Showing 2 results for and S.R. Hejazi
H.r. Khazaki, A. Shahandeh, and S.r. Hejazi,
Volume 27, Issue 2 (1-2009)
Abstract
This research proposes a vigorous methodology based on the fuzzy set theory to improve the facility layout process. Using natural language, the fuzzy set theory is an appropriate tool for controlling complex systems such as facility planning. The closeness rating between departments in a plant depends on qualitative and quantitative factors. Some of these factors may have a greater effect on the closeness rating. Thus, analytical hierarchy process (AHP) is used to find the weight of these factors. In this paper, a computer program, called FDARC, is developed to generate quantitative activity relationship charts. These charts are used by FLAYOUT to develop the layouts. The procedure is compared with two other recent methods. Computational results are used to demonstrate the effectiveness and efficiency of the method proposed.
A. Arkan, and S.r. Hejazi,
Volume 27, Issue 2 (1-2009)
Abstract
Supply chain coordination has become a critical success factor for supply chain management (SCM). In the past few years, the researchers have widely emphasized that cooperation among supply chain (SC) firms is a key source of competitive advantage. This paper is focused on supply chain coordination from the perspective of inventory management. Li and Liu [1] developed a model for illustrating how to use quantity discount policy by price adjustment mechanism to achieve supply chain coordination. We extend this mechanism to three echelon supply chain and consider variable lead time which has more
representation of the real world situation. For this purpose, we will develop a model with benefit objective function for the problem. We will then analyze the model with and without coordination. By solving the proposed model, proper order quantities will be obtained. Finally, the advantages of the proposed mechanism will be explored and a surplus benefit dividing method will be designed.
