{"id":5051,"date":"2015-04-29T07:20:52","date_gmt":"2015-04-29T01:50:52","guid":{"rendered":"http:\/\/ucanalytics.com\/blogs\/?p=5051"},"modified":"2019-06-23T19:42:11","modified_gmt":"2019-06-23T14:12:11","slug":"forecasting-time-series-analysis-manufacturing-case-study-example-part-1","status":"publish","type":"post","link":"https:\/\/ucanalytics.com\/blogs\/forecasting-time-series-analysis-manufacturing-case-study-example-part-1\/","title":{"rendered":"Forecasting &#038; Time Series Analysis &#8211; Manufacturing Case Study Example (Part 1)"},"content":{"rendered":"<hr \/>\n<p>Today we are starting a new case study example series on YOU CANalytics involving forecasting and time series analysis. In this case study example, we will learn about\u00a0time series analysis for a manufacturing operation. Time series analysis and modeling have many business and social applications. It is extensively used to forecast company sales, product demand, stock market trends, agricultural production etc. Before we learn more about forecasting let&#8217;s evaluate our own lives on a time scale:<\/p>\n<h2><span style=\"color: #3366ff;\">Life is a Sine Wave<\/span><\/h2>\n<div id=\"attachment_5034\" style=\"width: 307px\" class=\"wp-caption alignright\"><img aria-describedby=\"caption-attachment-5034\" data-attachment-id=\"5034\" data-permalink=\"https:\/\/ucanalytics.com\/blogs\/forecasting-time-series-analysis-manufacturing-case-study-example-part-1\/time-series-analysis-sine-curve\/\" data-orig-file=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Time-Series-Analysis-Sine-Curve.jpg?fit=480%2C597&amp;ssl=1\" data-orig-size=\"480,597\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Time Series Analysis &#8211; Sine Curve\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Time-Series-Analysis-Sine-Curve.jpg?fit=241%2C300&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Time-Series-Analysis-Sine-Curve.jpg?fit=480%2C597&amp;ssl=1\" decoding=\"async\" loading=\"lazy\" class=\"wp-image-5034\" src=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Time-Series-Analysis-Sine-Curve.jpg?resize=297%2C370\" alt=\"Time Series Analysis - Sine Curve\" width=\"297\" height=\"370\" srcset=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Time-Series-Analysis-Sine-Curve.jpg?w=480&amp;ssl=1 480w, https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Time-Series-Analysis-Sine-Curve.jpg?resize=201%2C250&amp;ssl=1 201w, https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Time-Series-Analysis-Sine-Curve.jpg?resize=241%2C300&amp;ssl=1 241w\" sizes=\"(max-width: 297px) 100vw, 297px\" data-recalc-dims=\"1\" \/><p id=\"caption-attachment-5034\" class=\"wp-caption-text\">Time Series Analysis; Life&#8217;s Sine wave &#8211; by Roopam<\/p><\/div>\n<p>I learnt a valuable lesson in life when I started my doctoral research in physics &amp; nano-technology. I always loved physics, but during my doctoral studies, I was not enjoying the aspect of spending all my time in an isolated lab performing one experiment after another. Doing laboratory research could be extremely lonely. Additionally, I always enjoyed solving more applied and practical problems which I believed was missing in my research work. After getting frustrated for some time I decided to take some career advise from a trusted physicist friend. Before you read further, I must warn you that physicists as a community are usually\u00a0mathematical, and occasionally philosophical. Physicists prefer to create a simple mathematical model about a complicated situation. They slowly add complexity to this simple model to make it fit with reality.\u00a0The following is the key point I discovered during that conversation with my friend.<\/p>\n<p>A simple model for\u00a0life is a sine wave\u00a0&#8211; where we go through ups and downs of moods and circumstances. Like a sine wave, we don&#8217;t spend much of our time either on the peaks or the troughs but most of our\u00a0time is spent climbing up or sliding down. Now keeping these moods and circumstances cycle in mind, a perfect choice of\u00a0career is where one could enjoy both climbs and slides &#8211; as the up and down cycle is inevitable in life.<\/p>\n<p>Keeping the above in mind I prepared a list of\u00a0keywords that I associated with a job that I can truly love to absorb the up and down cycle of life. The following is my list of keywords:<\/p>\n<table style=\"height: 178px;\" border=\"2\" width=\"661\">\n<tbody>\n<tr>\n<td width=\"297\">Practical problem-solving<\/td>\n<td width=\"139\">\u00a0Mathematics<\/td>\n<td width=\"127\">\u00a0Creativity<\/td>\n<\/tr>\n<tr>\n<td width=\"297\">Working with people\u00a0on smart solutions<\/td>\n<td width=\"139\">Scientific investigation<\/td>\n<td width=\"127\">\u00a0Learning every day<\/td>\n<\/tr>\n<tr>\n<td width=\"297\">Seeing\u00a0the\u00a0fruits of my efforts reasonably fast<\/td>\n<td width=\"139\">Producing\u00a0quantifiable business benefits<\/td>\n<td width=\"127\">Knowledge sharing<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>This prompted me to change my career from laboratory research to data science and business consulting.\u00a0I am lucky that my career in data science and business\u00a0analytics for over a decade has allowed me to check mark all these keywords.<\/p>\n<table style=\"border-color: #000000; background-color: #a6deff;\" border=\"3\">\n<tbody>\n<tr>\n<td>Your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work. And the only way to do great work is to love what you do. If you haven\u2019t found it yet, keep looking. Don\u2019t settle. As with all matters of the heart, you\u2019ll know when you find it. And, like any great relationship, it just gets better and better as the year&#8217;s roll on. So keep looking until you find it. Don\u2019t settle. <strong>&#8211; Steve Jobs<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><span style=\"color: #3366ff;\">Interference of Other\u00a0waves<\/span><\/h2>\n<p><img data-attachment-id=\"5078\" data-permalink=\"https:\/\/ucanalytics.com\/blogs\/forecasting-time-series-analysis-manufacturing-case-study-example-part-1\/sine-waves\/\" data-orig-file=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Sine-Waves.jpg?fit=244%2C448&amp;ssl=1\" data-orig-size=\"244,448\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Sine Waves\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Sine-Waves.jpg?fit=163%2C300&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Sine-Waves.jpg?fit=244%2C448&amp;ssl=1\" decoding=\"async\" loading=\"lazy\" class=\" size-full wp-image-5078 alignright\" src=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Sine-Waves.jpg?resize=244%2C448\" alt=\"Sine Waves\" width=\"244\" height=\"448\" srcset=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Sine-Waves.jpg?w=244&amp;ssl=1 244w, https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Sine-Waves.jpg?resize=136%2C250&amp;ssl=1 136w, https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Sine-Waves.jpg?resize=163%2C300&amp;ssl=1 163w\" sizes=\"(max-width: 244px) 100vw, 244px\" data-recalc-dims=\"1\" \/>Now in the true tradition of physics, let me add some complexity to the simple sine wave model for life. We live in a society and interact with many people. Everyone around us has a different shape to their lives&#8217; sine waves. The interference of different regular and predictable sine waves can produce patterns that are highly irregular and could at times be close to randomness.<\/p>\n<p>This is what is displayed in the adjacent chart where the product of four harmonic sine waves is an irregular shape at the bottom. Eventually, our actual\u00a0lives&#8217; function looks more like an irregular pattern produced through the interference of several sine waves.<\/p>\n<table style=\"border-color: #000000; background-color: #a6deff;\" border=\"3\">\n<tbody>\n<tr>\n<td>On some level the above is the fundamental principle behind Fourier series and Fourier transforms; most engineering and physics students will get a cold chill of fear at the mention of Fourier series. However, the basic idea\u00a0is simple that the linear combination of sine and cosine functions (similar to our lives&#8217; sine waves) can produce any complicated patterns including the irregular function we observed and much more complicated Fractals. I find it\u00a0absolutely wonderful that a\u00a0combination of harmonic motions can produce absolutely irregular patterns!<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><span style=\"color: #3366ff;\">Time Series Analysis &#8211; Decomposition<\/span><\/h2>\n<p><a href=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Time-Series-Analysis-Decomposition.jpg\"><img data-attachment-id=\"5117\" data-permalink=\"https:\/\/ucanalytics.com\/blogs\/forecasting-time-series-analysis-manufacturing-case-study-example-part-1\/time-series-analysis-decomposition\/\" data-orig-file=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Time-Series-Analysis-Decomposition.jpg?fit=314%2C448&amp;ssl=1\" data-orig-size=\"314,448\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Time Series Analysis &#8211; Decomposition\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Time-Series-Analysis-Decomposition.jpg?fit=210%2C300&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Time-Series-Analysis-Decomposition.jpg?fit=314%2C448&amp;ssl=1\" decoding=\"async\" loading=\"lazy\" class=\" wp-image-5117 alignright\" src=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Time-Series-Analysis-Decomposition.jpg?resize=280%2C399\" alt=\"Time Series Analysis - Decomposition\" width=\"280\" height=\"399\" srcset=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Time-Series-Analysis-Decomposition.jpg?w=314&amp;ssl=1 314w, https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Time-Series-Analysis-Decomposition.jpg?resize=175%2C250&amp;ssl=1 175w, https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Time-Series-Analysis-Decomposition.jpg?resize=210%2C300&amp;ssl=1 210w\" sizes=\"(max-width: 280px) 100vw, 280px\" data-recalc-dims=\"1\" \/><\/a><\/p>\n<p>Now, let me try to create a connection between what we discussed above with time series analysis and forecasting. The fundamental idea for time series analysis is to decompose the original time series (sales, stock market trends, etc.) into several independent components. Typically, business time series are divided into the following four components:<\/p>\n<ul>\n<li><strong>Trend<\/strong> &#8211; \u00a0overall direction of the series i.e. upwards, downwards etc.<\/li>\n<li><strong>Seasonality<\/strong> &#8211; monthly or quarterly patterns<\/li>\n<li><strong>Cycle<\/strong>\u00a0&#8211; \u00a0long-term business cycles<\/li>\n<li><strong>Irregular remainder <\/strong>&#8211; random noise left after extraction of all the components<strong>\u00a0<\/strong><\/li>\n<\/ul>\n<p>Interference of these components produces the final series.<\/p>\n<p>Now the question is: why bother decomposing the original \/ actual time series into components? The answer: It is much easier to forecast the individual regular patterns produced through decomposition of time series than the actual series. This is similar to reproduction and forecasting the individual sine waves (A, B, C, and D) instead of the final irregular pattern produced through the product of these four sine waves.<\/p>\n<h2><span style=\"color: #3366ff;\">Time Series Analysis &#8211; Manufacturing Case Study Example<\/span><\/h2>\n<p><a href=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Tractor.jpg\"><img data-attachment-id=\"5189\" data-permalink=\"https:\/\/ucanalytics.com\/blogs\/forecasting-time-series-analysis-manufacturing-case-study-example-part-1\/tractor\/\" data-orig-file=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Tractor.jpg?fit=273%2C229&amp;ssl=1\" data-orig-size=\"273,229\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Tractor\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Tractor.jpg?fit=273%2C229&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Tractor.jpg?fit=273%2C229&amp;ssl=1\" decoding=\"async\" loading=\"lazy\" class=\" size-full wp-image-5189 alignright\" src=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Tractor.jpg?resize=273%2C229\" alt=\"Tractor\" width=\"273\" height=\"229\" srcset=\"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Tractor.jpg?w=273&amp;ssl=1 273w, https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/04\/Tractor.jpg?resize=250%2C210&amp;ssl=1 250w\" sizes=\"(max-width: 273px) 100vw, 273px\" data-recalc-dims=\"1\" \/><\/a>PowerHorse, a tractor and farm\u00a0equipment manufacturing company, was established a few years after World War II. The company has shown a consistent growth in its revenue from tractor sales since its inception. However, over the years the company has struggled to keep it&#8217;s inventory and production cost down because of variability in sales and tractor demand. The management at PowerHorse is under enormous pressure from the shareholders and board\u00a0to reduce the production cost. Additionally, they are also interested in understanding the impact of their marketing and farmer connect efforts towards overall sales. In the same effort, they have hired you as a data science and predictive analytics consultant.<\/p>\n<p>You will start your investigation of this problem in the next part of this series using the concept discussed in this article. Eventually, you will develop an ARIMA model to forecast sale \/ demand for next year. Additionally, you will also investigate the impact of marketing program on sales by using an exogenous variable ARIMA model.<\/p>\n<h4><span style=\"color: #3366ff;\">Sign (Sine) off Note<\/span><\/h4>\n<p>Whether you like it or not, life inevitably goes through up and down cycle. A perfect career or relationship doesn&#8217;t make the\u00a0variability disappear from our\u00a0lives but makes us appreciate the swings of life. They\u00a0keep us going in the tough times. They make us realise that variability is beautiful!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Today we are starting a new case study example series on YOU CANalytics involving forecasting and time series analysis. In this case study example, we will learn about\u00a0time series analysis for a manufacturing operation. Time series analysis and modeling have many business and social applications. It is extensively used to forecast company sales, product demand,<\/p>\n<p><a class=\"excerpt-more blog-excerpt\" href=\"https:\/\/ucanalytics.com\/blogs\/forecasting-time-series-analysis-manufacturing-case-study-example-part-1\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":5034,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_newsletter_tier_id":0,"jetpack_publicize_message":"","jetpack_is_tweetstorm":false,"jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false}}},"categories":[74],"tags":[],"jetpack_publicize_connections":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v17.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Forecasting &amp; Time Series Analysis - Manufacturing Case Study Example (Part 1) &ndash; 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ARIMA Models &#8211; Manufacturing Case Study Example","author":"Roopam Upadhyay","date":false,"format":false,"excerpt":"Business forecasting case study example\u00a0is one of the popular case\u00a0studies on YOU CANalytics. Originally, the time series analysis and forecasting for the case study were demonstrated\u00a0on R in a series of articles. One of the readers, Anindya Saha, has replicated this entire analysis in Python. 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You can\u00a0find the previous parts at the following links: Part 1\u00a0: Introduction to time series modeling & forecasting Part 2: Time series decomposition to decipher patterns and trends before forecasting\u2026","rel":"","context":"In &quot;Manufacturing Case Study Example&quot;","block_context":{"text":"Manufacturing Case Study Example","link":"https:\/\/ucanalytics.com\/blogs\/category\/manufacturing-case-study-example\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/ucanalytics.com\/blogs\/wp-content\/uploads\/2015\/06\/photo-1.jpg?fit=412%2C336&ssl=1&resize=350%2C200","width":350,"height":200},"classes":[]},{"id":5213,"url":"https:\/\/ucanalytics.com\/blogs\/time-series-decomposition-manufacturing-case-study-example-part-2\/","url_meta":{"origin":5051,"position":3},"title":"Time Series Decomposition &#8211; Manufacturing Case Study Example (Part 2)","author":"Roopam Upadhyay","date":false,"format":false,"excerpt":"In the previous\u00a0article, we started a new case study on sales forecasting for a tractor and farm\u00a0equipment manufacturing company called PowerHorse. Our final\u00a0goal is\u00a0to forecast tractor sales in the next 36 months. In this article, we will delve deeper into time series decomposition. 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