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Esta tese integra dois problemas de áreas distintas e interdependentes intitulados de Sequenciamento Otimizado de Faturamento (SOF) e Sequenciamento Otimizado de Coleta (SOC). Abordados de forma disjunta pelos pesquisadores, o SOF refere-se a um problema de maximização do faturamento e o SOC consiste de uma variação do Order Batching and Sequencing Problem (OBSP). Fundamentados por pressupostos práticos e científicos, o SOF/SOC retratam o cotidiano dos processos de faturamento e picking de um típico Armazém de Distribuição (AM). No SOF a demanda é estocástica e os faturamentos ocorrem a partir de janelas de tempo variáveis ajustadas para evitar o tardiness mediante a priorização das datas de atendimento pela regra Earliest Due Date (EDD). No SOC o picking é manual e enquadra-se na categoria picker-to-parts (low level) com pick-and-sort utilizando um trolley que é transportado pelo operador ao longo das ruas do AM. Neste contexto, esta tese tem como objetivo desenvolver uma ferramenta de gestão que integre e apresente soluções otimizadas para o SOF/SOC. A perspectiva de integração do SOF/SOC dar-se-á mediante à formulação de dois Algoritmos Genéticos (AGs) nomeados de AG-SOF e AG-SOC. Assim, o enfoque desta pesquisa está na avaliação da eficácia prática do AG-SOF/AG-SOC em resolver problemas reais do SOF/SOC. A eficácia do AG-SOF é comparada à um Algoritmo Guloso Iterativo (AI-SOF) enquanto que a predileção pelo AG-SOC é justificada pela natureza NP-hard do SOC. As experimentações para problemas de diferentes níveis de complexidade demonstraram que os algoritmos satisfazem todas as regras, restrições e variáveis decisórias obtendo soluções de qualidade satisfatória para qualquer categoria do SOF/SOC. O AISOF/ AG-SOF lidam com as restrições de estoque e as possibilidades de faturar pedidos parciais para maximizar o Faturamento Total (FT). Apesar de obterem soluções com a mesma qualidade, o AI-SOF tem desempenho superior ao AG-SOF que é, em termos de Tempo de Processamento Computacional (TPC), limitado às categorias de médio porte do SOF. O AG-SOC é composto pela iteração de dois AGs (AGLOTE e AGPCV) que minimizam o Custo Total das Operações de Picking (CT). Logo, o AGLOTE agrupa os SKUs (Stock Keeping Units) dos diferentes pedidos em múltiplos lotes pela restrição de carga dos trolleys de forma a reduzir o Número de Viagens de Coleta (NVC) e define a sequência de coleta por meio de lotes prioritários para evitar o Atraso no Atendimento dos Pedidos (AAP). O AGPCV faz a roteirização dos lotes dentro do AM de modo que impeça a ocorrência de avarias aos SKUs frágeis e minimize a Distância Total das Rotas (DTR) e o Tempo Total de Picking (TTP). Evidenciou-se que para problemas de complexidade superior os lotes são mais homogêneos, nos quais o Desvio Padrão é pequeno e o Coeficiente de Variação é de 11,22% a 25,20% para a DTR. Para ambientes reais em que se utiliza janelas de tempo e logs de processamentos para lotes off-lines) a combinação do AI-SOF/AGSOC provê soluções otimizadas em tempo e qualidade satisfatória ao SOF/SOC. Em suma, esta pesquisa foi além das abordagens existentes para preencher um gap na literatura e prover uma importante contribuição à prática da otimização do SOF/SOC. É possível conclui que a integração do AI-SOF/AGSOC é capaz de maximizar o faturamento e melhorar a produtividade de forma a minimizar os tempos e custos operacionais de picking do AM. / This thesis integrates two problems from distinct and independent areas called Optimal Sequencing Billing (OSB) and Optimal Picking Sequencing (OPS). Studied separately by researchers, OBS refers to a billing maximization problem and OPS is a variation of the Order Batching and Sequencing Problem (OBSP). Based on practical and scientific assumptions, OSB/OPS portray the picking daily routine in a typical Distribution Warehouse (WA). In OSB, the demand is stochastic and billings occur based on variables time windows that are adjusted to avoid tardiness by prioritizing the service dates based on the Earliest Due Date (EDD) rule. In OPS, picking is manual and falls into the low-level picker-to-parts category, and it uses a trolley that is pushed by an employee along WA aisles. In this context, this thesis has the objective of developing a management tool that can integrate and provide optimal solutions for OSB/OPS. The perspective of integrating OSB/OPS can be achieved through the formulation of two Genetic Algorithms (GAs) called GA-OSB and GA-OPS. Therefore, the focus of this research is to assess GA-OSB/GA-OPS practical efficiency to solve actual OSB/OPS problems. GA-OSB efficiency is compared to an Iterative Greedy Algorithm (IA-OSB) whereas the preference for GA-OPS is justified by the NP-hard nature of OPS. Experiments for problems of different complexity levels showed that algorithms satisfy every rule, restriction and decision variable and provide satisfactory solutions for any OSB/OPS category. IA-OSB/GA-OSB deal with inventory restrictions and the possibility of billing partial orders to maximize Total Billing (TB). Although they also provide quality solutions, IA-OSB performance is better than GA-OSB performance which is limited to OSB medium-sized categories in terms of Computational Processing Time (CPT). GA-OPS comprises the iteration of two GAs (GABATCH and GATSP) that minimize the Total Cost of Picking Operations (TC). Therefore, GABATCH groups SKUs (Stock Keeping Units) of different orders into multiple lots according to trolley load restrictions so as to reduce the Number of Picking Travels (NPT). It also defines a picking sequence by means of priority lots to avoid Tardiness in Customer Orders (TCO). GATSP maps out the routes of lots inside the WA in order to prevent damages to fragile SKUs and to minimize Total Route Distance (TRD) as well as Total Picking Time (TPT). It was evidenced that, for problems of higher complexity, lots are more homogeneous where the Standard Deviation is small and the Coefficient of Variation (CV) ranges from 11.22% to 25.20% to the TRD. For actual environments where time windows and processing logs are used for off-line lots, the IA-OSB/GA-OPS integration provides optimal time solutions and satisfactory quality to OSB/OPS. In short, this research has gone beyond existing approaches to fill a gap in the literature and provide an important contribution to the practice of optimal OSB/OPS. It can be concluded that the integration of IA-OSB/GA-OPS can maximize billing and improve productivity in order to minimize picking operational time and costs in a WA.

Made available in DSpace on 2016-08-10T10:40:26Z (GMT). No. of bitstreams: 1 SILVIO DA SILVA NOBRE.pdf: 2654031 bytes, checksum: 931855cb07ec68ce9752f099cbb3b45f (MD5) Previous issue date: 2015-04-14 / The Distribution Centers (DC) has embarked on a major role in the supply chain, to the extent that manage much of logistics that is implemented and controls the storage from its origin to its final point. Among the processes of a CD, is the shipment of product for subsequent separation. Distribution Centers implement the fractional separation (rack flow) have constantly problems conference output products, waste and increasing the quality of decreasing process. This work aims to analyze the quality of separation and inspection of rack flow of products on a CD in order to ensure the quality of delivery to the final consumer. One high error rate in the separation process and also inspection of products and proposed an alternative in the inspection process was detected for identify errors and correct them. The results showed that the proposed process and analyzed, based on a precision scale, decreased the return of errors and identified the inspection errors in order to practically zeroing them. In addition, based on the results, analyzed and proposed a modification of the separation process. / Os Centros de Distribuição (CD) vem empenhando um papel importante na cadeia de suprimentos, na medida que gerenciam grande parte de logística que é implementada e controla o armazenamento desde sua origem até ao seu ponto final. Dentre os processos de um CD, encontra-se o de separação de produtos para posterior expedição. Centros de Distribuição que implementam a separação fracionada (flow rack) apresentam, constantemente, problemas de conferência de produtos de saída, aumentando o desperdício e dminuindo a qualidade do processo. Este trabalho tem como objetivo analisar a qualidade da separação e inspeção dos produtos do flow rack em um CD, a fim de garantir a qualidade da entrega para o consumidor final. Foi detectado um alta taxa de erros no processo de separação e também de inspeção dos produtos e proposta uma alternativa no processo de inspeção para indentificar os erros e corrigi-los. Os resultados obtidos demonstraram que o processo proposto e analisado, baseado em uma balança de precisão, diminuiram os erros de devolução e identificaram os erros de inspeção de forma a praticamente a zerá-los. Além disto, baseados nos resultados, analisada e proposta uma modificação do processo de separação.

Autonomous forklift handling systems is one of the most interesting research in the last decades. While research fields such as path planning and map building are taking the most significant work for other type of autonomous vehicles, detecting objects that need to move and picking it up becomes one of the most important research fields in autonomous forklifts field. We in this research had provided an algorithm for detecting paper reels accurate position in paper reels warehouses giving a map of the warehouse itself. Another algorithm is provided for giving the priority of papers that want to be picked up. Finally two algorithms for choosing the most appropriate direction for picking the target reel and for choosing the safest path to reach the target reel without damage it are provided. While working on the last two algorithms shows very nice results, building map for unknown stake of papers by accumulating maps over time still tricky. In the following pages we will go in detail by the steps that we followed to provide these algorithms started from giving an over view to the problem background and moving through the method that we used or we developed and ending by result and the conclusion that we got from this work.

This research investigates analytical models that might serve to support decisions in the early stages of designing high volume small parts order picking systems. Because the development of analytical closed-forms is challenging, a common approach is to use simulation models for detailed design performance assessment. However, simulation is not suitable for early stage design purposes; because simulation models are time-consuming (thus expensive) to construct and execute, especially when the number of alternatives to evaluate is large. If available, analytical models are computationally cheaper. They provide faster and more flexible solutions and though usually less detailed, may be adequate to support early stages of design. The challenge is to develop generic analytic models providing useful results for a class of problems. This research focuses on a class of problems in high volume small parts order picking systems with pick-to-buffer technology. This is a new technology, and not yet in widespread use. The novelty in the modeling approach is the distinct separation of item-picking and order assembly operations which permits the development of performance models for both throughput and service level. Essentially the system is modeled as a tandem queue, and the two detailed models for the picking and assembly subsystems are developed based on detailed description of the operations. Solving the model provides estimates for performance measures, such as order cycle time and system throughput, which are essential in design. The approximation method requires estimating the squared coefficient of interdeparture times from the classical GX/G/1 queuing model, and a suitable approximation is derived in this thesis. Computational tests show the model to provide reasonably accurate estimates of system performance, with minimal computational overhead. To support the proposed queuing model, new models are developed for estimating mean and squared coefficient of variation for pick and assembly operation times. These models include the variability of order contents and the picking process, along with the physical layout. Results of the estimation compare very well with that of simulation.

Title from PDF title page (viewed on January 23, 2008) Includes bibliography (p. 166-184).

Made available in DSpace on 2016-06-02T19:51:58Z (GMT). No. of bitstreams: 1 4836.pdf: 6190817 bytes, checksum: 6b8914035d2378a997d71d539e811284 (MD5) Previous issue date: 2012-12-19 / The picking activity, one of the warehousing activities, produces representative costs in the warehousing. These costs could reach up to 75% of the total warehousing costs (COYLE2 et al., 1996 apud PETERSEN; AASE, 2004). Considering the scientific publications studied (Periódicos da Capes portal), it was not returned articles that had a managerial picking model approach, as proposed in this dissertation. The model was developed based on the bibliographic research method, in order to keep the scientific approach of the study. The model was presented in process and activities and it was considered the Logistics and SCM (Supply Chain Management) premises of time, quality and cost. It was also presented a matrix in order to point out the main decisions to be taken in the model, considering four scenarios of SKU s quantity and variety (high quantity and low variety, high quantity and high variety, low quantity and high variety and low quantity and low variety). The main result of this research was the proposal of a method with a managerial approach never studied before. / A atividade de picking, presente nos depósitos, possui custos representativos na atividade de armazenagem, podendo chegar até a 75% do custo total de operação de um depósito (COYLE1 et al., 1996 apud PETERSEN; AASE, 2004). Nas publicações científicas estudadas, considerando a consulta realizada na base de Periódicos da CAPES, não foram encontrados artigos que apresentassem uma abordagem com o foco em gestão para o picking, conforme se propôs este trabalho. O modelo de referência criado teve como base o método de pesquisa bibliográfica, de forma a não perder o caráter científico do trabalho, sendo apresentado em forma de processos e considerando as premissas da Logística e da SCM (Supply Chain Management) de prazo, qualidade e custo. Ao final do trabalho foi apresentado um quadro com direcionamentos para a aplicação do modelo, considerando o posicionamento do depósito frente a quatro cenários de volume (quantidade) e variedade de SKU s (alto volume e baixa variedade, alto volume e alta variedade, baixo volume e alta variedade e baixo volume e baixa variedade). O principal resultado do estudo foi a apresentação de um modelo com uma abordagem ainda não estudada e com foco gerencial.

Esta tese integra dois problemas de áreas distintas e interdependentes intitulados de Sequenciamento Otimizado de Faturamento (SOF) e Sequenciamento Otimizado de Coleta (SOC). Abordados de forma disjunta pelos pesquisadores, o SOF refere-se a um problema de maximização do faturamento e o SOC consiste de uma variação do Order Batching and Sequencing Problem (OBSP). Fundamentados por pressupostos práticos e científicos, o SOF/SOC retratam o cotidiano dos processos de faturamento e picking de um típico Armazém de Distribuição (AM). No SOF a demanda é estocástica e os faturamentos ocorrem a partir de janelas de tempo variáveis ajustadas para evitar o tardiness mediante a priorização das datas de atendimento pela regra Earliest Due Date (EDD). No SOC o picking é manual e enquadra-se na categoria picker-to-parts (low level) com pick-and-sort utilizando um trolley que é transportado pelo operador ao longo das ruas do AM. Neste contexto, esta tese tem como objetivo desenvolver uma ferramenta de gestão que integre e apresente soluções otimizadas para o SOF/SOC. A perspectiva de integração do SOF/SOC dar-se-á mediante à formulação de dois Algoritmos Genéticos (AGs) nomeados de AG-SOF e AG-SOC. Assim, o enfoque desta pesquisa está na avaliação da eficácia prática do AG-SOF/AG-SOC em resolver problemas reais do SOF/SOC. A eficácia do AG-SOF é comparada à um Algoritmo Guloso Iterativo (AI-SOF) enquanto que a predileção pelo AG-SOC é justificada pela natureza NP-hard do SOC. As experimentações para problemas de diferentes níveis de complexidade demonstraram que os algoritmos satisfazem todas as regras, restrições e variáveis decisórias obtendo soluções de qualidade satisfatória para qualquer categoria do SOF/SOC. O AISOF/ AG-SOF lidam com as restrições de estoque e as possibilidades de faturar pedidos parciais para maximizar o Faturamento Total (FT). Apesar de obterem soluções com a mesma qualidade, o AI-SOF tem desempenho superior ao AG-SOF que é, em termos de Tempo de Processamento Computacional (TPC), limitado às categorias de médio porte do SOF. O AG-SOC é composto pela iteração de dois AGs (AGLOTE e AGPCV) que minimizam o Custo Total das Operações de Picking (CT). Logo, o AGLOTE agrupa os SKUs (Stock Keeping Units) dos diferentes pedidos em múltiplos lotes pela restrição de carga dos trolleys de forma a reduzir o Número de Viagens de Coleta (NVC) e define a sequência de coleta por meio de lotes prioritários para evitar o Atraso no Atendimento dos Pedidos (AAP). O AGPCV faz a roteirização dos lotes dentro do AM de modo que impeça a ocorrência de avarias aos SKUs frágeis e minimize a Distância Total das Rotas (DTR) e o Tempo Total de Picking (TTP). Evidenciou-se que para problemas de complexidade superior os lotes são mais homogêneos, nos quais o Desvio Padrão é pequeno e o Coeficiente de Variação é de 11,22% a 25,20% para a DTR. Para ambientes reais em que se utiliza janelas de tempo e logs de processamentos para lotes off-lines) a combinação do AI-SOF/AGSOC provê soluções otimizadas em tempo e qualidade satisfatória ao SOF/SOC. Em suma, esta pesquisa foi além das abordagens existentes para preencher um gap na literatura e prover uma importante contribuição à prática da otimização do SOF/SOC. É possível conclui que a integração do AI-SOF/AGSOC é capaz de maximizar o faturamento e melhorar a produtividade de forma a minimizar os tempos e custos operacionais de picking do AM. / This thesis integrates two problems from distinct and independent areas called Optimal Sequencing Billing (OSB) and Optimal Picking Sequencing (OPS). Studied separately by researchers, OBS refers to a billing maximization problem and OPS is a variation of the Order Batching and Sequencing Problem (OBSP). Based on practical and scientific assumptions, OSB/OPS portray the picking daily routine in a typical Distribution Warehouse (WA). In OSB, the demand is stochastic and billings occur based on variables time windows that are adjusted to avoid tardiness by prioritizing the service dates based on the Earliest Due Date (EDD) rule. In OPS, picking is manual and falls into the low-level picker-to-parts category, and it uses a trolley that is pushed by an employee along WA aisles. In this context, this thesis has the objective of developing a management tool that can integrate and provide optimal solutions for OSB/OPS. The perspective of integrating OSB/OPS can be achieved through the formulation of two Genetic Algorithms (GAs) called GA-OSB and GA-OPS. Therefore, the focus of this research is to assess GA-OSB/GA-OPS practical efficiency to solve actual OSB/OPS problems. GA-OSB efficiency is compared to an Iterative Greedy Algorithm (IA-OSB) whereas the preference for GA-OPS is justified by the NP-hard nature of OPS. Experiments for problems of different complexity levels showed that algorithms satisfy every rule, restriction and decision variable and provide satisfactory solutions for any OSB/OPS category. IA-OSB/GA-OSB deal with inventory restrictions and the possibility of billing partial orders to maximize Total Billing (TB). Although they also provide quality solutions, IA-OSB performance is better than GA-OSB performance which is limited to OSB medium-sized categories in terms of Computational Processing Time (CPT). GA-OPS comprises the iteration of two GAs (GABATCH and GATSP) that minimize the Total Cost of Picking Operations (TC). Therefore, GABATCH groups SKUs (Stock Keeping Units) of different orders into multiple lots according to trolley load restrictions so as to reduce the Number of Picking Travels (NPT). It also defines a picking sequence by means of priority lots to avoid Tardiness in Customer Orders (TCO). GATSP maps out the routes of lots inside the WA in order to prevent damages to fragile SKUs and to minimize Total Route Distance (TRD) as well as Total Picking Time (TPT). It was evidenced that, for problems of higher complexity, lots are more homogeneous where the Standard Deviation is small and the Coefficient of Variation (CV) ranges from 11.22% to 25.20% to the TRD. For actual environments where time windows and processing logs are used for off-line lots, the IA-OSB/GA-OPS integration provides optimal time solutions and satisfactory quality to OSB/OPS. In short, this research has gone beyond existing approaches to fill a gap in the literature and provide an important contribution to the practice of optimal OSB/OPS. It can be concluded that the integration of IA-OSB/GA-OPS can maximize billing and improve productivity in order to minimize picking operational time and costs in a WA.

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

Denna studie undersöker vilken inverkan voice picking-systemet har på effektiviteten i orderplockningsprocessen samt hur arbetsmiljön påverkas med Baxter som fallföretag. Under det senaste decenniet har ny informationsteknologi haft stor inverkan på logistikbranschen. En av dessa nya teknologier är voice picking-systemet. I detta arbete behandlas faktorer såsom effektivitet och produktivitet, flaskhalsar, mänskliga fel, uttagningsprinciper, lagerstruktur och rutter, arbetsmiljö samt för- och nackdelar som verksamheter bör ta hänsyn till vid användning av ett voice picking-system. Det visade att systemet är effektivt men även att det finns nackdelar att beakta. Metoden som används är en kvalitativ fallstudie. Under arbetets gång genomfördes en observation och åtta intervjuer med anställda som hade olika arbetsroller på Baxters lagerverksamhet i Lund. Samtlig data analyserades därefter med hjälp av studiens teoretiska ramverk och empiri för att kunna avgöra vilken påverkan voice picking-systemet har. Studiens resultat visar att ett voice picking-system kan bidra till en effektivare orderplockningsprocess. Dock kan det också leda till minskad arbetsmotivation på grund av bristande möjlighet till beslutsfattande och ansvarstagande för medarbetarna. / This study investigates what impact the voice picking-system has on the efficiency of the order picking process and how the work environment is affected with Baxter as a case company. Over the past decade, new information technology has had a major impact on the logistics industry. One of these new technologies is the voice picking-system. In this study will factors such as efficiency and productivity, bottlenecks, human error, picking principles, warehouse structure and routes, working environment and pros and cons that businesses should consider when using a voice picking system be treated. It turned out that the voice picking-system is effective, but that there are also disadvantages to consider. The method used in this survey is a qualitative case study. During the study, one observation and eight interviews were accomplished with employees who had different roles at Baxter's warehouse in Lund. All data was then analyzed using the study's theoretical framework and the empirical evidence to determine the impact of the voice picking system. The study's results show that a voice picking system can contribute to a more efficient order picking process. However, it can also lead to reduced work motivation due to a lack of opportunities for decision-making and responsibility for the employees.