Bookshelf in Bengaluru - colorky.info
Jan 9, Approaching their expiration dates or because they are no longer at their Some is given away to food banks, some sold to salvage stores, and the rest Canned foods and shelf-stable goods like salad dressings, Labuza adds, can . Having recently moved to New York City from Bangalore, India, for her. Sep 28, A beginners to shelf space optimization in retail using linear programming. The objective function to be maximized is the Total Sales of all merchandize. . Dating Sites: Linear Optimization is also used by online dating sites like solves business problems at Bangalore office of an Analytics organization. Aug 24, Real Estate. Where to find antique furniture in Bangalore Gramophone players dating to , a copy of The Discovery of India signed by.
This nameless shop stands out only due to its electric blue walls, peeling plaster, and its array of items that allure a passerby to come in and take a look. Among the many things that people pawned for money were precious personal possessions, including priceless heirlooms.
A young Mahaveer began to take notice of some of the vintage items and took a serious interest in collecting and preserving them. After his father passed away, Mahaveer built up the business and concentrated on buying and selling antiques.
His shop is now filled with the little marvels he has acquired from dealers shutting shop, old houses being demolished, and people who have wanted to sell things in their houses. Nanjappa Circle, Shantinagar Dhakshini Antiques Established more than 30 years ago, Dhakshini Antiques has every vintage piece of furniture you can think of. Started by Sudha and Chandru, it is now in the hands of their daughter Preetha Chandrasekaran.
Inspired by their love for everything classic and traditional, the family would pick up South Indian vintage pieces during their trips. Today, the shop does a lot of restoration work with the help of skilled craftsmen. Preetha also designs furniture and show pieces in the traditional mould but with a contemporary touch in terms of utility.
She uses a lot of reclaimed wood and metal and retains the original shape and texture of the piece to the fullest extent possible. It bursts at its seams with antique furniture, including Georgian high chairs and Victorian sofas. Chairs, book cases, tables etc.
Amar Mangharam is the man behind the shop, which he started with his own, burgeoning personal collection of vintage items.
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Thousands of new items are introduced at retail every year. Let us understand the problem.
Where to find antique furniture in Bangalore - The Hindu
Lifts Table Let us assume a retail store with 3 racks, Rack 1, Rack2 and Rack3 with 3, 3 and 4 shelves as shown in the below table. We have to stock products of 3 companies Unilever, Godrej and Dabur. Unilever, Godrej and Dabur has 3, 3 and 2 products respectively. Objective Function The objective function to be maximized is the Total Sales of all merchandize. Constraints The constraints used here are: One Shelf can have at max one product of any company. This is given in the order of the products as shown in above fig.
The maximum occurrences of the products are as below. This boils down to the conditions that Product 1 from Unilever cannot be marketed more than once. Similarly for the other products the constraints apply.
There can be several more constraints applied as per the business understanding of a store and merchandizing best practices. However for this learning problem, this would suffice. Linear Optimization using Excel Constraints can be taken care using the above two tables in excel.
A Beginners guide to Shelf Space Optimization using Linear Programming
Let us go to the Solver in Excel. Set Objective The Objective function is given by the sumproduct of the lift and the decision variable matrix.
Select the cell in spreadsheet which indicates this. We have to maximize the Profit. Decision variable is the matrix of same size as the lift. Select all cells representing it.
A Beginner’s guide to Shelf Space Optimization using Linear Programming
For constraints select the cells that represent the Sum of rows and Sum of columns in the decision variable matrix. Add another constraint to make the decision variables binary integers. Select Simplex LP and run. The objective function along with the constraints is solved and the maximum sales obtained is The decision variable matrix obtained is shown below: