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  • 1.
    Bengtsson, Magnus
    et al.
    University of Borås, Faculty of Textiles, Engineering and Business.
    Waidringer, Jonas
    University of Borås, Faculty of Textiles, Engineering and Business.
    A proposed method using GPU based SDO to optimize retail warehouses2022Conference paper (Refereed)
    Abstract [en]

    Research in warehouse optimization has gotten increased attention in the last few years due to e-commerce. The warehouse contains a waste range of different products. Due to the nature of the individual order, it is challenging to plan the picking list to optimize the material flow in the process. There are also challenges in minimizing costs and increasing production capacity, and this complexity can be defined as a multidisciplinary optimization problem with an IDF nature. In recent years the use of parallel computing using GPGPUs has become increasingly popular due to the introduction of CUDA C and accompanying applications in, e.g., Python. 

    In the case study at the company in the field of retail, a case study including a system design optimization (SDO) resulted in an increase in throughput with well over 20% just by clustering different categories and suggesting in which sequence the orders should be picked during a given time frame. 

    The options provided by implementing a distributed high-performance computing network based on GPUs for subsystem optimization have shown to be fruitful in developing a functioning SDO for warehouse optimization. The toolchain can be used for designing new warehouses or evaluating and tuning existing ones. 

  • 2.
    Andersson, Matts
    et al.
    Department for Transport Science, KTH Royal Institute of Technology, Stockholm, Sweden.
    Berglund, Moa
    WSP Analysis & Strategy, Sweden, Box 13033, 402 51 Göteborg, Sweden.
    Flodén, Jonas
    Department of Business Administration, School of Business, Economics and Law, University of Gothenburg, Box 610, 405 30 Gothenburg, Sweden.
    Persson, Christer
    Division of System Analysis and Econometrics (SEC), KTH Royal Institute of Technology, Teknikringen 72, 4th Floor, 100 44 Stockholm, Sweden.
    Waidringer, Jonas
    University of Borås, Faculty of Textiles, Engineering and Business. Centre for Complexity, Operations and Logistics Management, Lund, Sweden.
    A method for measuring and valuing transport time variability in logistics and cost benefit analysis2017In: Research in Transportation Economics, ISSN 0739-8859, E-ISSN 1875-7979, Vol. 66, p. 59-69Article in journal (Refereed)
    Abstract [en]

    The freight transport system is subject to delays and disturbances, which influence investment and planning decisions made by governments and infrastructure authorities. Traditionally relying on Cost Benefit Analysis (CBA) they are dependent on correct and up-to-date input data. So far, little success has been reached in estimating the effects of disturbances for freight. This paper aims to contribute to the understanding of disturbances in freight transport by reviewing and classifying the effects occurring due to transport time variability (TTV) and to suggest a calculation model to estimate the value of transport time variability (VTTV). In order to validate the model and its usability it was successfully tested in a case study for a large Swedish retail company. The effects of delays can be divided into four main types: System Killers, Catastrophic Events, Expected Risks, and Contingencies, of which the last two are relevant for VTTV. The model applies these in a two-step cost function with a fixed and variable part, building on previous studies of VTVV for passenger transport based on the scheduling utility approach. A main theoretical result is that the estimation of VTTV is derived mathematically independently of which measure that is chosen for the quantification of TTV.

  • 3.
    Andersson, Matts
    et al.
    WSP.
    Berglund, Moa
    WSP.
    Flodén, Jonas
    Göteborg University.
    Persson, Christer
    Royal Institute of Technology.
    Waidringer, Jonas
    Chalmers.
    A method for measuring and valuing transport time variability in logistics and cost benefit analysis2017In: Research in Transport Economics, ElsevierArticle in journal (Refereed)
    Abstract [en]

    The freight transport system is subject to delays and disturbances, which influence investment and planning decisions made by governments and infrastructure authorities. Traditionally relying on Cost Benefit Analysis (CBA) they are dependent on correct and up-to-date input data. So far, little success has been reached in estimating the effects of disturbances for freight.

    This paper aims to contribute to the understanding of disturbances in freight transport by reviewing and classifying the effects occurring due to transport time variability (TTV) and to suggest a calculation model to estimate the value of transport time variability (VTTV). In order to validate the model and its usability it was successfully tested in a case study for a large Swedish retail company.

    The effects of delays can be divided into four main types: System Killers, Catastrophic Events, Expected Risks, and Contingencies, of which the last two are relevant for VTTV. The model applies these in a two-step cost function with a fixed and variable part, building on previous studies of VTVV for passenger transport based on the scheduling utility approach. A main theoretical result is that the estimation of VTTV is derived mathematically independently of which measure that is chosen for the quantification of TTV.

  • 4.
    Abbasi, Maisam
    et al.
    Lund University.
    Nilsson, Fredrik
    Lund University.
    Waidringer, Jonas
    Chalmers.
    Outlook of Complexity and Complication on Logistics and Supply Chain Management2009In: NOFOMA 2009, Jönköping Sweden: Nofoma , 2009Conference paper (Refereed)
  • 5.
    Moen, Olof
    et al.
    Göteborg University.
    Algers, Bo
    SLU.
    Waidringer, Jonas
    Chalmers.
    Planning, operations and control to assure good animal welfare in transportation to slaughter – application of modern logistics in EU2009Conference paper (Refereed)
  • 6.
    Wiberg, Sofia
    et al.
    SLU.
    Algers, Anne
    SLU.
    Algers, Bo
    SLU.
    Franzén, Ulrika
    WSP.
    Lindencrona, Magnus
    Moen, Olof
    Göteborg University.
    Ohnell, Sofia
    Chalmers.
    Waidringer, Jonas
    Chalmers.
    Logistics at transport to slaughter. Food and environment – optimised animal transport2007Conference paper (Refereed)
  • 7.
    Persson, Pehr-Ola
    et al.
    Chalmers.
    Waidringer, Jonas
    Chalmers.
    Foliated Transportation Networks2006Conference paper (Refereed)
  • 8.
    Nilsson, Fredrik
    et al.
    Lund University.
    Waidringer, Jonas
    University of Borås, Faculty of Textiles, Engineering and Business. Chalmers.
    Towards Adaptive Logistics Management2005Conference paper (Refereed)
  • 9.
    Nilsson, Fredrik
    et al.
    Lund University.
    Waidringer, Jonas
    Chalmers.
    Logistics management from a complexity perspective2004In: The ICFAI Journal of Operations Management, Vol. 3, no 2, p. 59-73Article in journal (Refereed)
  • 10.
    Persson, Pehr-Ola
    et al.
    Chalmers.
    Waidringer, Jonas
    Chalmers.
    A comparitive study of traditional and e-bookstores, working paper2001Report (Refereed)
  • 11.
    Waidringer, Jonas
    Chalmers.
    A conceptual approach to complexity in logistics2001Conference paper (Refereed)
  • 12.
    Waidringer, Jonas
    Chalmers.
    Complexity in transportation and logistics systems: A conceptual approach to modelling and analysis2001Doctoral thesis, monograph (Other academic)
    Abstract [en]

    The basis for the thesis is to assess the usefulness of describing and analysing transportation and logistics systems as being complex systems. The reason and assumption being that in the future more integrated and sophisticated systems and solutions will be demanded. The requirements of the future will also be the requirements of a sustainable society and this also requires higher sophistication in that industry and consumers demand faster and cheaper solutions, but with less environmental impact. The ultimate goal is to use complexity to meet the demand for more sophisticated approaches, models and methods both to better understand these systems and to be able to manage and control them in the most efficient way. In this thesis the concept of complexity is applied to the context of transportation and logistics system in order to better understand the characteristics of these systems. It is an unorthodox method within the research area of transportation and logistics, but it is argued that the concept of complexity provides a valid and valuable model for the analysis of transportation and logistics systems. Complexity is throughout the thesis treated as an important aspect of transportation and logistics systems, and is as a concept used to describe, analyse and model transportation and logistics systems and their properties. The concept of complexity as well as other related concepts are analysed and a conceptual model of transportation and logistics systems' complexity is developed. This model describes the complexity of transportation and logistics systems as residing primarily within three core properties: the network, the process and the stakeholder properties. These properties in their turn are influenced by other extended properties such as variety, connectivity, cognition etc. Three different perspectives; the network, the process and the stakeholder perspectives are used to describe and analyse the transportation and logistics systems. The network perspective focuses primarily on the structure of the transportation and logistics systems, while the process perspective focuses on the activities and dynamics and the stakeholder perspective focuses on the perceptions, represented by the different stakeholders. Four empirical studies are used as a base for the analysis and these four studies are representative for four different aspects of transportation and logistics systems; terminals, supply chains, distribution channels and the transportation of passengers. A measure of transportation and logistics' systems complexity is also develop and applied to these different systems. These studies provide an empirical basis for the research problem studied as well as a validation of the usefulness of the conceptual model of complexity and the proposed measure.

  • 13.
    Franzén, Stig. E.R
    et al.
    Chalmers.
    Waidringer, Jonas
    Chalmers.
    Complexity of Goods and Passenger Transport Services2001Conference paper (Refereed)
  • 14.
    Brehmer, Per-Olof
    et al.
    Linköping University.
    Sjöstedt, Lars
    Chalmers.
    Waidringer, Jonas
    Chalmers.
    Measuring performance in supply chains2001In: World transport research : selected proceedings of the 9th World Conference on Transport Research, 22-27 July 2001, Seoul, Korea, 2001Conference paper (Refereed)
  • 15.
    Sjöstedt, Lars
    et al.
    Chalmers.
    Brehmer, Per-Olof
    Linköping University.
    Waidringer, Jonas
    Chalmers.
    Performance indicators in supply chains. A conceptual approach2001Conference paper (Refereed)
  • 16.
    Waidringer, Jonas
    Chalmers University of Technology.
    Port logistics from a network perspective; A generic model for port terminal optimisation1999Licentiate thesis, monograph (Other academic)
  • 17.
    Waidringer, Jonas
    et al.
    Chalmers.
    Andersson, Stig. I.
    Cecil Rand.
    Optimisation of port logistic operations1998Conference paper (Refereed)
  • 18.
    Lumsden, Kenth
    et al.
    Chalmers.
    Hulthén, Lars. A. R.
    Chalmers.
    Waidringer, Jonas
    Chalmers.
    Outline for a Conceptual Framework on Complexity in Logistic Systems1998In: / [ed] Bask, A.H. and Vespäläinen, A.P.J., Helsinki, Finland: Finnish Association of Logistics , 1998Conference paper (Refereed)
  • 19.
    Waidringer, Jonas
    et al.
    University of Borås, Faculty of Textiles, Engineering and Business. Chalmers.
    Lumsden, Kenth
    Chalmers.
    Simulation and optimisation of Port terminals, using a network concept1998Conference paper (Refereed)
  • 20.
    Waidringer, Jonas
    Chalmers.
    A parametric network model for a port terminal optimisation and simulation, NeuComb/Port1997Conference paper (Refereed)
  • 21.
    Waidringer, Jonas
    Chalmers.
    Modelling a Port terminal from a Network perspective1997Conference paper (Refereed)
  • 22.
    Waidringer, Jonas
    et al.
    Chalmers.
    Andersson, Stig. I.
    CECIL Rand AB.
    Jansen, Karl
    CECIL Rand AB.
    Optimisation of a generic multi-node transportation and inforamtion network1997In: Information Systems in Logistics and Transportation, London: Pergamon , 1997Chapter in book (Refereed)
  • 23.
    Waidringer, Jonas
    et al.
    Chalmers.
    Andersson, Stig. I.
    CECIL Rand.
    Optimised Network Logistics, Objective Measures for Robustness of Central Functions in Society1997Conference paper (Other academic)
1 - 23 of 23
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