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Advanced supply chain planning processes and decision support systems for large-scale petrochemical companies

Thesis (PhD (Logistics))--University of Stellenbosch, 2006.

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Main Author: Louw, Johannes Jacobus
Other Authors: Pienaar, W. J.
Format: Thesis
Language:English
Published: Stellenbosch : University of Stellenbosch 2008
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access_status_str Open Access
author Louw, Johannes Jacobus
author2 Pienaar, W. J.
author_browse Louw, Johannes Jacobus
Pienaar, W. J.
author_facet Pienaar, W. J.
Louw, Johannes Jacobus
author_sort Louw, Johannes Jacobus
collection Thesis
dc_rights_str_mv University of Stellenbosch
description Thesis (PhD (Logistics))--University of Stellenbosch, 2006.
format Thesis
id oai:scholar.sun.ac.za:10019.1/1117
institution Stellenbosch University (South Africa)
language English
last_indexed 2026-06-10T12:42:21.587Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2008
publishDateRange 2008
publishDateSort 2008
publisher Stellenbosch : University of Stellenbosch
publisherStr Stellenbosch : University of Stellenbosch
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/1117 Advanced supply chain planning processes and decision support systems for large-scale petrochemical companies Louw, Johannes Jacobus Pienaar, W. J. University of Stellenbosch. Faculty of Economic and Management Sciences. Dept. of Logistics. Advanced planning Decision support systems Enterprise-wide supply chain planning Management science Operations research Petrochemical industry Supply chain planning, Supply chain processes Petroleum chemicals industry -- South Africa Business logistics -- South Africa Dissertations -- Logistics Theses -- Logistics Thesis (PhD (Logistics))--University of Stellenbosch, 2006. Conventional supply chain integration concepts focus primarily on the internal and external integration of individual supply chains (can be viewed as intra-supply chain integration). Due to the highly integrated nature of petrochemical value chains, related supply chains should also be integrated by taking account of enterprise/industry-wide synergies and interdependencies (can be viewed as inter-supply chain integration). Inter-supply chain integration can typically develop along three dimensions: - Upstream feed clusters (upstream in the chemical value chain) - Downstream product clusters (downstream in the chemical value chain) - Macro logistics network clusters (within and across related logistics networks for liquid bulk, dry bulk, packaged goods and gases) This dissertation presents a generic framework of applicable intra- and inter-supply chain planning processes that supports related long- (strategic), medium- (tactical) and short-term (operational) supply chain decisions for large-scale petrochemical companies. This type of companies has to manage relative complex supply chains. Highly complex supply chains (due to an extensive product portfolio, supplier base, customer base, manufacturing processes, transportation, and management processes and systems) require far more advanced planning processes than simple supply chains. Advanced supply chain planning processes cover an extended supply chain scope, deal with longer time horizons, and utilize more sophisticated analytical techniques and decision support systems. An extensive literature study, supplemented by empirical research in the South African petrochemical industry, provided the foundation for the advanced supply chain planning framework concluded in this dissertation. Semi-structured interviews and a questionnaire presented to an informed audience constitute the empirical research conducted. The related best practices, concepts, approaches followed, and level of advancement in three supply chain planning dimensions were derived. To guide petrochemical companies along the planning advancement journey, the roadmap developed can be utilized for the application and implementation of the advanced supply chain planning framework. This roadmap articulates the advancement stages, dimensions, characteristics, and triggers to advance. Typical characteristics associated with the advancement stages and dimensions provide the means for a company to assess their level of progression. The essential mechanisms that can enable interventions are also articulated. Doctoral 2008-02-05T10:29:27Z 2010-06-01T08:12:52Z 2008-02-05T10:29:27Z 2010-06-01T08:12:52Z 2006-12 Thesis http://hdl.handle.net/10019.1/1117 en University of Stellenbosch 7572599 bytes application/pdf application/pdf Stellenbosch : University of Stellenbosch
spellingShingle Advanced planning
Decision support systems
Enterprise-wide supply chain planning
Management science
Operations research
Petrochemical industry
Supply chain planning,
Supply chain processes
Petroleum chemicals industry -- South Africa
Business logistics -- South Africa
Dissertations -- Logistics
Theses -- Logistics
Louw, Johannes Jacobus
Advanced supply chain planning processes and decision support systems for large-scale petrochemical companies
title Advanced supply chain planning processes and decision support systems for large-scale petrochemical companies
title_full Advanced supply chain planning processes and decision support systems for large-scale petrochemical companies
title_fullStr Advanced supply chain planning processes and decision support systems for large-scale petrochemical companies
title_full_unstemmed Advanced supply chain planning processes and decision support systems for large-scale petrochemical companies
title_short Advanced supply chain planning processes and decision support systems for large-scale petrochemical companies
title_sort advanced supply chain planning processes and decision support systems for large scale petrochemical companies
topic Advanced planning
Decision support systems
Enterprise-wide supply chain planning
Management science
Operations research
Petrochemical industry
Supply chain planning,
Supply chain processes
Petroleum chemicals industry -- South Africa
Business logistics -- South Africa
Dissertations -- Logistics
Theses -- Logistics
url http://hdl.handle.net/10019.1/1117
work_keys_str_mv AT louwjohannesjacobus advancedsupplychainplanningprocessesanddecisionsupportsystemsforlargescalepetrochemicalcompanies