Journal of Manufacturing Technology Management: Volume 15 Issue 8

Performance measurement and evaluation of suppliers in supply chain: an evolutionary fuzzy‐based approach

Rajkumar Ohdar, Pradip Kumar Ray

In order to ensure the uninterrupted supply of items, the purchasing manager needs to evaluate suppliers' performance periodically. The evaluation process typically consists of…

Evaluation of the supplier performance using an evolutionary fuzzy‐based approach

Vipul Jain, M.K. Tiwari, F.T.S. Chan

Different entities in a supply chain network operate in a highly interdependent environment when it comes to improving performance of the network in terms of objectives such as…

Multi‐agent architecture for supply chain management

Daniel Roy, Didier Anciaux, Thibaud Monteiro, Latifa Ouzizi

The purpose of this paper is to propose a new approach for the supply chain management. This approach is based on the virtual enterprise paradigm and the usage of multi‐agent…

Supply chain scheduling using distributed parallel simulation

Juha‐Miikka Nurmilaakso

In a supply chain, an order often connects a number of companies whose schedules affect the success of the order. This paper proposes distributed supply chain scheduling in the…

A decision support system to facilitate resources allocation: an OLAP‐based neural network approach

H.C.W. Lau, A. Ning, W.H. Ip, K.L. Choy

The emergence of advanced information technologies strengthens the capability to the entrepreneur to manage and manipulate data. However, the quality of information, the…

An object‐based relational data base system using re‐configurable finance and material objects

W.H. Ip, Bocheng Chen, Henry Lau, Wangqi Sunjing

Any manufacturing information system today must be able to both “reconfigure” and “reengineer” operations in a cost‐effective way. The objective of this paper is to propose an…

Collaborative supply chain planning using the artificial neural network approach

Matthew Chiu, Grier Lin

The purpose of this paper is to show how the concepts of collaborative agents and artificial neural networks (ANNs) can work together to enable collaborative supply chain planning…