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Neural Networks and Genetic Algorithms Applied for Implementing the Management Model "Triple A" in a Supply Chain. Case: Collection Centers of Raw Milk in the Azuay Province

Bermeo M. Juan Pablo, CastilIo C. Hilda Piedad, Serrano V. Santiago, A.J. Arumugham, M.M. Ulkhaq, M. Kocisko, R.K. Goyal, W.A. Yusmawiza, X. Qiu
2016 MATEC Web of Conferences  
support to the "alignment" the product of suppliers in the supply chain to final customers; the Neural Network with the Genetic Algorithm together serve as support to "adapt" the supply chain to variations  ...  The Neural Network was trained to work as a predictor of demand and will improve the "agility" of the supply chain, the genetic algorithm is used to obtain optimal routes of pickup from providers, this  ...  Then it is defined the adaptation function to minimize by: (2) where: (3) , see table 2 With encoding and adaptive function, an script was executed in Matlab with Genetic Algorithms for the optimal  ... 
doi:10.1051/matecconf/20166806008 fatcat:vsqh4e4uwjdipkp7fs5ri556ta

Integrated Planning Of Supply Chain Business Processes And Disaster-Tolerance Information Systems

Dmitry A. Ivanov, Boris V. Sokolov, Evelio A. Dilou
2011 ECMS 2011 Proceedings edited by: T. Burczynski, J. Kolodziej, A. Byrski, M. Carvalho  
ABSTRACT This contribution proposed an original modelling and algorithmic tools for integrated (re)-planning of supply chain business processes and disaster-tolerance information systems (DTIS).  ...  The prototype computer program for modelling and integrated planning of supply chain processes and DTIS has been developed.  ...  ACKNOWLEDGMENTS This research described in this paper is partially supported by grans of Russian Foundation for Basic Research (RFBR) (09-07-00066-a, 10-07-00311-a, 10-08-90027-Бел_a, 11-08-01016-а, 11  ... 
doi:10.7148/2011-0159-0165 dblp:conf/ecms/IvanovSR11 fatcat:3uazo2ad6fhb3jawkcu3qzleam

Guest editorial of "Intelligent logistics and supply chains"

Yi Wang, Jan Ola Strandhagen, Ke-Sheng Wang
2014 Advances in Manufacturing  
Information and communication technology (ICT) has been considered as an enabling tool for having more effective and efficient operations in the management of logistics and supply chains for many years  ...  and supply chains networks.  ...  Information and communication technology (ICT) has been considered as an enabling tool for having more effective and efficient operations in the management of logistics and supply chains for many years  ... 
doi:10.1007/s40436-014-0076-z fatcat:mnx4xlru45dute2mzpgi3r75d4

Optimisation approaches for distributed scheduling problems

Hing Kai Chan, Sai Ho Chung
2013 International Journal of Production Research  
Acknowledgements First and foremost, the guest editors are grateful to all anonymous reviewers for their valuable effort in reviewing the papers submitted to this special issue.  ...  They propose an effective and efficient decentralised optimisation for co-ordination of two partners of a supply chain.  ...  Supply chain planning approaches can be classified into two main planning systems: centralised and decentralised planning approaches.  ... 
doi:10.1080/00207543.2012.755345 fatcat:ijd5gpebfvd4hlogxljome7pey

An Exploratory Study on Demand Sensing Approach to Develop Short-Term Forecasts Amid Covid-19 Pandemic in Cpg Industry

Anand Goyal, Dr. Kiran Karande
2021 Psychology (Savannah, Ga.)  
There are 5 major factors which can help to understand demand at granular level (Digitization, Environment, Information Available, Supply chain Collaboration and Consumer Behaviour).  ...  This study uses empirical investigation of factors by conducting survey on random samples with people involved in demand planning role in CPG industry.  ...  for immediate action and resuming operations, mid-term for adapting by analyzing market insights to develop better demand forecasting model and long-term for evolving into resilient supply chain.  ... 
doi:10.17762/pae.v58i1.2171 fatcat:qk2zzb63lbbrdaenxp4b7ovmbm

A multi-agent based system with big data processing for enhanced supply chain agility

Mihalis Giannakis, Michalis Louis
2016 Journal of Enterprise Information Management  
Purpose: Decision support systems have become an indispensable tool for managing complex supply chains.  ...  It also opens up a new research agenda for incorporation of big data and semantic web applications for the design of supply chain information systems.  ...  to enable the agents to collect and interpret semantic information for the supply chain partners.  ... 
doi:10.1108/jeim-06-2015-0050 fatcat:tjr4wksbxbedbjlbeqbvdlxd6q

A multi-structural framework for adaptive supply chain planning and operations control with structure dynamics considerations

Dmitry Ivanov, Boris Sokolov, Joachim Kaeschel
2010 European Journal of Operational Research  
We elaborate a vision of adaptive supply chain management (A-SCM), a new dynamic model and tools for the planning and control of adaptive supply chains.  ...  The paper introduces a new conceptual framework for multistructural planning and operations of adaptive supply chains with structure dynamics considerations.  ...  Acknowledgments The research described in this paper is partially supported by grants from Saint-Petersburg Government (grants 36-350-II/1-04, 36-353-II/1-04), the Russian Foundation for Basic Research  ... 
doi:10.1016/j.ejor.2009.01.002 fatcat:zgrvycj4wvfnji26zqp63mfmvu

Application of Machine Learning in Supply Chain Management: A Comprehensive Overview of the Main Areas

Erfan Babaee Tirkolaee, Saeid Sadeghi, Farzaneh Mansoori Mooseloo, Hadi Rezaei Vandchali, Samira Aeini, Ali Ahmadian
2021 Mathematical Problems in Engineering  
In today's complex and ever-changing world, concerns about the lack of enough data have been replaced by concerns about too much data for supply chain management (SCM).  ...  The volume of data generated from all parts of the supply chain has changed the nature of SCM analysis.  ...  [81] developed a model for the routing of light delivery vehicles through logistics operators in which an adaptive neural network was trained by a simulated annealing algorithm. is model assesses the  ... 
doi:10.1155/2021/1476043 fatcat:hahas7ej7jbjlcpfmiz35vbhuu

Demand And Supply Chain Simulation In Telecommunication Industry By Multi-Rate Expert Systems

Andrus Pedai, Igor Astrov
2008 Zenodo  
In modern telecommunications industry, demand & supply chain management (DSCM) needs reliable design and versatile tools to control the material flow.  ...  In this paper the multi-rate expert system based methodology for developing simulation tools that would enable optimal DSCM for multi region, high volume and high complexity manufacturing environment was  ...  planning and demand-supply network (DSN) management.  ... 
doi:10.5281/zenodo.1333873 fatcat:pc27gefj7bdfteaohx7jmhbova

Fuzzy Adaptive ELM Approach for Supply Chain Management

Satyam Chouksey
2020 Zenodo  
It has an important significance for supply chain management.  ...  Supply chain management means that through designing, planning and controlling the supply chain, logistics, information flow and capital flow, a balance between supply and demand is achieved, customer  ... 
doi:10.5281/zenodo.4497780 fatcat:iwvjynkcejgktcchcacdtwrhna

Predictive analytics implementation in the logistic industry

Yanka Aleksandrova
2021 Ikonomika i Kompûtʺrni Nauki  
Nowadays more than ever supply chain networks must meet increased demands.  ...  Several methodologies for design of predictive analytics frameworks have been evaluated and on this basis an adaptation of Microsoft Team Data Science Process is proposed.  ...  The aim is to make long-term forecasts for the overall development of the supply chain.  ... 
doaj:5aa20ced65d14b0aa4836c7067daa852 fatcat:vi6ucvjaqvdplh6loc3cw3jrbi

The Optimal Employment of Supply Chain management Decision Support Agents: an Exploratory Study

Angela Mattia
2010 Americas Conference on Information Systems  
The issue of interest here is the employment of decision support agents in supply chain management.  ...  This research suggests the reasons why organizations might elect to invest supply chain management responsibilities in decision support agents rather than human functionaries.  ...  The supply chain tactical level is where planning and scheduling is done to meet actual demands.  ... 
dblp:conf/amcis/Mattia10 fatcat:mnfh2bi77vdbxcsmf6mwfkb5te

Event-based Reactive Production Order Scheduling for Manufacturing Execution Systems*

Steffen Lamparter, Christoph Legat, Raffaello Lepratti, Joachim Scharnagl, Lars Jordan
2011 IFAC Proceedings Volumes  
The system leverages logic-based complex event processing for detecting critical disruptions in the supply chain and initiates rescheduling of production.  ...  Today, first inter-organizational tracking & tracing systems facilitate timely identification and handling of disruptions along the supply chain.  ...  While these approaches aim at dealing with disruptions by adapting the supply chain, our work focuses on adapting the production processes.  ... 
doi:10.3182/20110828-6-it-1002.02054 fatcat:ijpjvhxe2bg7jaafmrhrnojcyq

Proactive Supply Chain Performance Management with Predictive Analytics

Nenad Stefanovic
2014 The Scientific World Journal  
This should lead to more intelligent, predictive, and responsive supply chains capable of adapting to future business environment.  ...  It presents the supply chain modelling approach based on the specialized metamodel which allows modelling of any supply chain configuration and at different level of details.  ...  Acknowledgment Research presented in this paper was supported by Ministry of Science and Technological Development of Republic of Serbia, Grant III-44010, Title: Intelligent Systems for Software Product  ... 
doi:10.1155/2014/528917 pmid:25386605 pmcid:PMC4214046 fatcat:t56h2wcfizg35moebzzf76cw3q

Agent-Oriented Supply-Chain Management [chapter]

Mark S. Fox, Mihai Barbuceanu, Rune Teigen
2001 Information-Based Manufacturing  
It views the supply chain as composed of a set of intelligent software agents, each responsible for one or more activities in the supply chain and each interacting with other agents in the planning and  ...  In recent years, a new software architecture for managing the supply chain at the tactical and operational levels has emerged.  ...  Design issues for a multiagent supply-chain system Which are the most important issues to address, to effectively build an agent-based software architecture for the supply chain?  ... 
doi:10.1007/978-1-4615-1599-9_5 fatcat:ltuzi2yacjcsbcdyoj2mwujynq
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