4.7 Article Proceedings Paper

Develop a negotiation framework for automating B2B processes in the RosettaNet environment using fuzzy technology

Journal

COMPUTERS & INDUSTRIAL ENGINEERING
Volume 56, Issue 2, Pages 736-753

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2008.06.016

Keywords

Business to business; RosettaNet; Negotiation; Fuzzy technology

Ask authors/readers for more resources

The electronic trade between enterprises becomes more popular due to the rapid development of electronic commerce. Under the electronic business environment, in order to make the trade process smoother and faster, most enterprises adopt industry standards, such as EDI and RosettaNet, for developing electronic business platforms to transact business processes. These standards and platforms call help both trading sides to control and facilitate the business processes and validate the document format. However, these processes still need human efforts to make decisions, which alight cause business losses due to time delay or human error during the process. In order to solve the problem, this study takes a step further to propose a negotiation framework for automating the 13213 processes. This study chooses RosettaNet purchase order management processes as an example to implement automated negotiations oil Biztalk platform. In order to evaluate the negotiation behavior of the opponent, two fuzzy membership functions, preference degree and opponent's concession degree, are proposed to develop 25 levels of fuzzy rules to determine better offers to help to reach a settlement more responsively and dynamically. Experiment results show that our approach can help 13213 transaction effectively. (C) 2008 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
Article Computer Science, Interdisciplinary Applications

Environmental cold chain distribution center location model in the semiconductor supply chain: A hybrid arithmetic whale optimization algorithm

Xiaolin Wang, Liyi Zhan, Yong Zhang, Teng Fei, Ming-Lang Tseng

Summary: This study proposes an environmental cold chain logistics distribution center location model to reduce transportation costs and carbon emissions. It also introduces a hybrid arithmetic whale optimization algorithm to overcome the limitations of the conventional algorithm.

COMPUTERS & INDUSTRIAL ENGINEERING (2024)

Article Computer Science, Interdisciplinary Applications

Blockchain-enabled integrated model for production-inventory-delivery problem in Physical Internet

Hong-yu Liu, Shou-feng Ji, Yuan-yuan Ji

Summary: This study proposes an architecture that utilizes Ethereum to investigate the production-inventory-delivery problem in Physical Internet (PI), and develops an iterative heuristic algorithm that outperforms other algorithms. However, due to gas prices and consumption, blockchain technology may not always be the optimal solution.

COMPUTERS & INDUSTRIAL ENGINEERING (2024)

Article Computer Science, Interdisciplinary Applications

The fuzzy human-robot collaboration assembly line balancing problem

Paraskevi Th. Zacharia, Elias K. Xidias, Andreas C. Nearchou

Summary: This article discusses the assembly line balancing problem in production lines with collaborative robots. Collaborative robots have the potential to improve automation, productivity, accuracy, and flexibility in manufacturing. The article explores the use of a problem-specific metaheuristic to solve this complex problem under uncertainty.

COMPUTERS & INDUSTRIAL ENGINEERING (2024)