Showing 2 results for Pilevari
J. Jassbi, S.m. Seyedhosseini , N. Pilevari,
Volume 20, Issue 4 (IJIEPR 2010)
Abstract
Nowadays, in turbulent and violate global markets, agility has been considered as a fundamental characteristic of a supply chain needed for survival. To achieve the competitive edge, companies must align with suppliers and customers to streamline operations, as well as agility beyond individual companies. Consequently Agile Supply Chain (ASC) is considered as a dominant competitive advantage. However, so far a little effort has been made for designing, operating and evaluating agile supply chain in recent years. Therefore, in this study a new approach has been developed based on Adaptive Neuro Fuzzy Inference System (ANFIS) for evaluating agility in supply chain considering agility capabilities such as Flexibility, Competency, Cost, Responsiveness and Quickness. This evaluation helps managers to perform gap analysis between existent agility level and the desired one and also provides more informative and reliable information for decision making. Finally the proposed model has been applied to a leading car manufacturing company in Iran to prove the applicability of the model.
Nazanin Pilevari, Javad Jassbi, Mahda Garmaki,
Volume 25, Issue 2 (IIJEPR 2014)
Abstract
Nowadays, in turbulent and violate global markets an Agile Supply Chain (ASC) network is frequently considered as a dominant competitive advantage for survival. To achieve the competitive advantage, companies must align with suppliers and customers to streamline operations, as well as agility beyond individual companies. There are many definitions and models about agile supply chain and most of them have emphasized on capabilities and enablers, and their sub attributes, as two critical factors, but regardless of time and its effect on the main attributes. This paper tries to present the role of time on predicting the agility of supply chain, by studying effect of intervention time on enablers and eventually predict the progress trend of agility in supply chain. To gain this end we use ANFIS output to assess agility and compare the effects of agile enablers in period of time on capabilities in Iran Khodro manufacture. This recognition helps managers to consider time as leverage factor and focus on this factor to enhance existent agility level and achievement the desired one.
