Mohammad Bagher Fakhrzad; Mohammad Reza Firozpour; Hasan Hosseini Nasab; Ahmad Sadegheih
Abstract
For reducing risk effects in a supply chain, the appropriate risk assessment and ranking by the use of multi-criteria decision-making methods (MCDM) is important. Failure to properly assess and rank the risks makes the supply chain less efficient and competitive. Given the existence of both qualitative ...
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For reducing risk effects in a supply chain, the appropriate risk assessment and ranking by the use of multi-criteria decision-making methods (MCDM) is important. Failure to properly assess and rank the risks makes the supply chain less efficient and competitive. Given the existence of both qualitative and quantitative criteria in a supply chain, the use of verbal preferences, given by authorities for determining the priority of qualitative factors, has higher reliability than that of the Crisp numbers. Fuzzy concept plays an important role in solving the problem of complexity of assigning quantitative fixed numbers to the values of verbal preferences. In the proposed method of this study, a comparison was made among the decision-making methods in the fuzzy environment for selecting a suitable method. To validate the proposed method, we compared it to some case studies from the literature. The results show that the proposed method has high validity and reliability in assessing the risks of a supply chain.
Ehsan Dehghani; Peyman Taki
Abstract
This paper addresses an integrated multi-echelon location-allocation-inventory problem in a stochastic supply chain. In a bid to be more realistic, the demand and lead time are considered to be hemmed in by uncertainty. To tackle the proposed supply chain network design problem, a two-phase ...
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This paper addresses an integrated multi-echelon location-allocation-inventory problem in a stochastic supply chain. In a bid to be more realistic, the demand and lead time are considered to be hemmed in by uncertainty. To tackle the proposed supply chain network design problem, a two-phase approach based on queuing and optimization models is devised. The queuing approach is first deployed, which is able to cope with inherent uncertainty of parameters. Afterwards, the proposed supply chain network design problem is formulated using a mixed-integer nonlinear model. Likewise, the convexity of the model is proved and the optimal inventory policy as closed-form is acquired. Inasmuch as the concerned problem belongs to NP-hard problems, two meta-heuristic algorithms are employed, which are capable of circumventing the complexity burden of the model. The numerical examples evince the efficient and effective performance of the solving algorithms. Lastly, sensitivity analyses are conducted through which interesting insights are gained.
A. Ardavan; A. Alem Tabriz
Volume 3, Issue 2 , Summer and Autumn 2016, , Pages 33-57
Abstract
Supply chain design has a crucial role in the prosperity and sustainable growth of enterprises. Network and innovation mutual relationship shapes the orientation and design of the supply chain. Networks are means of securing access to the resources, information and support. A number of studies have examined ...
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Supply chain design has a crucial role in the prosperity and sustainable growth of enterprises. Network and innovation mutual relationship shapes the orientation and design of the supply chain. Networks are means of securing access to the resources, information and support. A number of studies have examined the relationship between networks and innovation, and show a positive relation between them which results in growth. The contingent nature of networking in the literature makes it a complex phenomenon for an entrepreneur to identify his/her optimal position in the web of networks and master it effectively to provide sustainable presence in the market. This paper examines different types of networking in a broad term and innovation in the context of enterprises and shows the interdependency of networking and innovation. An in-depth review of the extant literature and the grounded theory is applied to develop a conceptual framework for elements of the supply chain by exploring the major layers of networks, innovation and their mutual relationship. Based on this model, several studies are reviewed and this paper offers suggestions in order to understand how the network and innovation reciprocal relationship influences performance.