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AN IMPROVE OBJECT-ORIENTED APPROACH FOR MULTI-OBJECTIVE FLEXIBLE JOB-SHOP SCH...ijcsit
Flexible manufacturing systems are not easy to control and it is difficult to generate controlling systems for this problem domain. Flexible job-shop scheduling problem (FJSP) is one of the instances in this domain. It is a problem which acquires the job-shop scheduling problems (JSP). FJSP has additional routing subproblem in addition to JSP. In routing sub-problem each task is assigned to a machine out of a set of capable machines. In scheduling sub-problem, the sequence of assigned operations is obtained while optimizing the objective function(s). In this work an object-oriented (OO) approach with simulated annealing algorithm is used to simulate multi-objective FJSP. Solution approaches provided in the literature generally use two-string encoding scheme to represent this problem. However, OO analysis, design and programming methodology helps to present this problem on a single encoding scheme effectively which result in a practical integration of the problem solution to manufacturing control systems where OO paradigm is frequently used. Three parameters are considered in this paper: maximum completion time, workload of the most loaded machine and total workload of all machines which are the benchmark used to show the propose system achieve effective result.
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Flexible manufacturing systems are not easy to control and it is difficult to generate controlling systems for this problem domain. Flexible job-shop scheduling problem (FJSP) is one of the instances in this domain. It is a problem which acquires the job-shop scheduling problems (JSP). FJSP has additional routing subproblem in addition to JSP. In routing sub-problem each task is assigned to a machine out of a set of capable machines. In scheduling sub-problem, the sequence of assigned operations is obtained while optimizing the objective function(s). In this work an object-oriented (OO) approach with simulated annealing algorithm is used to simulate multi-objective FJSP. Solution approaches provided in the literature generally use two-string encoding scheme to represent this problem. However, OO analysis, design and programming methodology helps to present this problem on a single encoding scheme effectively which result in a practical integration of the problem solution to manufacturing control systems where OO paradigm is frequently used. Three parameters are considered in this paper: maximum completion time, workload of the most loaded machine and total workload of all machines which are the benchmark used to show the propose system achieve effective result.
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ASSIGNMENT
DRIVE SPRING 2015
PROGRAM MBADS (SEM 3/SEM 5)MBAFLEX/ MBA (SEM 3)PGDOMN
(SEM 1)
SUBJECT CODE & NAME OM0010 OPERATIONS MANAGEMENT
BK ID B1934
CREDITS&MARKS 4 CREDITS AND 60 MARKS
Note: Answer all questions. Kindly note that answers for 10 marks questions should be
approximately of 400 words. Each question is followed by evaluation scheme.
Q. 1. Answer the following questions:
Q. 1. 1. What are the objectives of operations management?
Answer:Objectives of the Operations Scheduling –
1. Making efficient use of the labour.
2. Making best possible use of the equipments that are available for the use.
3. Increasing the profit.
4. Increasing the output.
5
Q. 1. 2. What are the major limitations of operations research?
Answer:There are a number of limitations of operations research which may be stated as follows:
1. In the quantitative analysis of operations research, certain assumptions and estimates are made
for assigningquantitative values to factors involved. If such estimates are wrong, the result would
be- equally misleading.
Q. 1. 3. Explain the relationship among organisation, operations and marketingstrategies.
2. Answer:Operations managers are integral to organizational strategy in many companies and
organizations. The Bureau of Labor Statistics (BLS) reports that over 1.7 million operations and
general managers were employed throughout the United States in 2010 in various industries.
Operations managers made an average salary of $113,100 per year, according to the BLS. This
providessome indication of their overall importance for the development of the organizations for
which they are employed.
Q. 2. Write short notes on
1. Consumer Pricing Expectations Range (CPER): Consumers have an expectation range when it
comes to pricing. It’s possible to adjust their range upwards through a combination of terrific
marketing and evangelists. But you need to have both:
Apple has successfully adjusted the consumer pricing expectations range (CPER) for
2. Constrainedoptimizationproblems.:Inmathematical optimization, constrained optimization (in
some contextscalledconstraintoptimization) isthe processof optimizinganobjectivefunction with
respectto some variablesinthe presenceof constraintsonthose variables.The objective function is
either a cost function or energy function which is to be minimized, or a reward function or utility
function,whichistobe maximized.Constraints can be either hard constraints which set conditions
for the variables that are required to be satisfied, or soft constraints which have some variable
Q. 3. Answer the following questions:
1. What are the difficulties/challenges faced by service operations managers?:
Ans: Operationmanagersplayacentral role in stabilizing an organization's policies and procedures
across majorbusinessareasincludingfinance,planningandtechnology.Insmall businesses,the role
of the operationmanagerisoftenassumedbythe business's owner or its general manager. The job
involves overseeing the company's
2. What is service blueprint? What are its components?:
Ans : The service blueprintisatechnique usedforserviceinnovation,buthasalsofoundapplications
in diagnosing problems with operational efficiency and can be used to conceptualise structural
change (i.e.repositioning).The technique wasfirstdescribedby Lynn Shostack, a bank executive, in
the Harvard Business Review in 1982. The blueprint shows processes within the company, divided
into different components which are separated by lines.
3. Q. 4. Give the steps for solving the goal programming problem using the graphical method of
goal programming.
Explain the 2 types of goal programming with multiple goals.
Answer:Goal programming is a branch of multiobjective optimization, which in turn is a branch of
multi-criteria decision analysis (MCDA). This is an optimization programme. It can be thought of as
an extension or generalisation of linear programming to handle multiple, normally conflicting
objective measures. Each of
Q. 5. Findthe minimumtransportation cost from the data givenbelow using the north-westcorner
method
Unit/Depot D1 D2 D3 D4 Supply
S1 2 3 5 1 8
S2 7 3 4 6 10
S3 4 1 7 2 20
Demand 6 8 9 15 38
Compute the minimum transportation cost using northwestcorner method
Answer:Procedurally,the value (oftendenotedbythe Greek letter epsilon, - ) is used in exactly the
same manneras a real numberexceptthatitmayinitially be placed in any empty cell, even though
row and column requirements have been met by real numbers. A degenerate transportation
problem showing a Northwest
Q. 6. Answer the following questions:
1. What are the benefits of maintaining inventory?
Answer:Inventory management is a good practice for any company. If you are not keeping a
watchful eye onyourinventoryorcountingstockregularly,youare setting yourself up for potential
inventory errors and challenges. Proper inventory management really can make or break your
business! Keep the following benefits in mind as you weigh the cost of not implementing an
inventory management strategy:
A good inventory management
2. Give any 2 applications of queuing models.
Answer:Queuingtheoryisthe mathematical approachto the analysis of waiting lines in any setting
where arrival rate of subjects is faster than the system can handle. It is applicable to healthcare
settings where the systems have excess capacity to accommodate random variations.
4. 1. The needforapplicationof queuingtheoryinhealthcare settings is very important because
3. Mention any 2 performance measures of sequencing.
Answer:Flow shop scheduling problems, are a class of scheduling problems with a workshop or
group shop in which the flow control shall enable an appropriate sequencing for each job and for
processing on a set of machines or with other resources 1,2,...,m in compliance with given
processing orders.
4. What are the characteristics of Markov analysis?
Answer:Markov analysis, like decision analysis, is a probabilistic technique. However, Markov
analysis is different in that it does not provide a recommended decision. Instead, Markov analysis
provides probabilistic information about a decision situation that can aid the decision maker in
making a decision. In other words, Markov analysis is not an optimization technique; it is a
descriptive technique that results in probabilistic information.
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