Virtual Enterprise Environments for Scientific Experiments

Author(s):  
Andrea Bosin ◽  
Nicoletta Dessì ◽  
Maria Grazia Fugini ◽  
Diego Liberati ◽  
Barbara Pes

An electronic marketplace (e-marketplace) is a promising architectural model to develop collaborative supply chain management and integration platforms (Premkumar, 2003). The e-marketplace philosophy is based on a collection of economically motivated companies that need to cooperate with each other by exchanging data, resources, and competences. To this aim, competitive technical and economical solutions have been found by integrating resources from diverse organizations into a virtual enterprise (VE) (Travica, 2005), enabling groups of companies to jointly develop and commercialise products and services, which an individual participating company could not realise by itself due to limited technical and financial capabilities.

Author(s):  
Reggie Davidrajuh

SMEs form a virtual enterprise—a short-term loose integration, to meet business opportunities; managers of SMEs are looking for a tool that could help them design the strategic model of the supply chain in which they are collaboratively involved. Though the use of e-commerce tools has a lot of potential to improve an enterprise’s collaboration efforts with other enterprises, realizing an e-commerce tool that enables collaborative supply chain design and development is not easy, as collaborating enterprises may each use a different flavor of XML, multiple technology solutions, and have different business rules. This chapter presents a methodology for developing a new e-commerce tool to assist collaborative supply chain management. By this methodology, a new tool that is affordable by the SMEs and offers improved pipeline visibility could be easily implemented.


2011 ◽  
pp. 25-79
Author(s):  
Maria Manuela Cunha ◽  
Goran D. Putnik

In this chapter the most relevant and most discussed virtual enterprise models are introduced in a broader sense: the Supply Chain Management, Extended Enterprise, the Agile Enterprise/Manufacturing, the Virtual Enterprise/Virtual Organization, the BM_VEARM Agile/Virtual Enterprise and OPIM (One Product Integrated Manufacturing). At the end of the chapter a discussion is presented.


2006 ◽  
Vol 174 (1) ◽  
pp. 387-403 ◽  
Author(s):  
Ahu Soylu ◽  
Cihan Oruç ◽  
Metin Turkay ◽  
Kaoru Fujita ◽  
Tatsuyuki Asakura

Mathematics ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 480 ◽  
Author(s):  
Asif Iqbal Malik ◽  
Biswajit Sarkar

In this paper, a supply-chain (SC) coordination method based on the lead-time crashing is proposed for a seller–buyer system. By considering different transportation modes, we control the lead-time (LT) variability. For the first time, we have attempted to determine the impact of the reliable and unreliable seller in a continuous-review supply-chain model under the stochastic environment. The authors discussed two reliability cases for the seller. First, we consider the seller is unreliable and in the second case, the seller is reliable. In addition, the demand during the lead time is stochastic with the known mean and variance. The proposed approach tries to find an optimal solution that performs well without a specific probability distribution. Besides, a discrete investment is made to reduce the setup cost, which will indirectly help supply-chain members to increase the total profit of the system. In the proposed model, the seller motivates the buyer by reducing lead time to take part in coordinating decision-making for the system’s profit optimization. We derive the coordination conditions for both members, the seller and the buyer, under which they are convinced to take part in the cooperative decision-making plan. Therefore, lead-time crashing is the proposed incentive mechanism for collaborative supply-chain management. We use a fixed-charge step function to calculate the lead-time crashing cost for slow and fast shipping mode. We give two numerical examples to validate the proposed models and demonstrate the service-level enhancement under the collaborative supply-chain management in case of an unreliable seller. Concluding remarks and future extensions are discussed at the end.


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