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Order
Level Lot Size Inventory Model for Weibull Distributed Deteriorating
Units Having Salvage Value with Price Breaks
--
Nita
H Shah, Poonam Pandey and Ravi Gor
The
objective of this study is to develop a deterministic inventory
model with price breaks, pricing and partial backordering
when the units in inventory are subject to deterioration with
respect to time. Weibull distributed deteriorating units are
considered. Most of the researches on deteriorating items
consider deterioration to be a complete loss. Here, the salvage
value is associated with the deteriorated units. The demand
rate is a decreasing function of selling price. The decision
variables maximize the profit. The results of this study are
relevant to retailers of deteriorating items in a competitive
environment. A numerical example is given to validate the
mathematical model developed.
©
2008 IUP . All Rights Reserved.
Powers
of Two-Based Heuristic for Job-Shop Scheduling
--
V
Mahesh, Sandeep Dulluri, A Chennakesava Reddy and C S P Rao
This
paper deals with makespan minimization of a job shop. The
job-shop scheduling problem with the makespan criterion is
certainly an NP-hard case, hence optimization algorithms are
ruled out in practice. It is therefore unrealistic to try
obtaining a solution through a commercial solver in polynomial
time. This paper proposes a computationally effective heuristic,
which is based on the powers of two policy in inventory, for
solving the minimum makespan problem of job-shop scheduling.
It also proposes bounds for makespan, to validate the results
obtained by the proposed heuristic. An increase in resource
utilization is noted as an important by-product of the proposed
heuristic.
©
2008 IUP . All Rights Reserved.
Development
of Optimum Transportation Plan from Raw Coal Feed to Washeries
of a Coal Producing Company Using Stochastic Programming Approach
-- Chandan
Bhar
Transportation
problem decides the transportation routes for allocating production
of various plants to several warehouses with an objective
to satisfy the demands of the warehouses, taking into consideration
the supply constraints of the plants at minimum possible transportation
cost. In case of a transportation model, the parameters of
the system are assumed to be deterministic in nature. But
in real life situation, parameters are random in nature. In
this study, a case of distribution of coal from collieries
to washeries of a coal producing company has been undertaken.
The outputs of collieries as well as the demand of washeries
were random in nature. Chance constrained programming technique,
a technique of stochastic programming approach, has been used
to solve this transportation problem and to obtain the optimum
transportation routes for supplying coal from collieries to
washeries. The results obtained from this study will help
the organization to decide the optimum routes for transporting
its coal from collieries to washeries.
©
2008 IUP . All Rights Reserved.
Modified
Method for Evaluation of Risk Priority Number in Design FMEA
-- N
Sellappan and R Sivasubramanian
FMEA
(Failure Modes and Effects Analysis)is a systematic method
used to investigate and evaluate the potential failure of
a product or a process. For each failure mode, the team assesses
the severity, the likelihood of occurrence, and the difficulty
of detection of the failure mode. These are ranked in numbers
between 1 and 10. The product of these numbers is called the
Risk Priority Number (RPN). Actions are developed to reduce
the RPN, which are then recommended. Priority is given to
the highest RPN value and severity value. The traditional
FMEA technique has limitations when, two or more failure modes
have the same RPN and the team has a disagreement in the ranking
scale for severity, occurrence and detection. This paper presents
a new approach to overcome these limitations while evaluating
RPN in Design FMEA.
©
2008 IUP . All Rights Reserved.
Case
Study
Nestlé:
Streamlining Operations
-- C Vijaya
©
2005 IBS Case Development Centre. All
Rights Reserved.
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