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

Fingerprint

Supply chain management
Web sites
Excel
Delphi
Costs
Ants
Just-in-time
Product design
Distribution strategy

Cite this

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

Data Analysis for Strategic Supply Chain Management. / Sindi, Safaa; Roe, Michael.

Strategic Supply Chain Management: : The Development of a Diagnostic Model. ed. / Safaa Sindi; Michael Roe. Cham : Springer International Publishing, 2017. p. 179-221.

Research output: Chapter in Book/Report/Conference proceedingChapter

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. Springer International Publishing, Cham, pp. 179-221. https://doi.org/10.1007/978-3-319-54843-2_7
Sindi S, Roe M. Data Analysis for Strategic Supply Chain Management. In Sindi S, Roe M, editors, Strategic Supply Chain Management: : The Development of a Diagnostic Model. Cham: Springer International Publishing. 2017. p. 179-221 https://doi.org/10.1007/978-3-319-54843-2_7
Sindi, Safaa ; Roe, Michael. / Data Analysis for Strategic Supply Chain Management. Strategic Supply Chain Management: : The Development of a Diagnostic Model. editor / Safaa Sindi ; Michael Roe. Cham : Springer International Publishing, 2017. pp. 179-221
@inbook{6a356ec457c6453593af092a41a5ba3b,
title = "Data Analysis for Strategic Supply Chain Management",
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.",
author = "Safaa Sindi and Michael Roe",
year = "2017",
month = "5",
day = "6",
doi = "10.1007/978-3-319-54843-2_7",
language = "English",
isbn = "978-3-319-54842-5",
pages = "179--221",
editor = "Safaa Sindi and Michael Roe",
booktitle = "Strategic Supply Chain Management:",
publisher = "Springer International Publishing",

}

TY - CHAP

T1 - Data Analysis for Strategic Supply Chain Management

AU - Sindi, Safaa

AU - Roe, Michael

PY - 2017/5/6

Y1 - 2017/5/6

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-319-54843-2_7

DO - 10.1007/978-3-319-54843-2_7

M3 - Chapter

SN - 978-3-319-54842-5

SP - 179

EP - 221

BT - Strategic Supply Chain Management:

A2 - Sindi, Safaa

A2 - Roe, Michael

PB - Springer International Publishing

CY - Cham

ER -