2020-2021 Master Thesis Topics

(Already Selected)

Here is the list of topics which are already selected by students for their master thesis

2018_001

Field of Study:

Service supply chains in the automotive industry and customer satisfaction: A comparative study of the service supply chains of Tesla and (e. g.) Toyota

Supply Chain Management

Contact Details:

Svein Bråthen


Problem Description: Service supply chains are often consideres as an important source for revenue generation. Perhaps particularly for complex products, the design of after-market services can enhance customer loyalty and entail a certain amount of market power for the supplier. In addition, when customers are repeating their purchases of the items in question (cars in this case), the quality of the after-market service may be important when considering to purchase the same car brand again or not, There are various ways of performing after-market service. In the automotive industry there may, roughly speaking, be two Extremes. Tesla (perhaps the most well-known electric car maker) has a highly centralized system whereas the main players in the automotive industry (with Toyota as an example) has a decentralized system. This may cause differences for the customer in terms of being a part of the service supply chain. The thesis may focus on electric cars. However, apart from the engines and other parts of the drivetrain there are reasons to believe that the need for service on other parts of the car remains the same for an electric car as compared with a petrol/diesel/hybrid car. So it may or may not be necessary to focus on electric cars only when comparing Tesla with one of the "mainstream" car makers.

Selected By:

Vegard Jensen

2020_002

Field of Study:

Network design and operations planning for production problems

Logistics Analytics / Optimization

Contact Details:

Yury Redutskiy

Problem Description: Production logistics is a scientific branch studying networks and flows of various nature (goods, people, information, money, etc.) in value-adding systems with the purpose of developing recommendations for the design, implementation, and mobilization of such systems. In the oil and gas sector, production processes are organized as physical networks of production, gathering, processing, and transportations of goods. Examples of such networks are oil and gas field gathering infrastructures (upstream sector), long-distance transmission pipeline design (midstream sector), and others. In the context of the manufacturing branch, the issue of the production process organization moves into the area of production floor planning, including such problems as cellular manufacturing layout planning (commonly used in modern-day smart factory solutions), as well as machine placement on the production floor within the cells. Despite the specifics of a particular production process, the design decisions related to the production infrastructure should be made together with planning the productions operations. Such integrated planning of the infrastructures and the operations ensures the best possible process efficiency in the long run. The students who are willing to choose this research direction for their master theses should narrow down their choice to a particular industrial sector, which they will have to study in detail, examine the relevant research, identify research gaps and develop a mathematical model integrating design and operations planning decisions within one decision-making framework. It is beneficial that the students find a company in their chosen sector to gather the data about the company’s projects to evaluate their long-term planning.

Selected By:

Umid Mirzaev

Rabah Taif

2020_005

Field of Study:

Risk analysis in oil and gas industry operations

Risk analysis and risk management (both qualitative and quantitative)

Contact Details:

Yury Redutskiy

Problem Description: Operations in the oil and gas industry are associated with considerable hazards. Many incidents such as offshore collisions, oil spills, gas blowouts, etc., happen every year. Some of the incidents have relatively mild consequences, such as production losses due to facility downtime, whereas others may lead to harm to personnel, environmental damage, and other negative socio-political effects. The area of risk analysis and risk management studies the barriers aiming to prevent such incidents and reduce their consequences. One of the critical aspects crucial to preventing hazardous events is training the operators running and monitoring the processes. The students who are willing to choose this research direction for their master thesis will have to study how the personnel operating oil and gas facilities are trained and to collect statistical data regarding the incidents in particular country/area/region/company. Further, the students will use the modeling framework suggested by the standards IEC61508 and IEC61511 to determine the operator’s role in resolving incidents. Ultimately, the students will be required to study the details of operators’ training and their job routine to examine how the likelihood of incidents may be decreased by addressing the analysis of possible human errors.

Selected By:

Daud Ahmed

2020_006

Field of Study:

Energy sustainability and energy efficiency

Energy sustainability / optimization / LEAN

Contact Details:

Yury Redutskiy

Problem Description: Proper and efficient utilization of energy resources is a substantial part of the concept of sustainability. Establishing and operation modern-day energy networks is associated with various logistic problems related to the infrastructures for production and transportation of energy, operating these networks (i.e., balancing the use of energy resources relevant to geographical and social contexts), as well as integrating energy-efficient technologies into the process operations. In order to properly run a process or a system, its energy needs (such as needs for electricity, heating and cooling) have to be evaluated. Also, suitable technological alternatives must be considered in order to meet the system's energy demands. When it comes to electrical power generation, the applicability of technologies such as waste heat recovery (WHR) and combined heat and power (CHP) cycles are often considered as means of technological efficiency improvement. In addition, there are technologies applied to decarbonize the modern-day industry (including many existing energy conversion solutions) by means of carbon capture and storage (CCS) systems. Examples of logistic problems with respect to the areas of application could be: developing industrial systems up the energy demands, designing and operating community energy systems, designing an efficient heat- and power-generation solution for an offshore petroleum production platform as well as decarbonizing the processes on such a platform. Generally, the research in energy sustainability may follow the qualitative direction (e.g., application of LEAN principles in industrial, commercial, and agricultural sectors) and the quantitative direction (thermodynamic analysis and optimization) relevant to energy production and consumption in various industries as well as the residential sector.

Selected By:

Muhammad Omer Farooq

2020_019

Field of Study:

Heuristics for Binary Integer Programming Problems

operations research

Contact Details:

Lars Magnus Hvattum

Problem Description: Several logistical challenges can be modelled as pure binary integer programming (BIP) problems. Examples include facility location problems, cutting stock problems, facility location problems, and airline crew scheduling, in addition to many other planning problems. The resulting problems are hard to solve, and heuristic solution methods are often developed for the particular problem class at hand. Few attempts have been made to create heuristic solvers for the general BIP.

This topic would be to implement some new metaheuristic ideas for solving BIPs, either based on population search, constructive heuristics, or local search heuristics. Some of the ideas to be tested involve using prediction methods and classification methods, either based on machine learning methods or statistical methods, within the heuristic search. This topic is suitable for a group of students with good programming skills and a willingness to learn more about heuristic solution methods.

Selected By:

Alexandr Reznik

2020_020

Field of Study:

Procurement for the Norwegian Defense Logistics Organisation

Contact Details:

Sergei Teryokhin

Selected By:

Kevin Brendesæter-Janz

2020_021

Field of Study:

Digital twin and urban freight transport: the case of green crowdshipping

Logistics and transport economics

Contact Details:

Edoardo Marcucci

Problem Description: The rise of on-demand logistics puts serious strain on last mile delivery systems. Urban planners, city authorities and business stakeholders need a new adaptive approach to help them predict possible consequences of market driven developments, evaluate fast response green strategies, and introduce incremental changes by adopting innovative business models that promote public-private cooperation. Cities have already been evolving in this direction in the recent years, with an increasing number of logistics living labs, complementing the old “predict and provide” paradigm. The innovation refers to the development of a range of logistics solutions for shared, connected and low-emission logistics operations, empowered by an adaptive modelling approach and Digital Twin models. For this, data-driven models need to work in parallel with real-life experiments to reproduce findings and predict results of response actions.

City logistics solutions addressing the requirements of the on-demand economy and the pressures caused by the increase of parcel deliveries, while aligning competing interests and creating value for all different stakeholders, can be classified as follows: a) innovative business models, b) agile urban freight storage and last mile distribution schemes, c) low emission, automated, electric or hybrid delivery vehicles, and d) smart data-driven logistics solutions. Balanced city measures will most likely have combinations of these strategies in place to cover the complete dynamics and complexity of a city’s logistics challenges.

Digital Twins will facilitate: (1) comprehension of the dynamics of logistics networks in the city and the impact of introducing specific innovations, (2) the design and evaluation of sustainable and economically viable strategies through simulation, (3) the ‘integrated’ planning and management of freight movement in cities and metropolitan areas.

Selected By:

Markus Andreas Lilleheil

2020_022

Field of Study:

Circular Economy in the service sector – How circularity principles can transform the service value chain

Contact Details:

Nina Pereira Kvadsheim

Selected By:

Anne Cathrine Skinmo

Helene Hassel Fjærli

2020_023

Field of Study:

Logistics for additive manufacturing

Contact Details:

Kristina Kjersem

Problem Description: The students will analyze challenges and opportunities in using two types of additive manufacturing approaches: creating a new product or printing based on existing design. The study is focused on the effects of these approaches on the supply chain from the customer order decoupling point to the after-life stage.

Selected By:

Moshkan Ebrahimi

2020_024

Field of Study:

The Effect of 3D-Printing/Additive Manufacturing on Logistics

Logistics - information systems

Contact Details:

Bjørn Jæger

Problem Description


Background: Logistics is an activity-driven system. As technologies evolve the nature of the activities change. Starting in the 1980s we saw a shift from physical activities-driven logistics towards information-driven logistics (La Londe 1983). Since then, the implementation of information-driven logistics instead of physical activity driven logistics have escalated. We have witnessed a substitution of information for human input, physical inventory and transportation activities. Automatic point-of-sales machines relieved humans for manual subtraction of the number of items sold from the inventory level, increased knowledge of demand patterns from information systems reduced the inventory level, and the coordination of transport demand by information systems made physical transportation more efficient. Now 3D printing, also known as additive manufacturing, promise to: change inventory logistics by substituting warehouses with virtual warehouses, change transportation logistics by substituting goods flows with the flow of 3D-printing raw materials, and substituting manufacturing with local 3D-production (Nyangari 2020; AMFG Newsletter 2020).  


Problem: How will the increased use of 3D printing/additive manufacturing affect logistics?  


Solution: Investigate current applications. Develop a new Framework on 3D Printing Process Change. The thesis work can be theory development, a case study involving one or more companies or a combination of theory and case study.  


Students: This thesis is suitable for students with interest in how technologies are transforming logistics.  


Advisor: Please contact: Associate Professor Bjørn Jæger bjorn.jager@himolde.no  


References: 

La Londe, B. J. (1983). A reconfiguration of logistics systems in the 80s: strategies and challenges. Journal of Business Logistics, 4(1), 1-11. 

AMFG Newsletter 2020, 9 Fortune 500 Companies That Are Pioneering the Use of Industrial 3D Printing, Newsletter by Autonomous Manufacturing.

https://amfg.ai/2020/05/06/9-fortune-500-companies-that-are-pioneering-the-use-of-industrial-3d-printing/

Z. K. Nyangari (2020). “Usage of Additive Manufacturing/ 3D printed parts -A case study of Norsk Titanium AS Rapid Plasma Deposition (RPD) TM titanium printed parts. Master Thesis, Molde University College, 2020.

Selected By:

Andreas Hareide Hansen

Tobias Wilhelm Wingaard

2020_031

Field of Study:

Enterprise System preparedness of organisations implementing an ERP system

Logistics - information systems

Contact Details:

Bjørn Jæger

Problem Description

Background: Implementing an   ERP system is a complex and expensive project for organisations because it   touches upon social, behavioural and technical issues. To succeed, an   organization need the competence of an ERP consultancy that has acquired   competencies through experience in implementing new ERP solutions for   multiple clients. However, the efficient use of a consultancy should consider   the preparedness of organisations in adapting an ERP system. A low score in   preparedness could be compensated by using consultants. This means that the   gap between available ability and required ability could be filled by hiring   consultants. There is a need to measure the ERP preparedness level of   organization considering implementing an ERP system. 


Problem: A method to   measure how prepared an organisation is for a new ERP system is needed.   


Approach: Explore ways to measure the Enterprise System preparedness of   organisations implementing an ERP system. This can be a theoretical study or   a case study of ERP Consultancy and companies implementing ERP systems.   

Students: This thesis is suitable for students with knowledge of logistics,   organisations and enterprise systems. 


Advisor: Please contact Associate   Professor Bjørn Jæger bjorn.jager@himolde.no  


References: B. Jæger, S. A. Bruckenberger, A. Mishra (2020). Critical Success   Factors for ERP Consultancies. A case study. Accepted for publication in   Scandinavian Journal of Information Systems (forthcoming)

Selected By:

Kasper Huse

Eirik Martin Sælemyr Bjerknes

2020_035

Field of Study:

Circular economy vs. Sustainable supply chain management

SCM / Sustainability

Contact Details:

Antonina Tsvetkova

Problem Descriprion: Circular economy pushes frontiers of environmental sustainability by emphasizing the idea of transforming products in such a way that there are workable relationships between ecological systems and economic growth. It is implied that circular economy is not just concerned with the reduction of the use of the environment as a sink of residual like sustainable supply chain strategies but rather with the creation of self-sustaining production systems in which materials are used over and over again. Finding ways to align sustainable supply chain strategies to circular economy principles has become important. However, it still remains underexplored how the boundaries of environmental sustainability are to be pushed. Further, the circular economy is primarily concerned with material flows in economic systems through a paradigm shift in production philosophy. There is still a lack of understanding of how environmental impacts (related to energy usage and carbon emissions) and the implications of these impacts can be resolved. The students who are interested in this field of knowledge should provide deeper insights into the following research issues: 

- How can sustainable SCM be enhanced by aligning it to the circular economy concept? 

- Does a circular economy contribute to the vision of sustainable development? 

- How does a circular economy impact society and societal values? 

Each of these research questions can be addressed qualitatively and the candidate(s) will be encouraged to conduct a single case study or multiple case studies in order to reveal the adaptation of circular economy principles to SCM in real practice. A more specific problem definition will be done in cooperation with the company and the supervisor.        

Selected By:

Muhammad Saad Babar

2020_039

Field of Study:

Sustainability in the supply chain within the sea food sector

Contact Details:

Harald Hjelle

Selected By:

Jonas Aandal

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