Download JNTUA MBA 2018 May-June Supply 1st Sem 17E00106 Management Information Systems Question Paper

Download JNTUA (JNTU Anantapur) MBA (Master of Business Administration) 2018 May-June Supplementary 1st Sem 17E00106 Management Information Systems Previous Question Paper

Code: 17E00106

MBA & MBA (Finance) I Semester Supplementary Examinations June/July 2018
MANAGEMENT INFORMATION SYSTEMS
(For students admitted in 2017 only)

Time: 3 hours Max. Marks: 60

SECTION ? A
(Answer the following: (05 X 10 = 50 Marks)

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1 Discuss about need and structure of MIS.
OR
2 Explain the challenges of managing MIS.

3 Discuss about data models.
OR
4 Explain features of data mining in detail.

5 Explain about role of MIS in decision making.
OR
6 Explain the components of SCM and DSS.

7 Write different phases of SDLC with proper explanation.
OR
8 Explain about product and process based MIS evaluation.

9 Discuss about IS security technologies.
OR
10 Explain about disaster recovery plan in detail.

SECTION ? B
(Compulsory question, 01 X 10 = 10 Marks)
11 Case Study:
Will "Profitable To Promise" be Viable In Retail Industry??
Retail order management is a relatively new concept. Till late nineties, majority of the retailers
depended on supermarkets for selling various goods. Since, there was only one channel of selling,
most of the retailers managed their IT needs by having some home grown applications which were
able to perform very basic processes. Proliferation of computer technology and arrival of internet
have completely transformed retail industry in the last decade. Development of multi-channel
commerce, has helped retailers to sell their goods via internet, call centers, mobiles etc. Number of
orders delivered to customers' home is ever increasing and now almost all online retailers have home
delivery option.
All of these changes have increased retail supply chain complexity many fold. Retailers need to
handle their sales orders smartly in order to stay competitive and profitable. When customers asked
for future delivery dates, retailers mulled over the use of future inventory to satisfy future demand.
This, in turn forced retailers to use an order management system with robust order promising
features.
Contd. in page 2



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Code: 17E00106

MBA & MBA (Finance) I Semester Supplementary Examinations June/July 2018
MANAGEMENT INFORMATION SYSTEMS
(For students admitted in 2017 only)

Time: 3 hours Max. Marks: 60

SECTION ? A
(Answer the following: (05 X 10 = 50 Marks)

*****
1 Discuss about need and structure of MIS.
OR
2 Explain the challenges of managing MIS.

3 Discuss about data models.
OR
4 Explain features of data mining in detail.

5 Explain about role of MIS in decision making.
OR
6 Explain the components of SCM and DSS.

7 Write different phases of SDLC with proper explanation.
OR
8 Explain about product and process based MIS evaluation.

9 Discuss about IS security technologies.
OR
10 Explain about disaster recovery plan in detail.

SECTION ? B
(Compulsory question, 01 X 10 = 10 Marks)
11 Case Study:
Will "Profitable To Promise" be Viable In Retail Industry??
Retail order management is a relatively new concept. Till late nineties, majority of the retailers
depended on supermarkets for selling various goods. Since, there was only one channel of selling,
most of the retailers managed their IT needs by having some home grown applications which were
able to perform very basic processes. Proliferation of computer technology and arrival of internet
have completely transformed retail industry in the last decade. Development of multi-channel
commerce, has helped retailers to sell their goods via internet, call centers, mobiles etc. Number of
orders delivered to customers' home is ever increasing and now almost all online retailers have home
delivery option.
All of these changes have increased retail supply chain complexity many fold. Retailers need to
handle their sales orders smartly in order to stay competitive and profitable. When customers asked
for future delivery dates, retailers mulled over the use of future inventory to satisfy future demand.
This, in turn forced retailers to use an order management system with robust order promising
features.
Contd. in page 2



Page 1 of 2
Code: 17E00106

To fulfill these and many other supply chain related needs, retailers are currently importing
supply chain concepts from industries like manufacturing and automobile in which supply chain
management is an established practice. For example, to manage complex order promising process,
ATP (Available to Promise) concept has been adapted with some modifications. In manufacturing
industry, ATP is used to calculate exact delivery date for customer order considering constraints of
operation capacity & materials and various supply and delivery side lead times. In retail, ATP is used
alongside future incoming inventory into the warehouse to commit delivery date to the customer.
Manufacturing industry is now moving from ATP to PTP (Profitable to Promise). The question is
- whether retail industry will also use profitable to promise concept to optimize their profit, some years
down the line. PTP considers the impact of value chain decisions on the bottom line. Every actual and
potential customer order may have a different margin associated with it. PTP determines which
customer order should be taken in order to maximize profit. In constrained environments where
demand exceeds total supply, PTP is the key to managing the balance between profit and customer
service. Profitable to Promise (PTP) compares the expected profit of the order being taken today to
the profit you might realize in the future by not taking the order. Thus, you may have to forgo current
order so that inventory is available to satisfy another customer order with a higher margin. As it can
be seen, to implement Profitable to Promise concept business operation needs to meet following
criteria :
(i) You should know your customers i.e. you must have fixed set of customers and you should have
demand history of each customer so that you can predict future orders coming from customer.
(ii) Demand should exceed supply.
(iii) Product price offered to customer should be different may be based on quantity or long term
relationship.

Is viable to implement profitable to promise concept in sure retail scenario?
Do you think profitable to promise would be useful in any other scenario?

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This post was last modified on 27 July 2020