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Souvenir Containing Abstracts - YMCA University of Science ...

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National Conference on Trends and Advances in Mechanical Engineering<br />

TAME-2012<br />

OCT 19-20, 2012<br />

Keywords: - Operation research technique, finance, financial market problem.<br />

***<br />

QUEST FOR ENVIRONMENTAL PROTECTION BY INTEGRATED GREEN<br />

MANUFACTURING SYSTEM<br />

1 2 3<br />

Sandeep Handa , Dr. Tilak Raj , Dr. Sandeep Grover<br />

1 2,3<br />

Research Scholar, Pr<strong>of</strong>essor, <strong>YMCA</strong>UST, FARIDABAD<br />

In recent years there has been an appalling rate <strong>of</strong> depletion <strong>of</strong> natural resources due to an ever-increasing number <strong>of</strong> goods<br />

manufactured to satisfy human needs. There is intense pressure from government regulatory acts and consumers on the<br />

manufactures to become environmentally friendly. Green Manufacturing has emerged as a key approach for industries<br />

seeking to become environmentally friendly. This study reviewed various literatures to explore the interrelationships<br />

between environmental issues and manufacturing strategy. This paper identifies various issues involved in enhancing ecoefficiency<br />

<strong>of</strong> a manufacturing system<br />

***<br />

A REVIEW ON JIT IMPLEMENTATION ASPECTS IN SERVICE SECTOR<br />

1 2<br />

Sandeep Phogat , Dr. A. K. Gupta<br />

1<br />

Research Scholar, Department <strong>of</strong> Mechanical Engineering, DCRUST Murthal, Sonepat, Haryana.<br />

2<br />

Associate Pr<strong>of</strong>essor, Department <strong>of</strong> Mechanical Engineering, DCRUST Murthal, Sonepat, Haryana.<br />

1<br />

Email: sandeepphogat1@gmail.com<br />

Just in-time (JIT) the formalized process <strong>of</strong> waste reduction, has achieved a strong foothold in the manufacturing sector. The<br />

service sector, however, has not been as quick to recognize the benefits <strong>of</strong> JIT. Services are much like manufacturing in that<br />

both employ processes that add value to the basic inputs used to create the end product. JIT focuses on the process, not the<br />

product. It can, therefore, be applied to any process within manufacturing or service operations. Cost, quality, patient<br />

satisfaction etc. are some important issues facing service sector. Service sector are searching continuously for innovative<br />

ways to contain costs without sacrificing quality and meet the customer needs. This paper provides a review for applying JIT<br />

processes in the service sector, with the goal <strong>of</strong> investigating how JIT principles can be implemented in services.<br />

Keywords : Just-in-Time (JIT), kanban, quality, cost, service sector.<br />

***<br />

GENETIC ALGORITHMS: A PROBLEM SOLVING APPROACH<br />

1 2<br />

Jyoti , Neetu Gupta<br />

1,2<br />

Asst. Pr<strong>of</strong> -H.A.S Deptt. <strong>YMCA</strong> Univ. <strong>of</strong> Sci. & Tech, Faridabad<br />

Genetic Algorithms (GAs) are adaptive heuristic search algorithm premised on the evolutionary ideas <strong>of</strong> natural selection<br />

and genetic. The basic concept <strong>of</strong> GAs is designed to simulate processes in natural system necessary for evolution,<br />

specifically those that follow the principles first laid down by Charles Darwin <strong>of</strong> survival <strong>of</strong> the fittest. As such they<br />

represent an intelligent exploitation <strong>of</strong> a random search within a defined search space to solve a problem.<br />

First pioneered by John Holland in the 60s, Genetic Algorithms has been widely studied, experimented and applied in many<br />

fields in engineering worlds. Not only does GAs provide an alternative method to solving problem, it consistently<br />

outperforms other traditional methods in most <strong>of</strong> the problems link. Many <strong>of</strong> the real world problems involved finding<br />

optimal parameters, which might prove difficult for traditional methods but ideal for GAs. However, because <strong>of</strong> its<br />

outstanding performance in optimization, GAs has been wrongly regarded as a function optimizer. In fact, there are many<br />

56<br />

Department <strong>of</strong> Mechanical Engineering, <strong>YMCA</strong> <strong>University</strong> <strong>of</strong> <strong>Science</strong> and Technology, Faridabad

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