This case study examines Lindsay Electric Company, a distributor of electrical automation and power transmission products, and its implementation of a total quality management (TQM) process. Prompted by a decline in on-time deliveries and errors in package handling for branch operations, the company's manager initiated data collection through its receiving procedure. The paper applies control chart analysis and the Pareto 80:20 principle to identify root causes of wrong destination designations, packaging errors, and significant delays. It concludes with recommendations for separate category-level control charts and additional computations to support more targeted operational improvements.
The paper demonstrates applied case analysis: it identifies a real operational problem, selects appropriate analytical frameworks (control charts and the Pareto principle), and uses findings from those frameworks to propose targeted management strategies. This approach — problem identification, tool selection, analysis, recommendation — is a foundational structure in business and operations management writing.
The paper opens with a brief company overview and problem statement. It then interprets control chart data to assess satisfaction levels across weeks. The third section introduces Pareto analysis as the conceptual lens for prioritizing problem areas. The final section recommends separate control charts per error category and additional computations as corrective steps. The conclusion ties the recommendations back to operational improvement goals.
Lindsay Electric Company is a firm that focuses on the distribution of electrical automation and power transmission products. The company recently began implementing a total quality management (TQM) process, through which the manager initiated data collection regarding its receiving procedure. This process was prompted by a recent decline in the company's on-time deliveries. While an analysis of the purchasing department showed that the data entry person was performing excellently, the firm experienced significant delays in handling packages designated for branch operations, as well as errors in packaging. These issues can be resolved through careful analysis of the error data and by using the findings to develop appropriate strategies for operations management.
Based on the control chart, satisfaction levels are very low. In the first week, the handling of packages had minimal errors and was nearly within the acceptable satisfaction level. However, subsequent weeks were characterized by low levels of satisfaction, which could have a tremendous impact on the firm's operations if the errors continued at a similar rate. The errors could have worsened across other packaging slips due to wrong destination designations and significant delays. Therefore, the company needs to streamline its operations in order to reduce errors and improve productivity.
Pareto analysis is a concept based on the 80:20 principle, which enables organizational departments to prioritize operations in order to improve efficiency, effectiveness, and productivity. The general rule within this principle holds that 20% of processes generate nearly 80% of results ("Pareto Analysis," n.d.). Applying Pareto analysis to this situation enables Lindsay Electric Company to identify the 20% of processes in the packaging and handling department that are responsible for 80% of the results. The company may use this information to pinpoint problem areas contributing to wrong destination designations, considerable delays, and multiple errors. According to O'Farrell (2014), the company may also use this information to diagnose problems related to production satisfaction in service processes.
O'Farrell, R. (2014, August 28). What is a Pareto analysis? Retrieved September 14, 2014, from
"Pareto Analysis." (n.d.). Mind Tools — Essential skills for an excellent career. Retrieved September 14, 2014, from http://www.mindtools.com/pages/article/newTED_01.htm
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