Syftet med arbetet har varit att studera hemtagningen av varor ifrån Asien till Sverige, och ta fram olika förbättringsförslag på hur importföretag inom klädindustrin kan minska lagerhållna volymer samt genomflöde i sina centrallager. Detta har gjorts med hjälp av ett textilföretag i, Borås, som tillverkar och importera alla sina produkter ifrån Asien. Textilföretaget vill vara anonyma, därför har författaren av rapporten valt att kalla det för Företag X. Företag X omsätter cirka 500 miljoner, och i dagsläget mellanlandar allt gods i deras centrallagret i Borås. Delar av godset är redan vid produktion öronmärkt till specifik återförsäljare, därför har författaren valt att koncentrera sig på just dessa flöden i rapporten för att avgränsa arbetet något. Rapportens syfte är med andra ord att ta fram olika scenarier som visar på hur detta gods kan levereras direkt ut till respektive återförsäljare, utan att behöva ta omvägen via Borås.För att hitta för- och nackdelar med de olika scenarier gjordes det inledningsvis en litteraturstudie för att skapa en gedigen informationsgrund att utgå ifrån. Sedan genomfördes ett flertal studiebesök och semistrukturerade intervjuer med inblandade parter i försörjningskedjan. Respondenterna var många och från flera olika företag och positioner, allt för att få resultatet så gynnsamt som möjligt för alla inblandade.Analysen visar på tre olika scenarier, utifrån Företag X’s förutsättningar och arbetets avgränsningar, som alla bidrar till att Företag X kan minska sina lagerhållna volymer samt genomflöde i sitt centrallager.Scenario 1 innebär att återförsäljaren tar över ansvaret av godset redan i en hub i Asien. Godset sorteras ut till respektive återförsäljare redan i fabriken alternativt i en hub/terminal i Asien, innan återförsäljaren möter upp och tar över ansvaret vid hubben. Det är då upp till återförsäljaren hur den vill frakta godset från Asien till Sverige, och Företag X släpper där med allt ansvar. Detta scenario innebär att försörjningskedjan är kort och kostnadsfokuserad och Företag X kommer kunna minska de kostnader som uppstår kring frakt och hemtagning av godset.Scenario 2 innebär att återförsäljaren tar över ansvaret för godset vid en terminal/hub i Göteborg. Godset har då cross-dockats (sorterats upp till respektive återförsäljare) antingen i en hub/terminal i Asien eller så görs det i terminalen/hubben i Göteborg. Från hubben i Göteborg är det sedan återförsäljarens ansvar att sköta frakten till sitt eget lager.Scenario 3 är likvärdigt hur det ser ut för Företag X idag, att återförsäljaren tar över ansvaret för godset först när det anlänt till deras lastbrygga. Skillnaden är dock att det gods som redan är öronmärkt till återförsäljare inte mellanlandar i centrallagret i Borås. Istället cross-dockas godset i en hub i Asien, alternativt i en hub i Göteborg.Författaren anser dock att Företag X själva ska göra en djupare efterforskning innan ett scenario eventuellt implementeras, då författaren av rapporten inte hade tillgång till all inköp- och försäljningsdata.vEn slutsats som har dragits och som presenteras i resultatet är att scenario 3 bör vara mest gynnsamt för Företag X i dagsläget och även på lång sikt. De behåller då maximal kontroll av leveransen, vilket innebär att pris- och tillverkningsinformation inte riskerar att hamna i fel händer, vilket skulle kunna resultera i kundbortfall och nya starka konkurrenter. / The purpose of this report was to study the imports of goods from Asia to Sweden, and to present improvements on how companies in the textile industry can reduce their inventory volumes and goods flow in their central warehouse. The study has been done with a little help from a textile company in Borås, which manufactures and imports all their products from Asia. The textile company wants to be anonymous, therefore the author of this report has chosen to entitle it as Company X. Company X has a turnover of approximately 500 million SEK, and they currently interlining all their goods in their central warehouse in Borås. Parts of the goods are already earmarked for specific retailers, therefore the author has chosen to concentrate on these flows only, to delimit the work a bit. In other words, the purpose of the report is to provide different scenarios that show how the goods can be delivered directly to their retailers, without having to take the route through Borås.In order to find the pros and cons of the different scenarios, a literature study was initially made to create a solid information base. Then several visits at Company X and semi structured interviews were conducted with different stakeholders in the supply chain. There were several respondents from different companies and positions, all to make the results of the study as beneficial as possible for all involved.The analysis shows three different scenarios, based on Company X's prerequisites and work delimitations, which all contributes to a reduce of Company X stored volumes and goods flow in its central warehouse.Scenario 1: The retailer takes over the responsibility of the goods already in a hub in Asia. The goods are sorted out to respective retailer already in the factory or in a hub/terminal in Asia, before the retailer meets up and take over the responsibility of the goods at the hub. Then it is up to the retailer how they want to ship the goods from Asia to Sweden, and at that time Company X releases all the responsibility. This scenario means that the supply chain is short and cost-focused, and Company X will be able to reduce their costs that arise from shipping the goods.Scenario 2: The retailer takes over the responsibility for the goods at a terminal/hub in Gothenburg. Before that, the goods have been cross-docked (sorted out to respective retailers) either in a hub/terminal in Asia or in the terminal/hub in Gothenburg. From the hub in Gothenburg it is the retailer’s responsibility to handle the freight to their own warehouse.Scenario 3: Is equivalent to what it looks like for Company X today, where the retailer takes over the responsibility for the goods when it arrives at their own warehouse. The difference is that the goods do not pass at the central warehouse in Borås. Instead, the goods are cross-docked in a hub in Asia, alternatively in a hub in Gothenburg, before it delivers to the retailers.The author of this report believes that Company X must do a deeper investigation before a scenario may be implemented, as the author of the report did not have access to all purchase- and sales data.viiOne conclusion that has been drawn is that scenario 3 should be most favourable to Company X both at the present and at a long term. They retain the maximum control of delivery, which means that information about price and manufacturing does not end up in wrong hands, which could lead to a loss of customer and new stong competitors.

Bakgrund:                   För att stärka sin position på marknaden önskar Staples Sweden AB utöka sitt artikelsortiment till att omfatta 1 000 000 artiklar. För att möjliggöra sortimentsexpansionen behövs beslutsunderlag rörande hantering och kostnadsstruktur identifieras. Syfte:                          Syftet med studien är att utveckla en modell vid val och utformning av distributionssätt för att föreslå en distributionsslösning. Syftet är också att genom en kostnadsanalys identifiera orderkostnadsstrukturen för den föreslagna distributionslösningen. Metod:                        Vid genomförandet av studien tillämpades en fallstudiedesign. Det empiriska materialet samlades in genom intervjuer utförda på Staples Sweden AB. Slutsats:                      Vid tillämpningen av modellen som utvecklades i studien framkom att distributionslösningen ska utgöras av direktleveranser, konsoliderade direkleveranser, ”cross-docking”, ”cross-docking” med buffert och traditionell lagerhållning. Orderkostnaden skiljde sig mellan distributionssätten där ”cross-docking” var billigast och direktleveransvarianterna var dyrast. / Background:               To strengthen its position on the market, Staples Sweden AB seeks to expand its product range to include one million articles. The problem is that no one in the company knows how such a variety of items should be managed and how the structure of order costs would change. Based on these problems, the task for the study arose. Purpose:                      The thesis aims to develop a model for the selection and design of distribution methods for proposing a solution that can manage one million articles. It also aims to identify the structure of order cost for the proposed solution through a cost analysis. Methodology:             The study was conducted by applying a case study design. The empirical data were collected through interviews conducted at the Staples Sweden AB. Conclusion:                 In the application of the developed model showed that the distribution solution should consist of direct shipping, consolidated direct shipping, cross-docking, cross-docking with buffer and traditional warehousing. Order cost differed between distribution where "cross-docking" showed to be the cheapest and direct shipping variants were the most expensive.

Dans une plateforme de cross-docking, les produits sont déchargés descamions entrants, triés puis directement rechargés dans les camions sortants– chaque produit passe moins de 24 heures sur la plateforme.L’analyse des écarts entre la littérature et les observations réalisées sur leterrain permet de dégager deux axes de recherche : la prise en compte desincertitudes opérationnelles d’une part, et de la capacité des ressourceshumaines de la plateforme d’autre part.Le problème de planification des camions entrants et sortants avec fenêtrede temps est modélisé par un programme linéaire et résolu par troisheuristiques différentes. La robustesse des plannings obtenus est ensuitetestée à l’aide d’un modèle de simulation à événements discrets, qui permetd’évaluer plusieurs reformulations robustes du modèle initial.Le problème de planification des employés sur la plateforme est traité àl’aide de trois programmes linéaires mixtes, résolus de façon séquentielle.La combinaison des deux modèles permet d’obtenir un modèle d’aide àla décision pour une plateforme de cross-docking. / In a cross-docking platform, goods are unloaded from inbound trucks,sorted and directly reloaded in outbound trucks – each product typicallystays less than 24 hours in the platform.By analyzing the gaps between the literature and on-field observations,we highlight two research directions: accounting for operational uncertainties,and for the human resource capacity in the platform.A truck scheduling problem with time windows for the inbound andoutbound trucks is modeled with an integer program and solved withthree different heuristics. The robustness of the schedules obtained is thentested with a discrete-event simulation model, which enables to evaluateseveral robust reformulations of the initial model.The employee timetabling and rostering problem in the platform is addressedwith three mixed integer linear problems solved sequentially. Thetwo models can be combined to serve as a decision-support tool for across-docking platform.

Dissertation (PhD)--Stellenbosch, 2004. / ENGLISH ABSTRACT: The dissertation reflects the research done on the design principles and success factors for the operation of cross dock facilities in grocery and retail supply chains. The cross dock is a particular facility in the supply chain where goods are received from suppliers, sorted without storage of the goods, and then efficiently moved to downstream customers. Cross docks are not a new operation. However, the use in high volume grocery and retail operational capabilities is poorly understood and is not uniquely defined. The problem is that cross docks are often seen as extensions of warehouses. The same personnel, systems and processes are applied and the efficiency potential of the cross dock is not achieved. Warehouses are orientated towards storing the full range of product and allowing the pick to be done from this storage buffer to provide any or all of these products to a customer. Cross docks will only handle products that are used in larger quantities and that are sent to most, if not all, the customers. The cross dock is therefore distinct and very different from the traditional warehouse. The published research tends to focus on the technical aspects of the cross dock layout. This research is primarily in the scheduling of the trucks into the yard of the facility; the allocation of trucks to specific doors of the facility; and the allocation of doors to receiving and despatch functions within the facility. Very little information or research reflects the design principles and success factors for the cross dock and its supply chain. The only classification of the cross dock in the literature is whether the barcode is added to the item before or after receipt at the cross dock. For this research work a literature survey was conducted and five major operations were reviewed, in South Africa and the USA. The research empirically drew logical conclusions, which were tested in the operations and found to be correct. This allowed the design principles and success factors to be determined for a successful cross dock. The research extends the knowledge of the cross dock operation and design: - • A new classification for the feasible types of cross docks in the supply chain was developed. Three factors are shown to be of primary importance: - o Where in the supply chain the identification of specific items for a customer is done; o Where the sort is done for the items to be delivered to a customer; and o Whether the supplier is providing one product or multiple products to the sort. From these three factors, eight potential classifications could be defined. However, only three practical types of cross dock can be determined from these eight alternatives. These are named in this research as Cross Dock Managed Load (CML); Joint Managed Load (JML); and the Supplier Managed Load (SML). The cross dock is far more effective than the warehouse when the total work (excluding inventory) is considered. The earlier in the supply chain the product is identified for the use of the entire downstream supply chain, the more effective will be the total supply chain. Thus the greatest supply chain effectiveness possible is with the SML, then the JML and finally the CML. • The operation of a cross dock is very similar to a continuous manufacturing process. There is no buffer of stock to decouple the inbound and outbound processes, and the operation takes place in a restricted area. However, in the retail chain, the workload alters with different orders and different days. Daily load differences vary by as much as 90%. This results in vastly different workloads and variations of throughput. This is similar to a batch operation with highly variable workloads between batches. The literature recommends the use of Just in Time (JIT) practice for cross docks. This is inappropriate as its primary requirements are continuous full volume operation and continuous small improvements to achieve a balanced operation. The most appropriate method of process improvement is the Theory of Constraints (TO C) and not JlT. • The management must have a detailed, disciplined approach. This implies standardised methods of operation, and a high degree of training. Equally there is the requirement for a special type of personnel to operate the cross dock. These operating personnel must be able to operate with precision (i.e. very low error rates) and be able to maintain this capability for continuous periods. • The systems required for a successful operation must include the capabilities of Yard Management, WMS for cross docking, Order Management with Advanced Shipping Notice (ASN) capability and Track and Trace across the supply chain. The items need to be identified by a barcode. The information required on the barcode will be determined by. the information systems capability of the least advanced service provider in the supply chain. If this service provider can receive and transmit all the data required for the supply chain from and to the other members, then the barcode need only be an identification number of the specific item. The data pertaining to the items is then passed from system to system in the supply chain. If data movement is not possible between all the parties in the entire supply chain, then the barcode must contain the information that will identify the item, the origin and the final delivery destination. If the items are delivered as part of a consignment, a further quantum of information is required to identify the total number of items in the consignment and the specific item within the consignment. • The research shows that the overall capability of the cross dock or its maximum capacity is the combination of the capability of the personnel and the cross dock design. Restrictions on either the personnel capability or the design of the cross dock, or both, severely reduces the effectiveness of the cross dock. • The previous research on the sequence of allocation of trucks to specific doors within the cross dock can be enhanced with a new sequencing method. The new method allocates the transport, in sequence of arrival, to the open door that either numrruses the walk distance in the facility; or maximises the completion of the consignments in order to minimise the area required to build the consignments; or a combination of both. The choice of these will be determined by the constraints imposed by the design of the building. This is an important extension as this ties the supply chain into the cross dock operation, rather than looking at the cross dock in isolation as has been done in this previous research. • The factors that influence the design of a cross dock as to its size, shape, number of doors, and the specifically required additional areas, is defined in detail. The principles of these factors and their inter-relationships and dependencies are used in a detailed design for a cross dock. The detailed design process is set out from data analysis through to the actual size calculations and layouts. Measurements of walk distance and sort movement are used to determine the most effective design. The design is shown to be considerably more effective than the older designs. This work has significantly extended the research on the design principles and success factors for implementation of cross docks in retail supply chains. The research derives a unique new classification for cross docks. An improvement is made to existing research on the allocation of the transport to particular doors in the cross dock. The operation, management and personnel are shown to require specific characteristics. The information systems required for effective cross docks is determined and defined. The identification of the individual items by barcode and the information required within the barcode depending on the information sophistication of the service providers in the supply chain is defined. A detail process to design a cross dock is evolved, with the full knowledge of the factors that must be considered and their interrelationships. Measurements to determine the effectiveness of the design are used to choose the most appropriate design. All these are then synthesised into a new design, which is far more effective than any of the other designs researched. The design process will produce a very effective cross dock as has been demonstrated with a new facility. / AFRIKAANSE OPSOMMING: geen opsomming

The thesis focuses on optimization of inbound and outbound truck scheduling with thegoal of minimizing total operation time of cross docking. A model of cross docking isdeveloped; two different methods are applied on the model in order to find an optimaldocking sequence for receiving and shipping trucks and their assignment to receiving andshipping docks, and product routing from receiving to shipping trucks.The two methods used were mathematical modeling and heuristic algorithm. For the firstmethod, a mixed integer programming model was developed to minimize total operationtime; AMPL modeling language is used for the mathematical modeling for small sizedproblems. For the second method, a heuristic algorithm was developed to find nearoptimal solutions fast and was used for problems of larger size. In order to examine theperformance of heuristic algorithm, small problems were solved by both mathematicalmodel and the heuristic algorithm.The results from the mathematical model and the heuristic algorithm are very close withslight differences in receiving and shipping truck docking sequence, and in productrouting between these two methods. In addition, the heuristic algorithm also calculatesnumber of products transferring from receiving trucks to the temporary storage as well asthe number of products transferring from the temporary storage to shipping truck incontrary to the mathematical model. Total number of units of products passing throughthe temporary storage calculated by heuristic algorithm is presented and it can be seenthat the heuristic algorithm transfers to the temporary storage as few products as possible.Furthermore, in cases that receiving and shipping trucks are divided into groups orclusters in the cross docking operation, heuristic algorithm can be used to calculateoptimal number of receiving and shipping docks based on preferences of total operationtime or total number of products passing through the temporary storage.Another issue which is focused on is the problem of dock door assignment. Closeshipping docks to each receiving dock are determined and the percentage of productstransferred from a receiving dock to its close shipping docks is calculated as a method tomeasure the performance of the dock assignment solution.

Problem: Since there is not much inside information available, the problem that will be handled by this thesis is the coordination of warehousing activities within the logistics centers put to use by the Olympic Summer Games from 2000 to 2008. A special attention is given to certain requirements such as layout, capacity management, ownership and distribution applications. Purpose: The purpose of this thesis is based on warehouse requirementsand their specific adjustment to the Olympic Summer Games, further emphasizing on distribution applications influencing the capacityand ownership. Theory: The theoretical section touches upon event logistics, the Olympic Games and more importantly, logistics centers as a generic termfor distribution facilities and warehouses. Further, types of warehouses, capacity management, ownership and distribution applications are examined in order to be able to compare the various Games. Method: The method for this research is based on a case study conducted by semi-structured interviews with several people involved in the logistics organization of the Games. All interviews are conducted over the telephone and analyzed accordingly. However, secondary data was of high importance due to the limited number of interview respondents. Conclusion: All analyzed features of a warehouse facility had to be more efficiently and effectively performed in order to serve the great approach for the Olympic Summer Games. The implementation of distribution applications was not sophisticated enough to benefit capacity savings. The leased ownership situation and outsourcing to third party logistics providers were advantageous, but did not further influence the planning and utilization phase of the Olympic Games.

In the distribution network of a large retailer, shipments can either be transported by the retailer's own trucks or outsourced to third-party logistics (3PL) companies. In the former case, shipments are consolidated and transported from their origins through an intermediate facility, namely a crossdock. At a crossdock, shipments are unloaded, sorted, re-consolidated, loaded and transported to their destinations. The consolidation process offers economies of scale that reduce the transportation costs. At the same time, it increases travel distances and incurs handling costs at a crossdock. For this reason, consolidation is uneconomic for a shipment in which origin and destination are located close to one other, especially through a distant crossdock. It is cheaper to outsource transportation of such a shipment to 3PL companies. This shipping decision raises a series of questions. Should a shipment be consolidated through a crossdock or outsourced to 3PL companies? How do facility locations, the operational cost of a crossdock and mode of shipments influence the shipping decision? Can the robustness and potential growth of a crossdock be measured? How does outsourcing affect the robustness and potential growth of a crossdock? We formulate a strategic model of a retailer's distribution network as an economic trade-off between consolidated shipments through a crossdock and outsourced shipments to 3PL companies. We study the locus of facility locations where the costs of a consolidated shipment and an outsourced shipment are equal and discover that the trade-off can be modeled by classical geometric curves, particularly an ellipse, a hyperbola, a limacon and a Cartesian oval. These curves can be developed into a preliminary routing and locating tool. We also observe interesting connections between the single hub crossdocking network and other fields of geometric study, such as Voronoi diagrams and geometric inversion. In addition, the area bounded by these curves represents the likelihood in which a particular shipment is consolidated through a crossdock. We expand this concept to multiple vendor-store pairs and suggest an index that measures robustness and potential growth of a particular crossdock. This asymptotic-probability index explains economic driving factors of consolidation and outsourcing. Although the derivation of the index is limited by the dimension and spatial distribution of facilities, its numerical value can be determined by a computer simulation. Therefore, we use Monte Carlo simulation to compute the proposed index to explain the outsourcing and the interaction between TL threshold0.1 and mode of shipments. The analysis and computer simulation suggest that outsourcing may cause an adverse effect in a single hub crossdocking network, resulting in the abrupt reduction of consolidated shipments in the network. Furthermore, we propose transportation planning to alleviate this effect and compare them to the optimal allocation. The routing and locating application of the model is illustrated using the Home Depot distribution network. Our model predicts 5.5% and additional 1.0% savings in transportation cost by re-allocation of shipments and re-location of crossdocks, respectively. The empirical study shows that the adverse effect of outsourcing can be eliminated by limiting the number of crossdocks used by each store.

The main aim of the diploma thesis was to explain functional principles and technical bases of a radio frequency identification (RFID) and usage RFID in company Robert Bosch České Budějovice, Ltd. Another aim of this paper was to analyse systems of supply (a internal logistics) in this company. The attention was also given to description of chosen logistic methods and technologies and their use within the framework of Bosch Production System in Robert Bosch České Budějovice, Ltd.

Purpose – The purpose of the study is to investigate how warehouse layout and materials handling affects the performance targets; cost and quality in an enterprise where more than one method is operationally active. In order to accomplish the purpose of the study two research questions were formulated.   1. How will the choices that an enterprise makes regarding different methods within warehouse layout and materials handling affect cost and quality?   2. How are methods within warehouse layout and materials handling interacting when being active simultaneously in an enterprise?   Method – In order to accomplish the purpose and answer the chosen research questions a case study has been conducted at a distribution centre. Interview and observation are the employed data collection techniques when collecting relevant data. To establish the theoretical framework a literature review has been carried out. Collected data and theoretical framework have subsequently been used to answer the research questions.   Findings – The choices that an enterprise makes when using different storage methods has been shown to influence cost and quality in various ways, with free stacking having the most negative impact. Coexistence between the materials handling methods; FIFO and cross-docking, might result in an enterprise ignoring visions and policies. In other words, the relationship between operative active methods needs to be taken in to consideration in order to fulfil performance targets.   Implications – The theoretical implication with the study has been to enlighten a new aspect of already existing theory, where the relationship between FIFO and cross-docking has been the focus of analysis. This might assist enterprises in gaining knowledge when using operationally active methods simultaneously. A practical implication of the study is that enterprises must understand in what ways the coexistence of storage methods might disrupt flow of products in a distribution centre. In this way, this study contributes to raising awareness among enterprises in terms of finding novel approaches to working with storage with the main purpose of improving their logistics performance.   Limitations – The ability to generalize the study can be questioned due to the fact that it consists of only one business case. Moreover, surrounding factors, which could have brought valuable data to the investigation, have been excluded due to the limited scope of the study.

This diploma thesis deals with the real use of operation research method in conjunction with logistics Cross-Docking technology. It is possible to solve this conjunction with either routing problems along with its modifications or simulations methods. The theoretical part describes routing problems, routing problems with time windows, simulations methods with their possibilities of real use and logistics technologies. A model of a Cross-Docking terminal that was created in the program Simul8 can be found in the practical part of this thesis. The goal of the simulation was to ensure smooth flow of products through the terminal without any long queues in the terminal. Routing problems designed to minimize the length of its routes can be found in the second half of the practical part. Other possible real application is routing problems on the real problem. The solution for this task was found using the modelling system MPL for Windows.