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Project on: Inventory Management using Linear Programming in Hotel

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1 Project on: Inventory Management using Linear Programming in Hotel
submitted in partial fulfillment for Masters of Science By: Heral Kevrani I10MA045 Under Supervision of Prof. Nita H. Shah Professor, Gujarat University, Ahmedabad, Gujarat Dr. Ranjan Kumar Jana Assistant Professor, S.V.N.I.T. Surat, Gujarat

2 Overview of the Talk Inventory System Inventory in Hotel Management
Model for the Rooms Models for the Restaurant Proposed Model Change in Single Constraint Change in pair of Constraints Conclusion

3 Inventory System The word “inventory” says that any kind of resource that has economic value and is maintained to fulfill the present and future needs of the organization. Two types of decisions need to be made are: How much should be added to inventory? When should the inventory be replenished? It means those time and quantity elements are the variables which affect all the costs.

4 Inventory in Hotel Management
Hotels are constantly working to offer the best customer experience and service. They need proper systems in place to manage the items necessary for efficient service at affordable charges.

5 Problem Statement There are mainly two problems of the hotel which have to manage. The number of rooms. The inventories of the restaurant.

6 Rooms Electronic Inventory Tube-lights Bulbs Fans Hair dryer
Television Refrigerator A.C. Bed-linen Bed-sheets Towel Napkins Curtains Bed-mattress Inventory Wooden A set of table-chair cupboard Dressing table A small table Doors A set of bed A sofa set Toiletries Shampoo Soap Conditioner Shower Gel Shower Cap Toilet-paper A bottle of water

7 Utensils & Electronics
Restaurant Utensils & Electronics Refrigerator Oven Grinder, Blender, Mixer Utensils Grocery Oil Butter & Cheese Flour Rice & Beans Sauces Vegetable & Fruits Spices & Drinks Water bottle Cold drinks Buttermilk, Ice-cream Spices Desserts Dinnerware Serving crockery Food crockery Glassware Add-ins Napkin & Tablecloth

8 Assumptions of Models The hotel is:
at a tourist place. a non-alcoholic pure vegetarian. All the needed equipment like: table, chairs, curtains, decorative items, reservation desk, electronic items, etc are available in the restaurant. Known budget for the different inventories of the rooms. The manager had already decided types and the amount of inventories required.

9 Following notations are used for further models:

10

11

12 Model for the Rooms The hotel has 3 kinds of rooms:
Non-A.C. Rooms A.C. Rooms Deluxe rooms The model had been created using the data of from the Federation of Hotel & Restaurant Association of India, (FH&RA). This model has 68 rooms and approximately 46 rooms were occupied every day.

13 Model for the Rooms

14 Solution of Model for the Rooms
Solving this problem in MATLAB, we get The profit is Rs. 2,36,58,900 for the first year of the Hotel. So, the gross revenue is: 2,36,58,900 – [1,04,75,000+20,60,000+11,70,500] =99,53,400

15 Analysis of next four year data

16 Models for Restaurant There will be four models for the restaurant of inventory which are as following: Model 2: Utensils & Electronic Inventory of the Kitchen Model 3: Grocery of the Kitchen Model 4: Drinks and Spices Model 5: Dinnerware

17 Model 2: Utensils & Electronic Inventory of the Kitchen
Refrigerator Utensils Grinder & Mixer First Constraint Second Constraint

18 Model 3: Grocery of the Kitchen
Second Constraint First Constraint Third Constraint

19 Model 3: Grocery of the Kitchen

20 Model 4: Drinks and Spices

21 Model 5: Dinnerware

22 Model 5: Dinnerware

23 New model of Restaurant
With these models overall optimization of the restaurant inventory is not attended. Therefore, we need to take-up single model to attain the objective with all the constraints and minimum number of variables.

24 One should simplify the variables to be merged and declare them as new variables of the restaurant of the hotel: Number of Refrigerators + Ovens + Grinders, Mixers and Blenders require in the kitchen Number of Kg of Flour + Rice and beans require for each month Number of Kg of sauces + Spices and Salt require for each month Number of Bottles/cups/glasses of Water + Cold- drink (200 ml) + Buttermilk, Ice-cream require for a month Number of sets of Add-ins + Napkins and Tablecloths require in the Restaurant Number of sets of Glassware + Food Crockery + Serving Crockery require in each month

25 Now, the new notations for the restaurant inventories are:

26

27 Model 2: Utensils & Electronic Inventory of the Kitchen

28 Model 3: Grocery of the Kitchen

29 Model 4: Drinks and Spices

30 Model 4: Drinks and Spices

31 Model 5: Dinnerware

32 Model 5: Dinnerware

33

34 When some of the constraints have the same combination of variables twice, one should consider only one of them. In this new model, all the variables are covered in these constraints. Finally, the new model will be:

35

36 The minimum cost of this new model is Rs. 7, 74,131.67 per month.

37 Additional Constraints of new model

38 Solution for the new model
It is clear that additional constraint in new model can’t make any difference in the result.

39 Decreasing the constraint’s Budget by 20%

40 Increasing the constraint’s Budget by 20%

41 Decreasing the constraint’s Budget by 40%

42 Increasing the constraint’s Budget by 40%

43 Decreasing the budget at the rate of 20% in a pair of constraints

44 Increasing the budget at the rate of 20% in a pair of constraints

45 Decreasing the budget at the rate of 40% in a pair of constraints

46 Increasing the budget at the rate of 40% in a pair of constraints

47 Conclusion Responsible for decrease the cost of the new model
The cost will decrease the most when first constraint is involved in it. Whenever first constraint will decrease, the cost will decrease (for single constraint). Whenever first constraint is decreasing with any other constraint the cost will decrease, except for the one case (pair of constraints). In all the analysis, it comes to know that the third constraint is most sensitive. It means that whenever a large change (more than 20 %) in third constraint is happening, the uncertainty of its output increases.

48 Conclusion Responsible for increase the cost of the new model
Whenever a fifth constraint is increasing its cost by 20 % and the rate of other constraint is decreasing than the cost of the objective function will always increase. The fifth constraint have spices and drinks as decision variables.

49 Conclusion Either first or sixth constraint increases the cost by the rate of 40% . First and sixth constraint includes electronic inventory, utensils, spices & sauces and desserts.

50 References Indian Hotel Industry Survey , Federation of Hotel & Restaurant Associations of India, 2012. J. K. Sharma, Operation Research Theory and Application (2nd Edition), Macmillian India Ltd, 2003. Naddor, E. Inventory System, Robert E. Krieger Publishing Co., Malabar, Florida, 1982. Natarajan A.M., Balasubramani P., Operation Research, Pearson Education India, 2006. N.H.Shah, R.M. Gor and H.Soni, Operation Research, Prentice-hall of India Private Limited, New Delhi, 2008. Panneerselvam R., Operations Research, (2nd Edition), PHI Learning Private Limited, Noida, 2006. Pizam, A. International Encyclopedia of Hospitality Management, Second Edition, Elsevier Ltd., Burlington, 2010. e-reference:

51 THANK YOU


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