Mahdi Haghighi Kaffash; Zhre Dehdashtishahrokh; Vahid Khashei; Reza Hajari
Abstract
This study is conducted to identify and analysis the relationship between the factors affecting the distribution network design (DND) in the food distribution industry in Iran. In this paper, the distribution network design has been classified into two main areas of the strategic structure of the distribution ...
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This study is conducted to identify and analysis the relationship between the factors affecting the distribution network design (DND) in the food distribution industry in Iran. In this paper, the distribution network design has been classified into two main areas of the strategic structure of the distribution network and the distribution management policies and the impact of the key variables on distribution network design has been investigated. This study is descriptive, exploratory and using quantitative research method. The statistical population of this research is all 54 food distribution companies in Iran. Using a census method, a questionnaire was sent to all general and marketing managers of these companies (108 people). 92 questionnaires were completed, according to the established criteria, only 81 questionnaires could be used, which also covers the standards of Cochran formula. The partial least squares (PLS) method is used to analyze the data and the results show that product characteristics, service requirements, demand characteristics, supply characteristics, and economic variables are the key variables that affect the distribution network design. Given the lack of research on the distribution network design and the study of the factors affecting the formation of strategic distribution structures and policies, it can be argued that this article provides valuable insights for academics and professionals, because in many studies the various components of distribution network design, the decisions related to the design of the distribution network and the analysis of the main factors affecting the distribution network structure are presented
Saber Shiripour; Ameneh Adib
Abstract
Supply chain is a network consists of several parts and their inter-relationships. To achieve continuous improvement in supply chain, it is necessary to continually evaluate supply chain performance. One of the important points in evaluating the performance, identify weaknesses subunits, considering ...
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Supply chain is a network consists of several parts and their inter-relationships. To achieve continuous improvement in supply chain, it is necessary to continually evaluate supply chain performance. One of the important points in evaluating the performance, identify weaknesses subunits, considering the relations between the units in system management and balance between the sectors. In this paper, Network Data Envelopment Analysis technique is used for performance evaluation. Identification of inefficient units in the supply chain and improve their performance is of utmost importance. Since the supply chain is made up of different units, improving several unit is impossible. So, setting priorities is necessary to improve the unit. In addition, the selection of Pattern units is important to get an idea on how to improve inefficient units. So, in this work, using Fuzzy Data, a systematic method is defined for benchmarking supply chain, which in addition to evaluating the performance of the entire supply chain and determine efficient and inefficient decision making units, the efficiency of each of the parts of the supply chain is also calculated. This method is used for performance evaluation of the supply chains of Polyethylene pipes and so the communications and the processes of internal wards of their supply chain is reviewed. In the end, using benchmarking technique, improvement priorities are determined for different levels of the supply chain.
Mehdi Seifbarghy; Shima Zangeneh
Abstract
In the classic models of facility location, it is assumed that the selected facilities always work based on the schedule while, in the real world, facilities are always exposed to disruption risk and sometimes these disruptions have long-term effects on the supply chain network and cause a lot of problems. ...
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In the classic models of facility location, it is assumed that the selected facilities always work based on the schedule while, in the real world, facilities are always exposed to disruption risk and sometimes these disruptions have long-term effects on the supply chain network and cause a lot of problems. In this paper, a mixed integer programing (MIP) model presented in order to determine how to serve the customers at the time of disruption in distribution centers in a two-echelon supply chain, including distribution centers and customers. This model selects potential places that minimize traditionally supply chain costs and also the transportation cost after distribution centers disruptions. In fact, the model tries to choose the distribution centers facilities with lowest cost and highest reliability and also allocate them to customers. The problem divided into two sub-problems using Lagrangian relaxation approach. By examining sub-problems optimal conditions, a heuristic solution is used for the first sub-problem and a genetic algorithm is used for the second sub-problem to solve large-scale problems. Finally, numerical examples are presented to examine the performance and efficiency of the proposed model and approach
