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Negotiation-Based Capacity Planning with A Learning Mechanism Using Adaptive Neuro-Fuzzy Inference System
 
 
 
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Title Negotiation-Based Capacity Planning with A Learning Mechanism Using Adaptive Neuro-Fuzzy Inference System
Edition
Call Number 2016/38
ISBN/ISSN
Author(s) Fikri, Aulia Rahman Mufti
Subject(s) Computer Capacity Planning
Automated Negoitation
Classification 004.2 Fik n
Series Title
GMD Tesis
Language Inggris
Publisher Departemen Teknik Industri FTI-ITS
Publishing Year 2016
Publishing Place Surabaya
Collation
Abstract/Notes In decentralized manufacturing environment with multiple factories that are scattered geographically, the complexity of production systems increases, and capacity planning and allocation of resources have become a significant concern that affects system performances. This study focus on the development of an integrated framework to allocate limited budget in a multiple-factory environment. We develop a negotiation framework with learning mechanism to allocate autonomously finite budget provided by a headquarters and to facilitate the use of limited manufacturing resources that are scattered over individual factories. The outcome of the experiments shows good prediction of the opponent offers during negotiation, so then it enables the reduction of negotiation time.
Specific Detail Info Automated negotiation, capacity planning, learning mechanisms, negotiation decision function
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Pembimbing Prof. Kung-JengWang; Prof. Ir. I Nyoman Pujawan M.Eng., Ph.D.
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