Future State Value Stream Maps

2017 ◽  
pp. 146-155
Keyword(s):  
Value Stream ◽  
Future State

scholarly journals Improving Quality Control Process Through Value Stream Mapping

2018 ◽  
Vol 7 (2.29) ◽  
pp. 219
Author(s):  
Zulfa Fitri Ikatrinasari ◽  
Dan Kosasih
Keyword(s):  
Quality Control ◽  
Lead Time ◽  
Value Added ◽  
Maximum Efficiency ◽  
Value Stream Mapping ◽  
Process Time ◽  
Value Stream ◽  
Current State ◽  
Future State ◽  
Quality Control Process

PT. AEMI is one of the growing electronic component manufacturing company. By this time, Kaizen project has been run and managed to become a culture in PT AEMI. However, the project has not integrated, comprehensive and not yet has a long-term goals. Implementation of value stream mapping (VSM) in PT AEMI is expected to make Kaizen projects more focused and to produce increasing of the maximum efficiency. In addition, VSM Kaizen is believed to make the those programs more integrated, effective and comprehensive. This study aims to: (1) create a current state mapping in the Department of Quality Control PT. AEMI, (2) identify wastes in the Department of Quality Control PT.AEMI, (3) create a future state mapping at the Department of Quality Control PT. AEMI, (4) make a plan of improvement and analyzing the application. Stages of the study were as follows: (1) identification of work processes, (2) collect and analysis of work process time, (3) analysis of the current state mapping, (4) calculate of lead time and process time, (5) analysis of value added and non value-added activities, (6) analysis of wastes, (7) make a plan of future state mapping, (8) improvement design (improvement planning), (9) implementation of improvement, (10) analysis of the implementation of improvements. The results of this study are: 1) current state mapping at QC Department shows that the total lead time of 848 minutes where there is non-value added activity of 778 minutes. 2) identify waste on the handling process where the product movement from assembly to QC for 2 minutes, movement transactions from assembly to QC for 479 minutes and the waiting time at  inspection area for 727 minutes. 3) future state mapping at QC Department shows that the total lead time of 516.5 minutes where there is non-value added activity of 446.5 minutes. 4) the improvement to do is to change the lay out where final inspection is moved from QC to manufacturing so as to result in reduce of non-value added activity by 46%. 

scholarly journals Perbaikan Efisiensi Jalur Layanan Pasien Rumah Sakit dengan Menggunakan Pendekatan Lean Healthcare

2020 ◽  
Vol 3 (4) ◽  
pp. 509-521
Author(s):  
Wresni Anggraini ◽  
Anifah Naswan Ilhamda
Keyword(s):  
Value Added ◽  
Root Cause Analysis ◽  
Value Stream Mapping ◽  
Cause Analysis ◽  
Value Stream ◽  
Root Cause ◽  
Current State ◽  
Future State ◽  
Lean Healthcare ◽  
Cycle Efficiency

Standar pelayanan minimal rumah sakit tentang waktu tunggu untuk rawat jalan yang ditetapkan oleh Kemenkes Nomor. 129/Menkes/SK/II/2008 adalah tidak lebih dari 60 menit.  Masalah yang dihadapi oleh Poli Tulip Rumah Sakit X Pekanbaru adalah waktu menunggu pasien lebih dari 60 menit.  Tujuan dari penelitian ini adalah memberikan usulan perbaikan untuk mengurangi waktu tunggu pasien.. Metode yang digunakan pada penelitian ini adalah  lean healthcare menggunakan analisis Value Stream Mapping (VSM) untuk menentukan nilai Process Cycle Efficiency (PCE). Berdasarkan current state value stream mapping nilai PCE saat ini adalah 16,85%, ini berarti efisiensi lini pada Poli Tulip Rumah Sakit X Pekanbaru masih sangat rendah. Proses usulan perbaikan efisiensi lini dengan cara mengidentifikasi dan mengurangi non value added activity dan waste yang paling sering terjadi pada proses pelayanan pasien. Ditemukan waste yang berpengaruh menyebabkan waste delay adalah waste unnecessary movement dan lost oppurtunity to retain or win customers yaitu sebesar 22,11%. Untuk mencari akar penyebab waste dilakukan root cause analysis. Akar penyebab masalah dari waste yang terjadi di lini pelayanan pasien bersumber dari faktor individual pegawai dan manajerial Rumah Sakit. Simulasi future state value stream mapping dengan menggunakan ARENA dilakukan untuk menguji usulan perbaikan, didapatkan  nilai PCE harapan sebesar 36,18 %, yang berarti dengan usulan perbaikan yang diberikan telah meningkatkan efisiensi jalur layanan pasien di Poli Tulip sebesar 19,33%.

scholarly journals PERANCANGAN ALOKASI PENYIMPANAN DI GUDANG BAHAN BAKU PADA DIVISI ALAT PERKERETAAPIAN PT PINDAD (PERSERO) UNTUK MENGURANGI WAKTU DELAY MENGGUNAKAN PENDEKATAN ANALISIS FSN DAN CLASS BASED STORAGE POLICY

2016 ◽  
Vol 3 (03) ◽  
pp. 48 ◽  
Author(s):  
Yurinda Amalia ◽  
Ari Yanuar Ridwan ◽  
Budi Santosa
Keyword(s):  
Value Added ◽  
Brake System ◽  
Value Stream Mapping ◽  
System Delay ◽  
Value Stream ◽  
Future State ◽  
Air Brake System

PT Pindad merupakan perusahaan manufaktur di bawah Badan Usaha Milik Negara (BUMN) yang memproduksi produk militer dan produk komersial. PT Pindad memiliki beberapa gudang, salah satunya adalah gudang Divisi Alat Perkeretaapian yang menyimpan berbagai bahan baku untuk memproduksi produk air brake system. Delay terjadi aktivitas storing dan picking, hal ini disebabkan karena adanya proses searching. Penempatan produk secara random oleh operator, menyebabkan alokasi penyimpanan SKU pada tempat penyimpanan tidak tertata rapi dan teratur. Langkah awal yang dilakukan adalah memetakan seluruh proses bisnis dan aktivitas yang terdapat pada gudang Divisi Alat Perkeretaapian PT Pindad dengan menggunakan value stream mapping (VSM) dan process activity mapping (PAM) sehingga didapatkan waktu proses dan value dari masing-masing aktivitas. Untuk itu dilakukan alokasi penyimpanan produk agar mengurangi waktu non value added dengan pengklasifikasian menggunakan analisis FSN, kemudian dilakukan slotting dan zonafikasi untuk menentukan area penempatan barang untuk-untuk masing-masing SKU berdasarkan klasifikasi. Setelah dilakukan pengklasifikasian, slotting dan zonafikasi, maka langkah selanjutnya adalah merancang future state map perancangan usulan, sehingga didapatkan disimpulkan waktu delay menurun 22% dari total waktu keseluruhan waktu proses yaitu 846,26 detik atau 14,10 menit, dan penurunan persentase non value added sebesar 17%.

scholarly journals MEMINIMASI PEMBOROSAN DENGAN LEAN MANUFACTURING PADA PROSES PRODUKSI DI PT. IE

2021 ◽  
pp. 1451
Author(s):  
Ahmad Ahmad ◽  
Helena JK ◽  
Andrean Yonathan
Keyword(s):  
Waiting Time ◽  
Cycle Time ◽  
Lean Manufacturing ◽  
Lead Time ◽  
Fault Tree Analysis ◽  
Value Stream Mapping ◽  
Tree Analysis ◽  
Value Stream ◽  
Current State ◽  
Future State

PT. IE is engaged in the business of making Lighting and Lampposts. Based on observations and interviews, there are still some wastes that arise in the flow of the production process, among which there are still many wastes of waiting time, transportation, movement and inventory. These wastes cause the product completion time to be longer and the resulting quality decreases. To eliminate or reduce waste, it is necessary to apply Lean Manufacturing. Lean Manufacturing is a systematic approach to eliminating waste and changing processes by identifying and reducing waste with continuous improvement and striving to create a production flow along the value stream by eliminating all forms of waste and increasing the added value of products to customers. From the Pareto diagram, it is found that transportation waste has the highest percentage of 26.21%, waiting time is 21.38%, motion waste is 19.31% and waste inventories are 15.17%. while the results of the Value Stream Mapping Current State Map mapping obtained a production lead time of 7,680 seconds and a total cycle time of 6,660 seconds and a PCE Current State Map value of 53.09%. Identify the root causes of waste using Fishbone diagrams, 5 Why Analysis, 5W+1H, Fault Tree Analysis and FMEA. After corrective actions have been taken, based on the Value Stream Mapping Future mapping there is a decrease in production lead time to 5,220 seconds and a decrease in total cycle time to 4,860 seconds and an increase in PCE Future State Map to 68.10% so that there is an increase of 15.01% which shows The company's production process has become more Lean.PT. IE bergerak dalam bisnis pembuatan Lighting dan Tiang Lampu. Berdasarkan observasi dan wawancara, masih terdapat beberapa pemborosan (waste) yang timbul di aliran proses produksi di antaranya masih banyak terjadi pemborosan-pemborosan waktu tunggu, transportasi, gerakan dan inventori. Pemborosan-pemborosan tersebut menyebabkan waktu penyelesaian produk menjadi lebih lama dan kualitas yang dihasilkan menurun. Untuk menghilangkan atau mengurangi pemborosan diperlukan adanya penerapan Lean Manufacturing.Lean Manufacturing merupakan pendekatan sistematik untuk mengeliminasi pemborosan dan mengubah proses dengan cara mengidentifikasi dan mengurangi pemborosan dengan perbaikan kontinu dan berupaya untuk menciptakan aliran produksi sepanjang value stream dengan menghilangkan segala bentuk pemborosan serta meningkatkan nilai tambah produk kepada pelanggan. Dari diagram Pareto ditemukan waste transportasi memiliki persentase paling tinggi sebesar 26,21%, waktu tunggu  21,38%, waste motion 19,31% dan waste inventories 15,17%. sedangkan hasil pemetaan Value Stream Mapping Current State Map diperoleh production lead time selama 7.680 detik dan total cycle time selama 6.660 detik serta nilai PCE Current State Map sebesar 53,09%. Identifikasi akar permasalahan pemborosan menggunakan diagram Fishbone, 5 Why Analysis, 5W+1H, Fault Tree Analysis dan FMEA. Setelah dilakukan tindakan–tindakan perbaikan, berdasarkan pemetaan Value Stream Mapping Future ada penurunan production lead time menjadi 5.220 detik dan penurunan total cycle time menjadi 4.860 detik serta ada peningkatan PCE Future State Map menjadi 68,10% sehingga ada peningkatan 15,01% yang menunjukan proses produksi perusahaan telah menjadi lebih Lean.

scholarly journals Increasing Productivity by Reducing Manufacturing Lead Time through Value Stream Mapping

2012 ◽  
pp. 225-229
Author(s):  
Renu Yadav ◽  
Ashish Shastri ◽  
Mithlesh Rathore
Keyword(s):  
Lead Time ◽  
Value Added ◽  
Value Stream Mapping ◽  
Mapping Technique ◽  
Inventory Level ◽  
Lead Times ◽  
Business World ◽  
Value Stream ◽  
Current State ◽  
Future State

To survive in today’s competitive business world, companies require small lead times, low costs and high customer service levels. As such, companies pay more effort to reduce their manufacturing lead times. Value stream mapping (VSM) technique has been used on a broad scale in big companies such as Toyota and Boeing. This paper considers the implementation of value stream mapping technique in manufacturing helical springs by railway spring manufacturing company. It focuses on product family, current state map improvements and the future state map. The aim is to identify waste in the form of non value added activities & processes and then removing them to improve the performance of the company. Current state map is prepared to describe the existing position and various problem areas.. Future state map is prepared to show the proposed improvement action plans. The achievements of value stream implementation are reduction in lead time, cycle time and inventory level. It was found that even a small company can make significant improvements by adopting VSM technology. It was concluded that if we adopt the VSM technique the company could reduce the manufacturing lead time from 36.86 days to 34.06 days.

Improving the performance of a Malaysian pharmaceutical warehouse supply chain by integrating value stream mapping and discrete event simulation

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmed Abideen ◽  
Fazeeda Binti Mohamad
Keyword(s):  
Supply Chain ◽  
Lead Time ◽  
Discrete Event ◽  
Integrated Approach ◽  
Value Stream Mapping ◽  
Content Type ◽  
Value Stream ◽  
Future State ◽  
The Future ◽  
Value Stream Map

Purpose Lean implementation is vastly incorporated in core manufacturing processes; however, its applicability in the supply chain and service industry is still in its infancy. To acquire performance excellence and thrive in the global competitive market, many firms are adopting newer methodologies. But, there is a stringent need for production simulation systems to analyze supply chains both inbound and outbound. The era of face validation is slowly disappearing. Lean tools and procedures that provide future state assumptions need advanced tools and techniques to measure, quantify, analyze and validate them. The purpose of this study is to enable dynamic quantification and visualization of the future state of a warehouse supply chain value stream map using discrete event simulation (DES) technique. Design/methodology/approach This study aimed to apply an integrated approach of the value stream mapping (VSM) and DES in a Malaysian pharmaceutical production warehouse. The main focus is diverted towards reducing the warehouse supply chain lead time by initially constructing a supply chain value stream map (both present state and future state) and integrating its data in a DES modelling and simulation software to dynamically visualize the changes in future state value stream map. Findings The DES simulation was able to mimic the future state lead time reductions successfully, which assists in better decision-making. Improvements were seen related to total lead time, process time, value and non-value-added percentage. Warehouse performance metrics such as receiving, put away and storage rates were substantially improved along with pallet processing time, worker and forklift throughput usage percentage. Detailed findings are clearly stated at the end of this paper. Research limitations/implications This study is limited to the warehouse environment and further additional process models and functional upgrades in the DES software systems are very much needed to directly visualize and quantify all the possible Lean assumptions such as radio frequency image identification/Andon (Jidoka), 5S, Kanban, Just-In-Time and Heijunka. However, DES has a leading edge in extracting dynamic characteristics out of a static VSM timeline and capture details on discrete events precisely by picturizing facility modification and lead time related to it. Practical implications This paper includes all the fundamental pharmaceutical warehouse supply chain processes and the simulations of the future state VSM in a real-life context by successfully reducing supply chain lead time and allowing managers in inculcating near-optimal decision-making, controlling and coordinating warehouse supply chain activities as a whole. Social implications This integrated approach of DES and VSM can involve managers and top management to support the adoption of anticipated changes. This study also has the potential to engage practitioners, researchers and decision-makers in the warehouse industry. Originality/value This study involves a powerful DES software package that can mimic the real situation as a virtual simulation and all the data and model building are based on a real warehouse scenario in the pharmaceutical industry.

scholarly journals WASTE ELIMINATION USING VALUE STREAM MAPPING AND VALSAT

2017 ◽  
Vol 3 (2) ◽  
Author(s):  
Dion Avellino Suyanto ◽  
Sunday Noya
Keyword(s):  
Lean Manufacturing ◽  
Lead Time ◽  
Value Stream Mapping ◽  
Value Stream ◽  
Current State ◽  
Future State ◽  
Analysis Tools ◽  
Fierce Competition ◽  
Cycle Efficiency ◽  
Working Efficiency

Fierce competition encourages companies to make continuous improvements to achieve better working efficiency. One method to improve the working efficiency is using the concept of lean manufacturing. The efficiency of the existing work in PT. Rimba Kencana is still not good because there are many processes that are not uniform and because of that, production lead time is increased. By using value stream mapping and value stream analysis tools (VALSAT), the production processes in the company are mapped into the current state mapping and future state mapping. In the current state mapping, the total value of production lead time is 59.49 days and the value of process cycle efficiency (PCE) is 0.013%. After doing improvement on welding department, the total value of production lead time decreased to 48.22 days and the value of process cycle efficiency becomes 0.016%. Keywords: Efficiency, Value Stream Mapping, Value Stream Analysis Tools

Design of Simulation Tools for Trainig Programs in Lean Manufacturing

2006 ◽  
Author(s):  
Alok Verma ◽  
Jyotsna Devulapalli
Keyword(s):  
Lean Manufacturing ◽  
Physical Simulation ◽  
Value Stream Mapping ◽  
Pull System ◽  
Simulation Tools ◽  
Value Stream ◽  
Current State ◽  
Future State ◽  
Simulation Based ◽  
Learn By Doing

A physical simulation based activity in the form of a board game has been developed to explain the concepts of Value Stream Mapping (VSM) and analysis. The activity explains the basic concepts of Value Stream Mapping, drawing of the Current state map, development of Future state map, and implementation of the future state. Simulation activity is run in three phases and the results of implementing various lean tools are observed. Effects of various tools like the Supermarket, Kanban, and Pull system are observed in a learn-by-doing environment. This simulation activity can be used to compliment training programs in Lean manufacturing.

Extension of the Value Stream Mapping Approach to the Comprehensive Design of a Lean Sheet Metal Manufacturing System: An Industrial Case Study

2013 ◽  
Vol 549 ◽  
pp. 537-544 ◽  
Author(s):  
Dominik T. Matt
Keyword(s):  
Sheet Metal ◽  
Material Flow ◽  
Manufacturing System ◽  
Design Procedure ◽  
Value Stream Mapping ◽  
Product Families ◽  
Value Stream ◽  
Future State ◽  
Value Streams

This paper reports the practical experiences made with extending the Value Stream Mapping (VSM) approach to the comprehensive design of a lean manufacturing system for the series production of sheet metal cable tray systems. The use of VSM for analyzing the production of repetitive units has proven to be successful in different industries. It is based on a classification of all products into product families and creates one current and future state map for each product family. This approach and the related guidelines for future state optimization are very helpful but not sufficient for a comprehensive manufacturing system (re) design, because the relation between product families value streams, the overall material flow optimization, as well as the segmentation and layout of factory remains unclear. Thus, the purpose of this paper is to develop a design procedure based on the investigation of an industrial case that allows the integrated optimization of the single value streams, their compilation in material-flow optimized production segments, and finally the (re) design of production logistics and factory layout. The findings of this research are limited due to the focused nature of a case study based research. However, the obtained results encourage assuming its transferability to similar problems.

A conceptual framework for waste identification and reduction in Nigerian sandcrete blocks production process

2019 ◽  
Vol 19 (3) ◽  
pp. 405-423 ◽  
Author(s):  
Adefemi Aka ◽  
Abosede Adebisi Bamgbade ◽  
Ibrahim Saidu ◽  
Oladimeji Moses Balogun
Keyword(s):  
Production Process ◽  
Building Blocks ◽  
Value Stream Mapping ◽  
Long Distance ◽  
Content Type ◽  
Value Stream ◽  
Process Waste ◽  
Future State ◽  
Study Context ◽  
Tools And Techniques

Purpose Non-value adding activities or waste have been a major challenge for the construction industry. Researchers worldwide have investigated how such activities can be reduced or overcome in the industry. However, much has not been done regarding waste in the production process of building blocks. Therefore, this study aims to investigate the various waste in sandcrete blocks production process (SBPP). The study also aims to find out the causes of the waste and their impacts on the factory performance. Design/methodology/approach To achieve the aims of this study, a qualitative study was conducted in five sandcrete blocks firms in Minna. Physical observation and interviews were the main instruments used for data collection. The data obtained were analyzed through content analysis. Samples of blocks (low standard only) were also taken to the laboratory for compressive and porosity tests. Thereafter, questionnaires were administered to other sandcrete blocks producers in six firms. The essence of this was to investigate the applicability of the identified waste in other factories in the study context and for further data analysis. Findings Typical forms of waste in SBPP are excessive stocking of sand and cement, long distance covered from the store to the mixing or production location, excessive quantity or over design of materials and over vibration or compaction of the newly produced blocks. It is anticipated that adoption of lean concepts, tools and techniques in the production of sandcrete blocks will help to eradicate the identified waste in the process and stimulate a future state value stream mapping (VSM). The practicality of the expected future state VSM is presently being investigated by one of the five firms in the study context. Research limitations/implications The findings of the study mainly provide further insights on the various process waste in Nigerian sandcrete blocks production. Practical implications The study provides knowledge on how lean thinking can be adopted to identify and reduce waste in SBPP. Such knowledge may be beneficial to the present and prospective sandcrete blocks producers. The study also provides insight on how the overall cost of production of sandcrete blocks and the quantity of CO2 that is being released into the atmosphere in the production process can be reduced. The VSM in the proposed framework also serves as a tool that can be globally adopted for waste identification by producers of other forms of blocks such as bricks. Originality/value This paper satisfies all the tenets of originality as it has not been previously published and all the information obtained from other studies have been duly referenced. The study is also original as it is first in the study context to propose for a lean framework that can be used to reduce waste in SBPP.

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