Data Analysis for Strategic Supply Chain Management

Safaa Sindi, Michael Roe

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The data generated through the Fuzzy Delphi is analysed using SPSS and Excel and a series of frequency tables focusing on categories of cost, JIT lean, distribution strategies, delivery strategies, product design and demand approach. The fuzzy rules which the process has generated are then analysed to produce the automated multi-dimensional model for strategic supply chain management utilising a specifically designed webpage which could be adopted by ant form of business. A substantial number of examples of the model and its application through the website are provided.
Original languageEnglish
Title of host publicationStrategic Supply Chain Management:
Subtitle of host publicationThe Development of a Diagnostic Model
EditorsSafaa Sindi, Michael Roe
Place of PublicationCham
PublisherSpringer International Publishing
Pages179-221
Number of pages43
ISBN (Electronic)78-3-319-54843-2
ISBN (Print)978-3-319-54842-5
DOIs
Publication statusPublished - 6 May 2017

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    Sindi, S., & Roe, M. (2017). Data Analysis for Strategic Supply Chain Management. In S. Sindi, & M. Roe (Eds.), Strategic Supply Chain Management: : The Development of a Diagnostic Model (pp. 179-221). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-54843-2_7