Eliminating Non-Value-Added Activities and Optimizing Manufacturing Processes Using Process Mining: A Stock of Challenges for Family SMEs

Author:

Laghouag Abderrazak1ORCID,Zafrah Faiz bin1,Qureshi Mohamed Rafik Noor Mohamed2ORCID,Sahli Alhussain Ali1

Affiliation:

1. Department of Business Administration, College of Business, King Khalid University, Abha 62552, Saudi Arabia

2. Department of Industrial Engineering, College of Engineering, King Khalid University, Abha 62552, Saudi Arabia

Abstract

Family small and medium enterprises (FSMEs) differ from non-family SMEs regarding leadership type, human resource management practices, innovation orientation, change management, information and communication technology deployment, process maturity, and resource availability. These differences present challenges when leading any change. Process mining (PM) tools can optimize process value and eliminate non-added-value activities in FSMEs based on “Event Logs”. The present study investigates how a PM project is implemented in an FSME operating in the agri-food sector, focusing on challenges faced in every project phase to extract the most appropriate process that eliminates all sources of waste and bottleneck cases. Drawing upon the L*Lifecycle methodology combined with quality and lean management tools such as the fishbone diagram, Pareto diagram, and overall equipment efficiency (OEE), this study applied a PM project to a manufacturing process for an FSME operating in the agri-food sector. To achieve theoretical production capacity (TPC) and customer satisfaction, the method was analyzed and optimized using Disco and ProM toolkits. The results analysis using Disco and ProM toolkits gave clues about the organizational and technical causes behind the manufacturing process’s inefficiency. First, OEE showed that the studied FSME is struggling with equipment availability. Then, the implementation of the L*Lifecycle methodology allowed for the identification of five critical causes. An action plan to eliminate causes was proposed to the FSME managers.

Funder

Deanship of Scientific Research at King Khalid University

Publisher

MDPI AG

Reference59 articles.

1. Monshaat (2023, December 08). SME Monitor Q2 2023, Available online: https://www.monshaat.gov.sa/en.

2. The challenges of lean manufacturing implementation in SMEs;Rymaszewska;Benchmarking: Int. J.,2014

3. Rose, A.M.N., Deros, B.M., Rahman, M.N.A., and Nordin, N. (2011, January 22–24). Lean manufacturing best practices in SMEs. Proceedings of the 2011 International Conference on Industrial Engineering and Operations Management, Kuala Lumpur, Malaysia.

4. Designing supply chains: Towards theory development;Vonderembse;Int. J. Prod. Econ.,2006

5. Basu, R., and Wright, J.N. (2010). Total Supply Chain Management, Routledge.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3