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Effect of Eliminating Bottlenecks in Operations on

Organizational Performance

Mihika Savani , Akhil Bhargava BBA H Christ University

Abstract:-This study analyses the impact of bottlenecks in production on the organizational performance at a conceptual level. A basic understanding was developed from the previous studies from which Game Simulation analysis was adopt. It was observed that identification through fishbone diagram is an effective way to highlight congestions. Reduction in bottlenecks along different stages of production helps in improving organizational performance in terms of effectiveness and efficiency. The impact of this was found to vary with the time and stage of the reduction and rectification process. Elimination of nonviable activities ensures to eliminate limited capacity which reduces capacity throughout the process subsequently reducing profitability.

I. INTRODUCTION

Bottlenecks in production hamper the organizational effectiveness by increasing the cost of production, the amount of scrap obtained during production, recycling cost, reprocessing cost, etc along with decreasing the efficiency of production in terms of both quality and quantity of the output. Bottlenecks attract improper return on the capital applied. Although it may not be possible to completely eliminate the existing bottlenecks in the production process, it is essential that they are identified and minimized in the right manner and at the right time.

II. LITERATURE REVIEWS

Bottlenecks are present in all stages of production – manufacturing, distribution fulfilment and must be eliminated to optimally utilizing finite processing capabilities and improve material handling systems. Congestions within the existing system include overcrowding at work stations and transportation systems causing bottlenecks. The models in question eliminate the problem of lack of control at the earliest. An operational strategy for the same has been formulated by incorporating a mixed queuing system- a closed and open queuing system, a stochastic model that ensures to maximize the net operating profit by proposing a quantitative decision-making model. The maker of automobiles at low costs with the concept of time-driven-action based costing (TDABC) using the theory of constraints (TOC) has been discussed. Providing adequate information regarding pressing issues like cost control and operations incorporating cost ideas into the data arrangement.Organizations can focus its constrained assets on the primary issue of bottleneck operations to adequately

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to identify the several bottlenecks in the supply chain and its prevention via computer simulation, cross training. Nonvalue activities, minimizing change over time and increasing number of operators will prevent stall in production thereby reducing a stock overstock. In

conclusion, shifting bottlenecks too become a hindrance and must be jettisoned through system and identification of surplus capacity, filling out the same and discovery of material release time .as a result of the new bottlenecks scheduling.

[image:2.595.50.545.183.453.2]

III. GAME SIMULATIONANALYSIS

Table 1:Production Process for Ceramic Tableware

[image:2.595.55.540.488.702.2]
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[image:3.595.47.550.78.318.2] [image:3.595.39.547.335.762.2]

Table 3: Process 1 as Bottleneck as Continued from the Previous Table

Table 4: Process 2 as Bottleneck

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[image:4.595.44.556.77.238.2] [image:4.595.43.553.248.457.2]

Table 6: Process 2 as Bottleneck with Differential Scrap Rates

Table 7: Process 2 as Bottleneck with Differential Scrap Rates Continued from the Previous Table

[image:4.595.37.561.490.749.2]
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IV. FINDINGS AND CONCLUSION

To conclude, the production process can be improved by identifying and studying the loss incurred during the production process due to the existing production bottlenecks. The bottlenecks can be rectified using the following principles:

 Prior inspection

 Improvement of the bottleneck process  Improving the process after the bottleneck  Improving the process before the bottleneck

Identified through the Game simulation analysis adopted from the previous research studies.

This will ensure proper quality output at right measures from the production process.

REFERENCE

[1]. Pourbabai, B. (1993). An Operational Strategy for Throughput Maximization and Bottleneck Control in an Assembly Line System: By Selection of the Processing Rates. The Journal of the Operational Research Society, 44(10), 1003-1011. doi:10.2307/2584235 [2]. Huang, S., Chen, H., Chiu, A., & Chen, C. (2014). The

application of the theory of constraints and activity-based costing to business excellence: The case of automotive electronics manufacture firms. Total Quality Management & Business Excellence, 25(5-6), 532.

Retrieved from

https://search.proquest.com/docview/1502747069?acco untid=38885

[3]. Dar-el, E., Herer, Y. T., &Masin, M. (1999). CONWIP-based production lines with multiple bottlenecks: Performance and design implications. IIE Transactions, 31(2), 99-111. Retrieved from https://search.proquest.com/docview/219686704?accou ntid=38885

[4]. Powell, S. G., &Pyke, D. F. (1996). Allocation of buffers to serial production lines with bottlenecks. IIE Transactions, 28(1), 18. Retrieved from https://search.proquest.com/docview/219689477?accou ntid=38885

[5]. Vegnerová, P. (2009). The simulation utilization for the bottleneck identification.WspólczesnaEkonomia, 3(4),

131-n/a. Retrieved from

https://search.proquest.com/docview/1097516617?acco untid=38885

[6]. Vegnerová, P. (2009). The simulation utilization for the bottleneck identification. WspólczesnaEkonomia, 3(4),

131-n/a. Retrieved from

https://search.proquest.com/docview/1097516617?acco untid=38885

[7]. Biglaiser, G., &DeGraba, P. (2001). Downstream Integration by a Bottleneck Input Supplier Whose Regulated Wholesale Prices Are above Costs. The RAND Journal of Economics, 32(2), 302-315. Retrieved from http://www.jstor.org/stable/2696411 [8]. Conway, R., Maxwell, W., McClain, J., & Thomas, L.

(1988). The Role of Work-In-Process Inventory in

Serial Production Lines. Operations Research, 36(2),

229-241. Retrieved from

http://www.jstor.org/stable/171278

References

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