2020-2021 Master Thesis Topics

2018_008

Field of Study:

The role of automated parcel lockers in e-commerce pickup/deliveries

Transportation Economics

Contact Details:

Edoardo Marcucci

Problem Description: Home deliveries are the preferred delivery option of online consumers but they are not sustainable in the long term. They are very expensive and increase freight traffic while not necessarily decreasing shopping travel. Deliveries to a locker in an automated parcel station (APS) could be a more sustainable alternative but this solution is not very popular. Only a small percentage of online consumers had at least one delivery delivered to such a locker in 2015. This thesis investigates: a) how citizens perceive this solution, b) what they like and dislike about it, c) how their perception depends on their location and availability, d) what is the role of ancillary services linked to this type of delivery. The candidate will have to define and carry out a filed survey to acquire the necessary data and elaborate them to determine the main drivers capable of explaining consumers’ perception of this delivery/pickup technique. The results derived will be useful to determine the relative attractiveness of the delivery/pickup technique with respect to various e-commerce-related items and, possibly, estimate the environmental, economic and financial implications this might have.

 

The goal is to provide support for decision making by offering a consumer perspective. From this perspective, the thesis should provide recommendations of how public procurement of parcel lockers can be conducted, in terms of developing specifications.

2018_020

Field of Study:

E-groceries, purhcasing behaviour and sentiment analysis

Urban freight transportation

Contact Details:

Edoardo Marcucci

Problem Description: The information age has increased the use of internet by people. At present, people have started to shop consistently online including groceries. The online stores provide different options for the shipment of goods such as pick up from a local store, pick up from a general point, and home delivery. During a purchase, many people post their opinions online in social media while companies also post different offers for online purchasing. This provides a lot of unexplored information which, when converted to knowledge will help to shape the logistical movement of the future. In short, the thesis is designed with the use of text mining concept to understand and predict the future of logistics movement in online grocery shopping.

2020_003

Field of Study:

Workforce planning and employee scheduling for processes run in remote locations

Logistics Analytics / Optimization

Contact Details:

Yury Redutskiy

Problem Description: The specifics of some industrial branches are associated with conducting operations in remote and unpopulated areas poorly accessible by transportation. In such areas, employees have to work shifts, i.e., travel from the bigger cities / industrial centers to the facility location and back. It leads to travel costs being a sizable share of the operational expenditures the companies are facing.  In some cases, a local subsidiary of the main company may be established, and local workforce may be hired and trained to operate the processes.  Operations run in such remote locations bring up a lot of workforce-related logistic challenges: staffing size required for running the operations, the necessary qualifications of the crews, shift work and vacations, a system of bonuses to reward the employees, challenges of establishing a subsidiary, and so on.  The students who are willing to choose this research direction for their master theses should narrow down their choice to a particular industrial sector and establish a cooperation with a company operating in a remote area. They will have to study the context of the company’s operations in detail. They will have to examine the relevant research in the area of employee scheduling to identify the workforce organization issues pertinent to the chosen context. Ultimately, the students will develop a mathematical model for employee scheduling covering all these crucial aspects.

2020_004

Field of Study:

Coordination of operations in a vertically integrated petroleum supply chain

Logistics Analytics / Optimization

Contact Details:

Yury Redutskiy

Problem Description: Many businesses in the petroleum sector are vertically integrated companies, meaning that the majority of interactions within this industry in a particular country or a region is the cooperation between the entities (subdivisions, subsidiaries, departments) of the same large company.  Due to the specifics of production and transportation infrastructures in the petroleum branch, as well as the physical properties of the goods, certain crucial aspects of these interactions along the entire chain from the hydrocarbons production sites to the distributions of the end-products to the customers must be properly coordinated. Such aspects cover processing and storage capacities, throughputs of transportation links, maintenance planning, and many others. The students who are willing to choose this research direction for their master thesis should narrow down their consideration of the petroleum industry to addressing particular actors of a certain country/area/region/company. They will have to study the context the cooperation between the actors in the supply chain, as well as model the performance of each actor with respect to the identified relevant technological and logistical aspects. The students will ultimately develop a decision-making model to mobilize the flows in the infrastructures of a particular industrial branch in the most efficient way.

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.

2020_007

Field of Study:

Machine learning used to improve discrete simulation of underwater waste distribution in oceans

Discrete event simulation and machine learning

Contact Details:

Steinar Kristoffersen

Problem Description: For the purposes of collecting and disposing of plastic garbage and ghost fishing tools such as nets and traps, we aim to combine discrete event simulation and machine learning to predict where artefacts of various kinds are most likely to gather underwater. The problem is that manual inspection of vast areas of ocean space will require excessive cost for most corporations, municipalities and even nations. Combined techniques need to be applied to pinpoint the most likely locations, and machine learning may iteratively contribute to improve each simulation as data is collected from the designated sites using underwater drones. The result of the thesis work could be a concrete set of simulations for a concrete area of ocean, with intermediate steps between in which machine learning demonstrably was is applied to improve precision of the next search.

2020_008

Field of Study:

Visualization of waste creation, management, recycling and loss.

Logistics analytics

Contact Details:

Steinar Kristoffersen

Problem Description: Visualization of waste creation, management, recycling and loss is probably the most efficient way to prevent dangerous ocean pollution of plastic and chemical components. Creating a “digital twin” of selected industries’ conversion of raw materials into waste and products, and visualizing its distribution until it is “lost” from the existing business models, allows unclear responsibilities and innovative possibilities to be concretized, in order for waste to be recaptured and new sustainable business models to be established. This research ought to produce a compelling visualization of materials conversion and waste flows for one or two most relevant industry partners, for instance aquaculture or oil & gas, which is assessed in a workshop resulting in new or extended business models. Current estimates of the amount and location of floating, semi-floating and sinking debris in the oceans are highly variable, and this research project should also be used to narrow downs the scope toward the ones that are probably, from the ones that are overly speculative.

2020_009

Field of Study:

Legislation and law for the supply chain of ocean waste

Supply chain management

Contact Details:

Steinar Kristoffersen

Problem Description: There is a common understanding of excessive pollution of the world’s oceans. The equivalent of a 54 000 meter tall skyscraper made out of waste is allegedly tipped into the oceans every year. Once it ends in the ocean, it is hardly retrievable. This project seeks out which contractual obligations commonly exist between parties of the supply chain which transforms raw materials into services and consumer products. The objective is to point out the need for more definitive legislation, regulation and enforcing of obligations to recover waste, and distribute the cost fairly in a model of the supply chain.

2020_010

Field of Study:

A sustainable business model innovation for drones used in ocean waste collection

Supply chain management

Contact Details:

Steinar Kristoffersen

Problem Description:  It is currently highly unlikely that the world’s oceans can be searched, and waste retrieved in any efficient manner using traditional vessels. The spaces are vast. Unless on beaches and in gyres, it is hardly visible in spite of its total volume. In gyres, albeit characterized as islands of debris, the concentration of plastic can vary from 100 down to 10 kilograms per square kilometers which means that recovering it, would require an immense financial investment if it were to be centralized. Decentralizing monitoring, identifying and collecting debris in local waters, however, seems technically and financially feasible, except that there is no scalable business model or motivation that is broadly compelling enough to encourage every citizen to deploy probes and drones to contribute to the global chore. Thus, this master project sets out to explore and exploit peer funding and sharing economy models as an alternative paradigm, to sustain totally decentralized collection of debris from fjords and oceans using nano-underwater drones. The complete value proposition needs to be assessed and a strategy for long-term supply chain development proposed to deal with the environmental challenges.

2020_011

Field of Study:

Sustainable city development and citizen participation

Logistics

Contact Details:

Steinar Kristoffersen

Problem Description: Smart city development project have become commonplace, and most employ what is popularly known as “the quadruple helix”. This master research project empirically examines previous and ongoing smart city projects, to find out of the design thinking of citizens actually manage to become the voice of the city and it inhabitants, compared to the systematic planning made by the municipality’s politicians and bureaucrats. The project will operationalize what makes cities “smart”, and suggest, if possible, a better approach to future sustainable cities planning.

2020_012

Field of Study:

Sports from the doorstep, spectator or participant

Logistics

Contact Details:

Steinar Kristoffersen

Problem Description: In most cities, amusements are mainly structured and systematic, even when there are possibilities to enjoy them freely from almost everybody’s doorstep. This creates travelling patterns, which may have to be changed in order for cities to become more human- and environmentally friendly. For instance, running can be performed virtually everywhere, but a large number of people travel to the gym to run on a treadmill. Horses might have had more space and attention of their owners in their owners’ gardens and yards, than they have in rented stables, still most owners travel far by car to see their horses. Climbing centres indoor replicate structures that are freely found outside, creating a need for transport, parking, utilities such as ventilation, electricity and water, etc.  In both an environmental and a health-and well-being perspective, could other sports take back their natural arenas in ways similar to parkour and skateboarding, rather than continuing to optimize convenient execution of swimming, downhill cycling and the simulated experience of climbing trees in a ”park”, at the cost of common and flexible cityscapes? What are the better trade-offs between our transport systems, places of living and the sports with which we engage? This thesis project explores the limits of de-industrializing sport.

2020_013

Field of Study:

Application of Artificial Intelligence (AI) in Supplier Risk Management

Logistics and IT

Contact Details:

Alok Mishra

Problem Description: Supplier and supply-chain risk management has risen up the agenda as business has become faster moving, more complex and global. AI will help organisations to make sense of the huge amount of data and information available and that could help in terms of risk management. AI can be used in supplier risk management to monitor and identify potential risk positions across the supply chain. For example, Risk methods identifies new and emerging supply chain risk events by handling data gathered from different sources, helping to identify emerging risks faster. Data analysis and making decisions on time will facilitate organizations in best decision making and in saving time and cost in its operations. There are many approaches to be considered for instance Petri nets, multi-agent systems, automated reasoning and machine learning etc.

2020_014

Field of Study:

Artificial Intelligence (AI) Adoption in Vendor Management

Logistics and IT

Contact Details:

Alok Mishra

Problem Description: the use of AI in procurement and supply chain management is still in the early stages. AI in vendor management has great potential. In procurement it can provide a more modern, more effective, and intelligent technique of streamlining business processes. It can help in greater automation of procurement tasks, better visibility, strategic sourcing, etc. AI tools that will indeed start to impact on these issues – strategic sourcing and supplier management, identifying innovation in the supply chain, and true supply chain risk management.

2020_015

Field of Study:

Digitalization and AI in Contract Management

Logistics and IT

Contact Details:

Alok Mishra

Problem Description: Contracting is a common activity, but it is one that few companies do efficiently or effectively. In fact, it has been estimated that inefficient contracting causes firms to lose between 5% to 40% of value on a given deal, depending on circumstances. But recent technological developments like Digitalization and artificial intelligence (AI) are now helping companies overcome many of the challenges to contracting. AI is likely to play a role at every stage of the contract management process. It is already being used to search the existing contracts in organisations for terms and conditions that may carry a risk for the buyer. It will also support the drawing up of new contracts, suggesting appropriate clauses and conditions. Then AI will identify the information needed from the supplier to manage the contract and performance, and ensure this is captured, recorded and reported. And there will be no risk of missing key dates such as a notice to terminate – AI will provide calendar alerts.

2020_016

Field of Study:

Software Services for the Circular Economy

Logistics and IT

Contact Details:

Alok Mishra

Problem Description: Natural resources are finite and when we junk electrical items such as mobile phones, white goods and other technological devices, it releases toxic waste into the atmosphere. Most of the component parts are not bio-degradable, meaning they sit on top of the earth rather than being broken down and absorbed back into the ecosystem. Biological ecosystems already operate on a cyclical basis and experts believe that humanity needs to adopt this same approach in order to reduce the impact our current throw-away culture is having on the environment. We need to operate in an economy that priorities the principles of ‘reduce, reuse and recycle’ rather than ‘take, make and dispose.’ “If the production model is based on the circular economy, then you only produce what you know you can recycle… It works on planet Earth in the ecosystem.

Software supports circular economy; at the same time the instruments of circular economy serve as tools for circular software development.  Digitization, Big Data and other software solutions mainly as enablers for circular economy. For many of these business models, software is very valuable – because it is about decoupling the required use from the need of additional resources. Knowing exactly what materials and components the products are made of is becoming increasingly important. Only in this way can the individual components be reused or recycled.  This work will explore different ways, models, frameworks and strategies in this regard.

2020_017

Field of Study:

Management of the Digital Transformation in Logistics Sector

Logistics, Management, IT

Contact Details:

Alok Mishra

Problem Description: The path to increased operational efficiency and customer satisfaction lies in the digitalization of logistics sector. Efficiency, optimization, speed and timing have always been critical in logistics and transportation. Today, amidst a range of accelerating evolutions and in an increasingly digital environment where digitalization are affecting the next revolution of industry, and moving towards Industry 4.0. There are many challenges in this digitalization process. Speed and time are always challenges in logistics and crucial towards competitive advantage and real-time economy. In the era of digital business, with evolution of new business models management of digitalization will contribute a major role towards customer-service, information management, data-driven manufacturing and marketing in the logistic sector.

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.

2020_026

Field of Study:

Follow the waste of electrical and electronic equipment

Logistics - information systems

Contact Details:

Terje Andersen

Problem Description: 


Background: The amount of   waste from electrical and electronic equipment are increasing (Andersen,   Jæger & Mishra 2020). There is a growing need to implement circular   economy solutions ideally replacing the waste. Problems: It is only limited   knowledge on the actual reverse supply chain of electrical waste. In order to   move towards a circular economy, there is a need for information of waste   flow. 


Approach: Explore the flow of waste by a case study following the waste   through the reverse supply chain in a Lean Gemba Walk approach used for the   extended supply chain. 


Students: This thesis is suitable for students with   knowledge of logistics and supply chain management. 


Advisor: Please contact   PhD student Terje Andersen terje.andersen@himolde.no  


References: Andersen, T., Jæger, B., & Mishra, A. (2020). Circularity in   Waste Electrical and Electronic Equipment (WEEE) Directive. Comparison of a   Manufacturer’s Danish and Norwegian Operations. Sustainability, 12(13), 5236.   (See also references within this paper)

2020_027

Field of Study:

Evalueringsmodell – poengsetting av pris versus prissetting av kvalitet

Supply Chain Management

Contact Details:

Deodat Mwesiumo

Problem Description: Statens innkjøpssenter (a central purchasing body in Norway) is responsible for entering into and managing joint contracts for state agencies. The joint contracts are mandatory for all state administrative bodies in the civil sector.  The proble is presented as received:  "I Norge er poengsetting av pris mest utbrett. En utfordring med modellen oppstår når det er mer enn 100% prisforskjell. En annen utfordring med modellen oppstår når man vurderer prisene på tilbud opp mot et tilbud som ikke er aktuelt. For eksempel hvis man har 4 kvalifiserte tilbud, men skal tildele til 3. Dersom leverandør som blir innstilt som nummer 4 har lavest pris, kan dette medføre at rangeringen på tilbudene endres. Prissetting av kvalitet har ikke de samme utfordringene som poengsetting av pris. Modellen vurderer pris mot tilbudt kvalitet hos den enkelte leverandør og ikke mot laveste tilbudt pris. Modellen innebærer derimot at påslaget i pris for manglende kvalitet vil variere fra tilbud til tilbud. (Vi ser der ikke dette som et problem i seg selv, men dette er det mange som stusser over. 

Vi har simulert og sammenlignet modellene mot hverandre på flere konkurranser. I de fleste tilfellene vil man få samme rangering, men ikke i ekstremtilfellene hvor det skiller mye i pris. For at man skal være konfortabel med å ta ibruk modellen med prissetting av kvalitet, har vi behov for større (matematisk) forståelse av hvordan modellen virker og konsekvensene av å benytte denne versus poengsetting av pris"

2020_028

Field of Study:

Sammenheng mellom formålet i anskaffelsesregelverket og resultatene fra anskaffelsene

Supply Chain Management

Contact Details:

Deodat Mwesiumo

Problem Description: This research problem is given by The Norwegian Labour and Welfare Administration (NAV), an organization that administers a third of the national budget through schemes such as unemployment benefit, work assessment allowance, sickness benefit, pensions, child benefit and cash-for-care benefit. The problem is presented as received: "Er det funnet sammenheng mellom formålet i anskaffelsesregelverket og resultatene fra anskaffelsene, og for hvilke formål i anskaffelsesregelverket ser en størst effekt gjennom anskaffelsene?"

2020_029

Field of Study:

Hvordan offentlige oppdragsgivere kan få til innovasjon i kontraktsperioden

Supply Chain Management

Contact Details:

Deodat Mwesiumo

Problem Description: This research problem is given by the Norwegian Labour and Welfare Administration (NAV), which is an organization that administers a third of the national budget through schemes such as unemployment benefit, work assessment allowance, sickness benefit, pensions, child benefit and cash-for-care benefit. The problem is presented as received: "Hvordan offentlige oppdragsgivere kan få til innovasjon i kontraktsperioden?"

2020_030

Field of Study:

Anskaffelsesregelverket og formåls- og kostnadseffektivitet

Supply Chain Management

Contact Details:

Deodat Mwesiumo

Problem Description: This research problem is given by Statens innkjøpssenter (a central purchasing body in Norway) is responsible for entering into and managing joint contracts for state agencies. The joint contracts are mandatory for all state administrative bodies in the civil sector. The proble is presented as received: "På hvilken måte har anskaffelsesregelverket bidratt til formåls- og kostnadseffektivitet og hvordan måler man dette?"

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)

2020_032

Field of Study:

Contracting strategies for stimulating technological innovation in the public transport sector

Transport/contracting

Contact Details:

Lisa Hansson

Problem Description: The thesis proposal is linked to the ongoing research project “Innovation and technological change in public transport markets” (Lund University, Malmö University, VTI and HiMolde are academic partners). The public transport area is currently facing/undergoing rapid innovation changes (electrification, automation, micro mobility, cash-free ticket systems etc). At the same time, operations are largely framed by extensive procurement processes and long contracting periods, as well as mature markets with a few large tenderers. There is a tension between the rapid technological development on the one hand, and the stability given by the form of procurement on the other hand. The thesis will focus on contracting (public procurement) strategies that are used for stimulating technological innovation in the public transport sector. 

Example of themes (will be further developed in discussion with supervisor and student/s): What strategies are transport authorities using to stimulate innovation in procurement settings? How is innovation included in the contract design? Are some contracting designs more or less effective in relation to stimulate technological innovation? 

The project can take on an in-depth case study design (for example analyzing two or three procurement processes/transport authorities), or a broader comparative design, covering contracting structures linked to public transport innovation in different countries.

2020_036

Field of Study:

Environmental footprint consequences of using more marine ingredients for feeding in aqua culture

Informatics, sustainability, smart cities and innovation, mobile IT, autonomous vehicles and embedded/ubiquitous computing, information systems development

Contact Details:

Steinar Kristoffersen

Problem Description: There is an ambition to greatly increase the capacity of the Norwegian aqua culture sector. The Norwqegian innovation system, epecially the TTOs (technology transfer offices) currently work together the double the salmon stocks several times over, which means that new feed ingredients are called for. One alternative is meso-pelagic spieces, such as Maurolicus muelleri ("laksesild", or pearlside). 


The problem is that albeit the marine stocks of pearlside are massive, its role in the ecosystem is less understood. Moreover, it is troublesome to harvest, since it spoils easily, the waste blocks equipment and pumps and onshore the strains and sorting usually is too couarsly calibrated. In addition, the harvesting season falls alongside more profitable spiecies to catch for the ship owners. 


We aim in this project to be assembling the equations needed to model the alternative fisheries, stabilizing catches, keeping and sorting the resources, etc. opposite the benefits of increased yields froma aqua culture in order to calculate precisely the environmental footprint consequences of using more marine ingredients for feeding in aqua culture. The results may contribute to revolutionize the entire industry, not only in terms of realizing its growth potential, but also to indicate limitations and possibilities of alternative means of farming, such as on-shore farms or offshore floating barges.


motivating problem: Some marine resources seem plentiful for a great increase of aqua culture yields in Norway. However, as long as the environmental footprint is unknown, the required supply  chain will not be supported by the stakeholders. This research aim to be making a unique contribution towards formally modelling and quantifying the environmental impact of  marine harvesting, using logistical methods.

2020_040

Field of Study:

A Novel Approach for Airline Fleeting and Routing with Revenue Management Considerations

Quantitative Logistics

Contact Details:

Mohamed Ben Ahmed

Background: Fleet assignment and aircraft routing are two sequential steps in airline planning. The fleet assignment problem (FAP) matches aircraft types to flight legs in the airline’s network to maximize the total expected profit while fulfilling operational restrictions on passenger demand, fleet composition, and aircraft seat capacities. The aircraft routing model generates a route for each aircraft to ensure that the route-specific requirements for maintenance and connection times are satisfied.


Problem Description: However, it is known that the sequential approach is not able to maximize the total profit and often result in suboptimal problems. Some attempts were made to build aircraft schedules by considering integrating two or more planning processes (Hryhoryeva, Maryia, Master thesis, 2020). The model described here uses a path-based estimation of the revenue while ignoring the leg interdependency of revenues, caused by multi-leg itineraries. However, the benefits of integrating modeling revenue management in fleeting models are crucial when solving both airlines fleeting and routing. In this research, a novel model and solution approaches are proposed for assigning a fleet for fulfilling path-based demand while explicitly accommodating a nested seat allocation policy.


Outcome: After completion of the project, the master student is expected to: 1)express familiarity with the following topics: (i) Aircraft fleeting and routing, (ii) Revenue Management, (iii) Seat-inventory control problem, (iv) Nested and non-nested allocations, (v) Single-leg seat-inventory control problem (vi) Network multi-seat inventory control problem (very briefly). 2) Write a literature review on fleet assignment models with revenue management. 3) Formulate and solve a model of the Airline Fleeting and Routing Problem with Revenue Management Considerations.


Student: This topic is suitable for a student with knowledge in Quantitative Logistics, good programming skills, and a willingness to learn more about airline transportation problems. The student will have to use available data obtained from a major airline company.


Advisors: Prof. Lars Magnus Hvattum, Prof. Mohamed Haouari, and PhD fellow Mohamed Ben Ahmed.

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