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The rise of the new industrial era has brought about the need for adopting new technologies, digitization, automation, and improving the industrial internet of things. With the introduction of Industry 4.0, there have been a lot of changes that transformed the way of understanding how technologies have evolved and helped to improve productivity in various sectors. Through this thesis, we try to discuss how Augmented Reality (AR), which is one the main pillar of Industry 4.0 plays a vital role in industrial innovation and development. It is important to simplify the execution of logistics operations and make them more reliable where human resources are involved to decrease the error rate and decision-making time. The report provides information about the technologies that are currently used in the logistic industries such as barcode and RFID. A brief description of AR components, barriers, and its applications are discussed in the theoretical background. It follows a case study to understand common problem areas in the production system and find out how AR can improve these conditions by comparing them with data gathered from literature and interviews conducted. The thesis was performed in collaboration with one of the main logistic firms particularly focusing on the topic “Investigating the Implementation of Augmented Reality in Logistics”. This report will help to find out the critical problems that are present in the current processes and how augmented reality can help the industries to improve their system.

Arbetet utfördes på Mirro AB som är ett mindre företag som tillverkar skjutdörrslösningar i sin tillverkning i Hillerstorp, Småland. Inom företaget finns två varumärken, Mirro och Pelly System. Företaget har en utmaning i att volymerna har ökat kraftigt vilket får konsekvenser i form av ökat antal felplock för respektive varumärke samt köbildning i Mirros ordersammanställning. Syftet har varit att föreslå kostnadseffektiva lösningar till dessa problem.   En avgränsning är att reklamationerna har utvärderats enbart för helår 2016. Studien har begränsats till plocklagret för varumärkena Mirro och Pelly System. Därmed har studien inte tagit hänsyn till eventuella förbättringsåtgärder i själva produktionen utöver de föreslagna layoutförändringar som föreslås för att skapa bättre förutsättningar för lagrets flöde. Studiens fokus har varit på plocklagret och ordersammanställningen i anslutning till plocklagret.   De två frågeställningarna som besvarats är:   a)      Hur kan felplocket minimeras från lager på ett mindre företag? b)      Hur kan köbildning undvikas i ordersammanställningen genom att optimera lagerplocket i förhållande till produktionsflödet i ett mindre företag med kundanpassade produkter?   Fallstudie gällande företaget Mirro AB har genomförts med insamling av data genom bland annat intervjuer och genomgång av statistiskt material för reklamationer och lagertransaktioner. Detta har sedan använts i olika former av systematisk bearbetning genom SWOT-analyser, brainstorming, Paretodiagram och fiskbensdiagram (Ishikawadiagram).   Viktiga resultat har varit att en ny mer effektiv layout har tagits fram för lagret som leder till effektivare plock och ordersammanställning. Det rekommenderas att införa streckkodsläsare med display och handdatorer som plockhjälp samt att fördela om resurser mellan de två varumärkena för att utjämna beläggningen.   Arbetets rekommendationer kommer att hjälpa företaget att komma till rätta med sina problem gällande de två frågeställningarna utan att behöva utöka sina resurser. Det blir även en bättre arbetssituation för de som arbetar på lagret med en mer lättarbetad layout.   Slutsatsen blir att om företaget genomför de rekommenderade förbättringsåtgärderna som föreslås har det goda möjligheter att komma till rätta med de två frågeställningarna. Det erhållna resultatet av fallstudien gav förväntat resultat men det krävde fler förändringar än väntat.   Nyckelord: orderplock, lager, felplock, artikel / The project was carried out at Mirro AB, a small company that manufactures sliding door solutions in its production in Hillerstorp, Småland. Within the company there are two brands, Mirro and Pelly System. The company has faced a challenge due to the fact that that there has been a big increase in volumes. This has led to consequences such as an increased number of picking errors for both brands as well as queues in Mirros area for compilation of orders. The purpose has been to suggest cost-effective solutions to these problems. One delimitation is that the complaints have been evaluated solely for the full calendar year of 2016. The study has only been limited to the picking stock for the brands Mirro and Pelly System. Therefore, the study has not taken into account any improvements needed in the production itself in addition to the proposed layout changes proposed to create better conditions for the flow of the stock. The study has been limited to the picking stock and the area for compilation of orders near by the picking stock.   The two questions that were answered are:   a)      How can picking errors from the stock at a small company be minimized? b)      In a small company with customer unique products, how can queuing in the area for compiling orders, be avoided by optimizing order picking in relation to the production flow? Case study regarding the company Mirro AB has been carried out with data collection through interviews and review of statistical material for complaints and storage transactions. This has since been used in various forms of systematic processing through SWOT analyses, brainstorming, Pareto diagrams and Ishikawa diagrams.   Important results have been that a new, more efficient layout has been suggested for the warehouse that leads to more efficient order picking and order compilation. It is recommended to introduce barcode scanners with display and handheld computers as picking help and to reallocate personnel resources between the two brands to get a more even division of labour.   The recommendations of the studies will help the company to correct its problems regarding the two issues without having to increase its resources. There will also be a better working situation due to the improved layout. The conclusion is that if the company implements the recommended improvement measures proposed, it will have a good possibility to correct the two issues. The result from the case study provided the expected results, it required more changes than I had expected.   Key words: Order picking, warehouse, error picking, article

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This research is devoted to the development of a mathematical model for an Interleaving Warehouse Layout. The space allocated to the items in the warehouse is most commonly determined on the basis of inventory cost of the items. Once the space requirements for the items are computed, the actual assignment of items to locations in the warehouse is carried out independently. An Interleaving Warehouse Layout is presented in this research to incorporate both reorder quantity and location of each item in a single comprehensive mathematical model of the warehouse. The advantage of this approach is that it considers the quantity and location problems encountered in a warehouse layout simultaneously. The mathematical model developed for the warehouse layout is optimized utilizing the computer code GRG2.5. The numerical results for two warehouses are summarized, discussed and compared with the data available in the literature. / M.S.

The goal of this study was to find factors affecting the pickers’ productivity negatively, in the order picking process, and to suggest a change that can increase the pickers’ productivity. By a qualitative approach the initial situation at PostNord was studied. The obtained results, after analyzing the initial situation, showed various factors that affect the pickers’ productivity negatively. All these contributed to waste, meaning that the picker did not use its time correctly according to Lean theory. These factors were analyzed and categorized into four problem areas, which are quality of tools, standardization of routines and leadership, article placement and jam in the corridors. Possible suggestions to improve the situation can be done with smaller or bigger changes. One solution is to improve the work procedures by standardizing the methods, which could be done by cooperating more with PEMA and using the pickers’ knowledge. Some suggestions and adjacent activities must be investigated further to find the best solutions.

<p>In today’s competitive global economy, the focus is on faster delivery of orders at lower total costs. In this paper we are interested in several aspects of order picking systems. We examine the influence of station layout, storage policy, picking policy and sorting solution on order picking system performance. On each of the analysis we consider a few solutions. We determine influence of different number of station in raw on picking system performance. We design the replenishment system supported by kanban philosophy with implemented economical order quantity (EOQ) and reorder point (ROP). The picking system is designed for assumed product’s demand values. The assessment of each of the solution is done through Arena simulation model. The results show that properly designed station with reasonable storage policy and implemented batching policy brings significant raise in order picking system productivity. In addition, we found that proper sortation system logic allows for more equal workload and reduction of maximum queue lengths. The results offer solutions to managers looking to implement improvements in order picking systems.</p>