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MORE s Logistics Distribution Department

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    MORE s Logistics Distribution Department



    MORE s Logistics Distribution Department - Transcript


    Institute of management technology ghaziabad
    pgdbm pT 2008 11
    Operations Research
    Under the supervision of
    Dr Mrinalini Shah
    Associate Professor
    Submitted by
    Group 9
    Team Members
    Aakash Saxena 08EM 001
    Ankur Saxena 08EM 011
    Manish Shukla 08EM 021
    Satyendra Singh Rajawat 08EM 038
    T Sudhakar 08EM 058
    Sanjeev Kumar Singh 08EM 059
    Operations research uses analyses and techniques from a variety of branches of Mathematics statistics and other scientific disciplines Certain analytical results arise repeatedly in applications of operations research to industrial and service operations
    The objective of this assignment is to apply wide range of operations research models and tools in analyzing the different situations and optimizing the results in a concise format to take the critical decisions
    Science of OR
    Focuses on impact and implementation
    Improves decision processes
    Helps operations become stronger
    Establishes a disciplined consultant s approach
    Transfers technology to your department so you can take over the project
    The following section explains about the various Operations Research techniques used in the business scenario using Transportation problems and Assignment problem
    OR Analysis of following Aditya Birla Group companies
    Aditya Birla Retail Limited
    Birla Sun Life Distribution Company Limited BSDL
    The Aditya Birla Retail Company Limited Determine the optimal distribution for this company to minimize total shipping cost Evaluate your output
    The retail promise of the Aditya Birla Group is aptly called MORE brand of Aditya Birla Retail Ltd The product offerings include a wide range across fresh fruits vegetables groceries personal care home care general merchandise a basic range of apparels Currently there are over 600 MORE for you supermarkets across the country
    The consumer products industry is cost driven and a lot of it is commodity type in nature so very efficient and effective supply chains are critical for success and the ultimate profitability of the company OR techniques when utilized effectively save costs reduce cash investments and inventory and can even improve top line growth
    Source HYPERLINK http www morestore com www morestore com and from Aditya Birla Retail Company ltd where one of our friend is an employee
    Transportation concerns the movement of products from a source such as a plant factory or work shop to a destination such as a warehouse customer or retail store The goal for any business owner is to minimize transportation costs while also meeting demand for products Transportation costs generally depend upon the distance between the source and the destination the means of transportation chosen and the size and quantity of the product to be shipped
    A programming problem that is concerned with the optimal pattern of the distribution of goods from several points of origin to several different destinations with the specified requirements at each destination is called as a Transportation problem
    In a transportation problem the initial feasible solution can be generated by a number of methods Three of the most commonly methods are
    The North West Corner Rule NWC Rule
    Least Cost Method LCM
    Vogel s Approximation Method VAM
    After developing the initial feasible solution by any one of the above three methods the solution thus obtained has to be tested for optimality Basically 2 methods are widely used
    Stepping Stone Method
    Modified Distribution MODI Method
    Applications
    The transportation problem was often discussed as an application that would benefit from computerization because this type of problem can be formulated quantitatively and because such problems are often complex enough to benefit from using a model Also the allocation of transportation resources among competing uses is of interest to business decision makers in a number of different industries In general real world transportation problems are often important
    Using Model Driven DSS to solve transportation problems can improve profitability
    Mathematical programming provides quantitative bases for management decisions bases with which management manipulates and controls various activities to achieve the optimal outcomes of business problems Management can make better and more effective judgment by use of mathematical programming However it is no substitute for the decision maker s ultimate judgment
    Need for Transportation Model
    Consider the Aditya Birla Retail Company Ltd Determine the optimal distribution for this company to minimize total shipping cost in NCR where more has 43 stores and 5 warehouses for the supply Need for efficient supply to the demand is the key to achieve objective with the help of Transportation Model
    MORE s Logistics Distribution Department have divided NCR into 3 region
    North East NE North East Delhi Ghaziabad Noida
    South Central SC South Central Delhi Faridabad
    West W West Delhi Gurgaon
    Below is the first transportation table with the transportation cost data received by the Distribution department cost are in 100 and for a week period from different warehouses to the 3 regions
    Supply Dummy column D with the demand 160 is being introduced
    W2 14 8 18 160
    W3 26 24 16 90
    W4 22 16 15 70
    W5 11 4 2 90
    Demand 180 120 150
    450 610


    NE SC W D Supply Remarks
    W1 16 20 12 0 200
    W2 14 8 18 0 160
    W3 26 24 16 0 90
    W4 22 16 15 0 70
    W5 11 4 2 0 90
    Demand 180 120 150 160 610

    Computation of Transportation Cost under North West Corner Rule
    NE SC W D Supply
    W1 16 20 12 0 200 20 0
    W2 14 8 18 0 160 60 0
    W3 26 24 16 0 90 0
    W4 22 16 15 0 70 0
    W5 11 4 2 0 90 0
    Dem 180 120 150 160 610
    0 100 90 90
    0 0 0
    Calculation of total price using NWCR
    Warehouse Region Quantity Unit price Total price
    W1 NE 180 16 2880
    W1 SC 20 20 400
    W2 SC 100 8 800
    W2 W 60 18 1080
    W3 W 90 16 1440
    W3 D 0 0 0
    W4 D 70 0 0
    W5 D 90 0 0
    Total 610 6600
    Hence the Total cost by NWCR is Rs 6600
    Calculation of Total Price using Least Common Method
    NE SC W D Supply
    W1 16 20 12 40 0 160 200 40 0
    W2 14 40 8 18 0 160 40 0
    W3 26 90 24 16 0 90 0
    W4 22 50 16 15 20 0 70 50 0
    W5 11 4 2 90 0 90 0
    Demand 180
    140
    90
    0 120
    0 150
    60
    20
    0 160
    0 610

    Calculation of Total Price of LCM
    Warehouse Region Quantity Unit price Total price
    W1 W 40 12 480
    W1 D 160 0 0
    W2 NE 40 14 560
    W2 SC 120 8 960
    W3 NE 90 26 2340
    W4 NE 50 22 1100
    W4 W 20 15 300
    W5 W 90 2 180
    Total 5920
    Hence the Total cost by LCM is Rs 5920
    Vogel s Approximation Method
    NE SC W D Supply P1 P2 P3 P4 P5
    W1 16 20 12 40 0 160 200 140 0 12 12 4 4 4
    W2 14 40 8 18 0 160 40 0 8 8 6 6 4
    W3 26 90 24 16 0 90 0 16


    W4 22 50 16 15 20 0 70 50 0 15 15

    W5 11 4 2 90 0 90 0 2 2 2

    Demand 180 140 0
    120 0 150 60 0 160 70 0 610


    P1
    P2
    P3
    P4
    P5
    P6 3
    3
    3
    2
    2
    2 4
    4
    4
    12 10
    10
    10
    6
    6
    0
    0





    Here Pi is difference between the smallest and next to the smallest costs in each row and column

    Calculation of Total Price of VAM
    From To Amount Unit Cost Route Cost
    W1 NE 140 16 2240
    W3 NE 60 12 720
    W1 SC 40 14 560
    W2 SC 120 8 960
    W5 W 90 2 180
    TOTAL 4660
    Conclusion Compared to NWCR Least cost method the VAM method is giving the low cost transportation hence we can recommend this path
    Test for optimality by MODI Method U V Method
    Assigning value of u v with respect to allocated cells cost and allocating delta to cell 1 4
    REGION U i
    WARE NE SC W DUMMY
    W1 16 12 0 0
    W2 14 8 2
    W3 0 0
    W4 0 0
    W5 2 10
    V j 16 10 12 0
    Assigning cost to the empty cell based on the values of u v
    REGION U i
    WARE W1 W2 W3 DUMMY
    W1 10 0
    W2 10 2 2
    W3 16 10 12 0
    W4 16 10 12 0
    W5 6 0 10 10
    V j 16 10 12 0
    Actual cost of empty cell
    REGION
    WARE W1 W2 W3 DUMMY
    W1 20
    W2 18 0
    W3 26 24 16
    W4 22 16 15
    W5 11 4 0
    Reduction of cost from actual to allocated cost for empty cells
    REGION
    WARE NE SC W DUMMY
    W1 10
    W2 8 2
    W3 10 14 4
    W4 6 6 3
    W5 5 4 0
    Since all the cost obtained are positive therefore the solution will be considered as a optimal solution
    Result of Optimal solution
    Warehouse Region Quantity Unit price Total price
    W1 NE 140 16 2240
    W1 W 60 12 720
    W2 NE 40 14 560
    W2 SC 120 8 960
    W5 W 90 2 180
    Total 450 4660
    Hence we can say that VAM method can be applied for solving this transportation problem and the minimized cost of transportation is Rs 4660
    Case 2 Birla Sun Life Distribution Company Limited BSDL
    BSDL is a premier wealth management company and ranks among the top players in this business segment BSDL offers wealth management and financial planning solutions which are facilitated mainly through twin products mutual funds and insurance
    Sources of data Birla Sun Life Distribution Company Limited BSDL Delhi

    Assignment model is useful to assign organization s salesman to specific territories based on the least incurred cost In the given example there are 4 sales team where each team has 10 member covering 4 territories of Delhi North South East West Cost of operation is on per day basis and the figures are in 100
    Territories
    Sales Team T1 T2 T3 T4
    S1 25 27 28 37
    S2 28 34 29 40
    S3 35 24 32 33
    S4 24 32 25 28
    Minimization of cost
    Step 1 Row reduction Step 2 Column reduction
    T1 T2 T3 T4 T1 T2 T3 T4
    S1 0 2 3 12 S1 0 2 2 8
    S2 0 6 1 12 S2 0 6 0 8
    S3 11 0 8 9 S3 11 0 7 5
    S4 0 8 1 4 S4 0 8 0 0
    From To Minimized Cost Result
    S1 T1 25 This implies the minimum cost


    n





    D
    w
    x

    w
    x
    y



    h
    h
    h
    h
    h

    gd
    gd
    H incurred while assigning territories
    S3 T2 24 using Assignment Model
    S4 T4 28
    TOTAL 106