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What is the Theory Of Constraints This Scientific principles to manage an enterprise.. |
Retailing 360 : Facilitating FreshnessArvind Singh Rana – Senior Consultant, Vector Consulting Group, explains how application of the Theory of Constraints in replenishment solutions can help to improve the freshness of products With growing consumer awareness, companies in the perishable goods industry are finding it increasingly difficult to cope with the problem of diminishing freshness of stocks at the Point Of Sale (POS). Companies in the pharmaceutical, and food and beverage sectors are facing significant bottom-line erosion due to the heavy discounting they must periodically resort to, in order to get rid of near-expiry stocks, as well as writing-off expired stocks. Through this article, we will evaluate the impact of freshness-related problems on a company’s business, the root causes of these problems and the reason why actions taken by most companies fail to solve them. More importantly, we will also determine whether there is a one-stop solution to this omnipresent challenge. Why Old Isn’t Always Gold Loss of Sale/Customers: A 2010 study by Asian Food Information Centre (AFIC) found that 67 percent of Indian consumers actively consider the expiry date when purchasing perishable goods. It is, therefore, very likely that when the stocks on shelf are nearing their expiry date, the customer will either postpone buying the product or switch to a rival brand. If this is experienced multiple times, the company stands a high change of losing the customer forever. Loss of Profit: As the stock ages beyond the internal threshold determined by the company, actions are taken to push the sales of these products. Distributors and retailers fear being burdened by large volumes of nearexpiry stocks and hence, purchase stocks only at a highly discount rate. This, in turn, erodes the company’s chances of gaining profit. The stocks that could not be pushed need to be written-off, thereby contributing to a further erosion of profitability. Impediment to the Launch of New Products: As forecasting errors are higher in the case of new product launches, there is a higher likelihood of distributors/retailers ending up with large stocks of products that fail to connect with, and therefore generate interest in, the target audience. That is why, retailers are much more cautious when accepting stocks of new products, which, in turn, slows down the launch. This is why a number of products are deemed as ‘failures’ even before they are adequately tested at the POS. The write-offs due to obsolescence in the industry vary from one percent to five percent of the Net Sales Value. Add to this the impact of discounting and the cost of delay in launching new products, and the resultant profit erosion becomes a significant value. Conservative estimates peg the erosion at about 10 percent of sales for most companies. Hence, it is increasingly important for manufacturers to examine the roots of the problem. The Freshness Fact File
Companies tend to attribute the loss of freshness to the latter, pointing fingers at various factors such as brand pull, seller motivation, consumer preference etc. However, the Vector Consulting Group has found (through its own experience) that if the first part of the problem is taken care of and there is a non-zero sale rate for the product, the issue of freshness can be resolved. A Closer Look The time taken for a SKU to reach the POS is sum of the transit time and the waiting time at the various stocking locations. The waiting time is equivalent to the number of days of inventory in the supply chain for that SKU. And so, the question that arises here is that if high inventory in the supply chain is leading to a loss of freshness, why are companies not controlling the inventory? Today, the industry is snared in an age-old conflict between freshness and availability. If players try to improve freshness (by closely monitoring inventory ageing and rationing stocks), there is an increase in stock outs leading to loss of sale. If they try to increase availability, there is a need for greater safety stocks, leading to loss of freshness. And so, there is a constant battle between the supply chain management team (fighting for freshness) and sales team (fighting for availability). The result is a dynamic compromise. Problem Magnifiers Scale: Dabur in India, for example, has close to 50 Cost and Freight Agents (CFA) and more than 750 distributors, each supplying to more than 100 retailers. Multiply the above with the number of SKU’s (~100) and the outcome is an intimidating 7.5 million decision points every single day. This makes it very difficult to have forecasting and logistics planning at an SKU-level granularity. Growing awareness: Owing to higher literacy rates and initiatives such as ‘Jago Grahak Jago’, retailers and consumers prefer to buy the freshest stocks available, unless they are provided substantial incentives to purchase otherwise. This makes purging out old stocks very difficult. Inertia to pull back: Since pull back means negative primary sale, there is a heavy inertia towards the same. Thus companies are unable to correct the mismatch of stocks lower down in the supply chain before it is too late. Treating Only the Symptoms Increase shelf life: This step is often justified with statements such as “Since all players are suffering from this problem, clearly the current shelf life is insufficient”. A number of R&D projects aimed at improving packaging quality, improving product formulation, and optimising process parameters are a constant in the industry. Improving forecast accuracy: A low level of forecasting accuracy is credited as the biggest enemy of freshness. And so, immense efforts are put to increase this accuracy by using sophisticated algorithms with extensive input variables. Disintegrated supply chain: The larger the geography a company is catering to from one source, the greater are the chances of damages due to uselessness. That is why, most big players have around 10–20 manufacturing facilities spread across the country. While doing so reduces obsolescence, it also takes away the benefits of economies of scale. A Breath of Fresh Air Drawing on the first principles (stated above), the management of the supply chain needs redefined such that the dual objectives of freshness and availability are achieved. The question here is: how much inventory is required to keep at the various stocking locations (warehouses)? The answer lies in understanding why inventory is required at all. Inventory helps to cater to the peak demand during the time taken to obtain replenishment from the source warehouse. If the availability of all SKU’s at the source location can be ensured, the replenishment lead time is only equal to the transportation lead time (transportation batching plus transit time). Therefore, to reduce inventory at retailer, availability at distributor, which requires availability at CFA, must be ensured, which in turn will call for availability at the PWH. However, at present, the PWH is only used as a transit warehouse and with stocks being pushed out immediately (as per conventional wisdom, stocks should be pushed to the POS). The first paradigm shift from conventional supply chain management involves plant warehouses holding most of the inventory, as against the conventional approach of pushing the inventory. The forecast accuracy increases as we move away from POS (cancellation of statistical fluctuation owing to aggregation). Thus, in the new structure, maximum inventory is held at point of best forecast accuracy, which is the plant warehouse. Now, the inventory at the plant warehouse has to protect against the production lead time. The latter can be broken down as shown below:
The following steps bring down the production lead time, and thereby the inventory required, at PWH: Currently, production receives a monthly forecast; hence, the Order Lead Time (OLT) is one month. By providing the production planning with visibility of plant warehouse on a daily basis, OLT is brought down to one day. By implementing a TOC replenishment solution with the suppliers, the RM/PM availability increases to near 100 percent (with reduction in inventory). Thus RM/PM lead time becomes zero. As most plants are measured on productivity measures (for example, tonne/day), there is a tendency to run bigger batches. This elongates the campaign cycle, increasing production waiting time. By reducing the visibility, the production waiting is reduced by half without increasing the setups. Arvind Singh Rana is Senior Consultant with Vector Consulting Group. The group has worked with retail chains, FMCG, fashion products and auto after-market companies to improve their overall profitability through supply-chain effectiveness. Arvind can be reached at arvind@vectorconsulting.in.
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