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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 />

STUDY OF MANUAL MATERIAL HANDLING TASKS USING<br />

TAGUCHI TECHNIQUE<br />

Jaswinder Singh 1 , P Kalra 2 , R S Walia 3<br />

1<br />

Research Scholar, Department <strong>of</strong> Production Engineering, PEC <strong>University</strong> <strong>of</strong> <strong>Technology</strong>, Chandigarh, UT<br />

2 Pr<strong>of</strong>essor, Department <strong>of</strong> Production Engineering, PEC <strong>University</strong> <strong>of</strong> <strong>Technology</strong>, Chandigarh, UT<br />

2<br />

Associate Pr<strong>of</strong>essor, Department <strong>of</strong> Production Engineering, PEC <strong>University</strong> <strong>of</strong> <strong>Technology</strong>, Chandigarh, UT<br />

e-mail:: waliaravinder@yahoo.com<br />

Abstract<br />

Measurement <strong>of</strong> energy expenditure <strong>of</strong> the worker during manual material handling (MMH) task depends upon<br />

various parameters that can be used to assign the task to particular worker. In this study three important<br />

variables related to MMH task i.e. Worker’s Age, Work Time Duration and Work Place Temperature at three<br />

different levels were analyzed using Taguchi L9 orthogonal array. One response i.e. worker’s Heart Rate (HR)<br />

during the each trail <strong>of</strong> manual material handling (MMH) task was measured. For the optimization <strong>of</strong> response<br />

the signal-to-noise (S/N) ratio was obtain for each trial. The analysis <strong>of</strong> S/N ratio and raw data was done by<br />

using analysis <strong>of</strong> variance (ANOVA) to identify the optimal condition in which response was optimized. Results<br />

shows that the Worker Age was found to be the most significant factor and the Work Time Duration was found to<br />

be least significant factor for heart rate response. The percentage contributions <strong>of</strong> Worker Age, Work Time<br />

Duration and Workplace Temperature were 73.51%, 3.32% and 18.46% respectively for HR.<br />

Keywords: Signal-to-Noise ratio (S/N), Heart Rate (HR), Manual Material Handling (MMH), Taguchi technique<br />

1. Introduction<br />

Manual Material Handling (MMH) is a general process in all type <strong>of</strong> manufacturing industries under which the<br />

workers are working in different types <strong>of</strong> manufacturing tasks like lifting or lowering, carrying and holding etc.<br />

During the Manual Material Handling task the risk factors leading to musculoskeletal disorders (MSDs) are<br />

always present. Physiological measures for assessing physical stresses are necessary for measuring the<br />

expenditure <strong>of</strong> worker’s energy during the task. Two physiological measures for approximating the physical<br />

stress on the worker are used in experimental research are volume <strong>of</strong> Oxygen Intake (VO2) and Heart Rate (HR).<br />

Measurement <strong>of</strong> oxygen intake allows a reliable assessment <strong>of</strong> physical workload for activities more than five<br />

minutes are marked by Astrand (<strong>19</strong>77). By calculation the oxygen content <strong>of</strong> inhaled air at different conditions<br />

<strong>of</strong> the task a reliable estimate <strong>of</strong> energy consumption in different trails can be compared. This assessment method<br />

provides a very reliable means for assessing physical stress and can be applied to a range <strong>of</strong> physical activities. A<br />

second physiological assessment method arises from the measure <strong>of</strong> heart rate during MMH. The relationship<br />

between the two responses is roughly linear (Corlett, <strong>19</strong>86). This linear relationship appears to break down<br />

during very high range <strong>of</strong> parameters. Several studies provide examples <strong>of</strong> using heart rate and oxygen intake to<br />

assess MMH work as Wu (<strong>19</strong>98) examined the differences between symmetrical and asymmetrical MMH lifting<br />

tasks using heart rate data, VO2 and rating <strong>of</strong> perceived exertion (RPE) and concluded that the maximum<br />

acceptable weight <strong>of</strong> lift (MAWL) were significantly lower for asymmetric lifting than for symmetric lifting in<br />

the sagittal plane. The MAWL decreased with an increase in the angle <strong>of</strong> asymmetry, however, the Heart<br />

Rate, Oxygen Intake and RPE remained unchanged, lifting frequency had no significant effect on the percentage<br />

decrease in MAWL from the sagittal plane values and Both the physiological costs (Heart Rate and Oxygen<br />

Intake) and rating <strong>of</strong> perceived exertion increased with an increase in lifting frequency though maximum<br />

acceptable weight <strong>of</strong> lift decreased. Wright (<strong>19</strong>99) concluded that maximum acceptable weight carrying for twohanded<br />

tasks was significantly influenced by age for males as the younger males carried 26% more weight than<br />

older males but the females performing two-handed carrying tasks exhibited no age effect. On the other hand<br />

one-handed carrying tasks were not affected either by age or frequency for both males and females. Marras<br />

(<strong>20</strong>05) concluded in his research by taking factors <strong>of</strong> asymmetric lift, different loads and different frequencies in<br />

eight hour shift that spine load increased after the first two hours <strong>of</strong> lifting exposure regardless <strong>of</strong> lifting<br />

frequency. Maiti (<strong>20</strong>06) found the effect <strong>of</strong> lifting parameters and their interactions on heart rate and also<br />

remarked that the interaction effects between different lifting parameters should be considered in addition to the<br />

effects <strong>of</strong> individual lifting parameters. Wu (<strong>20</strong>06) examined the effects <strong>of</strong> container width, carrying rate, and<br />

distance on the maximum acceptable weight carried (MAWC) by analyze the heart rate and rating <strong>of</strong> perceived<br />

exertion (RPE) to a 1-hour work period <strong>of</strong> carrying tasks. Ciriello (<strong>20</strong>07) studied the effect <strong>of</strong> high lifting<br />

frequency on maximum acceptable weights <strong>of</strong> lifting. Sean (<strong>20</strong>07) in a study on material handling capacity in<br />

different postures examined that heart rate was not significantly affected by posture, but was increased in<br />

asymmetric conditions, lifting/lowering and to/from the high shelf .Oxygen intake was increased by working<br />

posture, lifting/lowering asymmetrically, and when performing the task to the high shelf. Fredericks (<strong>20</strong>08)<br />

690

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