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  • 1.
    Bondestad, Mattias
    KTH, School of Industrial Engineering and Management (ITM), Sustainable production development.
    Effektivare avisering av paket2019Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    DHL Parcel has an old model for notification to their customers. The purpose of the assignment was therefore to investigate how new or alternative methods can be used in a new model. The new model should be reliable and profitable.

    Research and interviews were conducted to get an understanding of the present situation and to find ideas for a new model. Notifications by mail is the largest cost in the current model. Research and meetings with LINK Mobility showed that “Facebook Messenger” is the most developed method to use as a new notification method.

    The new model presented in the results suggested that the mail being sent on day 7 should instead be sent on day 3. This by reading the list of deliveries of SMS and only send mail to customers not reached by SMS‐notification. The new model is calculated to reduce the yearly cost by 3 million SEK and high level of reliability.

    At the end of the report, reflections on the work are presented. Recommendations to DHL for continued work on implementation plans and other necessary steps before an implementation of the new model are presented.

  • 2.
    Chavez, Zuhara
    KTH, School of Industrial Engineering and Management (ITM), Sustainable production development.
    Divergence between Value Stream Mapping Western Understanding and Material and Information Flow Chart Principles: A Japanese Automotive Supplier’s Perspective2018In: Journal of Service Science and Management, ISSN 1940-9893, E-ISSN 1940-9907, Vol. 11Article in journal (Refereed)
    Abstract [en]

    Through visualization, mapping techniques help manufacturing organizations prioritize and guide improvement strategies. For this reason, mapping of the value chain is applied as a method of progress toward lean manufacturing. The purpose of this paper is to illustrate the essence of the material and information flow chart (MIFC) approach, known as value stream mapping (VSM) in the West, to provide a different perspective and understanding and to identify its manner of integration with measurement systems. Metrics complement mapping tools allow the tracking of various stages of an organization’s lean journey and continuous improvement (CI). While the time dimension is predominant in performance metrics in lean environments, these metrics do not link the economic factor directly to improvements. The research comprises a case study in which lessons are learned from tool placing and metric determination. Empirical research included critical case sampling and semi-structured interviews, and data were analyzed to compare the conventional Western understanding of VSM with that of a Japanese supplier that learned the principles directly from the source and applied their own version of MIFC. An understanding of the tool based on core knowledge will enable organizations to reevaluate their current measurement systems and choose more suitable ones.

  • 3.
    Holst, Johan
    KTH, School of Industrial Engineering and Management (ITM), Sustainable production development.
    Energioptimering av destillationsprocess med ejektorteknik2019Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    This is a report that aims to map qualified suppliers to Aqua‐Nova. The company's organization is small and consists of five employees. It is therefore a challenge to sell new projects, monitor production and care for customer relations and at the same time conduct development projects. The work is based on a technical report obtained by Aqua‐Nova. The report investigates a possible optimization of the distillation process using ejector technology.

    The purpose of this thesis was to investigate the most suitable subcontractor of ejectors for Aqua‐Nova. The purpose was to also answer the four detailed objectives.

    • What advantages and disadvantages are created by introducing an ejector into the system?
    • What customer benefits does an ejector provide?
    • What requirements are placed on the technology to work together with Aqua‐Nova's current system?
    • What requirements are placed on suppliers in terms of competence, delivery ability and price?

    Through Google searches, examination of Achema industrial fair and through interviews, eleven suppliers were found who met the requirements specification. With Pugh and Kesselring matrices, a two‐step screening process was performed. The British company Transvac Systems Ltd. got the highest score in both screenings and is thus considered the most suitable supplier. 

    The screening process was supplemented by a competition analysis, a risk analysis and an interview to answer the detailed objectives. The competition analysis aims to investigate the pros and cons of the development project and shows that Aqua‐Nova can increase its market share by differentiating the product. The focus should be on the markets where cooling water is a scarce commodity and the companies that suffer from space shortages. The customer benefits become a more environmentally friendly and profitable product. The risk analysis shows whether there is a risk of implementing new technology in Aqua‐Nova's system. Based on the result, the risk of the ejector causing a downtime is minimal. The interview shows that a supplier must be able to deliver tailor‐made ejectors and how the ejector should be designed to work in the Aqua‐Nova system.

    The result can be considered credible since the screening process was performed in two steps. The risk and competition analysis give a representation of the challenges the company can face with the development project.

    The result ought to be supplemented by a cost analysis and developing of a test facility to ensure profitability and a functional product.

  • 4.
    Jeong, Yong-Kuk
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Sustainable production development.
    Ju, Su Heon
    Seoul National University.
    Shen, Huiqiang
    Seoul National University.
    Lee, Dong Kun
    Shin, Jong Gye
    Seoul National University.
    Ryu, Cheolho
    An analysis of shipyard spatial arrangement planning problems and a spatial arrangement algorithm considering free space and unplaced block2018In: The International Journal of Advanced Manufacturing Technology, Vol. 95, no 9-12, p. 4307-4325Article in journal (Refereed)
  • 5.
    Jeong, Yong-Kuk
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Sustainable production development.
    Kim, Youngmin
    Seoul National University.
    Ju, Su Heon
    Seoul National University.
    Shin, Jong Gye
    Seoul National University.
    Kim, Jong Chul
    Woo, Jong Hun
    A Spatial Layout Optimization Program considering the Survivability of a Naval Vessel in the Early Design Stage2019In: Journal of Ship Production and Design, ISSN 2158-2866, E-ISSN 2158-2874Article in journal (Refereed)
  • 6.
    Jeong, Yong-Kuk
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Sustainable production development.
    Lee, Philippe
    Woo, Jong Hun
    Shipyard Block Logistics Simulation Using Process-centric Discrete Event Simulation Method2018In: Journal of Ship Production and Design, Vol. 34, no 2, p. 168-179Article in journal (Refereed)
  • 7.
    Kim, Youngmin
    et al.
    Seoul National University.
    Woo, Jong Hun
    Jeong, Yong-Kuk
    KTH, School of Industrial Engineering and Management (ITM), Sustainable production development.
    Shin, Jong Gye
    Seoul National University.
    Computational Shipyard Dynamics2018In: Journal of Ship Production and Design, Vol. 34, no 4, p. 355-367Article in journal (Refereed)
  • 8. Lee, Dong Kun
    et al.
    Jeong, Yong-Kuk
    KTH, School of Industrial Engineering and Management (ITM), Sustainable production development.
    Shin, Jong Gye
    Seoul National University.
    Oh, Dae-Kyun
    Optimized design of electric propulsion system for small crafts using the differential evolution algorithm2014In: International Journal of precision engineering and manufacturing-green technology, Vol. 1, no 3, p. 229-240Article in journal (Refereed)
  • 9. Lee, Dong Kun
    et al.
    Shin, Jong Gye
    Seoul National University.
    Kim, Youngmin
    Seoul National University.
    Jeong, Yong-Kuk
    KTH, School of Industrial Engineering and Management (ITM), Sustainable production development.
    Simulation-based work plan verification in shipyards2014In: Journal of ship production and design, Vol. 30, no 2, p. 49-57Article in journal (Refereed)
  • 10. Lee, Jong Moo
    et al.
    Jeong, Yong-Kuk
    KTH, School of Industrial Engineering and Management (ITM), Sustainable production development.
    Woo, Jong Hun
    Development of an evaluation framework of production planning for the shipbuilding industry2018In: International Journal of Computer Integrated Manufacturing, Vol. 31, no 9, p. 831-847Article in journal (Refereed)
  • 11.
    Liu, Hongyi
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Sustainable production development.
    Fang, Tongtong
    KTH.
    Zhou, Tianyu
    KTH.
    Wang, Yuquan
    KTH, School of Industrial Engineering and Management (ITM), Sustainable production development.
    Wang, Lihui
    Deep Learning-based Multimodal Control Interface for Human-Robot Collaboration2018In: 51st CIRP Conference on Manufacturing Systems, Elsevier, 2018, Vol. 72, p. 3-8Conference paper (Refereed)
    Abstract [en]

    In human-robot collaborative manufacturing, industrial robot is required to dynamically change its pre-programmed tasks and collaborate with human operators at the same workstation. However, traditional industrial robot is controlled by pre-programmed control codes, which cannot support the emerging needs of human-robot collaboration. In response to the request, this research explored a deep learning-based multimodal robot control interface for human-robot collaboration. Three methods were integrated into the multimodal interface, including voice recognition, hand motion recognition, and body posture recognition. Deep learning was adopted as the algorithm for classification and recognition. Human-robot collaboration specific datasets were collected to support the deep learning algorithm. The result presented at the end of the paper shows the potential to adopt deep learning in human-robot collaboration systems.

  • 12. Nam, Seunghoon
    et al.
    Lee, Dong Kun
    Jeong, Yong-Kuk
    KTH, School of Industrial Engineering and Management (ITM), Sustainable production development.
    Lee, Philippe
    Shin, Jong Gye
    Seoul National University.
    Environmental impact assessment of composite small craft manufacturing using the generic work breakdown structure2016In: International Journal of Precision Engineering and Manufacturing-Green Technology, Vol. 3, no 3, p. 261-272Article in journal (Refereed)
  • 13.
    Shahbazi, Sasha
    et al.
    Swerea IVF.
    Wiktorsson, Magnus
    KTH, School of Industrial Engineering and Management (ITM), Sustainable production development.
    Kurdve, Martin
    Chalmers Technical University.
    Using the Green Performance Map: Towards Material Efficiency Measurement2019In: Operations Management and Sustainability - New Research Perspectives / [ed] Luitzen de Boer, Poul Houman Andersen, Palgrave Macmillan, 2019Chapter in book (Refereed)
  • 14.
    Trucco, Paolo
    et al.
    Politecnico di Milano.
    Negri, Alexandra
    Politecnico di Milano.
    Birkie, Seyoum Eshetu
    KTH, School of Industrial Engineering and Management (ITM), Sustainable production development. KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Management. KTH Royal Institute of Technology.
    The influence of structural and dynamic complexity factors on supply chain resilience: a qualitative study2018In: Proceedings of 25th EurOMA Conference, 2018Conference paper (Refereed)
    Abstract [en]

    This study aims to investigate the implications of supply chain (SC) complexity (based on static and dynamic complexity drivers) on constituents of resilience capabilities to deal with disruptions. A systematic qualitative analysis based on critical incident technique has been applied on secondary data collected on disruption incidents. Findings indicate that most of the complexity drivers have positive influence on several resilience constit-uents; however, negative effects were observed as well. Static SC complexity drivers seem to have both positive and negative effects on resilience, while dynamic complexity drivers seem to reinforce SC resilience.

  • 15.
    Trucco, Paolo
    et al.
    Politecnico di Milano.
    Petrenj, Boris
    Politecnico di Milano.
    Birkie, Seyoum Eshetu
    KTH, School of Industrial Engineering and Management (ITM), Sustainable production development. KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Management. KTH Royal Institute of Technology.
    Assessing supply chain vulnerabilities upon critical infrastructure disruptions: a multilevel modelling approach2018In: Supply Chain Risk Management: Advanced Tools, Models, and Developments: / [ed] Yacob Khojasteh, Tokyo: Springer, 2018, p. 311-334Chapter in book (Refereed)
  • 16. Woo, Jong Hun
    et al.
    Kim, Youngmin
    Seoul National University.
    Jeong, Yong-Kuk
    KTH, School of Industrial Engineering and Management (ITM), Sustainable production development.
    Shin, Jong Gye
    Seoul National University.
    A Research on simulation framework for the advancement of supplying management competency2017In: Journal of Ship Production and Design, Vol. 33, no 1, p. 60-79Article in journal (Refereed)
1 - 16 of 16
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