Uses and applications of artificial intelligence in manufacturing

The purpose of the THESIS is to provide engineers and personnels with a overview of the concepts that underline Artificial Intelligence and Expert Systems. Artificial Intelligence is concerned with the developments of theories and techniques required to provide a computational engine with the abilities to perceive, think and act, in an intelligent manner in a complex environment. Expert system is branch of Artificial Intelligence where the methods of reasoning emulate those of human experts. Artificial Intelligence derives it\u27s power from its ability to represent complex forms of knowledge, some of it common sense, heuristic and symbolic, and the ability to apply the knowledge in searching for solutions. The Thesis will review : The components of an intelligent system, The basics of knowledge representation, Search based problem solving methods, Expert system technologies, Uses and applications of AI in various manufacturing areas like Design, Process Planning, Production Management, Energy Management, Quality Assurance, Manufacturing Simulation, Robotics, Machine Vision etc. Prime objectives of the Thesis are to understand the basic concepts underlying Artificial Intelligence and be able to identify where the technology may be applied in the field of Manufacturing Engineering

The impact of inventory in service operations management in a South African warehouse

Abstract: Inventory is handled in different places, in the households, warehouses, stores, factories and service areas like banks and it is also controlled differently. However, across these diversity storages, there is the mutual problem of shrinkage. This research examine the impact of inventory loss in service operation management at Spar North Rand distribution. Experience has shown that even though inventory loss can be recognised to a few sources, such as, shoplifting, employee crime, seller fraud, administrative mistakes, there are still other unclear reasons. This study examined the impact of inventory loss in service operations management of warehouses with a view to preventing inventory loss for better productivity. In this study, the impact of inventory loss was measured using operational performance, drivers to effective inventory, inventory procedure and barriers to effective inventory. This paper adopted a quantitative research strategy. Using the five-point Likert scale, one hundred and fifty (150) Questionnaires were distributed to the employees at Spar North Rand distribution. 80.67 % questionnaires were completed, 5.3% was not returned, 4.67% where unusable, and 9.3% where returned uncompleted due to employees refusing to partake. Only 121 questionnaires were useable. The data were analysed using SPSS vision 24 to present and test the network of correlations between the variables. The results showed that there was a positive relationship (r = 0.510; p < 0.01) between operational performance and the drivers to effective inventory. From this research, it become evident that lack of training and lack of motivation such as recognition and incentives for staff acts as a huge negative impacts in service operations management. Insufficient training was identified as the main barrier, whereas lack of motivation was identified as the main driver to effective inventory management. Implementation of performance checklist was found to have the greatest impact to operational performance.M.Tech. (Operations Management

AntGrip -- Boosting parallel plate gripper performance inspired by the internal hairs of ant mandibles

Ants use their mandibles - effectively a two-finger gripper - for a wide range of grasping activities. Here we investigate whether mimicking the internal hairs found on ant mandibles can improve performance of a two-finger parallel plate robot gripper. With bin picking applications in mind, the gripper fingers are long and slim, with interchangeable soft gripping pads that can be hairy or hairless. A total of 2400 video-documented experiments have been conducted, comparing hairless to hairy pads with different hair patterns. Simply by adding hairs, the grasp success rate was increased by at least 29%, and the number of objects that remain securely gripped during manipulation more than doubled. This result not only advances the state of the art in grasping technology, but also provides novel insight into the mechanical role of mandible hairs in ant biology

Potential of RFID technology in logistics - Case Metso Paper -

Viime vuosina palveluliiketoiminnan merkitys ydinosaamista tukevana prosessina on kasvanut merkittävästi. Metso Paperin ydinosaamista on paperikoneiden valmistus mutta Service liiketoimintaan panostetaan vahvasti ja siltä odotetaan kasvua. Tällä osa-alueella logistiikalla ja etenkin materiaalin tunnistamisella on iso vaikutus prosessien tehokkuuteen. Viivakoodi on yleisesti ollut hallitseva automaattisen tunnistamisen menetelmä mutta sillä on omat rajoituksensa. RFID:llä nämä rajoitukset voidaan voittaa. Standardisoinnin sekä teknisen kehityksen ansiosta se on nopeasti noussut vaihtoehtoiseksi menetelmäksi tehostaa logistiikkaa. Siksi Metso Paper Service on nähnyt RFID tutkimuksen tarpeelliseksi. Tämän Pro Gradu tutkimuksen tarkoitus on selvittää voidaanko RFID:llä tehostaa Metso Paper Servicen nimettyjä prosesseja. Tavoitteena on tunnistaa ne prosessit joissa RFID:llä voitaisiin saavuttaa liiketoiminnallisia parannuksia ja kustannussäästöjä nykyiseen toimintamalliin verrattuna. Tutkimus on toteutettu haastattelemalla avainhenkilöitä teema kysymyksillä 8:sta toimeksiantajan nimeämästä prosessista. Haastattelun ja tilastollisen aineiston perusteella nykyiset toimintamallit ja materiaalin tunnistamiseen liittyvät oleelliset asiat on kuvattu prosessikarttoineen. Lisäksi teoriaosa esittelee RFID tekniikan pääosin tasolla, jonka käyttäjän on hyvä tietää. Tältä pohjalta on analysoitu pystytäänkö RFID:n avulla tehostamaan prosessin toimintaa. Tutkimuksessa havaittiin että useampi prosessi kehittyisi jollakin tavalla RFID:stä mutta toteutettavuus ja saavutettavan hyödyn määrä vaihtelevat. Kuitenkin yksi prosessi muodostui muita selvästi sopivammaksi. Tutkimuksen viimeisessä osassa on selvitetty RFID:n tarkemmat toiminnalliset sekä taloudelliset vaikutukset tähän prosessiin, niin tarkasti kuin se etukäteen on mahdollista. Lopputuloksena päädyttiin suosittelemaan RFID pilottiprojektia suomalaisten asiakkaiden kanssa.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format

Preparation and control of intelligent automation systems

In the automation systems of tomorrow, it is likely that the devices included have various degrees of autonomy, and include advanced algorithms for perception and control. Human operators will be expected to work together with collaborative robots as well as with roaming robots for material handling.The volatile nature of the environment of such intelligent automation systems lead to an enormous amount of possible situations that can arise and which need to be suitably handled. This complexity makes development of control systems for intelligent automation systems difficult using traditional methods.As an alternative, this thesis presents a model-based control framework, which uses a combination of formal specification and automated planning. The proposed framework allows for defining the intentions of the automation system on a high level, which enables decisions that influence when things should occur to be modeled using logical constraints, rather than programming. To achieve a modular framework, low level, reusable, resource models are composed by 1) formal specification to ensure safety and 2) applying an abstraction called an operation, which couples the reusable resources to the intentions of the system. By planning also the resources\u27 detailed actions, the operations can, when possible, be completed regardless of the resources\u27 current state. This eases error-recovery, as resources do not have to be reset when an error occurs.Additionally, the thesis proposes an iterative and interactive workflow for integrating the proposed model-based control framework into a virtual preparation process, using computer-based simulation as a tool for validating formal specifications. The control framework allows for adding new constraints to a running system, enabling an efficient and interactive preparation process.The framework has been applied to a use case from final assembly, which features human-robot collaboration. Experimental results on the ability to handle unforeseen errors and planning performance are presented

Plan de empresa: OndaOla Surfboards

The purpose of this dissertation is to present a business plan based on a real case: a surfboard e-commerce. The report analyses the environmental factors and the facts that suggest an opportunity to enter the market. We will see a complete breakdown of the activity from the early design to the post-sales service, setting a commodity chain that integrates all kind of business activities as cost accounting, logistics or sales representation. The paper is much based on the product and the commodity chain rather than in the analysis of the economic and financial performance, since the project is viewed from a sole trader perspective with limited resources and time

A Pure Embedding of Roles: Exploring 4-dimensional Dispatch for Roles in Structured Contexts

Present-day software systems have to fulfill an increasing number of requirements, which makes them more and more complex. Many systems need to anticipate changing contexts or need to adapt to changing business rules or requirements. The challenge of 21th-century software development will be to cope with these aspects. We believe that the role concept offers a simple way to adapt an object-oriented program to its changing context. In a role-based application, an object plays multiple roles during its lifetime. If the contexts are represented as first-class entities, they provide dynamic views to the object-oriented program, and if a context changes, the dynamic views can be switched easily, and the software system adapts automatically. However, the concepts of roles and dynamic contexts have been discussed for a long time in many areas of computer science. So far, their employment in an existing object-oriented language requires a specific runtime environment. Also, classical object-oriented languages and their runtime systems are not able to cope with essential role-specific features, such as true delegation or dynamic binding of roles. In addition to that, contexts and views seem to be important in software development. The traditional code-oriented approach to software engineering becomes less and less satisfactory. The support for multiple views of a software system scales much better to the needs of todays systems. However, it relies on programming languages to provide roles for the construction of views. As a solution, this thesis presents an implementation pattern for role-playing objects that does not require a specific runtime system, the SCala ROles Language (SCROLL). Via this library approach, roles are embedded in a statically typed base language as dynamically evolving objects. The approach is pure in the sense that there is no need for an additional compiler or tooling. The implementation pattern is demonstrated on the basis of the Scala language. As technical support from Scala, the pattern requires dynamic mixins, compiler-translated function calls, and implicit conversions. The details how roles are implemented are hidden in a Scala library and therefore transparent to SCROLL programmers. The SCROLL library supports roles embedded in structured contexts. Additionally, a four-dimensional, context-aware dispatch at runtime is presented. It overcomes the subtle ambiguities introduced with the rich semantics of role-playing objects. SCROLL is written in Scala, which blends a modern object-oriented with a functional programming language. The size of the library is below 1400 lines of code so that it can be considered to have minimalistic design and to be easy to maintain. Our approach solves several practical problems arising in the area of dynamical extensibility and adaptation

Design and Simulation Analysis of Deep Learning Based Approaches and Multi-Attribute Algorithms for Warehouse Task Selection

With the growth and adoption of global supply chains and internet technologies, warehouse operations have become more demanding. Particularly, the number of orders being processed over a given time frame is drastically increasing, leading to more work content. This makes operational tasks, such as material retrieval and storage, done manually more inefficient. To improve system-level warehouse efficiency, collaborating Autonomous Vehicles (AVs) are needed. Several design challenges encompass an AV, some critical aspects are navigation, path planning, obstacle avoidance, task selection decisions, communication, and control systems. The current study addresses the warehouse task selection problem given a dynamic pending task list and considering multiple attributes: distance, traffic, collaboration, and due date, using situational decision-making approaches. The study includes the design and analysis of two situational decision-making approaches for multi-attribute dynamic warehouse task selection: Deep Learning Approach for Multi-Attribute Task Selection (DLT) and Situation based Greedy (SGY) algorithm that uses a traditional algorithmic approach. The two approaches are designed and analyzed in the current work. Further, they are evaluated using a simulation-based experiment. The results show that both the DLT and SGY have potential and are effective in comparison to the earliest due date first and shortest travel distance-based rules in addressing the multi-attribute task selection needs of a warehouse operation under the given experimental conditions and trade-offs