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  • 1.
    Adlemo, Anders
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Hilletofth, Per
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Fuzzy logic based decision-support for reshoring decisions2018In: Proceedings of the 8th International Conference on Operations and Supply Chain Management, 2018Conference paper (Refereed)
  • 2.
    Adlemo, Anders
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Hilletofth, Per
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Eriksson, David
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Knowledge intensive decision support for reshoring decisions2018In: Proceedings of the 30th Annual NOFOMA Conference: Relevant Logistics and Supply Chain Management Research, Kolding, 2018Conference paper (Refereed)
  • 3.
    Adlemo, Anders
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Hilletofth, Per
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Eriksson, David
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Reshoring decision support in a Swedish context2018Conference paper (Refereed)
    Abstract [en]

    This paper presents a decision-support system for reshoring decision-making based on fuzzy logic. The construction and functionality of the decision-support system are described, and the functionality is evaluated in a high cost environment exemplified through a Swedish context. Ten different reshoring scenarios, provided by Swedish reshoring experts, are entered into the decision-support system and the decision recommendations provided by the system are presented. The confidence that can be put on the recommendations is demonstrated by comparing them with those of the reshoring experts. The positive results obtained indicate that fuzzy logic is both feasible and that the quality of the results are sufficiently good for reshoring decision-making.

  • 4.
    Hilletofth, Per
    et al.
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management. Department of Industrial Engineering and Management, University of Gävle, Sweden.
    Sequeira, Movin
    Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Three novel fuzzy logic concepts applied to reshoring decision-making2019In: Expert systems with applications, ISSN 0957-4174, E-ISSN 1873-6793, Vol. 126, p. 133-143Article in journal (Refereed)
    Abstract [en]

    This paper investigates the possibility of increasing the interpretability of fuzzy rules and reducing the complexity when designing fuzzy rules. To achieve this, three novel fuzzy logic concepts (i.e., relative linguistic labels, high-level rules and linguistic variable weights) were conceived and implemented in a fuzzy logic system for reshoring decision-making. The introduced concepts increase the interpretability of fuzzy rules and reduce the complexity when designing fuzzy rules while still providing accurate results.

  • 5.
    Resmini, Andrea
    et al.
    Jönköping University, Jönköping International Business School, JIBS, Informatics.
    Tan, He
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    #ViewFromTheOffice - Reconceptualizing the Workplace as an Information-based Ecosystem2016In: Proceedings of the 6th STS Conference on Socio-technical Ecosystems, 2016Conference paper (Refereed)
  • 6.
    Tan, He
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Johansson, Mats E.
    Saab AB, Jönköping, Sweden.
    Evaluation of an Application Ontology2017In: The Joint Ontology Workshops / [ed] Stefano Borgo, Oliver Kutz, Frank Loebe, Fabian Neuhaus, Kemo Adrian, Mihailo Antović, Valerio Basile, Martin Boeker, Diego Calvanese, Tommaso Caselli, Giorgio Colombo, Roberto Confalonieri, Laura Daniele, Jérôme Euzenat, Antony Galton, Dagmar Gromann, Maria M. Hedblom, Heinrich Herre, Inge Hinterwaldner, Andrea Janes, Ludger Jansen, Kris Krois, Antonio Lieto, Claudio Masolo, Rafael Peñaloza, Daniele Porello, Daniele P. Radicioni, Emilio M. Sanfilippo, Daniel Schober, Rossella Stufano, Amanda Vizedom, CEUR-WS , 2017, Vol. 2050Conference paper (Refereed)
    Abstract [en]

    The work presented in this paper demonstrates an evaluation procedure for a real-life application ontology, coming from the avionics domain. The focus of the evaluation has specifically been on three ontology quality features, namely usability, correctness and applicability. In the paper, the properties of the three features are explained in the context of the application domain, the methods and tools used for the evaluation of the features are presented, and the evaluation results are presented and discussed. The results indicate that the three quality features are significant in the evaluation of our application ontology, that the proposed methods and tools allow for the evaluation of the three quality features and that the inherent quality of the application ontology can be confirmed.

  • 7.
    Tan, He
    et al.
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Ismail, Muhammad
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    Johansson, Mats
    Saab Avionics Systems, Jönköping.
    Development and evaluation of a software requirements ontology2016In: SKY 2016 - 7th International Workshop on Software Knowledge, Proceedings - In conjuction with IC3K 2016 / [ed] Iaakov Exman, Juan Llorens and Anabel Fraga, SciTePress, 2016, p. 11-18Conference paper (Refereed)
    Abstract [en]

    This paper presents an ontology which has been developed to represent the requirements of a software component pertaining to an embedded system in the avionics industry. The ontology was built based on the software requirements documents and was used to support advanced methods in the subsequent stages of the software development process. In this paper it is described theprocess that was used to build the ontology. Two pertinent quality measures that were applied to the ontology, i.e. usability and applicability, are also described, as well as the methods used to evaluate the quality measures and the result of these evaluations.

  • 8.
    Tan, He
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Resmini, Andrea
    Jönköping University, Jönköping International Business School, JIBS, Informatics.
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Workplace innovation in Swedish local organizations - technology aspect: BIS 2015 International Workshops, Poznań, Poland, June 24-26, 2015, Revised Papers2015In: Business Information Systems Workshops / [ed] Witold Abramowicz, 2015, Vol. 228, p. 139-147Conference paper (Refereed)
    Abstract [en]

    Workplace innovation (WI) is important to provide betterwork opportunities and increase productivity. WI at the individual tasklevel concerns the structure of individual work tasks. A number of surveyshave been done that measured WI at the individual task level, howeverthey paid little attention to work environment, in particular to supportivetechnology. This paper presents the case study of WI in two Swedishorganisations with focus on the alignment of ICT and the individual worktasks. We carried out seven interviews of workers at dierent levels ofjob and in dierent sectors. The qualitative data analysis identied fourthemes: business processes, working roles, data sources, and technology.The analysis was facilitated by constructing BPMN (Business ProcessModel Notation) diagrams for the identied business processes. We discoveredthat the supportive technology in the organisations is adequatebut downright traditional. We argue that technology is an important factorand enabler for WI. Finally, we present an architectural model thatprovides a direction for future work on WI taking ICT as the basis.

  • 9.
    Tarasov, Vladimir
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Tan, He
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Ismail, Muhammad
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Mats, Johansson
    Saab AB, Avisonics.
    Olsson, Daniel
    AddQ AB.
    Ontology-based Software Test Case Generation (OSTAG)2015In: European Projects in Knowledge Applications and Intelligent Systems - Volume 1: EPS Lisbon 2016 / [ed] R. J. Machado, J. Sequeira,H. Plácido da Silva, & J. Filipe, SciTePress, 2015, p. 135-159Conference paper (Refereed)
    Abstract [en]

    Testing is a paramount quality assurance activity in every software developmentproject, especially for embedded, safety critical systems. During thetest process, a lot of effort is put into the generation of test cases. The presentedOSTAG project aimed at developing methods and techniques to automate thesoftware test case generation for black-box testing. The proposed approach wasbased on the creation of a software requirements ontology and the applicationof inference rules on the ontology to derive test cases. The ontology representsknowledge of the requirements, the software system and the corresponding applicationdomain while the inference rules formalize knowledge from documentsand experienced testers in the domain of test planning and test case generation.A software prototype of the approach was implemented and one of the industrialproject partners evaluated the results. An alternative method for generating testcases, based on genetic algorithms, was also explored.

  • 10.
    Tarasov, Vladimir
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Tan, He
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Ismail, Muhammad
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Johansson, Mats
    Saab AB.
    Application of inference rules to a software requirements ontology to generate software test cases2017In: OWL: Experiences and Directions – Reasoner Evaluation: 13th International Workshop, OWLED 2016, and 5th International Workshop, ORE 2016, Bologna, Italy, November 20, 2016, Revised Selected Papers / [ed] Dragoni, Mauro; Poveda-Villalón, María; Jimenez-Ruiz, Ernesto, Cham: Springer, 2017, p. 82-94Chapter in book (Refereed)
    Abstract [en]

    Testing of a software system is resource-consuming activity. One of the promising ways to improve the efficiency of the software testing process is to use ontologies for testing. This paper presents an approach to test case generation based on the use of an ontology and inference rules. The ontology represents requirements from a software requirements specification, and additional knowledge about components of the software system under development. The inference rules describe strategies for deriving test cases from the ontology. The inference rules are constructed based on the examination of the existing test documentation and acquisition of knowledge from experienced software testers. The inference rules are implemented in Prolog and applied to the ontology that is translated from OWL functional-style syntax to Prolog syntax. The first experiments with the implementation showed that it was possible to generate test cases with the same level of detail as the existing, manually produced, test cases.

  • 11. Tinney, Timothy
    et al.
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Seigerroth, Ulf
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Candell, Olov
    Safety & Security in eMaintenance: The need for integration2014In: The 3rd international workshop and congress on eMaintenance: eMaintenanceTrends in technologies & methodologies, challenges, possibilites and applications, Luleå University of Technology, 2014, p. -138Conference paper (Other academic)
    Abstract [en]

    With the advent of eMaintenance, there have been many newpossibilities and opportunities to increase the productivity ofindustrial systems, yet decrease resources and administrativecosts. To accomplish this though, it is often required to rely onsome network connectivity with the system of interest. It is thisnetwork connectivity capability that runs the risk of beinginterdicted, thereby providing a window of opportunity,commonly referred to as vulnerability, for a threat to exploit.This exploitation can occur in the form of a network securitythreat, information technology (IT) security threat, orinformation assurance and security threat. This in itself is notnecessarily new, but the applicability to eMaintenance is notwell understood. To gain a better understanding of thissignificance, there potentially needs to be a betterconceptualization of how to integrate safety and security at ananalytical level focused on the product or system designrequirements. To accomplish this, the first question that needsto be addressed is whether or not it is practical, or even useful,to pursue the idea of integrating safety and security for thesupport and protection of eMaintenance solutions? If the answerto this is yes, then what type of integration would berecommended? If the answer to the first question is no, thenwhy?There have been a number of comparisons and contrastsbetween safety and security over the last couple of decades. Inthe end though there still has not been a viable proposedconceptualization that can be utilized to integrate differentperspectives and practices in the safety and security domains.Today the most likely, although not the only, method to accountfor the integration of both domains is to conduct a safetyanalysis of a product or system of interest first and thenafterward, conduct a security analysis, or vice versa. Thismethod of development leaves much to be desired, and does notconsider the potential overlap of similarities between safety andsecurity. Nor does this method take into consideration that theinherent differences between the safety and security domainsare significant to the preservation of the original analyticalstrengths of both domains.Besides addressing the question of the practicality andusefulness of integrating safety and security, this paper will alsoaddress past research and noteworthy projects that havepreviously attempted this endeavour. Some general safety andsecurity aspects of eMaintenance will also be addressed.

1 - 11 of 11
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