Call number: LD2668 .T4 1979 C64 / Master of Science

Mossberg (1998) bekräftar att batch-baserad logstik inom bokbranschen har flertalet negativa konsekvenser. Mossberg (1998) skriver följande; ”ETT PÅGÅENDE RESURSSLÖSERI De osålda böckerna drar på sig transport- och lagerkostnader… …överskottet -- inte sällan mer än halva upplagan! -- makuleras inom en treårsperiod. Bortsett från det stötande i detta resursslöseri bidrar förfarandet till att den svenska bokmarknaden har fått den ’’färskvaruprägel’’ som tidigare berörts -- och som innebär en tidsmässig begränsning av den svenskspråkiga litteraturen.” (Mossberg, 1998)  Mossbergs (1998) iakttagelser stödjer även de observationer vi gjort på fallföretaget. Detta är också grunden till vårt projekt där vi bidrar till ett mera effektivt och hållbart arbetssätt hos en av Sveriges största ekonomiboksproducenter. Syftet med denna studie är att undersöka vilka fördelar som enligt teorin kan uppnås vid en övergång från en batch-baserad till en print-on-demand baserad logistikhantering av böcker.    Målet är att presentera rekommendationer för beslutsfattande och framtida strategi för fallföretaget, men också för att hjälpa andra företag med liknande krav och behov. Denna fallstudie genomförs på ett svenskt företag där man i huvudsak arbetar med kundservice/support till företag som använder sig av deras bokföringsprogram och servicetjänster. En viktig del i deras tjänst innebär publicering samt e-försäljning av informationsböcker. Vi har dock kunnat se att ytterst lite görs för att förbättra sin kvalitet inom detta område.  Vår undersökning visar att fallföretaget sammantaget skulle vinna flera fördelar genom att använda sig utav en print-on-demand-lösning. Detta eftersom man skulle förbättra sin kvalitet i alla de avseenden vi fokuserat på, med en lägre totalkostnad, ingen kapitalbindning och en minskad påverkan på miljön. / Mossberg (1998) confirms that batch-based logistics in the book industry has several negative consequences. Mossberg (1998) writes the following;  "AN ONGOING WASTE OF RESOURCES The unsold books are incurring transportation and inventory costs ... ... surplus - often more than half the recipients edition! -- canceled within three years. Aside from the offensive in this waste of resources, this procedure contributes to the fact that the Swedish book market has got the '' fresh character '' as mentioned earlier -- and as entails a temporal limitation of the Swedish-language literature" (Mossberg, 1998)  Mossberg's (1998) findings also support the observations we have made in this study. This constitutes the foundation of this survey, where we contributes for a more effective and sustainable operation at one of Sweden's largest economy book producers.  The purpose of this study is to examine the advantages and disadvantages that come with make-to-stock and a batch based logistics management of books. But also to identify the advantages that, according to the theory, can be achieved in a transition to make-to-order with a print-on-demand solution.   The goal is to present recommendations for decision-making and future strategy for the company where this study took place, as well as to help other companies with similar needs and requirements.  This case study is conducted at a Swedish company which essentially work with customer service / support to businesses using their accounting software and services. An important part of their service means publishing as well as e-books sale of information books. We have noticed that little is done to improve their efficiency and quality in this area.  Our study shows that this company would gain several benefits by making use out of a print-on-demand solution. This because it would improve their quality in all respects we’ve focused on, with a lower total cost, no tied up capital and en reduced environmental impact.

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This report investigates the effects a demand based tariff would have on private electricity consumers and how it could contribute to a sustainable electrical grid. The fuse tariff that is currently used charges customers for their electricity usage and does not fully reflect the electrical grid load and thereby not the cost for the distribution system operators. A demand based tariff, that charges customers for their power peaks and promotes a change of behaviour better reflects the grid load and could lead to a more even grid distribution and a sustainable development. In light of this issue, two demand based tariffs have been constructed for the energy company Upplands Energi’s private customers’ current electricity consumption. One of the tariffs consists of a higher fixed cost and a lower variable cost and the other consists of a lower fixed cost and a higher variable cost, both leading to the same revenue för Upplands Energi. The two different demand based tariffs have been simulated and analysed, where the one with the lowest fixed cost is recommended since it gives customers higher economic incentives to change their electricity usage behaviour. It is essential that electricity retailers communicate the information of how the demand based tariff works to the customers in order to make them change their electricity behaviour to attain a sustainable grid.

The shift towards more renewable energy sources is imminent, this shift is accelerated by the technological advancement and the rise of environmental awareness. However, this shift causes major operational problems to the current grid that is optimised for unidirectional power flow. Besides the operational problems, there are problems related to the optimal tariff scheme. In this thesis a study on the effect of the adoption of photovoltaic solar panels and the electric vehicles on the households' electricity demand profile is presented. The change on the demand profile is going to affect the current tariffs, this effect is also explored in this thesis. In this thesis real life data on household electricity use and photovoltaic power production was used. For electric vehicle charging simulated data was used. Besides that, a demand response scheme for electric vehicle is proposed in order to estimate the savings potential of this demand response on the electricity bill. The results show that the change in the demand profile is not merely a change in the total energy consumption, but it is a change in the power peaks as well. The peaks change significantly in condominiums and rental apartments, in this households' type it increases by around 80%, while in detached and row houses little change is noticed on the peaks, yet they still increase by around 10%. The demand response shows around 1- 12% savings in the distribution bill depending on the household, however it showed more incentives for condominiums and rental apartments. The current distribution tariffs perform asymmetrically with the various households. However, one tariff ensures 11.7 MSEK financial revenue for the distribution system operator, this is higher than the other tariffs' revenue by more than 28.5%. The new prospective situation requires totally different tariffs that ensure a balance between firstly a reasonable revenue for the distribution system operator and secondly incentives for consumers to self produce electricity as well as to reduce their peaks.

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Inventory management is an important part of a good functioning logistic. Nearly all the literature on optimal inventory management uses criteria of cost minimization and profit maximization. To have a well functioning forecasting system it is important to have a balance in the inventory. But, it exist different factors that can results in uncertainties and difficulties to maintain this balance. One important factor is the customers’ demand. Over half of the stocked items are in stock to prevent irregular orders and an uncertainty demand. The customers’ demand can be categorized into four categories: Smooth, Erratic, Intermittent and Lumpy. Items with a lumpy demand i.e. the items that are both intermittent and erratic are the hardest to manage and to forecast. The reason for this is that the quantity and demand for these items varies a lot. These items may also have periods of zero demand. Because of this, it is a challenge for companies to forecast these items. It is hard to manage the random values that appear at random intervals and leaving many periods with zero demand. Due to the lumpy demand, an ongoing problem for most organization is the inaccuracy of forecasts. It is almost impossible to predict exact forecasts. It does not matter how good the forecasts are or how complex the forecast techniques are, the instability of the markets confirm that the forecasts always will be wrong and that errors therefore always will exist. Therefore, we need to accept this but still work with this issue to keep the errors as minimal and small as possible. The purpose with measuring forecast errors is to identify single random errors and systematic errors that show if the forecast systematically is too high or too low. To calculate the forecast errors and measure the forecast accuracy also helps to dimensioning how large the safety stock should be and control that the forecast errors are within acceptable error margins. The research questions answered in this master thesis are: How should one calculate forecast accuracy for stocked items with a lumpy demand? How do companies measure forecast accuracy for stocked items with a lumpy demand, which are the differences between the methods? What kind of information do one need to apply these methods? To collect data and answer the research questions, a literature study have been made to compare how different researchers and authors write about this specific topic. Two different types of case studies have also been made. Firstly, a benchmarking process was made to compare how different companies work with this issue. And secondly, a case study in form of a hypothesis test was been made to test the hypothesis based on the analysis from the literature review and the benchmarking process. The analysis of the hypothesis test finally generated a conclusion that shows that a combination of the measurements WAPE, Weighted Absolute Forecast Error, and CFE, Cumulative Forecast Error, is a solution to calculate forecast accuracy for items with a lumpy demand. The keywords that have been used to search for scientific papers are: lumpy demand, forecast accuracy, forecasting, forecast error.

This dissertation studies how to characterize strategic behaviors in electricity markets from a transmission-constrained residual demand perspective. This dissertation generalizes the residual demand concept, widely used by economists in general markets, to electricity markets, which are constrained by transmission networks. The transmission-constrained residual demand is characterized by a sensitivity analysis of the optimal power flow program, which is the electricity market clearing engine. Methods are proposed to optimize a generator or generation firm's profit utilizing the residual demand sensitivity information, which has several advantages over existing methods. The transmission-constrained residual demand concept and the methods are helpful for market participants to develop bidding strategies and for market monitors to analyze market power in electricity markets. / text

The purpose of this study is to identify realistic opportunities and barriers regarding PEV charge management by analyzing real-world PEV data from customers in the Austin Energy service area and evaluating direct, quantifiable economic value benefits as it relates new revenue, cost avoidance, CO2 reductions, and MW potential for peak shaving. The main objective is to provide business analysis to support the strategic road-map for Austin Energy PEV home charging programs. Three main charge program implementations are considered: Uncontrolled Charging, Time of Use Rates, and One Way Utility Control. The data used for the analysis includes 45 households with PEVs from Mueller area; 24 were under a Time of Use trial with pricing incentives to charge at night, and 21 receive normal Austin Energy rates. Data analysis shows that 66% of Time of Use trial group successfully shifted PEV load to Off Peak hours (10:00PM to 6:00AM). The potential of One Way control, based on load availability for interruption, shows that it will not be possible to implement until there are 37,000 PEVs in the Austin Energy area. Uncontrolled Charging represents a risk by increasing load during the residential peak. Time of Use Rates program will incentivize load shifting, reduce wholesale energy costs for Austin Energy while allowing customers to reduce their overall electricity bill. / text

<p>Forecasting, cost management and pricing policies are topics which have beenwidely investigated over time. Due to a lack of scientific research about therelationships between each of those subjects, these methods have beeninvestigated in combination with their outcomes. The purpose of this work was todevelop a framework which can be used by managers who want to make adecision in either of the subjects mentioned before. By the use of a qualitative, interpretive research design, a literature review was performed which led to some interesting findings. Generally, it can be said that the methods are not related directly, although the outcomes are linked and can often be used as a criterion for the decision making process for the other methods.</p>