Using Environmental Demands to Improve Supply Chain Performance

Author(s):  
Paul Eric Dossou ◽  
Philip Mitchell
2018 ◽  
Vol 200 ◽  
pp. 00018
Author(s):  
Safaa Raaidi ◽  
Imane Bouhaddou ◽  
Asmaa Benghabrit

Nowadays, industries are continually looking to implement new subsidiaries in different continents, in order to better fulfill their customers’ needs, generate the best products in the shortest time and cheaper than their competitors. Achieving these goals is no longer related to the company itself, but to all partners in the supply chain. This justifies the need for efficient and judicious management of the whole supply chain, through the collective intervention of all its actors. Needless to say, a supply chain is a system made up of a set of suppliers, producers, subcontractors, retailers, wholesalers and customers, between whom material, information and financial flows are exchanged. Management of these flows is becoming increasingly difficult and constitutes the main source of the supply chain complexity. In order to alleviate this problem and improve supply chain performance, it is necessary to model it, taking into consideration its characteristics, which make it a complex system. Hence, the scoop of this paper is to prove that supply chain is a complex system, by highlighting its most relevant characteristics that make it such a system. Complex means what is braided together or woven together. If we separate the elements, we get acquaintance elements, but we lose their interactions. Within this trend, our contribution subscribes with its ultimate purpose modelling supply chain as complex system.


Author(s):  
Mohd. Nishat Faisal ◽  
Faisal Talib

Ambidexterity involves developing competencies to excel simultaneously on the exploration and exploitation dimensions. Few studies in literature discuss ambidexterity in a supply chain context. The research presented in this paper highlights issues that act as barriers and deserve attention in implementing ambidextrous supply chain strategy in SMEs. To develop a relationship structure existing among these variables, Interpretive Structural Modelling (ISM) technique is used. Further, variables' impact and dependency is calculated using Impact Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) approach. ISM algorithm proves to be a better tool as compared to a large-scale generic questionnaire based study due to its iterative nature that helps to bring forth issues that are difficult to identify otherwise. SMEs in India under tremendous pressure to excel on exploration and exploitation dimensions would be the major beneficiaries of this study. The hierarchy based structure and the classification of factors based on their impact and dependence, will enhance the understanding of SMEs mangers/owners to improve supply chain performance by eliminating barriers and thereby implementing ambidextrous strategy across the supply chain.


2010 ◽  
Vol 17 (4) ◽  
pp. 593-615 ◽  
Author(s):  
Maria Caridi ◽  
Luca Crippa ◽  
Alessandro Perego ◽  
Andrea Sianesi ◽  
Angela Tumino

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