2021-2022 Master Thesis Topics

2021_017

Field of Study:

Evalueringsmodell – poengsetting av pris versus prissetting av kvalitet

Supply Chain Management

Contact Details:

Deodat Mwesiumo

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"

2021_018

Field of Study:

Sammenheng mellom formålet i anskaffelsesregelverket og resultatene fra anskaffelsene

Supply Chain Management

Contact Details:

Deodat Mwesiumo

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?"

2021_019

Field of Study:

Hvordan offentlige oppdragsgivere kan få til innovasjon i kontraktsperioden

Supply Chain Management

Contact Details:

Deodat Mwesiumo

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?"

2021_020

Field of Study:

Anskaffelsesregelverket og formåls- og kostnadseffektivitet

Supply Chain Management

Contact Details:

Deodat Mwesiumo

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?"

2021_021

Field of Study:

Network design and operations planning for production problems

Production logistics / optimization (both qualitative and quantitative research)

Contact Details:

Yury Redutskiy

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 oil and gas, 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 that the processes are carried out with the best possible efficiency that they are beneficial in the long run.

The students who are willing to choose this research direction for their master thesis 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 decision-making framework integrating design and operations planning decisions. 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.

2021_022

Field of Study:

Workforce planning and employee scheduling for processes run in remote locations

Workforce organization / optimization (both qualitative and quantitative research)

Contact Details:

Yury Redutskiy

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 thesis 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.

2021_023

Field of Study:

Risk analysis in oil and gas industry operations

Logistics Analytics / Optimization

Contact Details:

Yury Redutskiy

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. The students who are willing to choose this research direction for their master thesis will have to study themselves (very intensively) risk analysis and risk management methods and techniques such as Event Trees, Fault Tree Analysis, Markov analysis, as well as decision-making approaches such as ALARP, ALARA, GAMAB and HSE's Social Risk Criterion.

The students will be required to narrow down the process from the petroleum sector and 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 role of various protective and reactive barriers in preventing and resolving incidents. Ultimately, the students will be required to study the details of the industrial processes and examine how the likelihood of incidents may be decreased by addressing the analysis of various failure modes and causes.

2021_024

Field of Study:

Smart management of loading and unloading zones in urban areas

Transport

Contact Details:

Tom Rye

Last mile logistics in older urban areas depends on the availability of kerbspace for loading and unloading.  The operation of traffic limited zones (e.g. pedestrian zones) must facilitate loading and unloading but at the same time ensure that the environment of the traffic limited zone is maintained and enhanced.  These factors lead to a number of problems with regard to the prediction of demand for loading and unloading, the allocation of sufficient kerbspace, the flexible use of this space, access to traffic limited zones, and the enforcement of access regulations in these zones.  In this masters thesis work, the student should seek to develop and evaluate proposals for better, more flexible and “smarter” management of these issues that ultimately optimizes the use of limited loading and unloading space whilst at the same time improving its provision.

2021_027

Field of Study:

Delayed Improvement Local Search for the p-center problem

Optimization

Contact Details:

Sebastian Urrutia

Delayed Improvement Local Search (DILS) is a brand-new local search approach that showed very promising results for two classic combinatorial optimization problems. The p-center problem is another classic optimization problem in which one has to select p elements of a large set of locations, to act as serving facilities for the entire set. The objective is to minimize the maximum distance from an unselected location to the closest selected location. A simple local search approach from the literature works very well and is currently the state-of-the-art in terms of heuristic algorithms for the problem. In this project, we design and implement a heuristic algorithm for the p-center problem applying the DILS framework over the state-of-the-art local search approach with the objective of improving its performance.