One of the main critical success factors for the companies is their ability to build and maintain an effective collaborative network. This is more critical in the IT industry where the development of sustainable competitive advantage requires an integration of various resources, platforms, and capabilities provided by various actors. Employing such a collaborative network will dramatically change the operations management and promote flexibility and agility. Despite its importance, there is a lack of an analytical tool on collaborative network building process. In this paper, we propose an optimization model employing AHP and multiobjective programming for collaborative network building process based on two interorganizational relationships' theories, namely, (i) transaction cost theory and (ii) resource-based view, which are representative of short-term and long-term considerations. The five different methods were employed to solve the formulation and their performances were compared. The model is implemented in an IT company who was in process of developing a large-scale enterprise resource planning (ERP) system. The results show that the collaborative network formed through this selection process was more efficient in terms of cost, time, and development speed. The framework offers novel theoretical underpinning and analytical solutions and can be used as an effective tool in selecting network alternatives.
Nowadays, due to the importance of competition in supply chain, supplier selection is one of the most important issues in competition between manufacturers. Different companies take various criteria into account to select the appropriate suppliers. In this paper, we study a supplier selection problem, considering three key criteria: price, quality and delivery performance. For the first time in this paper a single-echelon supply chain has been studied at which each manufacturer tries not only to optimise his/her own situation but also to remove the other buyers from their optimum points. Hence, this paper considered a new competitive supplier selection problem with some assumption according to real world. In addition, because of new assumptions and complexity of the studied problem, an Imperialist Competitive Algorithm has been used to solve the problem. Finally the success of the mentioned model will be supported by a numerical example and the difference between decision making in competitive and non-competitive market will be shown.
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