This paper examines the supply chain structure and internal business processes of Hot Diggity Dogs, a quality-focused mobile food truck operation. It describes how the company extends its supply chain to include raw material oversight and manufacturer quality assurance, then introduces an Efficiency Indicator metric β a daily output-to-input ratio β to measure operational performance. After evaluating one year of data, the paper identifies areas for improvement, including the lack of real-time monitoring and the absence of quality tracking in the metric. An improved process flow chart is proposed to address these gaps and better align efficiency measurement with the company's quality-first brand strategy.
In order to differentiate itself from similar companies, Hot Diggity Dogs has focused on the quality of its products. As a consequence, the company's management concluded that it is not sufficient to have a supplier simply deliver hot dogs, chips, buns, and soda. Instead, the company determined that it needed to control the production process for the most important items on its menu β namely the hot dogs, the chips, and the buns.
Hot Diggity Dogs has therefore expanded its supply chain to include raw materials (meat and potatoes) and supplier manufacturing. The intent is to be involved in quality assurance at these stages: personnel from Hot Diggity Dogs participate in the testing of meat and potatoes to ensure that these raw materials meet the company's quality standards. At the same time, additional testers and quality assurance managers work with manufacturers to ensure that the production processes for hot dogs, buns, and chips β each handled by a separate manufacturer β are conducted according to the same standards.
To maximize supply chain efficiency, Hot Diggity Dogs has taken over the freight and transport of raw materials, as well as the transport of finished products from manufacturers to its stores. In order to ensure maximum freshness, the company has eliminated warehouse storage entirely. As a result, transportation from manufacturer to the Hot Diggity Dogs mobile truck is conducted daily.
The most important part of the entire business is the manufacturing aspect. Several relevant elements define this internal business process. The first, noted above, is the need to ensure the highest quality for all delivered products.
The second concerns the effectiveness of the business. The profitability of this operation is determined not only by the number of hot dogs, buns, or chips that the mobile truck sells, or by the margin between revenues and costs, but by how well the company estimates the number of products it can sell in a given day. To maximize profitability, it is essential to coordinate (1) the daily transport of raw materials and the corresponding production cycle, and (2) the estimated number of products to be sold versus the number manufactured.
This logic rests on the company's core commitment to quality, reflected in the policy of not selling products from one day to the next. These are fresh, high-quality hot dogs, buns, and chips made the same day they are sold. Any items left over at the end of the day must be discarded, making them a direct loss.
The AS-IS process flow chart illustrates the two critical stages of supply chain management where quality must be verified and substandard products returned: the raw materials phase and the manufacturing process. In both phases, quality assurance managers evaluate fundamental characteristics such as the freshness of the meat and the taste of the finished manufactured goods. Contracts with both raw material suppliers and manufacturers specify that anything not meeting the required standard may be returned, and quality assurance managers are instructed to apply a rigorous review in both situations.
Given the operational specificities described above, the most appropriate metric is one that measures output relative to input. This metric β called the Efficiency Indicator β is calculated as a ratio of output to input. The input is defined as the number of hot dogs, buns, soda, and chips received by the mobile truck on a given day. The output is the number of those products actually sold during that day.
The Efficiency Indicator produces values between 0 and 1. A value closer to 1 indicates that the business is being managed efficiently (subject to a caveat discussed below). A value closer to 0 signals that the mobile truck is selling far fewer products than it is ordering, and that the supply chain β whether at the raw materials or manufacturing stage β requires adjustment.
Several points are important regarding implementation. First, the metric is applied on a daily basis; a single Efficiency Indicator value is generated each day. The indicator is designed to create an effective feedback and control mechanism. At the end of each month, the daily indicators are analyzed in aggregate to understand and correct fluctuations. If the monthly average approaches 1, the company can consider increasing its orders, since strong sales are confirmed. This kind of business process monitoring enables data-driven decision-making across the supply chain.
"One year of indicator data reviewed"
"Metric and process limitations identified"
"Enhanced flow chart and waste reduction lessons"
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