The reverse part of the supply chain becomes more and more important due to the legislation, environmental concerns, higher volumes of returns, etc. As a result, companies cannot see the reverse supply chain as the additional costs only and have to think strategically. The right strategy for the reverse supply chain can help to achieve the competitive advantage. However, there are not so many researches made about strategies for the reverse supply chain yet, contrarily to the forward supply chain. Therefore, the need to adopt strategies for the reverse supply chain appears. The purpose of this thesis is to analyze the applicability of the Lean and the Agile concepts in the Reverse Supply Chain strategy, and to investigate the driving forces and challenges for the implementation of the strategy in the Reverse Supply Chain. The inductive research approach was applied in this thesis. The qualitative study was the most suitable for the better understanding of the point of view, the attitudes, the perceptions of the interviewed participants regarding a wide range of issues related to the choice, and the implementation of the strategy for the reverse supply chain. Multiple case studies as the research strategy was chosen, thus data was collected from 13 interviews conducted at four companies: Fläkt Woods, Systemair, Swegon and Rettig ICC. The main conclusions from the analysis of the applicability of the lean and the agile concepts in the reverse supply chain are that the design of the reverse supply chain depends on the characteristics of the returns: the size, the volume, the life cycle, the B2B or the B2C returns; as well the reasons for the returns: the guarantee service/ after warranty service. When weighting the results about the lean and the agile concepts implementation in the reverse supply chain, it appears relatively more likely that none of the companies implement either only the lean or only the agile approach. Due to various reasons, there are different material flows and they require different strategic approaches. The agility is implemented close to the customer in order to ensure speed and high responsiveness. Lean flows are implemented from the manufacturer to the supplier or the third party (recycler, etc.). Even more, the companies seek to find the optimal combination of both strategies, or as it called – leagile. Two different approaches for leagile concept’s implementation are used: preponement and de-coupling point. Driving forces for the strategy implementation are green forces, increasing the demand for improving customer service level, cost reduction, and the new retail marketing strategies. Main challenges for the strategy implementation are the lack of formal operating procedures, the lack of information sharing with the suppliers, ‘false alarm’ returns, the lack of local competence, and the lack of forecasting possibilities.

<p>The reverse part of the supply chain becomes more and more important due to the legislation, environmental concerns, higher volumes of returns, etc. As a result, companies cannot see the reverse supply chain as the additional costs only and have to think strategically. The right strategy for the reverse supply chain can help to achieve the competitive advantage. However, there are not so many researches made about strategies for the reverse supply chain yet, contrarily to the forward supply chain. Therefore, the need to adopt strategies for the reverse supply chain appears.</p><p>The purpose of this thesis is to analyze the applicability of the Lean and the Agile concepts in the Reverse Supply Chain strategy, and to investigate the driving forces and challenges for the implementation of the strategy in the Reverse Supply Chain.</p><p>The inductive research approach was applied in this thesis<em>.</em> The qualitative study was the most suitable for the better understanding of the point of view, the attitudes, the perceptions of the interviewed participants regarding a wide range of issues related to the choice, and the implementation of the strategy for the reverse supply chain. Multiple case studies as the research strategy was chosen, thus data was collected from 13 interviews conducted at four companies: Fläkt Woods, Systemair, Swegon and Rettig ICC.</p><p>The main conclusions from the analysis of the applicability of the lean and the agile concepts in the reverse supply chain are that the design of the reverse supply chain depends on the characteristics of the returns: the size, the volume, the life cycle, the B2B or the B2C returns; as well the reasons for the returns: the guarantee service/ after warranty service. When weighting the results about the lean and the agile concepts implementation in the reverse supply chain, it appears relatively more likely that none of the companies implement either only the lean or only the agile approach. Due to various reasons, there are different material flows and they require different strategic approaches. The agility is implemented close to the customer in order to ensure speed and high responsiveness. Lean flows are implemented from the manufacturer to the supplier or the third party (recycler, etc.). Even more, the companies seek to find the optimal combination of both strategies, or as it called – leagile. Two different approaches for leagile concept’s implementation are used: preponement and de-coupling point. Driving forces for the strategy implementation are green forces, increasing the demand for improving customer service level, cost reduction, and the new retail marketing strategies. Main challenges for the strategy implementation are the lack of formal operating procedures, the lack of information sharing with the suppliers, ‘false alarm’ returns, the lack of local competence, and the lack of forecasting possibilities.</p>

The need for fast, flexible, and sustainable deliveries has become a key priority for companies as customers demand more convenience in their purchasing experience. Retailers have responded by developing their logistics into an omnichannel to meet these expectations, which has made the supply chain more complex. The following study has been conducted at The Company, a telecommunication company aiming to be competitive in the market with fast deliveries through its omnichannel. In 2015, The Company set the logistics vision of “Availability as The Competitive Advantage”, aiming for 15-minute deliveries of all physical products in Sweden. This study involved investigating the logistical consequences of realising 15-minute deliveries in an omnichannel company. Therefore, the purpose of this study was formulated: “The purpose is to investigate the logistical consequences for The Company if the logistics vision of 15-minute deliveries is realised.” Since The Company cannot provide 15-minute deliveries today, local inventory points must be added to the underlying warehouse structure, acting simultaneously as storage points and parcel boxes. Firstly, the study involved creating scenarios for The Company where the customer can reach any local inventory point within 15 minutes by bicycle. Four scenarios were designed realising 15-minute deliveries in Sweden, Östergötland County, Jönköping County, and Stockholm respectively. For all four scenarios the number of local inventory points, central- and satellite warehouses, stores, replenishment- and distribution flows were decided by semi-structured interviews with The Company. Furthermore, investigating the logistical consequences involved two supply chain business processes connected to demand and supply: the demand management- and order fulfilment process. The included activities in the demand management process were Plan Forecast, Collect Data, Forecast, Synchronization and Communication of Forecast, Measure Performance. In the order fulfilment process, activities included were Defining Requirements, Evaluation of Logistics Network, Order Fulfilment Plan, Process Order, Pick and Pack Order, and Transport and Delivery. 12 respondents from The Company were interviewed to analyse the current activities and the required activities in the four scenarios. The logistical consequences to bridge the gaps were found and investigated. In the two processes investigated, 14 logistical consequences were found, seven in the demand management process and seven in the order fulfilment process. The study’s result indicates that rapid deliveries imply the same logistical consequences regardless of geographical area and the number of local inventory points for The Company. Covering Sweden implies bigger gaps and consequences than solely covering a big city. Many of the logistical consequences address similar gaps and logistical consequences resulting in the two processes interfacing. Consequently, the logistical consequences were divided into three main categories: system, strategic, and operational. Despite the difference between the four scenarios, many of the respondents have expressed the challenging future ahead by offering 15-minute deliveries. To fulfil the logistics vision The Company must focus on the logistical consequences identified in this study. It will require major significant changes in The Company’s logistics system adding stores. However, the focus of the study lied in understanding the requirements of the demand management and order fulfilment processes within the designed scenarios. Moreover, The Company is recommended to prioritize these consequences and then actively address them.

Thesis (PhD (Logistics))--University of Stellenbosch, 2006. / Conventional supply chain integration concepts focus primarily on the internal and external integration of individual supply chains (can be viewed as intra-supply chain integration). Due to the highly integrated nature of petrochemical value chains, related supply chains should also be integrated by taking account of enterprise/industry-wide synergies and interdependencies (can be viewed as inter-supply chain integration). Inter-supply chain integration can typically develop along three dimensions: - Upstream feed clusters (upstream in the chemical value chain) - Downstream product clusters (downstream in the chemical value chain) - Macro logistics network clusters (within and across related logistics networks for liquid bulk, dry bulk, packaged goods and gases) This dissertation presents a generic framework of applicable intra- and inter-supply chain planning processes that supports related long- (strategic), medium- (tactical) and short-term (operational) supply chain decisions for large-scale petrochemical companies. This type of companies has to manage relative complex supply chains. Highly complex supply chains (due to an extensive product portfolio, supplier base, customer base, manufacturing processes, transportation, and management processes and systems) require far more advanced planning processes than simple supply chains. Advanced supply chain planning processes cover an extended supply chain scope, deal with longer time horizons, and utilize more sophisticated analytical techniques and decision support systems. An extensive literature study, supplemented by empirical research in the South African petrochemical industry, provided the foundation for the advanced supply chain planning framework concluded in this dissertation. Semi-structured interviews and a questionnaire presented to an informed audience constitute the empirical research conducted. The related best practices, concepts, approaches followed, and level of advancement in three supply chain planning dimensions were derived. To guide petrochemical companies along the planning advancement journey, the roadmap developed can be utilized for the application and implementation of the advanced supply chain planning framework. This roadmap articulates the advancement stages, dimensions, characteristics, and triggers to advance. Typical characteristics associated with the advancement stages and dimensions provide the means for a company to assess their level of progression. The essential mechanisms that can enable interventions are also articulated.

<div>Graph-structured data is pervasive. Modeling large-scale network-structured datasets require graph processing and management systems such as graph databases. Further, the analysis of graph-structured data often necessitates bulk downloads/uploads from/to the cloud or edge nodes. Unfortunately, experience has shown that malicious actors can compromise the confidentiality of highly-sensitive data stored in the cloud or shared nodes, even in an encrypted form. For particular use cases —multi-modal knowledge graphs, electronic health records, finance— network-structured datasets can be highly sensitive and require auditability, authentication, integrity protection, and privacy-preserving computation in a controlled and trusted environment, i.e., the traditional cloud computation is not suitable for these use cases. Similarly, many modern applications utilize a "shared, replicated database" approach to provide accountability and traceability. Those applications often suffer from significant privacy issues because every node in the network can access a copy of relevant contract code and data to guarantee the integrity of transactions and reach consensus, even in the presence of malicious actors.</div><div><br></div><div>This dissertation proposes breaking from the traditional cloud computation model, and instead ship certified pre-approved trusted code closer to the data to protect graph-structured data confidentiality. Further, our technique runs in a controlled environment in a trusted data owner node and provides proof of correct code execution. This computation can be audited in the future and provides the building block to automate a variety of real use cases that require preserving data ownership. This project utilizes trusted execution environments (TEEs) but does not rely solely on TEE's architecture to provide privacy for data and code. We thoughtfully examine the drawbacks of using trusted execution environments in cloud environments. Similarly, we analyze the privacy challenges exposed by the use of blockchain technologies to provide accountability and traceability.</div><div><br></div><div>First, we propose AGAPECert, an Auditable, Generalized, Automated, Privacy-Enabling, Certification framework capable of performing auditable computation on private graph-structured data and reporting real-time aggregate certification status without disclosing underlying private graph-structured data. AGAPECert utilizes a novel mix of trusted execution environments, blockchain technologies, and a real-time graph-based API standard to provide automated, oblivious, and auditable certification. This dissertation includes the invention of two core concepts that provide accountability, data provenance, and automation for the certification process: Oblivious Smart Contracts and Private Automated Certifications. Second, we contribute an auditable and integrity-preserving graph processing model called AuditGraph.io. AuditGraph.io utilizes a unique block-based layout and a multi-modal knowledge graph, potentially improving access locality, encryption, and integrity of highly-sensitive graph-structured data. Third, we contribute a unique data store and compute engine that facilitates the analysis and presentation of graph-structured data, i.e., TruenoDB. TruenoDB offers better throughput than the state-of-the-art. Finally, this dissertation proposes integrity-preserving streaming frameworks at the edge of the network with a personalized graph-based object lookup.</div>