmer, & Dudkiewicz, 2007), (Gil et al, 2017), (Chertkov, Disyuk, Pimenov, & Aksenova, 2017), (Luka et al, 2016), (Chuang & Lee, 2004) Business Economics 48 (4,29%) (Isack, Mutingi, Kandjeke, Vashishth, & Chakraborty, 2018), (Mahendrawathi, Zayin, & Pamungkas, 2017), (Samopa, Astuti, & Lestari, 2017), (Wieczerniak, Cyplik, & Milczarek, 2017), (Richter, Aymelek, & Mattfeld, 2017), (Usman & Rendy, 2017), (Aligula, Kok, & Sim, 2017), (Sawalha, 2017), (Claxton & Campbell-Allen, 2017), (Markopoulos & Vanharanta, 2017) Optics 33 (2,95%) (X. Wang et al, 2010), (Giollo, Lam, Gkorou, Liu, & van Haren, 2017), (Schulz, Egodage, Tabbone, Ehrlich, & Garetto, 2017), (Xie, Venkatachalam, Lee, Chen, & Zafar, 2017), (Horvath, Krkos, & Dubravec, 2017), (Tchikoulaeva, Holfeld, Arend, & Foca, 2008), (Mora et al, 2016), (Gutjahr et al, 2016), (McCroskey, Abell, & Chidester, 2000),…”

Section: Primary Objectivementioning

confidence: 99%

Digital Transformation in Healthcare – the case of a Chinese Medicine Inquiring System

Lin

Phillips

Wickramasinghe

2018

Digital Transformation – Meeting the Challenges

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Bled eConference, organized by University of Maribor, Faculty of Organizational Sciences, has been shaping electronic interactions since 1988. Bled eConference is the oldest, most traditional and well renowned conference in the field with more than 30 years of tradition. The theme of this year's conference is dedicated to "Digital Transformation -Meeting the Challenges".The evolution of digital technologies and solutions has significantly impacted the way in which business is conducted and have big implications on our lives. Nowadays digital economy calls for transformation of businesses, governments, education and societies as whole. It also calls for enabling policies and politics for cross border and global digital business.In this year's conference, we address various aspects of digital transformation and provide directions and guidelines for organizations to meet and overcome these challenges on their way towards successful digital transformation. Themes covered in the papers of these proceedings are focused on: digital transformation; business model innovation; blockchain and social media; big data, data science, and decision support systems; ehealth, digital wellness and wellbeing; new applications and organizational models; and novel approaches and cases in education in digital economy.

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“…Log data activity stores the analysis of the process of procurement of goods and services in the company. The storage capacity of the log data is substantial [6]. Therefore, it requires a long time due to the many verification documents that must be provided to all relevant departments to carry out the procurement of goods and services, resulting in the purchase of products and services experiencing a time delay and many procedural misuses.…”

Section: Introductionmentioning

confidence: 99%

Mapping log data activity using heuristic miner algorithm in manufacture and logistics company

et al. 2021

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Strategies for the procurement of goods and services are essential for companies in Indonesia's manufacturing and logistics sectors. The solution to reducing the existing problem is to make a mapping plan, such as verifying documents from each department, so that it takes a long time, resulting in many issues, such as procedural misuse findings. Heuristics miner algorithms get data to form logs that consist of goods and services procurement activities. Processing log data into XML data (data extraction), which produces a dependency model and business and casual matrix (discovery process), then determines the value of fitness and precision (suitability) called the conformity checking phase process. This phase aims to produce a new business (process enhancement phase), which will create a solution to the risk of delay and procedural abuse. The results of each of these processes rank each stage of the procurement of goods and services sequentially and together to provide timeefficient and accurate decisions, resulting in project implementation comparable to the company's business strategy. Implement the heuristics miner algorithm using the Python programming language.

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ERP Post Implementation Review with Process Mining: A Case of Procurement Process

Cited by 25 publications

References 16 publications

Process Mining Implementation Benefits for Organizations Using Erp Systems

Process Mining Implementation Benefits for Organizations Using Erp Systems

Digital Transformation in Healthcare – the case of a Chinese Medicine Inquiring System

Mapping log data activity using heuristic miner algorithm in manufacture and logistics company

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