Supply Chain Disruptions Mitigation Plan Using Six Sigma Method for Sustainable Technology Infrastructure

• Autorzy: Andry Johanes Fernandes , Nurprihatin Filscha , Liliana Lydia

Identyfikatory

DOI

10.24425/mper.2022.142397

• Języki publikacji: EN

Abstrakty

EN

Supply Chain Management (SCM) is a very important part of the industrial world, especially in the manufacturing sector. The development of the business world affects the complexity of the supply chain due to the lack of logistics infrastructure, quality of materials and components, and much more. Supply chain disruption risk mapping needs to be done due to high uncertainty, which is overcome by implementing a decision support system. Based on the background of the problem, supply chain disruption mapping uses the help of the Six Sigma method, which consists of 5 stages: Define, Measure, Analyze, Improve, and Control (DMAIC). The measurement of disturbance also uses the Failure Mode and Effect Analysis (FMEA) approach to prioritize risk. Risks that have a high assessment and cause failure need to be prioritized for improvement. This study aims to map supply chain disruptions in the current manufacturing industry based on the barriers, resistances, and causes detected for making a decision support system prototype. By implementing a decision support system in the supply chain process, it is hoped that the manufacturing industry can minimize potential losses from existing risks.

Słowa kluczowe

EN

supply chain management; six sigma; FMEA; decision support system

• Wydawca: Production Engineering Committee of the Polish Academy of Sciences ; Polish Association for Production Management
• Czasopismo: Management and Production Engineering Review
• Rocznik: 2022
• Tom: Vol. 13, No. 4
• Strony: 88--97
• Opis fizyczny: Bibliogr. 27 poz., rys., tab., wykr.

Twórcy

autor

Andry Johanes Fernandes

• Department of Information Systems, Universitas Bunda Mulia, Indonesia

autor

Nurprihatin Filscha

• Department of Industrial Engineering, Sampoerna University, L’Avenue Building, Jl. Raya Pasar Minggu, 12780, South Jakarta, Indonesia,

autor

Liliana Lydia

• Department of Information Systems, Universitas Bunda Mulia, Indonesia

Bibliografia

• Abualsaud, A.S., Alhosani A.A., Mohamad A.Y., Eid F.N. Al and Alsyouf I. (2019), Using Six Sigma DMAIC Methodology to Develop a Facility Layout for a New Production Line, 8th International Conference on Modeling Simulation and Applied Optimization, ICMSAO, pp. 1–5. DOI: 10.1109/ICMSAO.2019.8880335.
• Adhyapak R., Baby A. and Koppuravuri S. (2019), Reduction in Call Handling Time in Transportation Service Industry using Lean Six Sigma DMAIC Methodology, International Journal of Productivity and Quality Management, No. 3, Vol. 27, pp. 352–368.
• Albertivan D., Limantara H., Rachmadiati R.A., Pamungkas A.W. and Surantha N. (2019), IT Risk Identification and Evaluation: A Case Study on XYZ University, International Journal on Advanced Science, Engineering and Information Technology, No. 1, Vol. 9, pp. 250–257. DOI: 10.18517/ijaseit.9.1.2739.
• Bhattacharjee P., Dey V. and Mandal U.K. (2020), Risk Assessment by Failure Mode and Effects Analysis (FMEA) using an Interval Number Based Logistic Regression Model, Safety Science, No. 132 (August), pp. 1–10. DOI: 10.1016/j.ssci.2020.104967.
• Bui T.D., Tsai F.M., Tseng M.L., Tan R.R., Yu K.D.S. and Lim M.K. (2021), Sustainable Supply Chain Management Towards Disruption and Organizational Ambidexterity: A Data Driven Analysis, Sustainable Production and Consumption, No. 26, pp. 373–410. DOI: 10.1016/j.spc.2020.09.017.
• Chakir A., Chergui M. and Andry J. F. (2021), A Decisional Smart Approach for the Adoption of the IT Green, Environment, Development and Sustainability, No. 6, Vol. 23, pp. 8857–8871. DOI: 10.1007/s10668-020-00999-1.
• Chandra S., Aziz P.A., Daton W.N. and Amrullah M.R. (2021), Risk Mitigation and Mapping on Tubular System During Microbial Huff and Puff Injection Coupled with Lean Six Sigma Approach at Field X, Journal of Petroleum and Geothermal Technology, No. 2, Vol. 2, pp. 38–55.
• Dehgani R. and Navimipour N.J. (2019), The Impact of Information Technology and Communication Systems on the Agility of Supply Chain Management Systems, Kybernetes, No. 10, Vol. 48, pp. 2217–2236. DOI: 10.1108/K-10-2018-0532.
• Eze M.N. and Eneh I.I. (2022), Using Failure Occurrence, Severity, Detection, and Risk Priority Number in Developing FMEA Worksheet in a Brewery for Failure Mitigation, International Journal of Engineering and Environmental Sciences, No. 3, Vol. 5, pp. 1–9.
• Ghadage Y.D., Narkhede B.E. and Raut R.D. (2020), Risk Management of Innovative Projects Using FMEA; A Case Study, International Journal of Business Excellence, No. 1, Vol. 20, pp. 70–97. DOI: 10.1504/IJBEX.2020.104841.
• Gul M., Yucesan M. and Celik E. (2020), A Manufacturing Failure Mode and Effect Analysis Based on Fuzzy and Probabilistic Risk Analysi, Applied Soft Computing Journal, No. 96, pp. 1–12. DOI: 10.1016/j.asoc.2020.106689.
• Hofmann E., Sternberg H., Chen H., Pflaum A. and Prockl G. (2019), Supply Chain Management and Industry 4.0: Conducting Research in the Digital Age, International Journal of Physical Distribution and Logistics Management, No. 10, Vol. 49, pp. 945–955. DOI: 10.1108/IJPDLM-11-2019-399.
• Improta G., Guizzi G., Ricciardi C., Giordano V., Ponsiglione A.M., Converso G. and Triassi M. (2020), Agile Six Sigma in Healthcare: Case Study at Santobono Pediatric Hospital, International Journal of Environmental Research and Public Health, No. 1052, Vol. 17, pp. 1–17.
• Ivanov D. and Dolgui A. (2021), A Digital Supply Chain Twin for Managing the Disruption Risks and Resilience in the Era of Industry 4.0, Production Planning and Control, No. 9, Vol. 32, pp. 775–788. DOI: 10.1080/09537287.2020.1768450.
• Kuvvetli U. and Firuzan A.R. (2019), Total Quality Management & Business Excellence Applying Six Sigma in urban public transportation to reduce traffic accidents involving municipality buses, Taylor and Francis Group, No. 3363 (March), pp. 1–27. DOI: 10.1080/14783363.2017.1297198.
• Mubarik M.S., Naghavi N., Mubarik M., KusiSarpong S., Khan S.A., Zaman S.I. and Kazmi S.H.A. (2021), Resilience and Cleaner Production in Industry 4.0: Role of Supply Chain Mapping and Visibility, Journal of Cleaner Production, No. 292, pp. 1–12. DOI: 10.1016/j.jclepro.2021.126058.
• Nurprihatin F., Elvina Rembulan G.D., Christianto K. and Hartono H. (2021), Decision Support System for Truck Scheduling in Logistic Network through Cross-Docking Strategy, Journal of Physics: Conference Series, No. 1811, pp. 1–11. DOI: 10.1088/1742-6596/1811/1/012009.
• Paksoy T., Calik A., Yildizbasi A. and Huber S. (2019), Risk Management in Lean & Green Supply Chain: A Novel Fuzzy Linguistic Risk Assessment Approach, International Series in Operations Research and Management Science, No. 273, pp. 75–100. DOI: 10.1007/978-3-319-97511-5_3.
• Patyal V.S., Modgil S. and Koilakuntla M. (2019), Application of Six Sigma Methodology in an Indian Chemical Company, International Journal of Productivity and Performance Management, pp. 1–26. DOI: 10.1108/IJPPM-03-2019-0128.
• Prashar A. (2020), Adopting Six Sigma DMAIC for Environmental Considerations in Process Industry Environment, TQM Journal, No. 6, Vol. 32, pp. 1241–1261. DOI: 10.1108/TQM-09-2019-0226.
• Prince A.I., Idamoyibo H.R., Jack A.E., Ndubuaku V. and Samuel U.E. (2020), Six-Sigma Model and the Growth of the Banking Sector in Nigeria, International Journal of Management (IJM), No. 11, Vol. 11, pp. 839–848. DOI: 10.34218/IJM.11.11.2020.079.
• Salvi R.K. and Jindal S. (2018), FMEA to Enhance Quality and Efficiency of CnC Machines: A Case Study in Valve Manufacturing Industry, Industrial Engineering Journal, No. 5, Vol. 10, pp. 1–8. DOI: 10.26488/iej.10.5.33.
• Shekarian M. and Mellat Parast M. (2021), An Integrative Approach to Supply Chain Disruption Risk and Resilience Management: A Literature Review, International Journal of Logistics Research and Applications, No. 5, Vol. 24, pp. 427–455. DOI: 10.1080/13675567.2020.1763935.
• Subriadi A.P. and Najwa N.F. (2020), The Consistency Analysis of Failure Mode and Effect Analysis (FMEA) in Information Technology Risk Assessment, Heliyon, No. 1, Vol. 6, pp. 1–12. DOI: 10.1016/j.heliyon.2020.e03161.
• Sunder V., Ganesh L. and Marathe R.R. (2019), Lean Six Sigma in Consumer Banking – An Empirical Inquiry, International Journal of Quality & Reliability Managemen, No. 8, Vol. 36, pp. 1345–1369. DOI: 10.1108/IJQRM-01-2019-0012.
• Tarigan Z.J.H., Mochtar J., Basana S.R. and Siagian H. (2021), The Effect of Competency Management on Organizational Performance through Supply Chain Integration and Quality, Uncertain Supply Chain Management, No. 2, Vol. 9, pp. 283–294. DOI: 10.5267/j.uscm.2021.3.004.
• Vaishnavi V. and Suresh M. (2020), Modelling of Readiness Factors for the Implementation of Lean Six Sigma in Healthcare Organizations, International Journal of Lean Six Sigma, No. 4, Vol. 11, pp. 597–633. DOI: 10.1108/IJLSS-12-2017-0146.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)