Systems and service modeling and simulation
H. Amin-Tahmasbi; M. Hami
Abstract
In today’s competitive business environment, supply chain performance is one of the most critical issues in the various industries; there is much argumentation about the fact that supply chain performance is the basis of the supply chain management efficiency. In this regard, the distribution sector ...
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In today’s competitive business environment, supply chain performance is one of the most critical issues in the various industries; there is much argumentation about the fact that supply chain performance is the basis of the supply chain management efficiency. In this regard, the distribution sector is the most important part of the supply chain. Due to the pulse of a company is in the hands of its sales and distribution department. This article proposes a new mixed integrated linear programming model MILP for scheduling distribution channel membership based on capillary marketing by considering staffs experiences at Pak's pasteurized dairy in one month. The purpose of this study is to reduce the costs of the company along with the increase in sales. Constraints affecting target functions such as minimum sales per employee and maximum overtime days are also considered. The computational experiment by GAMS software demonstrates the effectiveness of the model in reaching its objectives.
Systems and service modeling and simulation
F. S. Gohari; M.J. Tarokh
Abstract
Recommender systems have become fundamental applications in overloaded information domains like e-commerce. These systems aim to provide users with suggestions about items that are likely to be of their interest. Collaborative Filtering (CF) is one of the most successful approaches in recommender systems. ...
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Recommender systems have become fundamental applications in overloaded information domains like e-commerce. These systems aim to provide users with suggestions about items that are likely to be of their interest. Collaborative Filtering (CF) is one of the most successful approaches in recommender systems. Regardless of its success in many application domains, CF has main limitations such as sparsity, cold start, gray sheep and scalability problems. In order to overcome these limitations, hybrid CF systems have been used which combine CF with other recommendation approaches. This paper provides a comprehensive survey of hybrid CF systems; it also provides a classification for these systems, explains their strengths or weaknesses and compares their performance in dealing with the main limitations of CF.
