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OCTOBER 19-20, 2012 - YMCA University of Science & Technology

OCTOBER 19-20, 2012 - YMCA University of Science & Technology

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Proceedings <strong>of</strong> the National Conference on<br />

Trends and Advances in Mechanical Engineering,<br />

<strong>YMCA</strong> <strong>University</strong> <strong>of</strong> <strong>Science</strong> & <strong>Technology</strong>, Faridabad, Haryana, Oct <strong>19</strong>-<strong>20</strong>, <strong>20</strong>12<br />

role in supply chain management, particularly in the buyer-supplier relationships particularly in the Malaysian<br />

context. The information sharing among the members <strong>of</strong> the chain, particularly between buyer and supplier, will<br />

result on the big impact to the partnership in term <strong>of</strong> the business performance.(V.C.Pandey et al,<strong>20</strong>10) They<br />

observed that information sharing has significant impact on the competitive strengths <strong>of</strong> the manufacturer in order<br />

winning parameters like cost effectiveness and service level.Statistical analysis has been done to identify the<br />

relationship with the type <strong>of</strong> information sharing and the competitive strengths <strong>of</strong> the manufacturing<br />

enterprises.(Rashed et al,<strong>20</strong>10) They focus on the combined consequence <strong>of</strong> information and knowledge sharing on<br />

supplier’s operational performance through supplier-buyer relationship. They collected data from 30 Bangladeshi<br />

Readymade Garments Industry were collected through interview and mail survey. The content validity, construct<br />

validity, and reliability are tested. They findings showed that information sharing is a prerequisite for knowledge<br />

sharing and the close supplier-buyer relationship is a vital factor for escalating the supplier’s operational<br />

performance. (Jairo R, Gloria L, <strong>20</strong>11) They devoted to the study <strong>of</strong> information sharing between the members <strong>of</strong> a<br />

supply chain in a dynamic context. They consider a typical make-to-order direct sell supply chain without finished<br />

products inventory, similar to the one implemented by Internet PC sellers. They compare various scheduling<br />

algorithms implemented to study different scenarios <strong>of</strong> information sharing among the members <strong>of</strong> the chain. A<br />

simulation study is developed in order to get some insights about the impact <strong>of</strong> information sharing on the<br />

performance <strong>of</strong> the chain.<br />

6. Risk in supplier manufacturer relationship<br />

Supplier risk management is an evolving discipline in operations management for manufacturers, retailers, financial<br />

services companies and government agencies where the organization is highly dependent on suppliers to achieve<br />

business objectives. Outsourcing, globalization, lean supply chain initiatives and supplier rationalization have<br />

contributed to a highly fragmented model, where control is <strong>of</strong>ten several steps removed from the corporation. While<br />

these models have allowed companies to reduce overall costs and expand quickly into new markets, they also expose<br />

the company to the risk <strong>of</strong> a supplier suddenly going bankrupt, closing operations or being acquired. (Christopher S,<br />

<strong>20</strong>06) They reviewed various quantitative models for managing supply chain risks. They also relate various supply<br />

chain risk management (SCRM) strategies examined in the research literature with actual practices.(Peter,<br />

Kevin,<strong>20</strong>09)They presents preliminary researchconceptsregardinganewapproachtotheidentification and prediction<br />

<strong>of</strong>supply risk. They asses and classify <strong>of</strong> suppliers is based on supplier’s attributes, performances and supply chain<br />

characteristics. The findings are explained with in the Contingency theory. (Qing et al, <strong>20</strong>08)They developed a new<br />

supply chain network model with multiple decision-makers associated at different tiers and with multiple<br />

transportation modes for shipment <strong>of</strong> the good between tiers.The models also incorporate the individual attitudes<br />

towards disruption risks among the manufacturers and the retailers, with the demands for the product associated with<br />

the retailers being random. They present the behavior <strong>of</strong> the various decision-makers, derive the governing<br />

equilibrium conditions, and establish the finite dimensional variation inequality formulation. (Zhen in Yu et al, <strong>20</strong>01)<br />

They illustrates the benefits <strong>of</strong> supply chain partnership based on in information sharing for a decentralized supply<br />

chain comprising a manufacturer and retailer and derive the members optimal inventory policies under different<br />

information sharing scenarios.<br />

7. Uncertainty in relationship<br />

Supply chain in <strong>19</strong>90, when issues related to the circulation material was formed, was introduced. These categories, a<br />

wide variety <strong>of</strong> press articles and various publications won, moreover, the issue <strong>of</strong> interest was a lot <strong>of</strong> teachers and<br />

pioneers In general , a supply chain consists <strong>of</strong> different activities including: logistics, inventory, supplying resources<br />

and purchasing, production planning, the relationship between and within the organization and measuring<br />

performance. Indeed, supply chain management is nothing but integration processes, supply chain from the supplier<br />

<strong>of</strong> the primary to the client end in order to create satisfaction for the consumer end. (Arnaldo, Andrea &Enrico,<br />

<strong>20</strong>05) They applied theory to model vertical inter-firm relationships and study risk sharing between manufacturers<br />

and first-tier suppliers in the Italian high-precision air conditioning (AC) industry. They use regression analysis to<br />

test the agency model on the supplier networks (respectively <strong>of</strong> 50 and 58 suppliers) <strong>of</strong> two leading Italian high<br />

precision AC manufacturers. The regression analysis shows that both the manufacturers absorb risk to a nonnegligible<br />

degree.(Paycharee, Damien,<strong>20</strong>06) They investigated the relationships between supply chain uncertainty,<br />

supply chain relationships and firm’s performance in product and service industries. They showed that in both<br />

industries, supply uncertainty is a more significant determinant <strong>of</strong> performance than demand uncertainty.A dyadic<br />

supply chain with uncertain supplier.(S. Mehdi, Behrooz,<strong>20</strong>10)They considered a dyadic supply chain with uncertain<br />

supplier and derive a good approximation for the total cost function <strong>of</strong> described system, as weighted mean costs <strong>of</strong><br />

871

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