Development of an optimised, automated multidimensional model for supply chain management

Safaa Sindi, Michael Roe

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This research divides supply chain (SC) models into seven Eras, according to the evolution of the marketsneeds throughout time. The five earliest Eras describe the emergence of supply chains, while the last two areto becreated. The aim is to generate the two latest Eras with their respective models that focus on consumablegoods. Era Six contains the Optimal Multidimensional Matrix (OMM) that incorporates most characteristics oftheSC and allocates them into four quarters (Agile, Lean, Leagile, and Basic SC). This will help companies, especially (SMEs) plan their optimal SC route. Era Seven creates an Automated Multidimensional Model (AMM) which upgrades the matrix of Era six, as it accounts for all the supply chain factors (i.e., Offshoring, sourcing, risk) into an interactive system with automated and tailoring system that helps larger companies and industriestoselect the best SC model for their market. Data collection is based on a Fuzzy-Delphi study that analyses statements using Fuzzy Logic. The first round of Delphi study will contain statements (fuzzy rules) about the matrix of Era six. The second round of Delphi contains the feedback given from the first round and so on. The Matrix of Era six reduces the complexity of choosing the best SC model for SMEs by helping them identify the best strategy of Basic SC, Lean, Agile and Leagile SC; thats tailored to their needs. The interactive automatedand tailoring system in the AMMof Era seven will help mitigate error and aid large companies to identifyand restrategize the best SC model and distribution system for their market and commodity, hence increasing efficiency.The problematic issue facing many companies is to decide which SC model or strategy to incorporate,due tothe many models and definitions developed over the years. This research simplifies this by putting mostdefinitions in a template and most models in th Matrix of era six. This division of SC into Eras, the Matrix of Era six (OMM) and the automated and tailoring system of Era seven provides a synergy of tools that were notcombined before in the area of SC. Additionally the OMM of Era six combines most characteristics of the SC,which is an original concept in itself.

Original languageEnglish
Title of host publicationProgress in Economics Research
EditorsAlbert Tavidze
PublisherNova Science Publishers, Inc.
Pages91-105
Number of pages15
Volume31
ISBN (Electronic)9781634825153
ISBN (Print)9781634825023
Publication statusPublished - 1 Oct 2015
Externally publishedYes

Fingerprint

Supply chain
Supply chain management
Tailoring
Large companies
Delphi study
Small and medium-sized enterprises
Distribution system
Upgrade
Template
Commodities
Offshoring
Fuzzy logic
Sourcing
Delphi
Data collection
Synergy
Factors

Keywords

  • Delphi studies
  • Fuzzy logic
  • Supply chains

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)

Cite this

Sindi, S., & Roe, M. (2015). Development of an optimised, automated multidimensional model for supply chain management. In A. Tavidze (Ed.), Progress in Economics Research (Vol. 31, pp. 91-105). Nova Science Publishers, Inc..

Development of an optimised, automated multidimensional model for supply chain management. / Sindi, Safaa; Roe, Michael.

Progress in Economics Research. ed. / Albert Tavidze. Vol. 31 Nova Science Publishers, Inc., 2015. p. 91-105.

Research output: Chapter in Book/Report/Conference proceedingChapter

Sindi, S & Roe, M 2015, Development of an optimised, automated multidimensional model for supply chain management. in A Tavidze (ed.), Progress in Economics Research. vol. 31, Nova Science Publishers, Inc., pp. 91-105.
Sindi S, Roe M. Development of an optimised, automated multidimensional model for supply chain management. In Tavidze A, editor, Progress in Economics Research. Vol. 31. Nova Science Publishers, Inc. 2015. p. 91-105
Sindi, Safaa ; Roe, Michael. / Development of an optimised, automated multidimensional model for supply chain management. Progress in Economics Research. editor / Albert Tavidze. Vol. 31 Nova Science Publishers, Inc., 2015. pp. 91-105
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