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  • Lean Services: Appropriateness of Cellular Operations in Information Intensive Services

    Gliatis, V. and Minis, I.

    Accepted for publication in Total Quality Management & Business Excellence, 2017


    We investigate the appropriateness of cellular work structures for information intensive services under a wide range of conditions. In this study, we also consider important and unique service characteristics, such as the relationship of operator performance and workload or overwork. The approach uses experimental design and discrete event simulation. The results favor the cellular structure in service environments in which a) significant reductions in key operational parameters may be achieved by introducing work cells, such as in setup time, in task duplication, and in the number of administrative layers; b) no severe bottlenecks emerge; c) operators are cross-skilled; d) high information dependencies exist amongst tasks. The study concludes by citing important managerial implications that service managers and consultants need to consider before embarking into the establishment of cells.

    Keywords: Cellular operations, lean services, lean cells, office cells, experimental design with simulation, state-dependent service operations

    Post date: Tuesday, July 4, 2017 - 09:14
  • A New Model for Designing Sustainable Supply Chain Networks and its Application to a Global Manufacturer

    Arampantzi, C. and Minis, I.

    Journal of Cleaner Production, 156, 2017, pp. 276– 92


    Sustainability affects multiple links of the supply chain and is considered increasingly important by all relevant stakeholders. To study the role of Sustainability in Supply Chain Network Design (SSCND), we propose a new Multi-objective Mixed Integer Linear Programming (MMILP) model, which captures significant decisions involved in designing or re-designing high performance, sustainable supply chains. The cost objective includes investment, operational, as well as emissions costs. The environmental objective captures emission quantities and waste generation at each link of the supply chain. The social objective considers employment opportunities, prioritizing societal community development and improved labor conditions. To solve the proposed model we employ both goal programming and the ε-constraint method to achieve efficient trade-offs among the three objectives. We have successfully applied the proposed model to a large case study of a global manufacturer. The goal programming method results in both economic and environmental cost improvements, while maintaining social costs under control. The ε-constraint method provides the opportunity to regulate the expenditures related to environmental and social strategies. Despite its high complexity, the case study results validate the ability of the proposed model and method to (re)design high performing sustainable supply chains.

    Keywords: SSCND, sustainable logistics, multi-objective supply chain network design

    Post date: Tuesday, July 4, 2017 - 09:08
  • Project MELOGIC - National Event


    Το Εργαστήριο Συστημάτων Σχεδιασμού Παραγωγής και Λειτουργιών (ΣυΣΠαΛ), του Τμήματος Μηχανικών Οικονομίας και Διοίκησης του Πανεπιστημίου Αιγαίου σας προσκαλεί στην ημερίδα που διοργανώνει την Τρίτη 13 Δεκεμβρίου 2016 με θέμα τη «Διαχείριση φυσικών καταστροφών: Ο ρόλος των logistics (disaster relief logistics)» στα πλαίσια του Ευρωπαϊκού Έργου “An integrated methodological framework for emergency logistics (MELOGIC)”

    Invitation for Workshop - Project Melogic


    Post date: Wednesday, November 30, 2016 - 13:58
  • Lab Report, 2016-5: A strategic model for exact supply chain network design and its application to a global manufacturer
    Post date: Monday, November 21, 2016 - 12:28
  • Lab-Report, 2016-4: Mapping and Analysis of Environmental and Social Aspects of the Supply Chain of a Global Refrigerator Manufacture
    Post date: Monday, November 21, 2016 - 12:27