In the context of business intelligence (BI), the accuracy and accessibility of information consolidation play an important role. Integrating data from different sources involves its transformation according to constraints expressed in an appropriate language. The Conceptual Integration Modelling framework (CIM) acts as such a language. The CIM is aimed to allow business users to specify what information is needed in a simplified and comprehensive language. Achieving this requires raising the level of abstraction to the conceptual level, so that users are able to pose queries expressed in a conceptual query language (CQL). The CIM is comprised of three facets: an Extended Entity Relationship (EER) model (a high level conceptual model that is used to design databases), a conceptual schema against which users pose their queries, a relational multidimensional model that represents data sources, and mappings between the conceptual schema and sources. Such mappings can be specified in two ways: in the first scenario, the so-called global-as-view (GAV), the global schema is mapped to views over the relational sources by specifying how to obtain tuples of the global relation from tuples in the sources. In the second scenario, sources may contain less detailed information (a more aggregated data) so the local relations are defined as views over global relations that is called as local-as-view (LAV). In this thesis, we address the problem of expressibility and decidability of queries written in CQL. We first define the semantics of the CIM by translating the conceptual model so we could translate it into a set of first order sentences containing a class of conceptual dependencies (CDs) - tuple-generating dependencies (TGDs) and equality generating dependencies (EGDs), in addition to certain (first order) restrictions to express multidimensionality. Here a multidimensionality means that facts in a data warehouse can be described from different perspectives. The EGDs set the equality between tuples and the TGDs set the rule that two instances are in a subtype association (more precise definitions are given further in the thesis). We use a non-conflicting class of conceptual dependencies that guarantees a query's decidability. The non-conflicting dependencies avoid an interaction between TGDs and EGDs. Our semantics extend the existing semantics defined for extended entity relationship models to the notions of fact, dimension category, dimensional hierarchy and dimension attributes. In addition, a class of conceptual queries will be defined and proven to be decidable. A DL-Lite logic has been extensively used for query rewriting as it allows us to reduce the complexity of the query answering to AC0. Moreover, we present a query rewriting algorithm for the class of defined conceptual dependencies. Finally, we consider the problem in light of GAV and LAV approaches and prove the query answering complexities. The query answering problem becomes decidable if we add certain constraints to a well-known set of EGDs + TGDs dependencies to guarantee summarizability. The query answering problem in light of the global-as-a-view approach of mapping has AC0 data complexity and EXPTIME combined complexity. This problem becomes coNP hard if we are to consider it a LAV approach of mapping.

The issue of the work is use of simulation methods in real situation. First part of thesis belongs to explanation of warehouse technologies and simulation techniques used in the work. Follows a transformation of real enterprise warehouse to computer simulation model. The main part is focused on experiments on this model which solves real problems in this warehouse. Target of first experiment is to find solutions to shorten the waiting time of trucks. This is accomplished by series of experiments, which are compared and the best solution is selected. Another three experiments contains future or hypothetical situations in the warehouse. On the basis of the simulation results future steps and preparations are proposed.

This masters thesis is looking into problematics of making logistical processes much more effective in the field of shipping, storing and cargo management in frozen meat distribution business. After analyzing current problems with shipping and storage in subjected company, solution will be crafted and guidelines to alleviate and improve current situation.

The diploma thesis deals with the issue of process automatization in the company ABB s.r.o, specifically in the warehouse 701, where the operated forklift is currently used. Based on the analysis, proposals are made to improve the current logistics processes taking place in the warehouse, to increase the quality of operations associated with the storage and removal of material, increase the use of labor capacity, improve workplace conditions, and increase occupational safety.

Autonomous mobile robots (AMRs) use decentralized, AI-driven decision-making processes to providing material handling capabilities in industrial settings. Essay 1 examines how firms organize and engage to mitigate uncertainty during external technology integration (ETI), using an abductive approach with dyadic customer-supplier data to extend prior ETI models by exploring firm engagement, organizational adaptation, and distinct uncertainty types in AMR ETI projects. Essay 2 applies a grounded theory approach to examine AMR integration, using constant comparison and theoretical sampling to develop core categories explaining how suppliers, customers, and users exchange knowledge impacting AMR integration and project performance. Finally, Essay 3 is a conceptual paper examining the importance of end-user adoption by integrating ETI and technology acceptance model (TAM) frameworks, exploring important relationships between managerial interventions, cognitive constructs, user acceptance, and project success in AMR ETIs. As a whole, these essays contribute to the body of knowledge by extending the breadth and depth of current ETI models, emerging a substantive theory of AMR AIU, and extending TAM by grounding managerial interventions and individual cognitive constructs in an AMR context. Managers can use these frameworks to differentiate AMRs and other autonomous collaborative technology from traditional automation, and develop strategies enabling timely and effective AMR implementation.

<p> The main focus of this paper is to investigate retail found in designated industrial districts within the City of Mississauga. Specifically, it will concentrate on the high order goods retailing or retail warehousing, its location and the planning policies that seek, in theory, to control its development. This is a new trend in retailing that should be investigated in more detail.</p> / Thesis / Candidate in Philosophy

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The e-commerce revolution has brought about the need for more efficient order fulfillment. Guidelines are needed to determine the order fulfillment system design, and whether a manual or automated system should be implemented. A spreadsheet-based descriptive model has been developed based on demand levels, labor rates, and order sizes. We propose to combine the descriptive model with simulation output to demonstrate reactions of the system to fluctuations in demand, labor rates, and order sizes. The ultimate research goal is to provide a design aid to companies engaged in order fulfillment systems, emphasizing the decision of whether or not to automate the sorting process. / Master of Science

Yes / The explosive rise in technologies has revolutionised the way in which business operate, consumers buy, and the pace at which these activities take place. These advancements continue to have profound impact on business processes across the entire organisation. As such, Logistics and Supply Chain Management (LSCM) are also leveraging benefits from digitisation, allowing organisations to increase efficiency and productivity, whilst also providing greater transparency and accuracy in the movement of goods. While the warehouse is a key component within LSCM, warehousing research remains an understudied area within overall supply chain research, accounting for only a fraction of the overall research within this field. However, of the extant warehouse research, attention has largely been placed on warehouse design, performance and technology use, yet overlooking the determinants of Artificial Intelligence (AI) adoption within warehouses. Accordingly, through proposing an extension of the Technology–Organisation–Environment (TOE) framework, this research explores the barriers and opportunities of AI within the warehouse of a major retailer. The findings for this qualitative study reveal AI challenges resulting from a shortage of both skill and mind-set of operational management, while also uncovering the opportunities presented through existing IT infrastructure and pre-existing AI exposure of management.

The global economic environment nowadays becomes so competitive, all enterprises suffer a challenging and confronting adversity. Due to the knowledge economy era, all enterprises need to emphasize the internal information management and application. Therefore, the Data Warehousing (DW) turns into the best solution for an enterprise. As each enterprise has different structure and behavior views, the DW definition is required to adapt to the enterprise environment. To resolve this problem, an enterprise must increase the business cost, and system managers are demanded to modify the programs repeatedly. Our research aims to assist the DW by defining a model of Architecture-Oriented Data Warehousing Framework (AODWF) which helps analyze and design the software with ease. The AODWF is to describe the structure and behavior in one unity. Using this approach of structure and behavior in one unity, developers would devise and adjust the DW more flexible and adaptable. This thesis distinguishes into three parts. The first part is to introduce the architecture theory. The second part is to explain how to build up an architecture model. The third part is to propose the AODWF. Inside the thesis, DW structure elements, operations, and structure and behavior in one unity are elaborated. Also, using AODWF assists system developers to construct the DW for an enterprise. In the future, we would further our efforts on the implementation, testing, cost and performance management of the AODWF. The DW contains other software, for example, Business Intelligent, Data Mart, Data Mining and On-line analysis processing, etc. We may construct these software using the architecture model, too. Key words¡GData Warehousing, Architecture-Oriented Data Warehousing, Structure and Behavior in One Unity, Architecture Model.