• Dr. M. RAJESWARI
• C. SOUNDARYA

Lead time refers to the time taken to complete a process. In this study the lead time of production that is the time taken to complete the production process of various products is analyzed. KMeans clustering algorithm is an unsupervised machine learning algorithm used to form groups of data points known as, clusters. The clusters are formed based on similarities in mean values and number of clusters defined by the end user. The dataset used in this study is about logistics. The main aim of this study is to identify the possible levels of re-order periods based on the lead times of production of various products. The KMeans clustering algorithm is used to analyze the lead times of production and is further processed using if-else statements to identify the levels of re-order period.

KMeans, clustering, lead times, re-order period, cluster

"ANALYSING LEAD TIMES USING KMEANS TO IDENTIFY THE RE-ORDER PERIOD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.210-214, April-2021, Available :http://www.jetir.org/papers/JETIRER06050.pdf

"ANALYSING LEAD TIMES USING KMEANS TO IDENTIFY THE RE-ORDER PERIOD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp210-214, April-2021, Available at : http://www.jetir.org/papers/JETIRER06050.pdf