[Logprofs] Special Issue in Computers and Industrial Engineering: Beyond Optimization?

[Glock, Christoph]

Special Issue in Computers and Industrial Engineering

Beyond Optimization? Empirically Grounded Analytics for Manufacturing and Logistics Systems

Guest Editors:
Christoph Glock, Institute of Production and Supply Chain Management, Technical University of Darmstadt, Germany
Anne Lange, Frankfurt University of Applied Sciences, Germany
Frank Meisel, Institute for Business Management, Kiel University, Germany

Aims and Scope
The analysis and optimization of manufacturing and logistics processes has been an active field of academic research in the past that generated important insights for theory and management practice. However, the evolution of automation, digitalization and human-technology interaction renders reality more complex and thus gives rise to the question if practical challenges and requirements continue to be adequately included in analytical and simulation modelling concepts and optimization methods proposed by academia.
This special issue therefore intends to contribute to an emerging stream of research - the so-called Empirically Grounded Analytics (EGA) - that combines an empirical basis in the sense of data, perspectives, challenges or views with analytical and simulation modelling and optimization approaches. This may be based on all relevant types of empirical insights, for instance, process and performance data, interviews, observations, experiments, case studies, or else. The key point is to use such empirical insights for advancing fundamental analytical contributions to improve decision making. We are looking for applications in areas such as procurement, inventory management, manufacturing, warehousing, and transportation.

Topics of interest for this special issue include, but are not limited to:

  *   Exploring key industry concerns resulting from the EU Supply Chain Directive and developing novel and adapted models for supplier selection.
  *   Differentiated e-commerce demand distributions as a basis for developing dedicated inventory models that connect to warehousing constraints.
  *   Manufacturing strategies that cope with observed real distributions of supply lead times and uncertain supply availability.
  *   Adequately reflecting packaging waste as outcome of last mile operations / home delivery.
  *   Impacts of demographic change on workforce shortage, and instruments of adaptation for companies in the manufacturing and logistics industries.
  *   Consideration of human factor aspects in decision support models to improve worker well-being in manufacturing and logistics.
  *   Reconsidering future cargo transportation options specifically given the slow progress on sustainable fuels.
The special issue editors will be present at the Logistics Management Conference in September 2025 in Milan (https://www.som.polimi.it/event/lm-2025-conference/) and will host a stream of sessions on the topic of the special issue. In addition, they will offer a paper revision workshop at the conference for submissions to the special issue.

Submission
Manuscripts should be submitted via the Elsevier Editorial System http://ees.elsevier.com/caie/. Please indicate in the Article Type "SI: EGA". Manuscripts should not have been previously published nor be currently under consideration for publication elsewhere. For a 'Guide for Authors', please refer to the webpage: https://www.sciencedirect.com/journal/computers-and-industrial-engineering/publish/guide-for-authors.

Tentative Timeline
Deadline for submission of full papers: 01.05.2025
The editors intend to complete the first round of reviews until 31.08.2025.
Papers invited for a revision can participate in the paper development workshop at the Logistics Management Conference in Milan in 09/2025.
Intended publication of the special issue: end of 2025.


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Prof. Dr. Christoph Glock

Technical University of Darmstadt | Department of Law and Economics |
Institute of Production and Supply Chain Management
Hochschulstr. 1 | 64289 Darmstadt | Germany | http://www.pscm.tu-darmstadt.de<http://www.pscm.tu-darmstadt.de/>
Tel.: +49 (0) 6151-16 24480 | E-Mail: glock at pscm.tu-darmstadt.de<mailto:glock at pscm.tu-darmstadt.de>
Follow us on Linkedin<https://www.linkedin.com/company/prod-tu-darmstadt>.

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