scholarly journals Process improvement methodology selection in manufacturing: A literature review perspective

2021 ◽  
Vol 8 (3) ◽  
pp. 12-20
Author(s):  
Aichouni et al. ◽  
Keyword(s):  
Literature Review ◽  
Process Improvement ◽  
Continuous Process ◽  
Poor Quality ◽  
Continuous Process Improvement ◽  
Professional Literature ◽  
Continuous Improvement Process ◽  
Improvement Methodologies ◽  
The Right ◽  
Selection Of

Problems in manufacturing have always been a hurdle for leadership, engineers, and professionals. They can lead to low productivity, poor quality, high costs, and ultimately loss of customers. Problems should be prevented by fair means and following well-established methodologies of continuous process improvement. The present paper addresses this topic, which in both academic and professional literature has been discussed from one single angle–that is, how to use a specific methodology in a certain situation. From that perspective, researchers from academia and consultancy promote the use of a particular method. One of the greatest challenges to researchers and practitioners in manufacturing is to select the right methodology for problem-solving and process improvement. The present paper attempts to address this issue from a literature review perspective. The approach followed is based on the fact that understanding the attributes of process improvement methodologies reported in the open literature and their linkages to the main phases of the continuous improvement process will provide insights on how the selection of the methodologies can be carried out in real manufacturing situations.

scholarly journals Process Mining in Supply Chains: A Systematic Literature Review

2018 ◽  
Vol 8 (6) ◽  
pp. 4626
Author(s):  
Bambang Jokonowo ◽  
Jan Claes ◽  
Riyanarto Sarno ◽  
Siti Rochimah
Keyword(s):  
Literature Review ◽  
Supply Chains ◽  
Process Improvement ◽  
Systematic Literature Review ◽  
Process Mining ◽  
Continuous Process ◽  
Process Models ◽  
Data Preparation ◽  
Continuous Process Improvement ◽  
Definition Of

Performance analysis and continuous process improvement efforts are often supported by the construction of process models representing the interactions of the partners in the supply chain. This study was conducted to determine the state of the art in the process mining field, specifically in the context of cross-organizational process. The Systematic Literature Review (SLR) method is used to review a collection of twenty-one papers that are classified according to the Artifact framework of Hevner, et al. and within the Process Mining framework of Van der Aalst. In the reviewed papers, the authors conducted a variety of techniques to establish the event log, which is then used to perform the process mining analysis. Eight of the reviewed papers focus on the definition of concepts or measures. Five of the papers describe models and other abstractions that are used as a theoretical basis for process mining in the context of supply chains. The majority twenty of papers describe some kind of informal method or formal algorithm to perform process mining analysis. Nine of the papers that propose a formal algorithm also present an accompanying software implementation. Eight papers discuss the data preparation challenges and twelve papers discuss process discovery techniques.

Technological Digital Disruption in the Age of Artificial Intelligence

2021 ◽  
pp. 1-35
Author(s):  
Sharon L. Burton
Keyword(s):  
Artificial Intelligence ◽  
Literature Review ◽  
New Media ◽  
Process Improvement ◽  
Business Process ◽  
Continuous Process ◽  
Evidence Based ◽  
Journalism Education ◽  
Continuous Process Improvement ◽  
Digital Disruption

Thirty years of debating best journalism models has led to a needed academic business integrated conceptual framework to be developed into distinct models. This chapter offers evidence-based data of needed change for journalism education to meet departmental requirements plus support needs in this technological digital artificial intelligence new media age. Learning must reflect new approaches for data receipt. Readers will review education, practitioner, and learner perspectives to study arguments and experiences, plus probe the manner this data describes the formation, and exercise of journalism, expertise, traditions, determinations, happenstances, objectives, agreements, and learning. Through literature review and ethnography, detailed is a forward-looking framework founded on continuous process improvement which should better prepare learners to compete in this technologically digitized society. This research adds to the journalism, strategy, artificial intelligence, and business process improvement bodies of knowledge for academics, practitioners, and learners.

scholarly journals Value Stream Mapping of Rope Manufacturing: A Case Study

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Korakot Yuvamitra ◽  
Jim Lee ◽  
Kanjicai Dong
Keyword(s):  
Process Improvement ◽  
Manufacturing Process ◽  
Continuous Process ◽  
Successful Outcome ◽  
Value Stream Mapping ◽  
Manufacturing Companies ◽  
Market Place ◽  
Continuous Process Improvement ◽  
Value Stream

In today’s competitive market place, manufacturing companies must apply continuous process improvement in order to maintain a returning customer base. One way of achieving constant process improvement is through value stream mapping. Value stream mapping is used to visualize the current processes for easier understanding and problem identification. A well-defined problem statement will ensure a successful outcome of a project improvement process. This research provides a case study performed on a rope manufacturing process. A current state value stream map is created, and the possible improvements are suggested. The implemented results are shown in the form of future state map. The results show that, after waste elimination and structural revision, a manufacturing process becomes more efficient, enabling the customer to receive an order significantly faster.

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