Monitor for Information Alignment and Sustainability in Logistics Networks

2012 ◽  
Author(s):  
Jose Ferreira ◽  
Carlos Agostinho ◽  
Elisabeth Ilie-Zudor ◽  
Ricardo Jardim-Goncalves
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Data Exchange ◽  
Production Networks ◽  
Information Structures ◽  
Logistics Networks ◽  
Information Models ◽  
Multi Agent ◽  
Internal Information ◽  
Data Exchange Standard

Globalization of manufacturing and the enlargement of production networks bear the problem of logistics. These worldwide non-hierarchical manufacturing and distributing networks are characterized by non-centralized decision making, thus increasing the autonomy of the hub organizations and enabling different rules and procedures for decision making within the same supply chain, but decreasing the effectiveness in terms of integration, interoperability, and transportation. The major cause for that is due to different systems and information structures. This paper suggests aligning the different enterprises operating within the network, using morphisms to relate and develop transformations between their information models and a common data exchange standard. Also, in order to manage the dynamism of internal information systems, a multi-agent framework is proposed to detect changes, being capable of reacting to sustain the interoperability-enabling morphisms.

An Approach of Decision-Making Support Based on Collaborative Agents for Unexpected Rush Orders Management

2011 ◽  
pp. 108-125
Author(s):  
El Habib Nfaoui ◽  
Omar El Beqqali ◽  
Yacine Ouzrout ◽  
Abdelaziz Bouras
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Problem Solving ◽  
Broad Class ◽  
Global Distribution ◽  
Distributed Architecture ◽  
Agent Based ◽  
Multi Agent ◽  
Different Levels ◽  
Decision Making Support

Decisions at different levels of the supply chain can no longer be considered independently, since they may influence profitability throughout the supply chain. This paper focuses on the interest of multi-agent paradigm for the collaborative coordination in global distribution supply chain. Multi-agent computational environments are suitable for a broad class of coordination and negotiation issues involving multiple autonomous or semiautonomous problem solving contexts. An agent-based distributed architecture is proposed for better management of rush unexpected orders. This paper proposes a first architecture validated by a real and industrial case.

An Approach of Decision-Making Support Based on Collaborative Agents for Unexpected Rush Orders Management

2011 ◽  
pp. 680-698
Author(s):  
El Habib Nfaoui ◽  
Omar El Beqqali ◽  
Yacine Ouzrout ◽  
Abdelaziz Bouras
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Problem Solving ◽  
Broad Class ◽  
Global Distribution ◽  
Distributed Architecture ◽  
Agent Based ◽  
Multi Agent ◽  
Different Levels ◽  
Decision Making Support

Decisions at different levels of the supply chain can no longer be considered independently, since they may influence profitability throughout the supply chain. This paper focuses on the interest of multi-agent paradigm for the collaborative coordination in global distribution supply chain. Multi-agent computational environments are suitable for a broad class of coordination and negotiation issues involving multiple autonomous or semiautonomous problem solving contexts. An agent-based distributed architecture is proposed for better management of rush unexpected orders. This paper proposes a first architecture validated by a real and industrial case.

scholarly journals Framework for advanced supply chain planning: Large-scale petrochemical companies

2011 ◽  
Vol 8 (3) ◽  
pp. 452-463 ◽  
Author(s):  
Johan J. Louw ◽  
Wessel Pienaar
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Customer Service ◽  
Large Scale ◽  
Supply Chain Planning ◽  
Proactive Approach ◽  
Logistics Networks ◽  
Advanced Planning ◽  
Decision Making Processes

Most petrochemical companies are undergoing radical changes. The markets being served have expanded globally, customer service expectations have increased, and demand has become much more volatile and hence less predictable. The resulting product supply chains evolve/develop over time, with integrating decision-making processes and advanced planning practices becoming more prominent. A proactive approach with longer time horizons becomes the norm for excellence. Refinery expansion and highly integrated/sophisticated manufacturing technology have also contributed to increased interdependency within and between supply chains (upstream to feed sources, downstream to end consumer, and between logistics networks). These developments resulted in what is termed advance supply chain planning. Notwithstanding its unique differences, the petrochemical industry still has a lot of ground to cover before it can reach some of the advance supply chain planning benefits reported in other industries. This article presents what is believed to be an appropriate supply chain planning approach/framework for decision making in large-scale, integrated petrochemical companies.

scholarly journals A MULTI AGENT DECISION TREE ALGORITHM FOR SUPPLY CHAIN MANAGEMENT

2016 ◽  
Vol 15 (6) ◽  
pp. 6833-6837
Author(s):  
C.P. Balasubramaniam
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Decision Tree ◽  
Decision Tree Algorithm ◽  
Chain Management ◽  
Tree Algorithm ◽  
Agent Based ◽  
Multi Agent

The issue of interest here is the behavior of decision agents in supply chain management. The study uses a managerial framework to organize supply-related tasks to the behavior of specific instantiations of decision agents. The reasons why organizations might elect to invest supply chain management responsibilities in decision agents rather than human functionaries are illustrated. Finally, this research presents a final construct for optimal agent-based decision making opportunities. The implication is that a shift of power from humans to computers is shown to be quite effective on technically tractable decision situations.

Emergent Innovation-Centric and Adopter-Centric Checklists

2010 ◽  
pp. 181-195
Author(s):  
Josephine Wapakabulo Thomas
Keyword(s):  
Decision Making ◽  
Action Research ◽  
Data Exchange ◽  
Research Community ◽  
Frame Of Reference ◽  
Point Of View ◽  
Adoption Research ◽  
Standards Adoption ◽  
Shed Light ◽  
Data Exchange Standard

Data-exchange standards adoption research is important to both the SC4 community and the IT standards research community. Chapter Five and Six presented case studies of four standards to assess the factors and barriers critical to the adoption of standards. Two models were developed and these models sought to shed light on the relationships between factors and barriers critical to the adoption of dataexchange standards. However, as part of this research it was deemed important to develop two novel standards ‘Adoption Checklists’ from both an innovation- and adopter-centric point of view. The purpose of these checklists is to act as a frame of reference to support the decision-making process in the development and adoption of new and emerging data-exchange standards. The checklists are a series of ques-tions that can be used to assess the adoptability of a data-exchange standard. The checklists have been developed so that positive answers to the series of questions indicate that a standard is more likely to be adopted. In addition, these checklists act as a foundation for the action research into the adoption of PLCS, which is detailed in Chapters Eight and Nine. This chapter begins by chronicling the development of the innovation-centric ‘Adoption Checklist’. Following on from that is the development of the adopter-centric ‘Adoption Checklist.’ The final section summaries and concludes this chapter.

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