IDEAS home Printed from https://ideas.repec.org/a/ags/jjoscm/289432.html

Engineering Design Methodology for Green-Field Supply Chain Architectures Taxonomic Scheme

Author

Listed:
  • Radanliev, Petar

Abstract

Supply chain engineering requires a design that possesses the flexibility of a complex adaptive system, consisting of interlinking architecture, with external dimensions and system germane internal elements. The aim of this paper is to critically analyse the key supply chain concepts and approaches, to assess the fit between the research literature and the practical issues of supply chain architecture, design and engineering. The objective is to develop a methodology for strategy engineering, which could be used by practitioners when integrating supply chain architecture and design. Taxonomic scheme is applied to consider criteria for strategy architecture, hierarchical strategy integration design, strategy engineering, and integration of supply chain as a conceptual system. The results from this paper derived with the findings that the relationship between supply chain architecture, design and engineering is weak, and challenges remain in the process of adapting and aligning operations. This paper derived with a novel approach for addressing these obstacles, through a conceptual framework diagram and a new methodology, based on the taxonomic scheme. The novelty that derives from this paper is an engineering design methodology for integrating supply chain architecture and design, with criteria that enable decomposing and building a green-field (new and non-existent) supply chain as a system. The taxonomic scheme revealed a number of tools and mechanism, which enabled the development of a new methodology for engineering integrated architecture and design. The review derived with improvements to current and existing theories for analysing interdependencies within and between their individual contexts. This issue is addressed with a hierarchical method for network design, applied for building and combining the integration criteria. The resulting methodology is field tested through a case study with the slate mining industry in North Wales.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Radanliev, Petar, . "Engineering Design Methodology for Green-Field Supply Chain Architectures Taxonomic Scheme," Journal of Operations and Supply Chain Management (JOSCM), Fundação Getulio Vargas, Escola de Administração de Empresas de São Paulo (FGV EAESP), vol. 8(2).
    • Handle: RePEc:ags:jjoscm:289432
    DOI: 10.22004/ag.econ.289432
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/289432/files/58041.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.289432?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Radanliev, Petar & De Roure, David & Nicolescu, Razvan & Huth, Michael & Mantilla Montalvo, Rafael & Cannady, Stacy & Burnap, Peter, 2018. "Future developments in cyber risk assessment for the internet of things," MPRA Paper 92567, University Library of Munich, Germany, revised Sep 2018.
    2. Radanliev, Petar & De Roure, Dave & R.C. Nurse, Jason & Nicolescu, Razvan & Huth, Michael & Cannady, Stacy & Mantilla Montalvo, Rafael, 2019. "Cyber Security Framework for the Internet-of-Things in Industry 4.0," MPRA Paper 92565, University Library of Munich, Germany, revised 2019.
    3. Radanliev, Petar & De Roure, David & R.C. Nurse, Jason & Burnap, Pete & Anthi, Eirini & Ani, Uchenna & Maddox, La’Treall & Santos, Omar & Mantilla Montalvo, Rafael, 2019. "Definition of Internet of Things (IoT) Cyber Risk – Discussion on a Transformation Roadmap for Standardization of Regulations, Risk Maturity, Strategy Design and Impact Assessment," MPRA Paper 92569, University Library of Munich, Germany.

    More about this item

    Keywords

    ;

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:jjoscm:289432. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/eafgvbr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.