LOGICRUNCHER - A Logistics Planning and Scheduling Decision Support System for Emerging EMS and 3PL Business Practices

2006 ◽  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Business Practices ◽  
Planning And Scheduling ◽  
Logistics Planning

Decision support system for strategic logistics planning

1995 ◽  
Vol 26 (1) ◽  
pp. 75-84 ◽  
Author(s):  
Gary P. Moynihan ◽  
Pravin S. Raj ◽  
Jay U. Sterling ◽  
William G. Nichols
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Logistics Planning

scholarly journals A decision support system for the operational production planning and scheduling of an integrated pulp and paper mill

2015 ◽  
Vol 77 ◽  
pp. 85-104 ◽  
Author(s):  
Gonçalo Figueira ◽  
Pedro Amorim ◽  
Luís Guimarães ◽  
Mário Amorim-Lopes ◽  
Fábio Neves-Moreira ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Production Planning ◽  
Support System ◽  
Paper Mill ◽  
Pulp And Paper ◽  
Pulp And Paper Mill ◽  
Planning And Scheduling ◽  
Production Planning And Scheduling

scholarly journals Cooperation platform for distributed manufacturing

2021 ◽  
Vol 14 (2) ◽  
Author(s):  
Roman Pietroń
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Distributed Manufacturing ◽  
Network Resource ◽  
Planning And Scheduling ◽  
Logistics Network ◽  
Dynamic Cluster ◽  
Control Centre ◽  
Key Factor

The aim of the paper is to analyse contemporary trends in distributed manufacturing (DM) research and to present a concept to develop and test some task allocation, planning and scheduling algorithms for DM network organisations. Some concepts to identify key factor criteria and reasoning policies and rules for production/manufacturing decision support system are also undertaken. And finally, an aim is to draw a proposal for a development of a prototype decision support system with necessary communication and knowledge oriented modules to be implemented in an example of dynamic, DM and logistics network structure, particularly for very popular dynamic cluster forms in Poland. The developed concept of the organization of a multi-entity DM network will enable business-effective use of the system, supporting manufacturing decision making, consulting and offering information services in the control centre (the so-called Competence Centre) by constructing virtual reality and access to services in a distributed network of cloud computing type. Integration of the whole system into one information system will enable analysis and network resource optimization of manufacturing and logistics processes, new analytical functions, reduction of delays in the manufacturing system, management of changes and risks, and visualization of the current state of the DM system.

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