Användandet av digitaliseringsteknologier har blivit allt vanligare i supply chain management. Denna studie undersöker utmaningar och möjligheter med digitalisering av transportsektorn. Projektets genomförande grundar sig på litteraturstudier av akademiska artiklar. Artiklarna erhölls via Internetbaserade databaser som exempelvis Diva-portal, Google Scholar, KTH Primo, ScienceDirect, Scopus och Springer. Dessutom intervjuades fem doktorander och representanter från olika företag för att få en djupare inblick och förståelse för sektorn och dess utmaningar samt möjligheter. Resultaten tyder på att det förekom varierande drivkrafter till digitalisering av transportsektorn, såsom: ökad effektivitet och produktivitet, minskade kostnader och miljöpåverkan samt förbättrad kundupplevelse. Implementeringen av digitaliseringsteknologier skapar också många möjligheter, exempelvis förbättrad spårbarhet och säkerhet i leveranskedjan, mer automatiserade och snabbare processer samt ökad tillgänglighet och flexibilitet för kunder. För en framgångsrik implementering av digitaliseringsteknologier inom transportsektorn krävs övervinnande av flera utmaningar. Dessa inkluderar tekniska hinder som systemintegration och it-säkerhet, samt kulturella och organisatoriska hinder som bristande samarbete mellan aktörer och motstånd mot förändring. Slutligen konstateras att det är viktigt att transportföretagen arbetar aktivt med att övervinna dessa utmaningar och dra nytta av de möjligheter som digitaliseringen erbjuder. En stegvis implementering tillsammans med ett öppet samarbete mellan aktörer i sektorn kan bidra till en smidig övergång till en digitaliserad transportsektor. Detta kan förbättra både effektiviteten och hållbarheten i branschen. / The use of digitalization technologies is increasingly prevalent in supply chain management. This study explored the challenges and opportunities of digitizing the transport sector. The project was based on literature studies of academic articles. These articles were found through internet based databases such as Diva Portal, Google Scholar, KTH Primo, ScienceDirect, Scopus, and Springer. Additionally representatives from various companies and PhD students were interviewed to gain a deeper understanding of the sector and the challenges and opportunities they face. The results indicated that there were various driving forces for the digitization of the transport sector including increased efficiency and productivity, reduced costs and environmental impact, and improved customer experience. Implementing digitization technologies also creates many opportunities such as improved traceability and security in the supply chain, more automated and faster processes as well as increased accessibility and flexibility for customers. For a successful implementation of digitalization technologies in the transportation sector, several challenges need to be overcome. These include technical barriers such as system integration and IT security, as well as cultural and organizational barriers. Which include a lack of collaboration between stakeholders and resistance to change. In conclusion it is essential that the transport companies actively work to overcome these challenges and take advantage of the opportunities that digitization offers. A gradual implementation, combined with open collaboration among stakeholders in the sector, can contribute to a seamless transition to a digitalized transportation sector. This can improve both the efficiency and sustainability of the industry.

This dissertation examines the challenges associated with disruptions in supply chain financing and the railway transportation network. The study is divided into six chapters: In Chapter 1, we introduce the core problems under investigation. Chapter 2 investigates supply chain financing, emphasizing trade credit and bank credit—two predominant external financing mechanisms. Given the inherent uncertainties in demand, interest rates, and supplier credit ratings, this chapter introduces a stochastic programming model accounting for demand uncertainty. Subsequently, a robust optimization program is applied, whose complexity demands a specialized solution methodology. By analyzing a case study centered around a prominent U.S. retailer, the research reveals key insights into decision-making processes related to financing, the effects of bargaining power on portfolio mix and profits, and the relative importance of interest rate uncertainties over supplier credit ratings. Chapter 3 introduces a game-theoretical model designed to hedge financing risks in supply chains, with a focus on the application of insurance for both trade and bank credits. To support the design of effective supply chain finance contracts, three distinct contracts are developed, aiming to synchronize both financial and material flows within the supply chain. A significant feature of this chapter is the data-driven approach employed to address the potential bankruptcy risks that can arise from borrowing loans. Alongside this, a novel solution algorithm is introduced to solve the proposed non-convex models. A case study involving Ford Motor Company and a Chicago-based retailer enriches the research with real-world context. The findings offer several managerial insights: the strategic advantages of different insurance services vary based on the risk attitudes and profit margins of participants. For example, when a retailer operates with a lower profit margin, the use of Trade Credit Insurance (TCI) is recommended in conjunction with a risk-seeking retailer, while a risk-averse retailer might diminish the benefits of TCI. Conversely, with high profit margin retailers, the adoption of Payment Protection Insurance (PPI) is advised under all conditions. In Chapter 4, a game-theoretical model for risk mitigation within railway transportation is introduced. This model addresses random disruptions by employing strategies like repair, re-routing, third-party services, and leasing capacity from competing rail companies. Through a U.S. case study, the efficacy of these strategies is examined, with renting railcars emerging as a particularly potent approach to enhance resilience and reduce third-party expenses. The research further suggests that negotiations extending delivery dates can significantly diminish post-disruption costs. Finally, Chapter 5 summarizes the primary contributions of this research, laying the groundwork for prospective studies in this domain. / Thesis / Doctor of Philosophy (PhD)

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Globalization, geopolitics, and socio-economic uncertainties increase supply chain vulnerabilities. Climate changes, natural disasters, and man-made accidents have increased the tension of disturbances. The COVID-19 pandemic has disrupted many supply chains worldwide, putting the agri-food supply chain at a higher risk than ever. Agri-food supply chains face severe and complex challenges due to industry-specific characteristics, such as perishability, short shelf life, long lead time production, and weather dependence. Consumer awareness of having healthy, traceable, and environmentally friendly food products has become an increasing concern, making sustainable development also a vital factor in the agri-food industry. To ensure sustainable development, firms must improve supply chain resilience by discovering, nurturing, and developing resilience capability and competitive advantage. Resilience describes the ability to respond quickly to disruptions and help the supply chain recover. Recently, digital technologies have developed rapidly, supported by the Industrial Revolution 4.0, which plays a crucial role in a company's operations. Digital technologies help promote core resilience competencies such as visibility, collaboration, and agility through typical technologies such as blockchain, artificial intelligence, fifth-generation technology, big data analytics, additive manufacturing, tracking, tracing technologies, etc. This study uses a theoretical framework from dynamic capabilities and extant literature reviews to determine the research gap in the agri-food industry. The study uses mixed methods: a qualitative research method to examine and uncover the role of supply chain resilience in responding to disruptions in the agri-food industry, and a second study used a quantitative method to examine the influence of digital technologies on resilience in the agri-food supply chain. This study confirms the critical role of resilience in the agri-food supply chain and the significance of digital technologies in improving supply chain resilience and firm performance. The study also suggests that a firm should proactively build its resilience capability rather than learn from past disruptions. The findings are useful for academics and practitioners alike, in the acknowledgment of the significant effects of digital technologies on supply chain resilience in the agri-food industry. Some technologies are not agri-food specific but have a place in the industry, while others are tailor made for farming applications. Parties in the agri-food industry must take advantage of Industrial Revolution 4.0 and digital technologies to flourish in the agri-food industry. / Business Administration/Interdisciplinary

Biomass-based CHP (bCHP) can provide reliable electricity in remote and rural areas because it is an on-site generation resource, and it is designed to support continued operations in the event of a disaster. However, the benefits of such facilities can only be realized if a reliable and economical feedstock supply system is designed, given the system not only efficiently transports biomass under normal scenarios (e.g., when depots and transportation links are functioning properly) but also hedges against unexpected infrastructure/transportation link failures due to severe weather events (e.g., hurricanes). To serve this purpose, this study proposes a three-stage stochastic programming model to design a reliable feedstock supply system, where decisions are made sequentially to realistically represent pre-and-post disaster situations) under uncertain infrastructure status (e.g., unavailability of the road and facility conditions) and customer demand situations. In stage one, pre-disaster decisions are made (e.g., the opening of depots and regular feedstock transportation decisions), while stages two and three represent, respectively, immediate decisions following a disaster (e.g., damaged timber transportation, pellet production) and post-disaster decisions (e.g., transportation pellets to end-users, storage) with a timeframe between several days to weeks. By collecting data from 15 coastal rural counties in Mississippi, we create a real-life case study and derive important managerial insights. Our experimental results reveal that the biomass-to-bCHP supply chain decisions (e.g., depot location, storage, transportation decisions) are highly sensitive to intensity and the probabilistic infrastructure availability following a hurricane. The second chapter extends the research by introducing high and low priority end-users so the demand prioritization is met.

[ES] La Gestión de la Cadena de Suministro se define como un conjunto de acciones que permiten a las empresas gestionar, planificar y controlar sus operaciones como una forma de facilitar la colaboración entre los miembros de la Cadena de Suministro. Para ser más eficaces y eficientes, las empresas están cada vez más dispuestas a rediseñar sus estrategias de Gestión de la Cadena de Suministro y a adoptar prácticas de gestión. Esta tesis doctoral analiza cómo se interrelacionan algunas variables relacionadas con la eficacia y la eficiencia en la Gestión de la Cadena de Suministro, y el posible impacto de estas interrelaciones en los resultados empresariales. Específicamente, profundizamos en las relaciones entre Cloud Computing, Integración de la Cadena de Suministro, Flexibilidad de la Cadena de Suministro, Personalización en Masa y Lean Production (que son variables asociadas con la eficacia y eficiencia de la Cadena de Suministro) y su papel en los resultados empresariales. En esta tesis, inicialmente consideramos dos factores importantes para conseguir eficacia y eficiencia en la Cadena de Suministro. Así, un primero factor estaría formado por la interrelación entre el uso de Cloud Computing, un nuevo paradigma en la interpretación de las Tecnologías de la información, y la Integración de la Cadena de Suministro. Bajos niveles en este factor permitirán a las empresas conseguir sus objetivos (ser eficaces) pero empleando muchos más recursos (menos eficientes) que altos valores en este factor. Un segundo factor recoge la interrelación de la Flexibilidad de la Cadena de Suministro y la Personalización en Masa. De forma similar al factor anterior, bajos niveles en este factor estarían asociados a una menor eficiencia (aun siendo eficaces), mientras que altos niveles, estaría asociados a una alta eficiencia. Ambos factores son consideradas en esta tesis, en primer lugar, de forma aislada, mediante revisiones sistemáticas de la literatura que permiten identificar qué se sabe en la literatura sobre la relación existente entre las variables que conforman cada factor. En segundo lugar, en esta tesis, se realiza un análisis explicativo en que se considera el efecto de Lean Production, y su relación con cada uno de los factores, lo que estaría asociado a unos altos niveles de eficiencia en la Cadena de Suministro, y se analiza cómo el efecto conjunto de Lean Production y cada uno de los factores (variables) consideradas afecta a los resultados de la empresa. Finalmente, en esta tesis se consideran todas las variables de forma conjunta (ambos factores y el efecto de Lean Production, actuando sobre los resultados empresariales), en un modelo holístico que utiliza la simulación para analizar el comportamiento del modelo. El valor de esta tesis es que académicos y gerentes de negocios pueden tener evidencia de apoyo sobre el papel que juegan Cloud Computing, Integración de la Cadena de Suministro, Flexibilidad de la Cadena de Suministro, Personalización en Masa y Lean Production, vinculadas operativa y estratégicamente, y cómo esta combinación podría transformarse en un mejor desempeño empresarial. El mejor conocimiento de estas relaciones puede afectar la manera en que investigadores y directivos abordan estos recursos de gestión, siendo más conscientes del importante papel de la Cadena de Suministro en la competitividad. Este trabajo se diferencia de los aportes anteriores por proporcionar enfoques teóricos y empíricos de las posibles interrelaciones entre las variables antes mencionadas. Los resultados de este estudio, por lo tanto, podrían ser muy útiles en el diseño de futuros esfuerzos de investigación en esta área. / [CA] La Gestió de la Cadena de Subministrament es defineix com un conjunt d'accions que permeten a les empreses gestionar, planificar i controlar les seues operacions com una manera de facilitar la col·laboració entre els membres de la Cadena de Subministrament. Per a ser més eficaços i eficients, les empreses estan cada vegada més disposades a redissenyar les seues estratègies de Gestió de la Cadena de Subministrament i a adoptar pràctiques de gestió. Aquesta tesi doctoral analitza com s'interrelacionen algunes variables relacionades amb l'eficàcia i l'eficiència en la Gestió de la Cadena de Subministrament, i el possible impacte d'aquestes interrelacions en els resultats empresarials. Específicament, aprofundim en les relacions entre Cloud Computing, Integració de la Cadena de Subministrament, Flexibilitat de la Cadena de Subministrament, Personalització en massa i Lean Production (que són variables associades amb l'eficàcia i eficiència de la Cadena de Subministrament) i el seu paper en els resultats empresarials. En aquesta tesi, inicialment considerem dos factors importants per a aconseguir eficàcia i eficiència en la Cadena de Subministrament. Així, un primer factor estaria format per la interrelació entre l'ús de Cloud Computing, un nou paradigma en la interpretació de les Tecnologies de la informació, i la Integració de la Cadena de Subministrament. Baixos nivells en aquest factor permetran a les empreses aconseguir els seus objectius (ser eficaços) però emprant molts més recursos (menys eficients) que alts valors en aquest factor. Un segon factor recull la interrelació de la Flexibilitat de la Cadena de Subministrament i la Personalització en massa. De forma similar al factor anterior, baixos nivells en aquest factor estarien associats a una menor eficiència (fins i tot sent eficaces), mentre que alts nivells, estaria associats a una alta eficiència. Tots dos factors són considerades en aquesta tesi, en primer lloc, de forma aïllada, mitjançant revisions sistemàtiques de la literatura que permeten identificar què se sap en la literatura sobre la relació existent entre les variables que conformen cada factor. En segon lloc, en aquesta tesi, es realitza una anàlisi explicativa en què es considera l'efecte de Lean Production, i la seua relació amb cadascun dels factors, la qual cosa estaria associat a uns alts nivells d'eficiència en la Cadena de Subministrament, i s'analitza com l'efecte conjunt de Lean Production i cadascun dels factors (variables) considerades afecta als resultats de l'empresa. Finalment, en aquesta tesi es consideren totes les variables de forma conjunta (tots dos factors i l'efecte de Lean Production, actuant sobre els resultats empresarials), en un model holístic que utilitza la simulació per a analitzar el comportament del model. El valor d'aquesta tesi és que acadèmics i gerents de negocis poden tindre evidència de suport sobre el paper que juguen Cloud Computing, Integració de la Cadena de Subministrament, Flexibilitat de la Cadena de Subministrament, Personalització en massa i Lean Production, vinculades operativa i estratègicament, i com aquesta combinació podria transformar-se en un millor acompliment empresarial. El millor coneixement d'aquestes relacions pot afectar la manera en què investigadors i directius aborden aquests recursos de gestió, sent més conscients de l'important paper de la Cadena de Subministrament en la competitivitat. Aquest treball es diferencia de les aportacions anteriors per proporcionar enfocaments teòrics i empírics de les possibles interrelacions entre les variables abans esmentades. Els resultats d'aquest estudi, per tant, podrien ser molt útils en el disseny de futurs esforços d'investigació en aquesta àrea. / [EN] Supply Chain Management is defined as a set of actions that allow companies to manage, plan and control their operations as a way to facilitate collaboration between Supply Chain members. To be more effective and efficient, companies are increasingly willing to redesign their Supply Chain Management strategies and adopt management practices. This doctoral thesis analyses how some variables related to effectiveness and efficiency in Supply Chain Management are interrelated, and the possible impact of these interrelations on business performance. Specifically, we delve into the relationships between Cloud Computing, Supply Chain Integration, Supply Chain Flexibility, Mass Personalization and Lean Production (which are variables associated with the effectiveness and efficiency in the Supply Chain) and their role in business performance. In this doctoral thesis, we initially considered two important factors to achieve effectiveness and efficiency in the Supply Chain. A first factor would be the interrelation between the use of Cloud Computing, a new paradigm in the interpretation of Information Technologies, and Supply Chain Integration. Low levels in this factor will allow companies to achieve their goals (be effective) but using many more resources (less efficient) than high values in this factor. A second factor is the interrelationship of Supply Chain Flexibility and Mass Personalization. Similar to the previous factor, low levels of this factor would be associated with lower efficiency (even if effective), while high levels would be associated with high efficiency. Both factors are considered in this thesis, in the first place, in an isolated way, by means of systematic literature reviews that allow identifying what is known in the literature about the existing relation between the variables that conform each factor. Secondly, an explanatory analysis is made in which the effect of Lean Production is considered, and its relation with each one of the factors, which would be associated with high levels of efficiency in the Supply Chain, and it is analysed how the joint effect of Lean Production and each one of the factors (variables) considered affects business performance. Finally, this thesis considers all variables together (both factors and the effect of Lean Production, acting on business performance), in a holistic model that uses simulation to analyse the model's behaviour. The value of this doctoral thesis is that academics and business managers can have supporting evidence on the role played by Cloud Computing, Supply Chain Integration, Supply Chain Flexibility, Mass Personalization and Lean Production, operationally and strategically linked, and how this combination could be transformed into better business performance. The better knowledge of these relationships can affect the way researchers and managers approach these management resources, being more aware of the important role of the Supply Chain in competitiveness. This work differs from previous contributions in that it provides theoretical and empirical approaches to the possible interrelations between the variables mentioned above. The results of this study, therefore, could be very useful in the design of future research efforts in this area. / This doctoral thesis has been developed thanks to the support of the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) of Brazil and the Spanish Ministry of Economy and Competitiveness Research Project ECO2015-65874-P. / Romualdo Novais, L. (2019). CLOUD COMPUTING, SUPPLY CHAIN INTEGRATION, SUPPLY CHAIN FLEXIBILITY AND MASS PERSONALIZATION: INTERRELATIONSHIPS WITH LEAN PRODUCTION AND PERFORMANCE [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/121460

No / The purpose of this paper is to theorise and develop seven dimensions (strategic supplier partnership, level of information sharing, quality of information sharing, customer service management, internal lean practices, postponement and total quality management) into a supply chain management (SCM) practices (SCMPs) construct and studies its causal relationship with the conceptualised constructs of supply chain performance (SCP) and manufacturing firms’ performance (MFP). The study also explores the causal relationship between SCP and MFP. Data were collected through a survey questionnaire responded by 249 Jordanian manufacturing firms. The relationships proposed in the developed theoretical framework were represented through three hypotheses: H1 – there is a significant relationship between SCMPs and SCP; H2 – there is a significant relationship between SCMPs and MFP; and H3 – there is a significant relationship between SCP and MFP. Linear regression, ANOVA and Pearson correlation were used to test the hypotheses. The results were further validated using structural equation modelling. The results indicate that SCMPs have a positive effect on SCP (H1), which in turn also positively affect MFP (H3). Despite this intermediary positive effect of SCMP on MFP through SCP, the study also suggests that SCMPs have a direct and positive effect on MFP (H2). This study provides hard evidence indicating that higher levels of SCMPs can lead to enhanced supply chain and firms’ performance. It also provides SC managers of manufacturing firms with a multi-dimensional operational measure of the construct of SCMPs for assessing the comprehensiveness of the SCMPs of their firms. This study is among the very first SCM researches conducted on the Jordanian manufacturing sector, particularly, in relation to the practices that manufacturing firms in this country need to adopt to make their supply chains a solid competitive vehicle for their development. The results have broader implications for all manufacturing companies, particularly in developing economies where the growth of manufacturing and the development of integrated supply chains are key stages in economic development.

Yes / This study has addressed and identified the problems in managing the existing emergency supply chain of Bangladesh in all phases of operation in terms of the primary drivers of the supply chain. It has also attempted to conceptualize and suggest an effective emergency supply chain. In this context, a thorough field investigation in several districts was conducted among the employees of the organizations sharing common information with similar protocols and implications (interoperable). Information was collected from the employees of all the participating organizations involved in disaster management through a semi-structured questionnaire based survey. The respondents addressed and illustrated several interconnected reasons which are inhibiting proper forecasting, procurement, storage, identification of affected people, and distribution. The respondents pointed out that the mismatching of objectives in the different organizations resulted in non-interoperability among the participating organizations. These issues are related to the malfunctioning of management with multidimensional organizational conflicts. Reflecting those issues, an emergency supply chain for disaster management is proposed in this study

Recent developments in artificial intelligence (AI) have sparked a large interest across various sectors, where it has been praised for its capabilities of transforming the way businesses operate. The food supply chain (FSC) is a particularly complex and unique supply chain due to its nature of dealing with perishable products. With sustainability becoming an increasingly important aspect for stakeholders, it stresses the importance of the FSC optimizing their operations to ensure minimal environmental impact while maximizing efficiency. Although the topic of AI is widely discussed in society, research concerning the topic remains limited. While the existing literature frequently discusses AI’s potential in broad terms, it is lacking in showcasing the practical effects it can entail within specific industries. Therefore, investigating the implications of the technology in the FSC is highly relevant from both a practical and theoretical standpoint. The study’s purpose is to contribute with insights into how the implementation of AI has affected food supply chains in Sweden. It holds an exploratory research design and an inductive research approach, taking the perspective of the inbound logistics part of the FSC. To gain a clear understanding of what practical effects AI has entailed, the study highlights both the dynamics of the FSC before implementing AI, as well as its dynamics after implementing it. This study used a qualitative method with semi-structured interviews to obtain its empirical data. The interviews were conducted with two of the large food retailers in Sweden, and a thematic analysis was then employed to identify a few key areas that the empirical findings showed.  The results show that the main areas where AI has affected the FSC is in (1) time-savings, (2) inventory management, (3) waste management, and (4) internal supply chain efficiency. The common denominator between these areas was identified to be the improved forecasting ability that AI provides. Forecasts play a significant role in improving efficiency since they entail a supply chain-wide impact where both suppliers, warehouses, and ultimately the end-customer are impacted from them. However, the findings indicate that although AI is an effective tool, it remains to have certain limitations and still requires human maintenance to properly function.