Freight transportation changes in the region of Stockholm lead municipalities to the need of finding ways to maintain and empower their current logistics role in the area. These changes are the operation of the future freight port in Norvik near Nynäshamn, the expansion of Stockholm leading to new freight transportation networks, and the extension of the double track line southern to Västerhaninge station. Haninge municipality is willing to keep the interest of existing companies in its land alive and perhaps increase its’ attractiveness by constructing an extension of the terminal in Jordbro. But before proceeding to that step, the municipality wants to investigate whether companies are aware of these changes and furthermore if they have plans for changing their current goods transportation patterns. It is also interested in finding out the factors that companies consider as the most important when they take decisions about their goods transportation plan. That way the municipality knows what is important for companies and can adjust the supply of infrastructure to their demands. The main method used for data collection is designing and conducting a questionnaire and for data analysis it is multi-criteria analysis (MCA). The questionnaire also includes questions about the nature of the company and the current ways of goods transportation. Although the number of responders is quite low, some general conclusions could be made. There are two alternatives competing and multi-criteria analysis leads to the selection of the most suitable one. There are several limitations and assumptions which can be overcome by further future research.

Decision making processes of natural resources for sustainable development are very complex processes that contain large amounts of contradicting criteria and alternatives and/or objectives. Hence efficiency of planning and decision making is highly dependent on the structure of the decision problems. In this re-spect Multi Criteria Decision Aid (MCDA) is the most widely used method. Particularly GIS-based MCDA using the Analytical Hierarchy Process (AHP) is a well-known method in this respect. However, there are interrelationships and interdependences among problems of the real world. As a result, many spatial problems cannot be structured hierarchally because the importance of the criteria determines the importance of the alternatives, and the importance of the alternatives also determines the importance of the criteria. Analytical Network Process (ANP) based MCDA is a new planning and decision making ap-proach that allows the decision problem to be modeled considering feedbacks and interdependence among criteria. This study critically reviews GIS-based MCDA using the AHP method and the ANP based MCDA method and forwarded recommendations for future works. To attain this, practical decision making processes were used of urban form selection for a sustainable development of the Stockholm region. For this purpose literature was reviewed, separate methodologies were developed, criteria were formulated to be analyzed using GIS and SuperDecision software‟s, and finally reasonable results were achieved and separately presented to critically evaluate both the methods and the outcome. This study showed that GIS has the potential to be an important decision aid tool, that the ANP seems to give more realistic results than the GIS-based MCDA method, and that a compact scenario that over time follows already established polycentric pattern would be the best alternative urban form for a sustainable develop-ment of Greater Stockholm.

Oriflame is a famous international direct sale cosmetics company with complicated supply chain operation but it lacks of a product classification system. It is vital to design a product classification method in order to support Oriflame global supply planning and improve the supply chain performance. This article is aim to investigate and design the multi-criteria of product classification, propose the classification model, suggest application areas of product classification results and introduces the product classification system into Oriflame ERP system. The research scope is defined within Oriflame supply chain from the order placed to suppliers by Global Supply department to the products received in Global Hubs.Investigation approaches in this article including information collection, multi-criteria integration, and quantified analysis. In addition, sample calculation and test to stakeholder departments have been done after the proposal of product classification system.The product classification applies a cross tabulate matrix to classify products into four classes (ABCD classification), it is believed that the results keep consistent at high level with both the calculation time horizons‟ increasing and the monthly forecast report update.Hence, Product Classification System is supposed to be applied in supply planning prioritization, inventory management and workforce balancing, etc.

Food waste is a global concern due to its negative contribution to all aspects ofsustainability and organizations are looking for new ways to directly impact their own food waste and operate their business in a more sustainable way. Part ofthe food waste stems from warehouse activities where mishandling and poorly packed rolling storage containers (RSCs) lead to damaged items during transport. The storage assignment dictates how the items are ordered in awarehouse and is therefore responsible for how items are packed into RSCs. Due to the lack of previous research in this area, this thesis aims to investigate how the multi-criteria ABC-analysis can be used to optimize the storage assignment with the intent of minimizing food waste. A qualitative case study at Warehouse X was conducted where ten employees highlighted several criteria such as weight, volume, and similarity, that all need to be considered when optimizing the storage assignment. A total of nine criteria were used to generate eight classes that are used in the proposed multi-criteria ABC-analysis. The proposed model can be used by all actors in the Swedish food industry to improve their warehouse operations and operate them in a more sustainable way to reduce their food waste. It is also generalizable to warehouses outside the Swedish food industry

The average global surface temperature increased by 0.85 °C since 1850 because of irrepressible increase of the concentration of greenhouse gases (GHG). Electricity generation is the primary source of GHG emissions in the United States. Hence, renewable energy sources, which produce a negligible amount of GHG emissions, have gained enormous attention, especially in the electricity generation sector over the past decade. Wind power is the second largest renewable energy source to generate electricity in the United States. Therefore, in this study, a two-stage Data Envelopment Analysis (DEA) is developed to quantitatively evaluate the relative efficiencies of the 39 state's wind power performances for the electricity generation. Both input- and output-oriented CCR (Charnes, Cooper, and Rhodes (1978)) and BCC (Banker, Charnes, and Cooper (1984)) models are applied to pre-determined four input and six output variables. The sensitivity analysis is conducted to test the robustness of the DEA models. Tobit regression models are conducted by using the DEA results for the second stage analysis. The DEA results indicate that more than half of the states operate wind power efficiently. Tobit regression indicates that early installed wind power was more expensive and less productive relative the currently installed wind power. Findings of this study shed some light on the current efficiency assessments of the states and the future of wind energy for both energy practitioners and policy makers.

Due to the rapid growth of the wind energy market over the last decade, the future of the industry will consequently see the dismantling of many wind turbines, both due to wind turbines reaching the end of their service life and to make way for surpassing technology, leaving behind a large amount of material that must be dealt with. Furthermore, due to the advancing technology of wind turbines, there has been a decline in the number of medium sized wind turbines being manufactured. This study aims to address the problem of future waste mitigation, whilst attempting to capture the medium scale market. As such, the study has looked at the idea of transitioning towards a circular economy, in which wind turbines are not considered as waste at the end of their service life, but rather an opportunity to recapture value through remanufacturing. This was approached by identifying the driver and barriers of remanufactured products, utilising knowledge from other industries with developed remanufacturing sectors. A Multi-Criteria Decision Analysis (MCDA) has been performed using the PROMETHEE II method with the objective of drawing a comparison of three scenarios, enveloped by a theoretical wind turbine selection project. The scenarios were created by the author and considered the implementation of a new wind turbine and remanufactured wind turbines. Upon examining the results of the multi criteria decision analysis, it was seen that the benefits of implementing remanufactured turbines were preferred by the majority of the stakeholders involved.

Dans le cadre de la transition des sociétés vers le développement durable, le rôle des universités est de plus en plus mis en évidence. A cet égard, l’évaluation, en tant qu’outil d’accompagnement des organisations pour l’amélioration de leurs performances, peut s’avérer d’une aide précieuse.Le potentiel d’application de l’évaluation reste toutefois limité. L’université et la durabilité apparaissent comme des objets normatifs dont la définition du contenu est source de nombreuses oppositions. En outre, leur réalité est évolutive et sujette à d’importants degrés d’incertitude et de complexité paradoxale.Le présent travail vise à déterminer les conditions à travers lesquelles l’évaluation peut apporter un avantage, sinon constituer un frein, à l’amélioration des performances des universités en matière de durabilité. Il se présente en deux grandes parties.La première porte sur la construction théorique de la norme d’évaluation des « performances durables de l’université». Elle repose sur l’examen approfondi des spécificités de l’université et de la durabilité ainsi que sur une analyse empirique de plusieurs cas pratiques relevés à l’international.La deuxième partie confronte et consolide les enseignements de la première en se concentrant sur le développement d’une méthodologie opérationnelle d’évaluation. Pour ce faire, un processus participatif multi-parties prenantes a été mis en œuvre et a conduit à la construction d'un dispositif multidimensionnel regroupant plus de 50 indicateurs. Cet outil se veut être une contribution à l’édification de systèmes d’évaluation mis à disposition des acteurs académiques pour l’identification de pistes d’amélioration de leurs performances au regard du développement durable. / In the context of the transition of societies towards sustainable development, the role of universities is increasingly highlighted. In this respect, assessment, as a support tool for organizations whishing to improve their performance, can be of great assistance. Opportunities for the application of assessment remains however limited. The university and sustainability are normative objects and their definition is subject to considerable opposition. In addition, their reality is progressive and characterized by high levels of uncertainty and paradoxical complexity.This work aims to determine the conditions under which assessment practices can support, or otherwise hinder, the performances of universities toward sustainability. It comes in two parts.The first part focuses on the theoretical construction of an evaluation norm for the "sustainable performances of universities". It is based on a comprehensive review of the specific features of the university and sustainability, as well as on an analysis of several best practices identified internationally. The second part compares and strengthens those findings by focussing on the design of an operational assessment methodology. This research was conducted through a multi- stakeholder participatory process that led to the building of a multidimensional framework comprising more than 50 indicators. This tool aims to be a contribution to the development of assessment methods for academic actors willing to identify ways of improving their performances with respect to sustainability.

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When developing a material handling system (MHS) it is crucial to master the various aspects for each developing step to increase the efficiency of the MHS. This Master’s thesis is aimed to identify conceptual solutions of a MHS and analyse the advantages and challenges for each of the developed concepts. Automation and implementation into a factory setting has taken into great consideration for this study. Two research questions (RQ) and three goals were formulated: RQ1: Which conceptual solutions of a material handling system for a high-pressure processing machine can be developed? RQ2: What are the challenges and advantages of each designed concept in terms of automation and implementation? Goal1: Develop three conceptual solutions of a material handling system. Goal2: Identify target specifications and determine their margin and ideal values for evaluation of the three conceptual solutions. Goal3: Analyse each developed material handling system and determine which concept is best out of the three in relation to the target specifications Automation has proven to be a key cause for achieving an effective MHS on the market and the two main reasons for this are, one: the elimination of ongoing labour cost and second; an increase of the overall safety factor for the system. The thesis, using the design research methodology (DRM) type two, consisting of an in-depth literature review and case study that contributed to evaluation and comparison of developed concepts. The literature review contributed to identifying the necessary steps of the structure of the MHS and required tools for the development phase. For the case study, the projects developing phase were taken from Ulrich, Eppinger and Yang (2020) ´s developing method. Identified tools and knowledge from the literature was used throughout the entire case study such as multi criteria decision making (MCDM), computer aided design (CAD), material flow patterns, automation and high-pressure processing (HPP). The findings of the case study showed that there are multiple concepts that can be developed. However, fully automated MHS are preferred when analysing the advantages and challenges for each fully developed MHS concept. The study resulted in three MHS concepts. Two fully automated ones and one semi-automated. The two fully automated MHS concepts showed more promising results than the semi-automated one. This was based on the MCDM-matrix which evaluated every MHS concept in relation to multiple criteria and failure mode effect analysis (FMEA) which investigated safety factors such as human safety and risk of MHS failure. Calculations such as capital cost and operational cost was also considered when analysing the differences between the MHS concepts. A fully automated MHS is not necessarily more costly in capital investment compared to semi-automated systems for the same HPP machine. Human labourers are, in semi-automated systems however, more precise in packaging operations, but also raises the operational costs substantially.

Sustainability within automotive industry has been an important topic that is covered in several studies. Due to the multi-aspect nature of sustainability and the variety of the factors need to be taken in consideration when choosing a material, the decision-making process could be challenging. This study focuses on lubricants within the automotive industry and proposes a framework consisted of three milestones that aspire to assist automotive manufacturers in sustainable lubricant selection. The study uses LCA as an environmental assessment tool for fully formulated lubricants and multicriteria decision matrix to include other criteria indicators in the decision-making process quantitively. The study also contributes to the literature by performing LCA for fully formulated lubricants. The framework was applied on well-established case company within the automotive industry (Volvo Cars Corporation) in Sweden. The results showthe importance and significant impacts of the inclusion of the additives in LCA studies done on lubricants using CV joint grease as a case study. It also shows the effect of the organisational preferences on the final results of the framework.