Day 1 | Day 2

08:30 - 09:10


Welcome and introduction to the conference.

09:15 - 10:00

Trends of produtivity growth and the role of manufacturing

Lena HagmanSenior economist, Association of Swedish Engineering Industries (Teknikföretagen)

10:00 - 10:30


10:30 - 11:45

Workshop: Lifelong learning and developing shared modular education between Academia and Industry - the Civilingenjör 4.0 pilot project

Moderator: Bengt-Göran Rosén, Halmstad University

   10:30 - 11:45

Paper session stream I 

Special session S1 -  Changeable and reconfigurable production

Chair: Carin Rösiö, JTH

10:30 - 10:55 Evaluation of Reconfigurability in Brownfield Manufacturing Development
Boldt et al., JTH


To enable manufacturing firms adapting their manufacturing capabilities to meet the market demands in a cost-efficient way the concept of reconfigurable manufacturing was initiated. A majority of the research within this field targeting production development has been focused on greenfield development methods, enabling the developers to ignore context and constraints that brownfield development methods cannot. The greenfield focus in reconfigurability research has resulted in how to find optimal solutions to reconfiguration problems. Taking a brownfield focus on reconfigurable manufacturing development would enable to move step-by-step towards a reconfigurable manufacturing strategy instead of the all-or-nothing approach of greenfield development methods. This study investigates through a literature review what assessment tools and methods that exists in literature, and classifies them into four categories, i.e. Configuration evaluation, Element of evaluation, Pre-design evaluation, and Potential evaluation. It is found that there only exist two assessment tools for potential evaluation. Through a multiple case study, the potential evaluation process is evaluated, and three gaps is identified, i.e. lack of connection to strategy, lack of predefined goals for reconfigurability, and the difficulty in interpreting the result of the analysis. These gaps are then address in a new conceptual assessment process for assessing the potential of reconfigurability. The conceptual assessment process links the six reconfigurability characteristics throughout the whole assessment process to link manufacturing strategy to the improvement suggestions.

10:55 - 11:20 Reconfigurable Manufacturing: How Shop Floor Digitalisation Supports Operators in Enhancing Diagnosability
Napoleone et al., Denmark


Manufacturing companies are currently struggling with the need to deal with ever changing marker requirements and technological advances. They can develop the reconfigurability capability in their factories in order to deal with such context. Moreover, companies can implement shop floor digitalisation to enhance their reconfigurability. This paper sustains two arguments: (i) the possibility to enhance diagnosability as a critical reconfigurability characteristic through shop floor digitalisation; and (ii) the relevance of the human role in reaching diagnosability in a digitalised shop floor. The paper first presents a literature review and based on this, aspects of shop floor digitalisation supporting operators in enhancing the diagnosability are identified and synthesized in a 3-e model (error reduction, ergonomics, and easiness). Secondly, insights from a case study are interpreted through the literature-based model in order to both consolidate the theoretical results and emphasize the implications for practitioners. The findings of this paper indicate that the proposed model can support practitioners in taking specific actions in regard to shop floor digitalisation in order to improve operator dependent diagnosability and, in turn, the reconfigurability capability.

11:20 - 11:45 Interconnecting Product And Manufacturing Domains: A Literature Review
Wlazlak et al., JTH


Research on product-process modelling has been significant over the last decade. In this paper, we present a literature review of 13 papers published in journals and conference proceedings between 2012-2019. The purpose of this paper is to review and classify the literature on integrated product-process modelling utilizing ontologies. Specifically, the objectives of the paper are; (1) to develop a classification framework that is based on the existing research on integrated productprocess modelling; (2) to use the classification framework to synthesize what is known in this research area (qualitative issues that have been raised that are useful for both researchers and practitioners); (3) to use the classification framework to propose future avenues in this research area. The classification framework consists of three major categories; namely, (1) integrated product-process model’s application; (2) approaches to modelling; and (3) practical challenges for implementation of integrated product-process models. The classification of the published literature and the analysis provides insights for practitioners and researchers on the creation and accumulation of knowledge in the product-process modelling area and interconnecting of product and manufacturing domains. This paper is intended to highlight the importance of integrated product-process models utilizing ontologies and identify areas for future research areas.

10:30 - 11:45

Paper session stream II

Paper session II:B - Flexible production

Chair: Kicki Säfsten, JTH

10:30 - 10:55 Exploring the Capabilities of Industrial Collaborative Robot Applications
Andersson et al., MDH


The increase in customization is pushing companies to use more advanced automation technologies in their production lines. Yet, assembly operations are predominantly performed by humans because of their ability to be flexible. The emergence of industrial collaborative robots provides an opportunity to have robots work alongside humans in a flexible and collaborative application. The aim of this study is to explore the industrial collaborative robot capabilities in a collaborative application compared to traditional robot applications. This interview study draws data from four companies with experience in industrial collaborative robot applications. The companies involved in this study experienced that there are several benefits of using an industrial collaborative robot but challenges still exist, in particular related to usability and the robot integration process.

10:55 - 11:20 Cost-driven Informed Decisions using Loss Analyses from Production Monitoring
Windmark et al., LU


When embarking a cost reduction strategy, it is important to know what causes the costs, how the costs are connected to value adding and to non-value adding activities, and thereby conduct a knowledge-intensive production development. This paper present a method on how to connect costs to production losses and how they can relate to different cost factor groups. The method uses a digital tool that was designed in collaboration with a medium-sized tool manufacturing company, using several manufacturing operations in sequence. The tool is designed to be used for management monitoring and for strategic decisions. The method uses a performance-based cost model for discrete part manufacturing and incorporates an approximation when dividing the calculated loss costs. To ensure the accuracy of the model a sensitivity analysis was conducted. The result shows that only smaller errors occur due to this approximation and amount to a few percent when extremely high losses are in effect. The novelty of the paper is the variation of the cost model, ensuring that costs can be divided on each of the cost factor groups and investigated performance parameter. In addition, the designed layout of the result presentation in the digital tool, is a further development of the previous presented production performance matrix, which contribute to a comprehensive overview used for production monitoring

11:20 - 11:45 Planning for Nation Wide Dissemination of Robotics to SMEs
von Axelsson et al., Vinnova


This paper describes how a special assignment from the Swedish government was carried out to support small and medium sized enterprises in implementing automation and robotics. The focus of this paper is to investigate i) how insights and knowledge has been transferred and ii) how the ability of integrators and advisors has been increased. Within the project Pilot project automation challenge in the robot leap (PILAR), 84 pre-studies and 40 indepth studies were carried out. In PILAR a methodology was developed, and a way of working was tested where coaches in four regionally defined nodes in Sweden visited companies and had advisor support through telephone and video. The project results indicate that insights and knowledge had been increased in several companies and that integrators and advisors have increased their ability to stimulate automation solutions. In addition, eight recommendations on how to successfully perform a nationwide dissemination of robotics is presented.

10:30 - 11:45

Paper session stream III

Paper session III:G1 - Advanced and optimized components, materials and manufacturing

Chair: Anders Jarfors, JTH

10:30 - 10:55  Complex-network-based Cyber-physical Production Systems subject to Cascading Failures
Wang et al., KTH


The manufacturing industry is facing multi-dimensional, ever-growing challenges ranging from the lack of real-time manufacturing resource data, the inability of catching production exceptions, to the occurrence of cascading failures. This paper proposes a network-based cyber-physical production system to model, diagnose and control complex production systems subject to cascading failures. The goal is to study and characterise the evolution of cascading failure mechanisms and further mitigate the vulnerability of the manufacturing system. This is achieved through the deployment and synergistic integration of the Internet of technology with the reliability importance theory. The paper contributes to the network reliability theory and applications by proposing new importance measures and strategies to support the operation of cyber-physical production systems.

10:55 - 11:20 The Effect of Grain Size on the Susceptibility towards Strain Age Cracking of Wrought Haynes® 282®
Hanning et al., Chalmers


The effect of grain size on the suceptibility towards strain age cracking (SAC) has been investigated for Haynes® 282® in the tempeature range of 750 to 950°C after isothermal exposure up to 1800s. Grain growth was induced by heat treating the material at 1150°C for 2h, resulting in a fourfold increase in grain size. Hardness was significanlty reduced after heat treatment as compared to millannealed material. Large grain size resulted in intergranular fracture over a wider temperature range than small grain size material. Ductility was lowest at 850°C, while lower values were observed to be correlated to increased grain size. The rapid formation of grain boundary carbide networks in Haynes® 282® is found to be not able to compensate for higher local stresses on grain boundaries due to incresed grain size.

10:30 - 11:45

Paper session stream IV

Paper session IV:E1 - Circular production systems and maintenance

Chair: Erik Sundin, LiU

10:30 - 10:55  Screening Environmental Impact Reduction Enabled by Brass Reclamation through Hot Forging Operations
Johansson et al., LU


The traditional method for recycling brass chips is to send the scrap back to the material manufacturer for re-melting. Alternatively, brass chips can be reclaimed through hot forging operations at the production site. As an initial screening of the environmental impact of this novel reclamation method, the impacts of this new method was compared to conventional brass production (including recycling) for a specific part. These two production routes were compared in terms of cumulative energy demand and climate change impact. The comparison between the two production routes showed that the new reclamation method reduced the cumulative energy demand with 29 % and climate change impact with 30 % for production of a specific part compared to conventional recycling. It is, however, important to note that the material produced using hot forging reclamation method have slightly lower mechanical properties as compared to the traditionally recycled material. Currently the novel recycling method is only tested in lab scale and therefore, further studies are needed in order to fully assess the environmental impacts of the new reclamation method compared to conventional brass production

10:55 - 11:20 The Possibilities of Improving Maintenance through CMMS Data Analysis
Salonen et al., MDH


Maintenance of production equipment is one of the most critical support actions in manufacturing companies for staying competitive. More recently, with the introduction of Industry 4.0, academia, as well as industry, put a lot of effort into condition monitoring in order to implement predictive maintenance. Most stakeholders agree that maintenance need to be more data-driven. However, in order to draw true advantage of data-driven decisions, it is necessary for manufacturing companies to have implemented basic maintenance to a high standard in order to reduce for example: recurring failures, human errors, unsafe machines, etc. The realtime data can then be used to improve efficiency of maintenance tasks and schedule that adds value to the processes. In manufacturing industry, maintenance actions are commonly administered in a Computerized Maintenance Management System, CMMS, still, rather few companies analyze their maintenance records. Behind these data there is often a treasure of improvement opportunities that could be used to improve basic maintenance. The purpose of this paper is to explore how historical data from a CMMS can be used in order to improve maintenance effectiveness and efficiency of activities. In order to exemplify the possibilities of analyzing CMMS records, a case study has been performed in a plant, manufacturing driveline components for heavy construction vehicles. The study shows that one major obstacle for utilizing the CMMS data is poor description of faults and failures when it comes to work order requests, mostly performed by operators and assemblers, as well as work order reporting, mostly performed by repairmen and maintenance technicians. However, by thorough analysis of well described corrective maintenance, it is possible for industry to understand the nature of the occurring breakdowns and thus, refine the preventive maintenance program in order to further increase the dependability of the production system.

11:20 - 11:45 Exploring Second Life Applications for Electric Vehicle Batteries
Chirumalla et al., MDH


The purpose of the study is to explore an economically viable second life applications for electric vehicles (EV) batteries. There is a common consensus in the automotive industry that the reuse of retired EV batteries—often referred as a second life of a battery—can provide greater economic and sustainability benefits. Although literature acknowledged potential business opportunities with batteries' second life, there are still a lot of uncertainties, making success difficult to realize. In particular, identification of a profitable second life application with a right business model in the battery value chain has become a key success factor. Therefore, a case study, with a mixed research approach, considering both qualitative and quantitative methods, has been conducted in a company that is one of the leading manufacturers in the heavy-duty industrial vehicle industry, which currently is developing their electric vehicle machines with a li-ion battery pack. The study generated and analyzed several different second life concepts to find the most economically viable second life applications. The analysis concluded three second life business concepts in the initial phase. In the later phases, individual business model canvases and different reverse logistics processes were created, mapped, compared, and validated through quantitative analysis. The analysis show that out of three concepts remanufacturing application proved to be the most applicable one for the case company, within a range of 15 years’ time. The paper contributes to the theory of circular business models in the context of EV batteries

11:45 - 13:00


13:00 -14:15

Sandvik Coromant - Factory of the future

Claes Nord - Senior Visitor Experience Specialist, AB Sandvik Coromant

14:15 - 14:45


14:45 - 16:25

Workshop: Best practice in co-production of education and research

Moderators: Malin Löfving, Träcentrum & Jenny Bäckstrand, JTH

14:45 - 16:25

Paper session stream I

Special session S2 - Smart production system design and implementation

Chair: Anna Syberfeldt, HiS

14:45 - 15:10 Collaboration of Smart Device in Cloud Manufacturing: A Case of Active Recommendation Model based on Service Agent
Wang et al., KTH


By the developing and the application of cloud manufacturing, many new business modes based on the IoT, CPS, cloud computing are springing up. It is worthwhile to model a new business mode simulate it to verify the feasibility. In this paper, with a demand of smart devices from a fresh-mix drink company, service agents are used for modeling and a basic comparison model is proposed for the negotiation between service providers to vote for the service provider that best suits the consumer’s demand. A simulation platform that originates from cloud manufacturing is used to simulate the drink ordering, provider negotiation and provider recommendation. Simulation results show that consumers can obtain expected drinks after the negotiations and votes made by providers. Moreover, the system can recommend drinks with different freshness depending on the expiration parameter set by the company.

15:10 - 15:35 Revealing the content of Industry 4.0: a review of literature
Vestin et al., JTH


A fourth industrial revolution is prophesied, and there is a potential for the industrialized world to proactively adapt suitable practices. Despite the large interest from both industry and academia, a drawback with the vast literature on initiatives that tap into the fourth industrial revolution, Industry 4.0 and alike, is the fuzziness when it comes to terminology and content. The terms are mixed up, and sometimes used interchangeable and the constituent parts are not fully described. The purpose of this paper is to present the content of initiatives related to the fourth industrial revolution in a structured manner. This is expected to support understanding for the content of the fourth industrial revolution and thereby facilitate the transformation. The results presented in this paper is based on a traditional literature review. In total 13 relevant review papers were identified. The identified papers were analyzed, and a framework was developed including technologies and design principles. In total, eleven technologies and twelve design principles were identified for Industry 4.0. The most frequently occurring technologies were Cyber physical systems, Internet of Things, and Big data. The most frequently occurring design principles were Smart factory, Service orientation and Sustainability and resource efficiency. A categorization of the content into technologies and design principles clarify and structures the content of Industry 4.0. The developed framework can support academics in identifying, describing, and selecting Industry 4.0 scenarios for further investigations. For practitioners, the framework can give a basic understanding and some guidance in their implementation journey of Industry 4.0.

15:35 - 16:00 A Flexible 4D Printing Service Platform for Smart Manufacturing
Wang et al., KTH


With the extensive application of 3D printing (3DP) in smart manufacturing, 4D printing (4DP), which enhances 3D printed objects with shape morphing ability by using smart materials, has shown significant industrial potential and attracted tremendous attention. One key concern of 4DP is how to effectively and quickly meet different production and application requirements considering the complexity of materials and diversity of stimulus methods. In order to provide a general research platform for 4DP researchers, a flexible 4DP service platform is proposed. Components and modules for building 4DP and test systems are modeled and virtualized to form the different resources. These resources are then integrated virtually or physically to provide some basic functions such as a 3D displacement stage or a visual monitoring system. According to different 4DP requirements, these functions are then encapsulated into services to serve different research. The platform enables a variety of 4DP applications in smart manufacturing environments such as 4D printed magnetic medical robots, test platform for studying the 4DP response, etc. A case study on designing a ferromagnetic 4DP platform based on the service platform is performed to prove the feasibility of the method.

16:00 - 16:25 Data-driven Manufacturing Simulation: Towards a CPS-based Approach
Jeong et al., KTH


Manufacturing simulation has been used as a decision support tool to solve various problems in production systems. However, with the advent of Industry 4.0 and CPS, manufacturing simulation becomes not only a tool for supporting decision-making but also essential for operation, monitoring, and forecasting the production system. In this paper, a traditional approach and a CPS-based approach in manufacturing simulation are compared. In the CPS-based approach, the key processes are divided into 1) data gathering, 2) modeling and simulation, and 3) simulation results analytics and feedback. In addition, a SWOT analysis is conducted to discuss the future application of the manufacturing simulation.

14:45 - 16:25

Paper session stream II

Paper session II:C - Virtual production development

Chair: Kerstin Johansen, JTH

14:45 - 15:10 Using Virtual Reality and Smart Textiles to Assess the Design of Workstations
Rivera et al., HiS


This paper presents a solution that integrates a smart textiles system with virtual reality to assess the design of workstations from an ergonomics point of view. By using the system, ergonomists, designers, engineers, and operators, can test design proposals of workstations in an immersive virtual environment while they see their ergonomics evaluation results displayed in real-time.. The system allows its users to evaluate the ergonomics of the workplace in a preproduction phase. The workstation design can be modified, enabling workstation designers to better understand, test and evaluate how to create successful workstation designs, eventually to be used by the operators in production. This approach uses motion capture together with virtual reality and is aimed to complement and integrate with the use of digital human modelling (DHM) software at virtual stages of the production development process.

15:10 - 15:35 Production Planning and Scheduling Using Machine Learning and Data Science Processes
Modesti et al., Brazil


Increasing manufacturing efficiency has been a constant challenge since the First Industrial Revolution. What started as mechanization and turned into electricity-driven operations has experienced the power of digitalization. Currently, the manufacturing industry is experiencing an exponential increase in data availability, but it is essential to deal with the complexity and dynamics involved to improve manufacturing indicators. The aim of this study is to identify and allow an understanding of the unfilled gaps and the opportunities regarding production scheduling using machine learning and data science processes. In order to accomplish these goals, the current study was based on the Knowledge Development Process – Constructivist (ProKnow-C) methodology. Firstly, selecting 30 articles from 3608 published articles across five databases between 2015 and 2019 created a bibliographic portfolio. Secondly, a bibliometric analysis, which generated comparative charts of the journals’ relevance regarding its impact factor, scientific recognition of the articles, publishing year, highlighted authors and keywords was carried out. Thirdly, the selected articles were read thoroughly through a systemic analysis in order to identify research problems, proposed solutions, and unfilled gaps. Then, research opportunities identified were: (i) Big data and associated analytics; (ii) Collaboration between different disciplines; (iii) Solution Customization; and (iv) Digital twin development.

15:35 - 16:00 Increasing Eco-Efficiency Awareness for Ship Loading Process Using Virtual Reality and Gamification
Gong et al., Chalmers


The world is striving for a sustainable future as United Nations proposed the 17 Sustainable Development Goals to reduce the environmental impact and increase societal wellbeing by 2030. In this endeavor, eco-efficiency is considered as one of the key concept to facilitate the successful transition to the sustainable development with the focus to reduce the ecological impact of industry through efficiency improvements. The shipping industry is largely involved in this challenge with a target set by International Maritime Organization to cut emissions from individual ships by 40% from 2008 levels by 2030. The ship loading process is believed to have great impact to the overall eco-efficiency as it is not only a time consuming process but also determines the fuel consumption of the transportation. In this study, we aim to incorporate virtual reality (VR) technology and gamification theories to raise the eco-efficiency awareness in the shipping loading process. A VR application for ship loading process was developed using a real world case in the Baltic sea region. Eco-efficiency concept is introduced in different levels based on the gamification theories. Maritime professionals tested the VR application and provided their feedback. The results are positive that combining VR and gamification can be useful to train operators with ecoefficiency in the ship loading operations. It also shows a huge potential to support the shipping industry in this transition towards a more sustainable future.

16:00 - 16:25 Virtual Factories with Knowledge-Driven Optimization as a New Research Profile
Ng et al., HiS


This paper conceptually introduces VF-KDO (Virtual Factories with Knowledge-Driven Optimization, a research profile of the University of Skövde, Sweden, which is underway from 2018-2026. The goal of this research profile is to deliver radical innovations in manufacturing research essential to the design and operation of next-generation manufacturing systems. A unique concept proposed in VF-KDO is: knowledge extracted for decision support is achieved through systematically exploring, e.g., using advanced, interactive data analytics techniques on optimal solutions generated via many-objective optimizations on virtual factory models. As the word “driven” means “motivated” or “manipulated”, so does KDO have some two-fold meanings: (1) optimizations that aim at generating knowledge, not only mathematically optimal solutions; (2) knowledge-controlled optimizations, instead of some blind/black-box processes. It is this concept of KDO, combining with modular, virtual factory models at different levels, which distinguishes VFKDO from other related research efforts found internationally and in Sweden. The cutting-edge research topics involved in the research profile and their synergy with the digitalization efforts of the 7 partner companies, in form of the development of an intelligent decision support system, can be used to improve the competiveness of the Swedish manufacturing industry by supporting their holistic, optimal and sustainable decision making.

14:45 - 16:25

Paper session stream III

Paper session III:D - Humans in the production

Chair: Sten Grahn, RISE

14:45 - 15:10 Optimizing Ergonomics and Productivity by Connecting Digital Human Modeling and Production Flow Simulation Software
Iriondo Pascual et al., HiS


Simulation software is used in the production development process to simulate production and predict behaviors, calculate times, and plan production in advance. Digital human modeling (DHM) software is used to simulate humans working in production and assess whether workstation designs offer appropriate ergonomic conditions for the workers. However, these human simulations are usually carried out by human factors engineers or ergonomists, whereas the production simulations are carried out by production engineers. Lack of integration of these two simulations can lead to suboptimal solutions when the factory is not optimized to improve both productivity and ergonomics. To tackle this problem, a platform has been developed that connects production flow simulation software data and DHM software data and integrates them in a generic software for data treatment and visualization. Production flow simulation software data and DHM software data are organized in a hierarchical structure that allows synchronization between the production data and the ergonomic data on the target simulation software. The platform is generic and can be connected to any production flow simulation software and any DHM software by creating specific links for each software. The platform requires only the models of the production line, workstations, and tasks in order to perform the simulations in the target simulation software and collect the simulation results to present the results to the user of the platform.

15:10 - 15:35 Potential Models of Group Learning in Production
Peltokorpi et al., Finland


Working in groups is beneficial for many complex production jobs as groups can have the cognitive and physical capacity that lacks from individuals. The group learning process is complicated when, in addition to individual learning by doing, the number of workers and knowledge transfer have their effects. Production managers need tools for analyzing and predicting group performance and learning over future production periods. Mathematical learning curve models are one of those tools that managers use, with a few are available for groups. This paper reviews potential group learning curve models for production environments. The models are fitted to data from an assembly experiment consisting of different group sizes and repetitions. The results show that more parameters improve the fit. A qualitative evaluation has been performed to answer how well the models reflect group learning and support decision making in production and how their prediction of data could be improved. The results suggest that the S-shaped model performed the best making it a potential one for describing learning in groups in production environments. The paper also suggests future directions along with this line of research.

15:35 - 16:00 Motion Behavior and Range of Motion when Using Exoskeletons in Manual Assembly Tasks
Luque et al., HiS


Although the automation level is high within the automotive industry, there are still a large number of manual tasks, especially is the final assembly of the vehicle. Overhead assembly operations is an example of a problematic manual task that can cause workers to develop musculoskeletal disorders in the shoulder complex. Exoskeletons may be a solution to reduce the risk for developing musculoskeletal disorders from the work tasks. This study evaluates and compares how the use of three different passive upper body exoskeletons affects the range of motion (ROM) of workers at overhead assembly tasks. An experiment consisting of three tasks was set up in order to analyze the differences between the models. Seventeen subjects were involved in the study. Interviews, observations, videos and motion capture recordings were the methods of collecting data. The results show agreement from all the subjects that the exoskeletons help the worker at this specific assembly operation. The results also show that different exoskeleton models cause different levels of ROM reductions. The subjects’ opinions about how the different exoskeletons influence the ROM corresponds with the analysis of the motion capture data. Positive and negative aspects of each exoskeleton from a ROM and an implementation point of view are discussed. In general, the results indicate that the exoskeleton models can be applicable for the type of work tasks studied. However, the exoskeletons would benefit from further development in order to decrease ROM limitations and therefore cover a larger number of different manual assembly tasks.

16:00 - 16:25 Production Innovation and Effective Dissemination of Information for Operator 4.0
Li et al., Chalmers


The manufacturing industry is becoming increasingly more complex as the paradigm of mass-production moves, via mass-customization, towards personalized production and Industry 4.0. This increased complexity in the production system also makes everyday work for shop-floor operators more complex. To take advantage of this complexity, shop-floor operators need to be properly supported in order to perform their important work. The shop-floor operators in this future complex manufacturing industry, the Operator 4.0, need to be supported with the implementation of new cognitive automation solutions. These automation solutions, together with the innovativeness of new processes and organizations will increase the competitiveness of the manufacturing industry. This paper discusses three different aspects of production innovation in the context of the needs and preferences of information for Operator 4.0. Conclusively, product innovations can be applied in the manufacturing processes, and thus becoming process innovations, but the implementation of such innovations require organizational innovations.

14:45 - 16:25

Paper session stream IV

Paper session IV:J - Responsive and efficient operations and supply chains

Chair: Anna Granlund, MDH

14:45 - 15:10 Value Chains vs. Ecosystems: Current Perspectives Among Swedish SMEs Entering the Interconnected World of IoT
Centerholt et al., RISE


Smart connected industrial products and the Internet of Things (IoT) are transforming the industrial business landscape in a radical way. To reach the full potential of IoT-technologies manufacturing firms are forced to rethink almost every aspect of their value creation process. To utilize this promising digital technology and to cope with the new market conditions of IoT environments, research shows that industrial firms have to make a fundamental shift in value creation logic and break free from the value chain perspective of business. Instead they have to embrace a view where value is co-created within ecosystems in both a vertical and a horizontal manner. By exploring the value creation logic of small and medium sized (SME) Swedish industrial machinery manufacturers, this study contributes to a deeper understanding of how manufacturing firms view their value creation processes and how aligned this logic is to the latest research in IoT. The study found that Swedish industrial machine manufacturers do understand the transformative force of IoT-technologies and see great business opportunities to utilize IoT in their business. The study, however, identified a lack of co-creation and difficulties in embracing an ecosystem perspective. While quick to embrace change on a technical level, respondents still adhere to a firm-centric and linear perspective of value creation, with a strong attachment to the value chain concept. The study suggests that it is not a lack of technical proficiency or engineering know-how, but rather an adherence to goods-dominant logic and attachment to the value chain concept that prevent Swedish SME manufacturers from fully embracing the growing market of industrial IoT. Hence, we see an urgent need for both practitioners and academia to shift their attention from the dazzling potential of cutting-edge technologies to the nitty-gritty business of incorporating co-creation and ecosystem-thinking into current business practices.

15:10 - 15:35 Production Logistics Visibility – Perspectives, Principles and Prospects
Kalaiarasan et al., KTH


Globalisation, competitive markets and increasing sustainability requirements are demanding companies to focus on visibility to improve their supply chains and ultimately their businesses. This paper aims to identify perspectives, principles and prospects of production logistics visibility (PLV). The study is based on a literature review of articles presenting definitions, development trends and the future role of PLV. It is concluded that visibility is generally defined by availability, quality, accessibility and usefulness of information. PLV could refer to the extent to which actors within the production systems have access to timely and accurate information considered useful to their operations. According to the findings, antecedents of PLV include digitalisation, IoT and connectivity. These steps are required to turn data into meaningful information that can be used for decision making in production and logistics setting to improve operational and business performance. Furthermore, to fully benefit from PLV, there has to be an integration of external and internal perspectives. Concluding, the paper defines future research efforts including four lines of exploration and development: (1) Intra-site visibility for material management including dynamic synchronisation, takt and resource planning. (2) Supply-oriented visibility for dynamic status and prediction of supply network status. These two initial lines of enquiry should include the perspectives of stakeholders, parameter, enabling technologies and potential impact. (3) A synthesised framework for Production Logistics Visibility, relying on utilizing antecedents and enabling multi-criteria decision in production logistics based on visibility, where performance in terms of efficiency, sustainability and flexibility is ensured. (4) To specifically detail and exploit the potential in production logistics visibility in the aspect of environmental sustainability and closed material and product loops.

18:00 - Late

Conference Dinner


Husqvarna AB

Edge - Our Journey Toward Perfect Production

  • Speaker: Anders Wiberg, Director Manufacturing Edge Factory

We are constantly under the pressure to maximize operational performance and making sure to strive towards perfection. To stay relevant in the market competition we need to increase uptime, stay true to our quality and apply the art of automation in an effective way. In this session we will take you through how an idea transformed into a high-end manufacturing plant and how we as a manufacturing company will face tomorrow challenges in the name of Industry 4.0 and digitalization. Changes happens in a rapidly fast way and we are here to bring ideas into solutions – We are a creative hub for innovation and passionate minds. Together, we are on a mission. To shape greater experiences than ever.

Sandvik Coromant Gimo

Factory of the future

  • Speaker: Claes Nord, Senior Visitor Experience Specialist, AB Sandvik Coromant

The Sandvik Coromant Gimo tool production plant in Sweden has been recognized by the World Economic Forum as an advanced Industry 4.0 facility.
The Sandvik Coromant tool production plant at Gimo, north of Stockholm, is a highly-automated facility that fully embraces the many benefits of digitally-connected manufacturing. This was recently acknowledged by the World Economic Forum which announced Gimo as one of its global “lighthouse” sites. Each lighthouse is selected from a survey of over 1,000 manufacturing units based on their success in adopting digital technologies and demonstrating tangible benefits.

According to the World Economic Forum, the Gimo facility has created a digital thread through its production processes that has significantly raised productivity. One example is its ‘touchless changeover’ which allows design patterns to be changed automatically, even during unmanned shifts. Such best-in-class advances means Gimo will now become part of the global lighthouse network, opening its doors and sharing knowledge with other manufacturing businesses.

Sandvik Coromant is the world’s leading supplier of tools, tooling solutions and know-how for the metalworking industry. With extensive investments in research and development, we create unique innovations and set new productivity standards together with our customers. These include the world's major automotive, aerospace and energy industries. As a market leading supplier of tools, tooling solutions and know-how for the metalworking industry, Sandvik Coromant employs almost 8 000 brilliant minds spread across both geographical and cultural borders. Development is in our DNA and we’re proud to create unique innovations and set new productivity standards in close collaboration with our customers. We are also aiming ambitiously to reduce our environmental footprint and drive the shift towards a more sustainable world. Quite simply, shaping the future together!


Trends of productivity growth and the role of manufacturing

  • Speaker: Lena Hagman, Senior economist

Teknikföretagen will present overall perspectives on the long-term trends of total factor productivity growth in Sweden and abroad, point out general obstacles observed in the last decade, but also possibilities for productivity to be raised against headwinds. The Manufacturing industry in the region of Jönköping creates more than half of the region’s total value added. The demand for its manufactured products creates almost 1/3 of all jobs in the region. On top of that, the tax income and transfers derived from manufacturing make room for public expenditures and creation of jobs within welfare services in the region. In order for this bloodstream to keep pumping around the heart of the region’s manufacturing industry, the conditions for improving its productivity growth is vital.



During the conference there will be workshops on different topics.

Workshop on collaborative research: Best practice in co-production of education and research

  • Moderators: Malin Löfving, Träcentrum and Jenny Bäckstrand, School of Engineering, Jönköping University

During the workshop, the structured way that JTH work with engagement with industry will be presented, based om the 7 themes and 30 propositions regarding collaboration that have been formulated (found on The participants will be invited to discuss on the themes of;
- Strategic partnerships
- Collaboration arenas
- Industry placement/internship for engineers
- Life-long learning – courses for industry
- Matchmaking between company needs and university offerings

We hope that the participants will share their experiences during and be inspired to collaborate in research and education.

Workshop on education: Lifelong learning and developing shared modular education between Academia and Industry - the Civilingenjör 4.0 pilot project

  • Moderator: Bengt-Göran Rosén, Professor, Halmstad University

During the workshop visions and status on education in collaboration and "Life-long learning" as a concept will be discussed. The discussion starts off from a concept developed based on small (1-3 credits) education modules from the ongoing national project Civilingenjör 4.0. The project is exploring joint academia-academia- and academia to industry education as one (of many) enablers of the life-long learning concept. Invited speakers from industry and academia will initiate the discussion. In the end of the session challenges identified for the co-operation will be penetrated by the aid of the audience and a plenary panel.

Workshop on education: Experiences from the production2030-doctoral course in international production – this year based on a field trip to USA and Silicon Valley, is presented and discussed

  • Moderator: Bengt-Göran Rosén, Professor, Halmstad University

The workshop is presented by participants from the Production 2030 Graduate School course International production who will share their experiences from study visits both at Swedish companies and in California to discuss aspects of internationally based production. A discussion will be initiated around the conclusions from the course and ideas and suggestions of topics and layout for coming versions of the course will be welcomed from the audience.

Workshop on research: Building knowledge together in product and production development research

  • Moderators: Anna Öhrwall Rönnbäck, Professor, Luleå University of Technology (project manager, Kunskapsförmedlingen), Tero Stjernstoft, Vinnova (chairman of Kunskapsförmedlingen), Boel Wadman, Produktionskluster (The Swedish Manufacturing R&D Clusters), Cecilia Warrol, Produktion2030, and Sabina Rebeggiano, Produktion2030 Graduate School

All researchers in Sweden in the fields of Product Development and Production Development are invited to present their research profiles at the web portal "Kunskapsförmedlingen" – the knowledge dissemination channel. It is jointly run by the funding bodies (Vinnova, SSF, KK Foundation and Tillväxtverket), the Association of Swedish Engineering Industries (Teknikföretagen) and scholars. In total, Kunskapsförmedlingen involves a network of several hundred researchers and their research projects. Over the years, Kunskapsförmedlingen has been used primarily as a shopwindow, with links to various resources for dissemination. Besides announcing news, events and calls, recently also PhD courses were added. Please join us in a workshop where the aim is to further develop our common channel for announcing product development and production development research dissemination activities. As on outcome, we hope that our research will be even more accessible and easier to find for the external website visitor.