JOURNAL ARTICLE

Dockomo Heavy Machinery Equipment Ltd.: Spare Parts Supply Chain Management

Arunachalam NarayananSridhar Seshadri

Year: 2018 Journal:   Council of Supply Chain Management Professionals Cases Pages: 1-19   Publisher: Emerald Publishing Limited

Abstract

This case was developed solely for the purpose of classroom discussion. Some details of the case, including names of the companies, have been disguised. This case is not intended to serve as endorsements, sources of academic or business data, or illustrations of effective or ineffective management of the personnel or company. Only when the custodial staff showed up at his office door did Vinod Mehra realize that it was already 3 am. Vinod is the VP of Supply Chain for Dockomo Heavy Machinery Equipment Limited. He had spent the entire night analyzing the data from the spare parts division in Pune, India. It was April 15 and he had just two weeks to go before the annual review of the company. The spare parts division's growth at Dockomo has slowed down to about 10 percent annually when compared to the growth rate of 20 percent an nually over the previous years. Their cancelled orders stood at a staggering 8 percent due to parts unavailability, but at the same time the inventory in the system was $6 million higher than the previous year. Vinod was unsure of the response he would receive from the board of directors, since the inventory level increased along with the number of cancelled orders. At the meeting, the board was considerate, but Vinod was asked to conduct an analysis of the shortcomings and prepare a report on the leading causes for the unavailability of parts to the customers. He was also asked to prepare a report on the approach to be followed to fix these problems by the next quarterly meeting. Vinod was already aware of many issues which existed in the supply chain, but he had to go through a complete analysis to gain a clearer understanding of the shortcomings in their distribution processes.

Keywords:
Spare part Unavailability Business Operations management Supply chain Marketing Engineering

Metrics

2
Cited By
0.22
FWCI (Field Weighted Citation Impact)
3
Refs
0.62
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Forecasting Techniques and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Agricultural Economics and Practices
Life Sciences →  Agricultural and Biological Sciences →  General Agricultural and Biological Sciences
Management and Optimization Techniques
Social Sciences →  Business, Management and Accounting →  Strategy and Management

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