Demand forecasting process design and methods in medium sized enterprise

The purpose of this thesis was to study the design of demand forecasting processes and management of demand. In literature review were different processes found and forecasting methods and techniques interviewed. Also role of bullwhip effect in supply chain was identified and how to manage it with information sharing operations. In the empirical part of study is at first described current situation and challenges in case company. After that will new way to handle demand introduced with target budget creation and how information sharing with 5 products and a few customers would bring benefits to company. Also the new S&OP process created within this study and organization for it.

e-Business and collaboration: A case study of pulp supply chain

This thesis studies how the case company could digitalize its supply chain and what kind of advantages this would create in the light of supply chain efficiency. The case company manufactures several pulp products that are used for paper, fabrics and packaging products by customers worldwide. The paper and pulp industry has been paying more and more attention to increasing supply chain efficiency with new operating and service models made possible by today’s information technology. The main focus of this study is on the supply chain between the case company and its key customers and the goal is to find ways to make the operations between them as efficient as possible. The study relays heavily on collaboration techniques and digitalization technologies. In addition to a theoretical framework, the study includes several empirical studies that offer real-life examples of how these theories and technologies are applied in operating environments similar to the case company. A plan with strategic and operational levels is created according to the findings of the previous sections to support the case company’s future operations. The plan is based on an RFID-supported collaboration model that aims to advance information sharing between the supply chain partners. The time for an RFID-investment is sought to be very optimal and the benefits of such system to be noteworthy, but challenging to measure in monetary terms.

BotCloud Detection System

Leveraging cloud services, companies and organizations can significantly improve their efficiency, as well as building novel business opportunities. Cloud computing offers various advantages to companies while having some risks for them too. Advantages offered by service providers are mostly about efficiency and reliability while risks of cloud computing are mostly about security problems. Problems with security of the cloud still demand significant attention in order to tackle the potential problems. Security problems in the cloud as security problems in any area of computing, can not be fully tackled. However creating novel and new solutions can be used by service providers to mitigate the potential threats to a large extent. Looking at the security problem from a very high perspective, there are two focus directions. Security problems that threaten service user’s security and privacy are at one side. On the other hand, security problems that threaten service provider’s security and privacy are on the other side. Both kinds of threats should mostly be detected and mitigated by service providers. Looking a bit closer to the problem, mitigating security problems that target providers can protect both service provider and the user. However, the focus of research community mostly is to provide solutions to protect cloud users. A significant research effort has been put in protecting cloud tenants against external attacks. However, attacks that are originated from elastic, on-demand and legitimate cloud resources should still be considered seriously. The cloud-based botnet or botcloud is one of the prevalent cases of cloud resource misuses. Unfortunately, some of the cloud’s essential characteristics enable criminals to form reliable and low cost botclouds in a short time. In this paper, we present a system that helps to detect distributed infected Virtual Machines (VMs) acting as elements of botclouds. Based on a set of botnet related system level symptoms, our system groups VMs. Grouping VMs helps to separate infected VMs from others and narrows down the target group under inspection. Our system takes advantages of Virtual Machine Introspection (VMI) and data mining techniques.

Palveluvaraston käyttöönotto kokoonpanoteollisuudessa

Tutkimuksen tavoitteena oli selvittää palveluvarastoinnin vaikutukset hankinnan kokonaiskustannuksiin ja luoda palveluvaraston toimintakonsepti. Toimintakonsepti pitää sisällään informaatio- ja materiaalivirtojen hallinta- ja ohjausprosessit toimittajan, palveluvaraston ja diplomityön kohdeyrityksen välillä. Tutkimuksen alussa tehtiin kustannusvertailu kahden vaihtoehtoisen toimittajan välillä. Toinen vaihtoehdoista edellyttää välivarastointia palveluvarastossa. Kustannusvertailun pohjalta kohdeyrityksessä päätettiin vaihtaa toimittajaa ja ottaa käyttöön palveluvarasto. Palveluvaraston toimintakonseptin luomista varten yrityksessä perustettiin projektiryhmä. Tutkimuksen kirjoittaja toimi projektiryhmän vetäjänä. Tutkimuksessa luotiin palveluvaraston toimintakonsepti, joka perustuu vendor- managed inventory-toimintamalliin. VMI-toimintaa varten kehitettiin ohjausraportti, jonka avulla kohdeyritys voi valvoa varastotasoja palveluvarastossa, ja jonka avulla toimittajat ohjaavat varastotäydennyksiä palveluvarastolle. Palveluvaraston ja kohdeyrityksen välille luotiin lisäksi RFID-teknologiaa hyödyntävä tilausprosessi. Kohdeyrityksessä voidaan tulevaisuudessa hyödyntää palveluvarastoa kansainvälisen hankinnan logistiikan hallintaan.