En säsongsbaserad tillverkning kan innebära svårigheter för företag att möta kundefterfrågan och hålla lagernivåerna nere. En strategi för att möta en varierande efterfrågan är automatisering, vilket kan leda till en högre produktivitet och kapacitet, samtidigt som det kan begränsa flexibiliteten. För ökad flexibilitet kan gradvis automatisering av en anläggning göra det möjligt att integrera processer och få en stabil tillverkning. Arbetets syfte är att skapa förståelse för hur en förändring av en del av en produktionslina påverkar flödet i produktionen, med hänsyn till förändrad maskinutrustning och kapacitet. Målet med arbetet är att skapa en modell som möjliggör produktionsplanering i ett flöde där empirisk data inte är tillgänglig. För att svara på syftet skapades frågeställningar för att behandla hur en produktionsplanering kan göras som är baserad på empirisk teoretisk data, hur flöden bör kombineras samt hur olika faktorer påverkar buffertar och ledtider i en produktion. Genom att använda teorier om lean production och lager kunde en matematisk modell skapas. Resultatet blev en modell som med hjälp av kända variabler kunde beräkna okända samt skapa en matematisk produktionsplanering. Slutsatsen visar på att det är möjligt att skapa en produktionsplanering baserat på empirisk teoretisk data, och att modellen är tillämpningsbar även på andra industrier eftersom den är anpassningsbar. / A season based production may lead to difficulties for companies to fulfill customer demand and to keep stocks to a minimum. Changing the production can lead to a higher productivity and capacity, meanwhile it may limit flexibility. A gradual automation makes it possible to interact different processes and to make a stable production. The purpose of this project is to gain an understanding of how a changed part of a production line affects the production flow, with changed capacity and machine equipment taken into account. The goal is to create a model that enables production planning in a flow where empirical data is not available. To answer the purpose, questions of the issue were created with a focus on how a production plan can be done with only empirical theoretical data, how flows can be combined and finally how factors affect the buffers and lead time. By combining theories of lean production and inventory, a mathematical model could be created. The result was a model that with the help of known variables could figure out unknown and thereby create a mathematical production plan. The conclusion shows that it is possible to create a production plan based on empirical theoretical data, and that the model can be applied to other industries as well because of its customizability.

A few years back, almost every garment manufacturer industry started implementing “lean Manufacturing.” Garments manufacturing is one of the oldest manufacturing systems, compromising a higher number of critical operations. The main performance indicators in the garment industry are the lead time, production rate, more wastage, and labor intensity. To remain competitive in the global market, the most important task for garments manufacturers is to reduce lead time and waste, which is also essential for productivity and long-term stable development. A headlong rush to reduce lead time and waste by turning into lean and responsive manufacturing has created an urgency for researchers and practitioners to apply new tools and techniques for discovering wastages. This thesis focuses on the application of value stream mapping in the garments industry to implement lean manufacturing system. Value stream mapping (VSM) helps visualize Material Flow and Information Flows of all components, cycle times, and utilization of resources. VSM is a proven lean technique in identifying and eliminating wastes in accommodation with similar or identical product routings. The research approach adopted in this thesis is abductive. Qualitative has been collected by the structured and semi-structured interviews. A single case observation has been made to use VSM as a lean tool to achieve productivity improvement at a selected garment company. Both current and future state mapping of cutting section and sewing line scenarios are discussed using value stream concepts. This was analyzed along with the process lead time as standard minute value (SMV) calculation and two gaps as productive time and non-productive.  Finally, gain in productivity (increase output pcs, less worker, less working hours), increased productive time, and reduce non-productive time was calculated.

The intent of this thesis is to design a lean production process for a manufacturing plant owned by TOS KUŘIM - OS. a.s. The manufacturing process is analyzed using the value stream mapping method. The method is used to identify inefficient steps in the production process. Furthermore, the thesis offers solutions to the recognized problems, aiming to increase added value and minimize waste.

The diploma thesis deals with the proposal to increase the productivity of business processes. For selected processes, it analyzes the current state using the Six Sigma method. Time measurement will be made for individual processes and it identifies bottlenecks. In addition, proposals will be presented in order to improve the current state.

The master thesis concerns a project to streamline the production process by designing an assembly line to produce glass doors. The aim of the project is to increase the productivity due to the increasing demand of customers for products. The production process is analysed by mapping the value stream and finding a suitable solution using industrial engineering and lean manufacturing methods. In order to ensure successful project implementation project management tools and methods are used. The project also includes economic evaluation of the investment.

Aim of diploma thesis “Lean production of electronics” is to apply lean production on workplaces in concrete company. Object of thesis is to orientate in lean production and apply its individual methods on workplace. First part of thesis is dealing with theoretical preparation, understanding lean production and methods of lean production. Second part is dealing with analyzing production processes, application of methods of lean production and designing workplaces.

The aim of this semestral thesis is to use the Value Stream Mapping (VSM) as visual aids to describe streamlining the production process of vibration welding machines in Emerson Industrial Automation, in Nove Mesto nad Vahom. In this thesis is contained description and comparison of the software support for the VSM. Theoretical part describes the causes of lean production and discusses the purpose of mapping of the value stream and variables associated with it.

This thesis analyzes the current situation in company Očenášek. On the basis of the process maps, chronometrical results and computer simulations is compiled value stream mapping current status, which highlights the trouble spots of the process. The proposed solution is drawn up a new value stream mapping, which serves as the basis for evaluation of the proposed solution.

The thesis discusses the possibility of production process optimization within the company Česká zbrojovka, a.s. In the introduction part I have introduced the company, the subsidiaries, the manufacturing portfolio and economic indicators. The theoretical part deals with basis necessary for the practical part. In the latter, I have suggested solutions based on the initial analysis, mapping and current state analysis in order to optimize and improve the monitored production process. In the final part of the thesis I have focused on the evaluation of the benefits and conditions of the bare implementation.

Traditional value stream mapping (VSM) is used to identify non-value-added (NVA) activities in lean production systems. However, VSM lacks flexibility and responsiveness due to its static nature, which limits its usage in complex and flexible production environments. Furthermore, in a production system, the internal logistics and production value streams are interconnected to each other. Therefore, they face the challenges of same nature such as poor material handling, lack of flexibility and lack of responsiveness. These challenges are disseminated from poor integration of internal logistics and production value streams. The lack of flexibility in VSM is discussed in previous research works to some extent but its lack of responsiveness has not received much attention. Similarly, poor material handling and lack of flexibility of internal logistics system are discussed extensively in previous research works; however, the lack of responsiveness of internal logistics has received very little attention. Furthermore, poor integration of internal logistics and production value streams has not received any attention in the previous research works. To overcome aforementioned challenges, this thesis emphasizes on combining digital technologies (e.g., RFIDs, sensors, barcodes, simulation and intelligent interfaces) with VSM and internal logistics system. However, there is very limited research that addresses improvement potentials in VSM and internal logistics system through digitalization. Therefore, this thesis aims to fill this gap by investigating the improvement potentials of digitalization for both value stream mapping and the internal logistics. In this regard, firstly the core challenges in value stream mapping and internal logistics system are identified. As a second step, possible improvement opportunities are identified in these two areas to increase the productivity of the production system through the adoption of digitalization. A qualitative research approach is performed in data collection methods such as observations and interviews. Furthermore, an empirical study is performed to provide an overview of the current production value streams and internal logistics system at a case company. The study concludes that the combination of VSM with simulation and real time data collection is vital to increase the flexibility and responsiveness of VSM. The improved flexibility and responsiveness of VSM will make it efficient to identify non-value-added activities. It is also discussed and demonstrated that the integration of internal logistics and production value streams can be improved through implementation of digital technologies such as AGVs, RFIDs/barcodes, IoT, data analytics and intelligent algorithms in the context of Industry 4.0. The improved integration of internal logistics and production value streams can improve the productivity of the production system to a large extent.