Adaptive Tactical Pricing in Multi-Agent Supply Chain Markets Using Economic Regimes-Reference-Cited by-同舟云学术

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Adaptive Tactical Pricing in Multi-Agent Supply Chain Markets Using Economic Regimes

Published:2015-08 Issue:4 Volume:46 Page:791-818
ISSN:0011-7315
Container-title:Decision Sciences
language:en
Short-container-title:Decision Sciences

Author:

Hogenboom Alexander¹,Ketter Wolfgang²,van Dalen Jan²,Kaymak Uzay³,Collins John⁴,Gupta Alok⁵

Affiliation:

1. Econometric Institute; Erasmus University Rotterdam; Rotterdam The Netherlands

2. Rotterdam School of Management; Erasmus University Rotterdam; Rotterdam The Netherlands

3. Industrial Engineering & Innovation Sciences; Eindhoven University of Technology; Eindhoven The Netherlands

4. Computer Science and Engineering; University of Minnesota; Minneapolis MN USA

5. Carlson School of Management; University of Minnesota; Minneapolis MN USA

Publisher

Wiley

Subject

Management of Technology and Innovation,Information Systems and Management,Strategy and Management,General Business, Management and Accounting

Reference58 articles.

1. Dynamic pricing and inventory control: Uncertainty and competition;Adida;Operations Research,2010

2. Dynamic pricing for nonperishable products with demand learning;Araman;Operations Research,2009

3. Dynamic pricing without knowing the demand function: Risk bounds and near-optimal algorithms;Besbes;Operations Research,2009

4. Designing smart markets;Bichler;Information Systems Research,2010

5. Agent Mertacor: A robust design for dealing with uncertainty and variation in SCM environments;Chatzidimitriou;Expert Systems with Applications,2008

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2. Researched topics, patterns, barriers and enablers of artificial intelligence implementation in supply chain: a Latent-Dirichlet-allocation-based topic-modelling and expert validation;Production Planning & Control;2023-12-04

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4. Systematic literature review of machine learning for manufacturing supply chain;The TQM Journal;2023-08-08

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