scholarly journals LEAN SIX SIGMA: MULTIPLE CASE STUDY

Author(s):  
Orlando Roque Da Silva ◽  
Alessandro Marco Rosini ◽  
Arnoldo J H Guevara ◽  
Angelo Palmisano ◽  
Delvio Venanzi

Lean Six Sigma is a management focused on quality and productive performance in operating systems. This article discusses the foundations of this methodology through of two different conceptions of management, Lean Manufacturing and Six Sigma. First of the article explain the DMAIC (define measure, analyze, improve and control) and their respective phases, after the Lean philosophy with the sipoc and value stream mapping techniques. The article aims to show integration of these two conception and their results. The methodology consisted in a theory was based on a literature search an exploratory research which consisted of three case studies in differences companies located in Sorocaba, São Paulo. In this article studies the applying of Lean Six Sigma and its results.

2020 ◽  
Vol 7 (2) ◽  
pp. 143
Author(s):  
Reni Dwi Astuti ◽  
Lathifurahman Lathifurahman

Hasil observasi di PT. Holcim Indonesia Tbk, pabrik Cilacap, didapati banyaknya pemborosan di bagian pengepakan semen, termasuk banyaknya produk cacat kemasan, sehingga banyak semen tercecer dan harus mengulangi proses pengepakan. Penelitian ini dilakukan untuk mengidentifikasi pemborosan selama proses pengepakan menggunakan  pendekatan lean manufacturing dengan value stream mapping. Sementara tingkat kualitas dianalisis dengan metode six-sigma. Penyebab kecacatan produk dianalisis dengan fish-bone diagram. Failure Mode and Effect Analysis (FMEA) digunakan untuk merancang ususlan perbaikan. Pemborosan yang teridentifikasi meliputi : transportation, motion, waiting, over processing, dan defect. Usulan perbaikan untuk mengurangi pemborosan yaitu dengan penggabungan stasiun penimbangan dan stasiun pemeriksaan, sehingga memberikan estimasi peningkatan  process cycle effisiensi  dari 39,1% menjadi 46,69. Sedangkan upaya untuk mengurangi cacat produk dilakukan dengan perawatan preventif mesin packer.


Lately, value stream mapping (VSM) is integrated with tools and techniques that belong to other areas of knowledge such as risk management (RM). It is well known tool in showing the value, value stream and the flow which represents three of lean manufacturing (LM) principles. This integration, gives more benefit in covering two of VSM issues such as considering the variability and uncertainty of production processes. In this paper, a model named variable value stream mapping (V-VSM) that integrates the two was showed, explained and tested. The model helps to generate the VSM in a dynamic way with the identification of current and potential risks. These risks might happen in the future bringing a strong impact on not reaching the main objectives in the defined time and cost. The model has been tested by conducting a case study in food sector. A current state map was built using both models, traditional VSM and VVSM. The results showed the effect of variability and uncertainty on the total cycle time (CT) and lead time (LT) values, where the traditional VSM failed to show it by being a static tool. Comparing the results of both models show the differences in presenting the real state of manufacturing environment..


OPSI ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 14 ◽  
Author(s):  
Almer Panji Pradana ◽  
Mochammad Chaeron ◽  
Muhammad Shodiq Abdul Khanan

CV Marga Jaya (Pabrik II) adalah perusahaan yang bergerak di bidang pembuatan paving/conblock secara masal. CV Marga Jaya (Pabrik II) selalu berusaha mengurangi pemborosan yang terjadi selama proses produksi paving/conblock. Pemborosan yang terjadi antari lain, adanya produksi berlebih, transportasi, waktu menunggu, dan cacat yang berlebih.  Lean Manufacaturing merupakan pendekatan yang bertujuan untuk merampingkan proses dengan mengurangi pemborosan yang terjadi selama proses produksi. Pendekatan konsep lean manufacturing dimulai dengan membuat big picture mapping, dilanjutkan dengan waste assessment model (WAM), diagram cause and effects, value stream analysis tools (VALSAT), usulan perbaikan waste yang terjadi, dan pembuatan descrete event simulation (DES). Hasil yang didapat bahwa waktu menunggu yang terjadi diperbaiki dengan menggunakan conveyor, produksi berlebih yang terjadi diperbaiki dengan melakukan perencanaan produksi, dan cacat berlebih yang terjadi diperbaiki dengan menggunakan 5W+1H dengan sebelumnya menggunakan konsep lean six sigma dan didapat nilai sigma sebesar 4,31 sigma. Simulasi proses menunjukkan dengan mengurangi pemborosan, kemampuan produksi naik 15,36% (penjemuran 30 hari) dan 147,20% (penjemuran 7 hari).


2016 ◽  
Vol 23 (2) ◽  
pp. 29-44 ◽  
Author(s):  
Bart A. Lameijer ◽  
David T. J. Veen ◽  
Ronald J. M. M. Does ◽  
Jeroen De Mast

Author(s):  
V. Saravanan ◽  
S. Nallusamy ◽  
Abraham George

Productivity is an important parameter for all small and medium scale manufacturing industries. Lean manufacturing emerged as production strategy capable of increasing productivity by identifying and eliminating non value added activities. This article deals with productivity improvement in a pre-assembly line of gearbox manufacturing company with a case study using lean concepts like process flow chart, process Gantt chart and time study. This paper illustrates using a case study on how a value stream mapping has to be carried out in a planet carrier pre-assembly line. Value stream mapping and work standardization are the key tools used in lean manufacturing and lean transformation. It makes the process smoother, helps in reduction of lead time and ultimately increasing the productivity. From the observed results it was found that, the productivity has been increased from 7 pieces to 10 pieces in the first step assembly when the proposed VSM was implemented. The second step processing time was reduced by the execution of proposed value stream mapping with TAKT time of 126 minutes and 165 minutes of processing time for demand of 10 pieces were achieved and the overall processing time has been reduced by about 24%.


2016 ◽  
Vol 7 (3) ◽  
pp. 324-342 ◽  
Author(s):  
Leopoldo Gutierrez-Gutierrez ◽  
Sander de Leeuw ◽  
Ruud Dubbers

Purpose This paper aims to analyze the application of Lean Six Sigma (LSS) framework for supporting continuous improvement (CI) in logistics services. Both the lean philosophy and the Six Sigma methodology have become two of the most important initiatives for CI in organizations. The combination of both alternatives – LSS – brings significant benefits for companies applying this method, and its influence in logistics services can be relevant. Design/methodology/approach A case study on the logistics services of a large consumer electronics company is performed. In this sector, high quality in logistics services is crucial. Using within-case and cross-case analyses, the paper discusses the implementation of LSS in two internal logistics processes. Findings The paper identifies important implementation aspects when applying LSS to logistics services, such as CI structure, strategic analysis, cross-functional teams and process management. Furthermore, the paper discusses the potential in logistics services of the DMAIC (define, measure, analyze, improve and control) approach and tools such as value stream mapping, SIPOC (supplier, input, process, output, and customer) and process mapping. Practical implications The paper analyzes two logistics processes where LSS has been applied – a payment process and a request-to-ship process. The analysis of both processes offers relevant information about organizational implementation in a logistics services environment about process improvement and about the use of LSS tools. Originality/value First, this paper addresses the gap in literature about LSS and logistics’ activities. Furthermore, the case company, with more than 9,000 employees and distributing its products to more than 100 countries, constitutes a valuable source of information to obtain insights into the implications of implementing LSS in logistics services.


Author(s):  
Siti Hardianti, Neva Satyahadewi, Nurfitri Imro’ah

Pengendalian kualitas dapat dilakukan dengan berbagai cara, diantaranya menggunakan metode Lean Six Sigma. Metode Lean Six Sigma dapat menunjukkan jalannya proses produksi sehingga diketahui pemborosan, kecacatan dan proses terjadinya produksi melalui value stream mapping. Lean Six Sigma dapat diterapkan di bidang industri, satu diantaranya adalah perusahaan CV. XYZ. Perusahaan tersebut memproduksi wajan dengan nomor 10, 11, 12, 13, 14, 15, 16, 18, 20, 22, 24, 26, 28 dan 30. Wajan nomor 18 adalah wajan yang paling diminati konsumen. Tahapan dalam Lean Six Sigma dimulai dari define, measure dan analyze. Jenis kecacatan diklasifikasikan menjadi empat kelas yaitu sangat serius (A), serius (B), cukup serius (C) dan tidak serius (D) dengan jumlah observasi sebanyak 78 hari. Kecacatan terbesar terjadi di kelas cacat sangat serius yaitu sebesar 44,38%. Level sigma merupakan kemungkinan besar kecacatan yang akan terjadi jika memproduksi satu juta produk. Pada penelitian ini, level sigma yang dihasilkan kecacatan sangat serius adalah 3,2, sehingga dengan menggunakan nilai Defect Per Million Oppertunities (DPMO) dapat disimpulkan bahwa dalam satu juta produksi kemungkinan produk cacat sebesar 44.211 buah. Berdasarkan analisis Failure Mode and Effect Analyze (FMEA), diketahui penyebab kecacatan sangat serius dikarenakan material dengan nilai Risk Priority Number (RPN) sebesar 84. Sehingga dengan menggunakan kriteria penilaian RPN diketahui bahwa kecacatan yang disebabkan oleh material tergolong sedang.  Kata Kunci: Demerit, Failure Mode and Effect Analyze. 


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Astha Sharma ◽  
Neeraj Bhanot ◽  
Ajay Gupta ◽  
Rajeev Trehan

PurposeThis study aims to utilize DMAIC methodology along with value stream mapping and other Lean Six Sigma tools in a major automobile light manufacturing industry to reduce defect rates and increase production capacity in their manufacturing line. The study also proposes a modified framework based on lean principles and FlexSim to identify and reduce waste in the selected industry.Design/methodology/approachA Lean Six Sigma modified framework has been deployed with DMAIC to reduce the defect rate and increase the production rate. Various tools like value stream mapping, brainstorming, Pareto charts, 5S, kanban, etc. have been used at different phases of DMAIC targeting wastes and inventory in the production line. Also, a simulation model has been utilized for the automobile light manufacturing industry to improve the machine utilization time with varying batch sizes.FindingsThe results of the study indicated a 53% reduction in defect rates. Thus, there would be an expected improvement in sigma value from 3.78 to 3.89 and a reduction in defects per million opportunities (DPMO) from 11,244 to 8,493. Additionally, simulation model using FlexSim was developed, and the optimum ordering batch size of raw material was obtained. It was also analyzed that idle time for various stations could be reduced by up to 30%.Practical implicationsThe utilized framework helps identify defects for managers to increase production efficiency. The workers, operators and supervisors on the production line also need to be trained regularly for identifying the areas of improvement.Originality/valueThe modified Lean Six Sigma framework used in this study includes FlexSim simulation to make the framework robust, which has not been used with LSS tools in the literature studied. Also, the LSS finds very less application in the manufacturing domain, considering which this study tends to add value in existing literature taking a case of an automobile light manufacturing industry.


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