PERIMETROSPERSONAL & ACADEMIC WEBSITE
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ABOUT

PERSONAL DETAILS
Gronausestraat 833, 7534 AC, Enschede
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sebastian@perimetros.nl
+31(0)646337991
Welcome to my personal and academic website! Available as freelance

BIO

ABOUT ME

As a curious and entrepreneurial supply chain professional, I am fascinated by the dynamics of international supply chains. I like to solve complex, interdisciplinary (re-)design problems by applying innovative methods and technologies. At the University of Twente, I am currently leading research projects in the position of principal researcher. My professional goal is to build bridges between science and supply chains and help companies become smarter and more competitive.
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RESUME

ACADEMIC POSITIONS
  • Present
    2018
    ENSCHEDE, THE NETHERLANDS

    RESEARCHER

    UNIVERSITY OF TWENTE

    Principal researcher in the TKI DINALOG project Autonomous Logistics Miners for Small- & Medium-sized Businesses. Conducting industrial research in a multi-disciplinary project focusing on multi-agent systems, data mining and intelligence amplification in the logistics industry. Leading consortium meetings and collaboration with industry partners (Albert Heijn, CAPE Groep, Deltago and Kien Logistics Management).
  • Present
    2018
    ENSCHEDE, THE NETHERLANDS

    LECTURER

    UNIVERSITY OF TWENTE

    Lecturer in the Bachelor course Business Intelligence & IT. Teaching assistant in the Master courses Enterprise Architecture and Architecture of Information Systems. Daily supervision of Bachelor and Master students.
  • 2015
    2015
    ENSCHEDE, THE NETHERLANDS

    LECTURER

    SAXION UNIVERSITY OF APPLIED SCIENCES

    Design, development and coordination of the course information technology within the Bachelor program Industrial Engineering and Management. Development of course manuals, lesson plans, tutorials and assessments. Teaching and supervision of Bachelor students. Training lecturers to teach the course.
  • 2014
    2012
    BREDA, THE NETHERLANDS

    GUEST LECTURER

    BREDA UNIVERSITY OF APPLIED SCIENCES

    Teaching in the Minor control towers of the Bachelor program Logistics Engineering.
INDUSTRY POSITIONS
  • 2019
    Present
    ALMELO, THE NETHERLANDS

    MANAGER LOGISTIC ASSOCIATION

    PORT OF TWENTE

    Connecting 80+ members the regional logistics community in the Twente region. Organization of knowledge events, networking sessions and develop a development agenda. Increase the visibility of Port of Twente via social media and news channels.
  • 2014
    2018
    ENSCHEDE, THE NETHERLANDS

    CHANNEL DEVELOPMENT MANAGER

    EMAGIZ

    Development and implementation of the commercial strategy and annual plan. Leadership and development of the commercial organization. Acquisition of new partners and customers in focus verticals. Visiting (prospective) customers for new projects, presentations and demos. Implementing development plans for strategic partners and key accounts. Collaborate with project organizations to facilitate project kick-offs and success delivery.
  • 2014
    2016
    ENSCHEDE, THE NETHERLANDS

    BUSINESS DEVELOPMENT MANAGER

    CAPE GROEP

    Analyzing and transforming market-/business developments into customer value. Outside-in development of new propositions and business models. Organize knowledge- and inspiration sessions for cross-, up- and deep selling. Development of a (online) sales funnel for lead generation. Collaborate with sales to explore new propositions and develop new business concepts. Provide in-depth support for sales to launch new concepts. Provide in-depth support for line managers for the implementation of new concepts.
  • 2011
    2014
    ENSCHEDE, THE NETHERLANDS

    CHIEF MARKETING OFFICER - CMO

    CAPE GROEP

    Development and implementation of the marketing strategy for CAPE Groep B.V. and annual / quarterly plans. Development and implementation of the channel strategy for eMagiz B.V. and annual / quarterly plans. Implementation of inbound marketing tools. Event management and marketing. Organization and coordination of campaigns for business development / social media marketing
  • 2010
    2011
    ENSCHEDE, THE NETHERLANDS

    MARKETING & HR EMPLOYEE

    CAPE GROEP

    Website and content development. Campaign development and execution. Web 2.0 implementation. Social Media Marketing and press releases. Coaching of line management. Recruitment of consultants and developers. Further standardization of HR instruments.
  • 2009
    2010
    HENGELO, THE NETHERLANDS

    BUSINESS EXCELLENCE EMPLOYEE

    SIEMENS

    Optimizing of the supply chain order processes for spare parts. Internal process analysis (fit gap) with stakeholders. Data analytics on sales, purchasing and production data from SAP R/3. Organizing workshops for process optimization with stakeholders. Process optimization based on Lean Manufacturing.
  • 2008
    2009
    ENSCHEDE, THE NETHERLANDS

    CONSULTANT HRM

    CAPE GROEP

    Implementation of HR on operational, tactical and strategic level. Professionalizing the HR administration, policies and strategy. Development and implementation of 15 practical HR instruments for line managers. Recruitment of consultants and developers.
  • 2007
    2008
    EIBERGEN, THE NETHERLANDS

    PROJECT MANAGER

    ROTOR

    Setting up an Innovation Center. Internal process analysis (fit gap) with stakeholders. Defining and managing innovation projects. Creating an organizational model. Recruitment of graduate students and trainees. Establishing and managing external relations.
EDUCATION
  • Present
    2018
    ENSCHEDE, THE NETHERLANDS

    PROFESSIONAL DOCTORATE IN ENGINEERING - PDEng

    UNIVERSITY OF TWENTE

    Fulltime Post-graduate program of 60 ECTS with a strong focus on technology development and -management, design methodology and systems engineering.
  • 2017
    2014
    OSNABRÜCK / MÜNSTER, GERMANY

    MASTER IN SUPPLY CHAIN MANAGEMENT - MSCM

    OSNABRÜCK & MÜNSTER UNIVERSITY OF APPLIED SCIENCES

    Parttime Master program of 120 ECTS offered by EMOTIS, a collaboration between the Universities of Applied Sciences of Osnabrück, Münster and Enschede.
  • 2017
    2014
    ENSCHEDE, THE NETHERLANDS

    MASTER IN BUSINESS ADMINISTRATION - MBA

    SAXION UNIVERSITY OF APPLIED SCIENCES

    Parttime Master program of 120 ECTS offered by EMOTIS, a collaboration between the Universities of Applied Sciences of Osnabrück, Münster and Enschede.
  • 2011
    2009
    ENSCHEDE, THE NETHERLANDS

    BACHELOR IN BUSINESS ENGINEERING - Ing.

    SAXION UNIVERSITY OF APPLIED SCIENCES

    Part-time Bachelor program of 180 ECTS.
  • 2007
    2003
    DEVENTER, THE NETHERLANDS

    BACHELOR IN HUMAN RESOURCE MANAGEMENT - BHRM

    SAXION UNIVERSITY OF APPLIED SCIENCES

    Fulltime Bachelor program of 240 ECTS.
HONORS AND AWARDS
  • 2014
    THE NETHERLANDS

    SME INNOVATION AWARD

    CHAMBER OF COMMERCE, MERCEDES-BENZ & NRC MEDIA

  • 2012
    ROTTERDAM, THE NETHERLANDS

    WINNER MOBILE APP CHALLENGE

    MENDIX

  • 2009
    ENSCHEDE, THE NETHERLANDS

    CERTIFICATE OF EXCELLENCE

    SAXION UNIVERSITY OF APPLIED SCIENCES

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PUBLICATIONS

PUBLICATIONS LIST
09 Jul 2021

A Classification of Process Mining Bottleneck Analysis Techniques for Operational Support

ONLINE

Proceedings of the 18th International Conference on e-Business - ICE-B

Conferences Bemthuis, R.H.; van Slooten, N.; Arachchige, J.J.; Piest, J.P.S. and Bukhsh, F.A.

A Classification of Process Mining Bottleneck Analysis Techniques for Operational Support

Bemthuis, R.H.; van Slooten, N.; Arachchige, J.J.; Piest, J.P.S. and Bukhsh, F.A.
Conferences
About The Publication
A bottleneck usually is a sub-process in the main process which delays the process. The performance of a process can be increased by eliminating the bottlenecks. To this end, opportunities to analyze and mitigate bottlenecks by using process mining techniques can be an interesting direction to utilize. This paper aims to classify literature on process mining bottleneck analysis techniques and propose a model for operational support regarding bottleneck analysis utilizing process mining. To this end, we first propose a model for classifying bottleneck analysis techniques. Then, we conduct a systematic literature review to identify existing papers that address bottleneck analysis by utilizing process mining techniques. The results indicate that many researchers are focusing on detecting bottlenecks, while limited attention is paid to predicting bottlenecks or recommending actions on what to do with bottlenecks. The proposed classification model is validated through a demonstration, showing how process mining bottleneck analysis techniques can be applied to a logistics case study.
28 Apr 2021

Evaluating the use of the open trip model for process mining: An informal conceptual mapping study in logistics

ONLINE

In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-509-8 ISSN 2184-4992, pages 290-296

Conferences Piest J.P.S., Cutinha J.A., Bemthuis R.H., Bukhsh F.A.

Evaluating the use of the open trip model for process mining: An informal conceptual mapping study in logistics

Piest J.P.S., Cutinha J.A., Bemthuis R.H., Bukhsh F.A.
Conferences
About The Publication
When aggregating logistic event data from different supply chain actors and information systems for process mining, interoperability, data loss, and data quality are common challenges. This position paper proposes and evaluates the use of the Open Trip Model (OTM) for process mining. Inspired by the current industrial use of the OTM for reporting and business intelligence, we believe that the data model of OTM can be utilized for unified storage, integration, interoperability, and querying of logistic event data. Therefore, the OTM data model is mapped to a generic event log structure to satisfy the minimum requirements for process mining. A demonstrative scenario is used to show how event data can be extracted from the OTM’s default scenario dataset to create an event log as the starting point for process mining. Thus, this approach provides a foundation for future research about interoperability challenges and unifying process mining models based on industry standards, and a starting point for developing process mining applications in the logistics industry.
17 Nov 2020

Smarter interoperability based on automatic schema matching and intelligence amplification

TARBES - FRANCE (ONLINE)

10th International Conference on Interoperability for Enterprise Systems and Applications, I-ESA 2020: Interoperability in the era of artificial intelligence

Conferences Piest J.P.S., Meertens L.O., Buis J., Iacob M.E., van Sinderen M.J.

Smarter interoperability based on automatic schema matching and intelligence amplification

Piest J.P.S., Meertens L.O., Buis J., Iacob M.E., van Sinderen M.J.
Conferences
About The Publication
The process of connecting enterprise systems and applications to digital platforms and ecosystems requires interoperability on different levels and eventually leads to the task of creating a schema mapping. At present, this task is carried out manually and prior research has proven this task difficult to automate. In this paper, we discuss the suitability of machine learning approaches to create an auto-mapping functionality, so different schemas and standards can (partially) be mapped automatically, and incorporate a symbiotic approach to improve the matching result. To the best of our knowledge, this is a new approach with potential to reduce the time needed for schema matching tasks. The main contribution of this paper is a reference architecture and prototype for smarter interoperability using a combination of automatic schema matching, based on machine learning, and intelligence amplification.
17 Nov 2020

A federated interoperability approach for data driven logistic support in SMEs

TARBES - FRANCE (ONLINE)

10th International Conference on Interoperability for Enterprise Systems and Applications, I-ESA 2020: Interoperability in the era of artificial intelligence

Conferences Piest J.P.S., van Sinderen M.J., Iacob M.E.

A federated interoperability approach for data driven logistic support in SMEs

Piest J.P.S., van Sinderen M.J., Iacob M.E.
Conferences
About The Publication
Small and Medium-sized Enterprises (SMEs) in logistics experience practical barriers when trying to use, exchange, share, and exploit real-time data in their operational processes. Such barriers include the abundance of proprietary data formats and schemes, the cost of implementing standards, the lack of trust among partners, the lack of IT expertise, and the uncertainty about benefits and return on investments. This position paper introduces the goal and proposed approach of a recently started research project that aims at lowering these barriers. The core proposition revolves around the application of a federated approach based on the concepts of the International Data Space (IDS). In this paper we present a high level architecture underlying this goal and approach. Two main components of the architecture are discussed in more detail: (1) a connector store, offering connectors to realize data exchange between heterogeneous ICT environments, and (2) an interoperability simulator, to explore collaboration opportunities prior to implementation.
05 Oct 2020

Demonstrating the Architecture for Situation-aware Logistics using Smart Returnable Assets

EINDHOVEN - THE NETHERLANDS (ONLINE)

2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW)

ConferencesDemonstrations Piest J.P.S. (speaker), Bemthuis R.H. and Charismadiptya G.

Demonstrating the Architecture for Situation-aware Logistics using Smart Returnable Assets

Piest J.P.S. (speaker), Bemthuis R.H. and Charismadiptya G.
ConferencesDemonstrations
About The Publication
Building on earlier work, this paper aims to demonstrate and discuss an instantiated architecture for situation-aware logistics in an operational environment using smart returnable assets. The demonstration is based on a motivation scenario focusing on exception management. The system outline and its components, interfaces, and enabling technologies are described and linked to the different layers of the architecture. This paper documents and illustrates the use of the system with detailed models and screenshots. Earlier work is extended using business rules to identify and quantify exceptions and potential disruptions. Specifically, it is shown how shipment data are enhanced with data from IoT sensors of smart returnable assets to provide situation-aware decision support based on data analytical methods. This demonstration provides scholars and practitioners, active in the fields of enterprise computing, insights into the concepts, models and engineering technologies used to implement an architecture for situation-aware logistics. The instantiated architecture provides a rich testbed for experiments, measurements, and incorporate the ideas promoted by the international data space initiative. An online recording is available to support the demonstration and ignite discussion about the potential of IoT technologies and future research directions in pursuit of the smart logistics vision.
05 Oct 2020

Assessing Resilience in Enterprise Architecture: A Systematic Review

EINDHOVEN - THE NETHERLANDS (ONLINE)

2020 IEEE 24th International Enterprise Distributed Object Computing Conference (EDOC)

Conferences Aldea A.I., Vaicekauskaitė E., Daneva M. and Piest J.P.S.

Assessing Resilience in Enterprise Architecture: A Systematic Review

Aldea A.I., Vaicekauskaitė E., Daneva M. and Piest J.P.S.
Conferences
About The Publication
This review paper aims to explore state-of-the-art research and scientific literature about Enterprise Architecture (EA) resilience. Based on a systematic literature review, 850 articles have been subjected to evaluation for relevance. Based on the findings in 58 selected papers, we conclude that the field of EA resilience is still in its infancy. We identified several definitions and classified six types of resilience measures, based on information type (qualitative/quantitative), the source of the disruption (internal/external), and the duration of the resilience (short-term/long-term). Based on the review, we found 19 metrics that are candidates for EA practitioners to consider for the design of measurement and assessment methods for EA resilience. In addition, we identified relevant research from Information Systems sub-domains and other sciences that can be incorporated to create a holistic view on EA resilience. Based on published definitions of resilience in the selected papers, we propose a definition of the concept of EA resilience. This definition is validated using expert opinion and creates a starting point for reasoning about EA resilience and future research.
09 Sep 2020

Public final report: Autonomous Logistics Miners for Small and Medium-sized Businesses

DEN HAAG - THE NETHERLANDS (ONLINE)

Topsector Logistiek Congres 2020 - Online Congres, Den Haag, Netherlands Duration: 9 Sep 2020 → 11 Sep 2020

Report Piest, J. P. S., Iacob, M. E.

Public final report: Autonomous Logistics Miners for Small and Medium-sized Businesses

Piest, J. P. S., Iacob, M. E.
Report
About The Publication
This is the public final report (in Dutch) of the Autonomous Logistics Miners for Small & Mediumsized Businesses project, a 2-year research project conducted within the Logistics Top Sector on based on the TKI Toeslag Call. This project contributes to strengthening the competitive position of SMEs by investigating the use of smart data mining agents in logistics processes and helping professionals make data-driven decisions and automate routine tasks. This way smart data mining agents help SMEs respond quickly to disruptive events, such as delays and changing trends in supply and demand, and provide insights into performance and efficiency.
05 Aug 2020

The logistics data sharing infrastructure

ONLINE

Commissioned by TKI Dinalog

Whitepaper Bastiaansen H.J.M., Zomer G., Piest J.P.S., van Sinderen M.J., Dalmolen S., Hofman W.J.

The logistics data sharing infrastructure

Bastiaansen H.J.M., Zomer G., Piest J.P.S., van Sinderen M.J., Dalmolen S., Hofman W.J.
Whitepaper
About The Publication
The goal of this white paper is to provide guidance to the Topsector Logistics implementation program on the data sharing infrastructure as part of the priority theme ‘data driven logistics’, by:
  • describing the current developments in data sharing policy making and data sharing architectures,
  • identifying a structure and portfolio of key data sharing functions to be realized as generic, re-usable, services (building blocks), based on a representative set of use cases for the three application areas, and
  • providing a development roadmap as input for the implementation program.
This white paper may help logistics policy makers in defining innovation activities, the logistics sector in its quest to stay competitive and become more sustainable and logistics organizations to position themselves in the digital transformation towards the data driven ecosystem This white paper originates in the DL4LD research project. It is the result of a collaboration effort between TNO, DL4LD project partners, the University of Twente, with active involvement of TKI Dinalog. Principal researchers have contributed from the DL4LD, the CLiCKS and the ICCOS projects.
19 Apr 2020

Double stitching the triple helix: Connecting Logistics Hotspots and Regional Logistics Ecosystems to the Dutch Topsector Logistics 2050 ambition and 2020-2023 action agenda

ENSCHEDE

Research and position paper written for the PDEng course Technology Development and Management for Port of Twente

Report Piest, J.P.S.

Double stitching the triple helix: Connecting Logistics Hotspots and Regional Logistics Ecosystems to the Dutch Topsector Logistics 2050 ambition and 2020-2023 action agenda

Piest, J.P.S.
Report
About The Publication
Purpose – The purpose of this research paper is 1) to analyze Logistics Hotspots and Regional Logistics Ecosystems in the Netherlands and 2) investigate how the Logistics Hotspot Port of Twente can double stitch the triple helix approach to 2a) develop its Regional Logistics Ecosystem and 2b) align its business plan with the 2050 ambition and the action agenda for 2020-2023 of the Dutch Topsector Logistics. Design/methodology/approach – The methodological approach undertaken in this study is based on a literature review, desk research, data from the annual rankings of Dutch Logistics Hotspots, the framework for Regional Logistics Ecosystems, interviews with 12 board members and 33 members of Port of Twente and design workshops with 25 community members of Port of Twente. Results/findings – Contrasting the extensive literature about business ecosystems, little scientific literature is available about Logistics Hotspots and Regional Logistics Ecosystems. Based on available data from the annual rankings of 28 Logistics Hotspots in the Netherlands, 27 Regional Logistics Ecosystems are identified, analyzed and classified as business-, innovation-, entrepreneurial- and/or knowledge ecosystem. More specific, Port of Twente is analyzed based on the framework for Regional Logistics Ecosystems and action agenda for 2020-2023 of the Topsector Logistics. The insights are embedded in the business development plan of Port of Twente and a technology roadmap is created based on the clustering of 17 innovation projects as a starting point to establish a learning community. Research limitations/implications – The desk research is based on published rankings and available materials from websites. Due to the absence of public available research data and practical constraints, the classification of ecosystems is based on 4 main types of ecosystems. Further empirical research can be conducted based on the theoretical framework of Scaringella and Radziwon to map the logistics innovation system in the Netherlands. Practical implications – The business development plan and technology roadmap provides Port of Twente a starting point for further development. In a broader sense, the results of this study provide important insights, recommendations and guidance to connect Logistics Hotspots and Regional Logistics Ecosystems to the Topsector Logistics 2050 ambition and action agenda for 2020-2023. Originality/value – The study contributes to better understanding of Logistics Hotspots and Regional Logistics Ecosystems in the Netherlands. The work presented here provides one of the first investigations about the alignment of the Dutch Topsector Logistics 2050 ambition and action agenda for 2020-2023 with Logistics Hotspots and Regional Logistics Ecosystems utilizing insights from both science and industry. The contents of this work are considered valuable for policy makers, logistics entrepreneurs, researchers active in triple helix projects and professionals responsible for strategy and technology development in Logistics Hotspots and Regional Logistics Ecosystems.
21 Nov 2019

An Architecture for Situation-Aware Smart Logistics

PARIS - FRANCE

2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW), Paris, France, 2019, pp. 108-117

Conferences Iacob M.E., Charismadiptya G., van Sinderen M.J. and Piest J.P.S.

An Architecture for Situation-Aware Smart Logistics

Iacob M.E., Charismadiptya G., van Sinderen M.J. and Piest J.P.S.
Conferences
About The Publication
Disruptions and exceptions are an important source of risks in logistics, as far as the planning of transportation services is concerned. Failing to rapidly react on and handle such events may lead to serious depreciation of the transported cargo and reputation damage. The Internet of Things seems to be the technology capable of providing the tools required to detect exceptions nearly real-time. However, currently, there is little research on how to enhance the detected exceptions with related information from internal or external sources. Furthermore, most exception detection capabilities rely on experience and not much research exist on how to improve the accuracy of using third-party knowledge. In this paper, we propose a reference architecture for situation-aware logistics. The architecture specification follows the key principles derived from an extensive requirements analysis, the state of the art literature, and the ideas promoted by the Industrial Data Space initiative. The proposed architecture has been instantiated and tested by means of a prototype designed for the case of temperature-controlled transportation services.
18 Nov 2019

A Platform Architecture for Industry 4.0 Driven Intelligence Amplification in Logistics

PARIS - FRANCE

2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW), Paris, France, 2019, pp. 174-178.

Conferences Piest, J.P.S.

A Platform Architecture for Industry 4.0 Driven Intelligence Amplification in Logistics

Piest, J.P.S.
Conferences
About The Publication
The aim of this doctoral consortium paper is to introduce my doctoral research proposal in the field of enterprise computing. The scientific problem that I address in my research is the limited usage of real-time data, originating from Industry 4.0 (I4.0) technologies (e.g. smart IoT devices and sensors), by Small-and Medium sized Enterprises (SMEs) in the logistics industry. I argue that the development of an industry platform for real-time data streaming and analytics would allow SMEs to benefit from such data and help them streamline their operational processes and overall performance. The main contribution of my research is a reference architecture for such a platform, geared for the needs of SMEs, and incorporating: 1) a logistics canonical data model to collect and harmonize I4.0 data, 2) an automatic schema matcher to map SME data to the logistics canonical data model, 3) autonomous data mining agents, 4) an adoption strategy based on the concept of intelligence amplification and 5) key performance indicators to measure adoption effects on operational and decisional performance.
18 Oct 2016

An Architecture and Common Data Model for Open Data-Based Cargo-Tracking in Synchromodal Logistics

RHODES - GREECE

In: Debruyne C. et al. (eds) On the Move to Meaningful Internet Systems: OTM 2016 Conferences. OTM 2016. Lecture Notes in Computer Science, vol 10033. Springer, Cham.

Conferences Bol Raap W., Iacob M.E., van Sinderen M.J., Piest J.P.S.

An Architecture and Common Data Model for Open Data-Based Cargo-Tracking in Synchromodal Logistics

Bol Raap W., Iacob M.E., van Sinderen M.J., Piest J.P.S.
Conferences
About The Publication
In logistics, questions as “Where is my container?” and “When does my container arrive?” can often not be answered with sufficient precision, which restricts the ability of logistics service providers to be efficient. Since logistics is complex and often involves multiple transportation modes and carriers, improving efficiency and saving costs in the supply chain requires communication between the different parties and the usage of real-time data is critical. Currently, logistics service providers (LSPs) use real-time data to a very limited extent, mainly for tracking the progress of a specific part of a given shipment. This data is retrieved manually from a number of websites and sharing with other actors is not even considered. This leads to lack of end-to end visibility and delays in planning. This research proposes an architecture and a common data model for an integration platform that allows the automated collection of real time container tracking data enabling LSPs to plan more efficient. Currently, there is no common data model available that contains all the information required and enables LSPs to track their shipments real-time. The common data model is designed via a bottom-up approach using results of interviews, observations at different logistics service providers, analyses of open data on websites, and serves the information needs of the business processes involving such data. The model is also validated against industry standards. Based on the proposed architecture a prototype was built that is tested in real operating conditions with a fourth party logistics company.
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RESEARCH PROJECTS

RESEARCH PROJECTS

INDUSTRY 4.0 DRIVEN SUPPLY CHAIN COORDINATION FOR SMES

DESCRIPTION OF THE PROJECT

This research project aims at improving the competitiveness of the Dutch logistics sector by increasing the adoption and usage of industry 4.0 related technologies by small- and medium sized enterprises in combination with advanced real-time data analytics.

IDS CONNECTOR STORE AND INTEROPERABILITY SIMULATOR FOR SMES

DESCRIPTION OF THE PROJECT

This project develops the Logistics Data Space (LDS) for small- and medium sized enterprises, which allows logistics companies to participate in digital ecosystems for efficient collaboration and new services. LDS consists of a Connector Store, offering connectors to realize data exchange between heterogeneous ICT environments, and an Interoperability Simulator, to explore collaboration opportunities prior to implementation.

AUTONOMOUS LOGISTICS MINERS FOR SMES

DESCRIPTION OF THE PROJECT

This research project aims to increase the competitive power of the Dutch logistics sector, by providing small- and medium sized enterprises with intelligent data mining agents, that can perform the most common data mining functions, and require minimal supervision and domain knowledge from the human employee.

SYNCHROMODAL IT

DESCRIPTION OF THE PROJECT

The main objective of this project is to facilitate efficient, reliable, and sustainable logistics services and to strengthen the Dutch logistics sector through the design of a synchromodal logistics network model and integrated service platform and the development of related planning and scheduling policies, and of decision support through serious gaming.
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CONTACT

Drop me a line