In recent years, Hallsta Paper Mill has experienced significant changes in the demand for paper. The ordershave become smaller and more customer-specific, while the graphical paper industry has steadily declined.As a result of these changes, the employees at Hallsta Paper Mill feel that the finished goods warehouse isno longer optimally designed, and they have identified that waste occurs in the warehouse. Therefore, thepurpose of the study was to provide suggestions on how the activities in the warehouse could become moretime-efficient and investigate how the finished goods warehouse could be designed to suit today’s demandbetter. To facilitate the answering of the purpose, three research questions were formulated: What areas ofimprovement exist in the finished goods warehouse regarding its activities and layout? What effects can beobtained by addressing the identified areas of improvement? and What solutions are recommended for thefinished goods warehouse at Hallsta Paper Mill? The study’s first research question was answered by conducting interviews, a spaghetti diagram, and ananalysis of produced paper rolls. The interviews were conducted with employees who either workoperationally or administratively in the warehouse to get a comprehensive picture of how the work isperformed and where waste occurs within the activities. The spaghetti diagram identified the movementpattern for the trucks in the warehouse and provided indications if unnecessary long transports occurred ornot. The analysis of produced paper rolls examined how well the storage compartments in the finishedgoods warehouse were dimensioned based on today’s demand. Based on the collected data, nine areas ofimprovement were identified, seven areas linked to the activities in the warehouse and two areas linked tothe layout of the warehouse. After the areas of improvement were identified, the study’s second research question was answered bydeveloping solutions within each area of improvement. To develop the solutions linked to the activities inthe warehouse, root cause analyses were performed, where each area was examined to find the root causeof the problem. For the solutions linked to the design, inspiration was instead taken from the warehouselayout and article placement literature. A total of 23 solutions were developed, 19 linked to the activitiesand four linked to the layout. For each solution, it was then analysed what effects an implementation of thesolution would provide, focusing on possible time savings. The effects were analysed with help from theliterature and the authors’ knowledge of logistics. After the effects had been analysed, each solution was assessed based on the effects identified in theprevious research question. The solutions were placed in effort-impact diagrams based on how much effortis required to implement the solution and how much impact is expected from the solution. When assessingthe impact, extra consideration was given to possible time savings, as it was the highest priority accordingto the directives from Hallsta Paper Mill. The assessment then resulted in a recommendation on how thesolutions should be approached. The less effort required and the more impact a solution would bring, thehigher priority was given to the solution. To summarise, two solutions were recommended to beimplemented immediately, nine solutions should be implemented in a second step, seven solutions shouldbe considered and investigated further, and two solutions should be rejected. The solutions aimed to makethe warehouse activities more time-efficient and suggest how the warehouse could be designed to suittoday’s demand better.

Syfte – Studien syftar på att identifiera en användbar metod för att beräkna fyllnadsgrad i distributionslager samt undersöka hur visualisering av lagerfyllnadsgraden påverkar lagerplaneringens operativa arbete. För att uppnå studiens syfte har fyra frågeställningar formulerats: Vilka parametrar behövs för att beräkna fyllnadsgraden för klämgods i ett distributionslager? Vilken praktiskt användbar metod kan användas för att beräkna fyllnadsgraden för klämgods i ett distributionslager? Hur kan de framtagna parametrarna sammanställas för att kunna visualisera aktuell fyllnadsgrad? Hur kan en visualisering av lagerfyllnadsgrad påverka planeringsavdelningen i det operativa arbetet? Metod – Förstudien visar att en metod för att beräkna lagerfyllnadsgrad vid djupstapling saknas. Studien har med sin abduktiva ansats undersökt hur verksamheter arbetar med lagerfyllnadsgrad. Därefter har litteraturstudien analyserats och med stöd från insamlad empiri har författarna skapat en illustration av metoden. Resultat – Studien resulterade i en metod som beräknar lagerfyllnadsgrad och kan användas som ett analysunderlag vid optimering av lagerutrymmet. Metoden beräknar en plats- och en produktspecifik lagerfyllnadsgrad. Studien presenterar ett konkret exempel på hur metoden kan visualiseras och hur den är den är tänkt att användas. Implikationer – Metoden ämnar sig åt att inspirera till en ökad kontroll på hur mycket gods som finns på lagret. Den är specifikt inriktad på staplingsbart gods inom djuplagring för att hjälpa till vid en visualisering och beräkning av lagerfyllnadsgrad. Vid en implementering av metoden är det viktigt att förstå hur lagret fungerar och godsets parametrar för beräkning. Begränsningar – Metoden som tagits fram bygger på klämgods vid standardkvantiteter. Studien är en enfallsstudie vilket innebär att metoden troligen inte kan appliceras direkt på andra företag utan att granskas och justeras efter deras förutsättningar. / Purpose – The purpose of the study is to identify a usable method to calculate stock fulfilment rate in a distribution warehouse and investigate how a visualization of the stock fulfilment rate affects the operative planning organisation. To fulfil the purpose of this study four research questions were formulated: 1. Which factors is needed to calculate the stock fulfilment rate for block stacking inventory in a distribution warehouse? What method could be used to calculate the stock fulfilment rate for block stacking inventory in a distribution warehouse? How could you summarize these factors to visualize the stock fulfillment rate? How can a visualization of the stock fulfillment rate affect the operative planning organisation? Method – The pre-study shows that the theory lacks a method for calculating the stock fulfilment rate with block stacking. The study has with its abductive approach investigated how businesses works with stock fulfilment rate. From this, the literature study has been analysed with support from the result and the authors has created an illustration of the method. Findings – The study resulted in a method which calculates stock fulfilment rate and can be used as an analytical information when optimizing the storage area. The method calculates a location- and product specific stock fulfilment rate. The study then presents an example on how the method could be visualized and used. Implications – The method aims at inspiring to an increased control of the warehouse storage capabilities. It is focused on block stacking and to help at a visualization and calculation of stock fulfilment rate. At an implementation stage is it important to understand that the storage and block stacking factors when doing the calculations. Limitations – The purposed method builds on block stacking and handling units. The study carried out is a case study which means that the result is not applicable directly without further examination of other businesses and their preconditions.

Historically, the paper market has consisted of few customers with high demands. However, the market has changed and nowadays it consists of many customer with lower demands, which causes problems in the warehouse process of Braviken Papermill. The main problem is that the utilization rates in the storage bays are low due to the relatively large bays compared to the order quantities. The purpose of this project is to develop a new set of bays that fits the current market and increases the utilization rates. The goal of the new set is to decrease the amount of manual operations and instead use the full potential of the allocation system.    The new set of bays consist of four bay types, dimensioned for 2, 4, 8 and 16 reel stacks respectively. Several experiments are done, and the new set of bays performs better than the current one, in terms of the utilization rates for storage events in the bays. The average utilization rate is significantly higher for the new set compared to the current. A decrease in effective storage space can be compensated by an increased degree of utilization. Also, it is beneficial with more and smaller bays in a market situation like the one of Holmen Paper.