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  • A Strategic Model for Exact Supply Chain Network Design and its Application to a Global Manufacturer

    Arampantzi, Ch., Minis, I., Dikas, G.

    International Journal of Production Research, vol.57, no. 5, 2019, pp. 1371-1397


    This paper presents a comprehensive model that captures significant strategic decisions involved in designing or redesigning high-performance supply chains from the perspective of the manufacturer. The problem considers deterministic demand by multiple clients, for multiple products, over the periods of a long-term horizon. The design decisions involve selection of suppliers, establishment or resizing of production facilities and distribution centres, possible subcontracting of related activities, and selection of transportation modes and routes. The problem is formulated by a Mixed Integer Linear Programming model. Its objective is to minimise the overall costs associated with procurement, production, inventory, warehousing, and transportation over the design horizon. Appropriate constraints model the complex relationships among the links of the supply chain. The proposed model has been applied to a large case study of a global manufacturing firm, providing valuable insights into the transformation of the firm’s current supply chain network, as well as into the potential of the proposed approach.
    Keywords: supply network; supply chain design; global supply chain; mixed integer linear programming; operational
    Post date: Friday, July 10, 2020 - 09:09
  • Supply Chain 4.0: Improving supply chains with analytics and Industry 4.0 technologies 1st Edition

    by Bourlakis, E., Arkas, E., Zeimpekis, V., Minis, I. (Eds.), pages 288, 2020 (ISBN-13: 978-1789660753)

    Supply Chain 4.0 has introduced automation into logistics and supply chain processes, exploiting predictive analytics to better match supply with demand, optimizing operations and using the latest technologies for the last mile delivery such as drones and autonomous robots. Supply Chain 4.0 is an edited book which presents new methods, techniques, and information systems that support the coordination and optimization of logistics processes, reduction of operational costs as well as the emergence of entirely new services and business processes.
    Supply Chain 4.0 includes the state-of-the-art research and key contributions from the emerging 'Supply Chain 4.0' domain. Researchers from academia and industry present their latest theoretical contributions and innovative ideas. This edited book considers the latest technologies and operational research methods available to support smart, integrated, and sustainable logistics practices focusing on automation, big data, Internet of Things, autonomous vehicles and decision support systems for transportation and logistics. It also highlights market requirements and includes case studies of cutting edge applications from innovators in the logistics industry. Online supporting resources include powerpoints of lecture notes and research findings.
    Post date: Friday, July 10, 2020 - 08:59
  • Lab Report, 2019-4: Supply planning in natural disasters: modeling and analysis. Diploma Thesis, Department of Financial and Management Engineering, School of Engineering, University of the Aegean, Chios, Greece
    Post date: Thursday, October 31, 2019 - 08:14
  • Lab Report, 2019-3: MELOGIC PROJECT: ESHFP input data and results for the case study in the Province of Teruel, Spain
    Post date: Wednesday, October 30, 2019 - 14:45
  • Lab Report, 2019-2: MELOGIC PROJECT_ESHFP input data and solution for a large scale problem
    Post date: Wednesday, October 30, 2019 - 14:43