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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 />

Table 1: Critical Factor for AMT Implementation<br />

Critical Factors<br />

Description<br />

1. Strategic Planning Strategic planning mainly involves the assessment <strong>of</strong> the capabilities <strong>of</strong> the<br />

organisation to meet the requirements <strong>of</strong> the AMT<br />

(i) Person Responsible Person responsible is the leader, who take all the initiatives for successful<br />

implementation <strong>of</strong> AMT<br />

(ii) Financial Risk The possibility that shareholders will lose money when they invest in AMT<br />

(iii) Level <strong>of</strong> <strong>Technology</strong> How much advanced technology is needed to achieve organisations’ goals<br />

Investment<br />

(iv) Government Policies The policies made by the government affecting the implementation <strong>of</strong> AMT<br />

2. Concept Development Investing feasibility and selecting the best AMT alternative<br />

(i) End User The targeted customer<br />

(ii) Supplier Support Relationship between supplier and buyer<br />

(iii) Location<br />

(iv) Feasibility Analysis<br />

Raw materials, customers and competitors depend upon this<br />

Evaluation <strong>of</strong> strengths and weaknesses <strong>of</strong> the AMT<br />

3. Infrastructure Physical and organisational structure needed for operation <strong>of</strong> AMT<br />

(i) Size Size <strong>of</strong> the firm i.e. whether large or small size<br />

(ii) Financial Position<br />

Financial capability to invest<br />

(iii) <strong>Technology</strong> Competent Availability <strong>of</strong> the technology competent workers<br />

Workers<br />

(iv) Computerized Linking together previously separated activities by using computer<br />

Integration<br />

4. Performance<br />

A process towards measuring the predetermined goals<br />

Measurement<br />

(i) Flexibility Ability to quickly respond to the market changes<br />

(ii) Quality<br />

Fit for purpose<br />

(iii) Delivery Time Time between order placed and goods to deliver at the customer end<br />

(iv) Cost<br />

It should remain competitive<br />

5. Human Resource Practice Value enhancement <strong>of</strong> the workers<br />

(i) Employees’<br />

Psychological feature that arouses an employee to give his/her best<br />

Motivation<br />

(ii) Management Support Support <strong>of</strong> the management for AMT implementation<br />

(iii) Recruitment<br />

Recruitment <strong>of</strong> the right work force to handle AMT<br />

(iv) Employees’ Training Training to the employees for handling AMT<br />

6. Post Implement<br />

Required to make future strategies<br />

Evaluation<br />

(i) Customers’ Feedback will help to improve the AMT outcome<br />

(ii) Production Rate A factor to judge the benefits <strong>of</strong> installing AMT<br />

(iii) Competition<br />

How implementing AMT will improve the position among the competitors<br />

(iv) Quality <strong>of</strong> the Product How AMT implementation has improved the quality <strong>of</strong> the product<br />

3 . Analytical Network Process (ANP)<br />

ANP is a general form <strong>of</strong> AHP. AHP was first proposed by Saaty (<strong>19</strong>80a & <strong>19</strong>80b). The AHP is a widely used<br />

MADM based on the representation <strong>of</strong> a decision making problem by a hierarchical structure where elements are<br />

independent and unidirectionally linked. By considering both qualitative and quantitative aspects <strong>of</strong> a decision<br />

and through a pairwise comparison, it allows to set priorities among the elements and make the best decision.<br />

Decision problems are not always structured in a hierarchal way i.e. they may have interrelations among the<br />

elements at the same level. To overcome this difficulty, ANP was introduced by Saaty in <strong>19</strong>96. ANP<br />

simultaneously takes into account both feedback and dependence. ANP generalizes the AHP by allowing<br />

networks with or without hierarchal structure. ANP makes the best decision by allowing feedback within<br />

elements <strong>of</strong> a cluster (inner dependence) or between clusters (outer dependence). ANP methodology is explained<br />

in Saaty’s book (Saaty, <strong>20</strong>05). A brief description is given here because <strong>of</strong> space limitation. The ANP comprises<br />

<strong>of</strong> the following major steps:<br />

903

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