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Description |
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Vendor selection with imprecise information is a difficult task in the management of a supply chain.
In a real-life situation for a vendor selection problem, a lot of input information related to the various
vendors is not known with certainty. In this paper, vendor selection is modeled as a chance-constrained
problem when the right-hand-side values of the constraints are independent normal random variables.
The model is able to handle the net rate of return of sales revenue as a minimizing objective with a few
realistic constraints like quality level supplied by the vendors, on-time delivery level constraint, service
level provided by the vendors, buyer’s demand, and under the uncertain right-hand-side values of
constraints related to budget amount allocated to individual vendors. The proposed approach allows to
handle the random aspects of the problem. The effect of uncertainty variation is also analyzed in the
model. The results indicate that the quota-allocation of different vendors may be quite different when
uncertainties are captured. At the different levels of uncertainty in the assessment of budget amount
allocated to the vendors, the allocation of vendors’ quota changes. In some cases, few vendors loose their
entire quota to the other vendors who had buffer capacity but have superior performance under uncertain
decision parameters. The paper presents a case, which shows the effectiveness and application of the model
to vendor selection in a supply chain.
Supply Chain Management (SCM) is defined as the integration of key business processes
from end-users through original vendors that provide products, services, and information
and add value to customers and other stakeholders (Cooper et al., 1997).
The entire SCM encompasses issues like coordinating the ordering, production, inventory
and distribution of supplied items from the vendors. The roles of vendors are imperative
for streamlining a steady and uninterrupted SCM. The vendors should be able to augment
the effectiveness of SCM to ensure consistent delivery, reducing total system cost,
reducing inventories, optimizing stream of information to the entire SCM, qualities along
with services of supplied resources throughout the SCM, etc. Vendor Selection Problem
(VSP) is an area of tremendous important intended for an effective SCM. It deals with
issues related to the selection of right vendors and their quota allocations. In designing
a supply chain, a decision-maker must consider decisions regarding the selection of the
right vendors and their quota allocation.
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Keywords |
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A Chance-constrained Programming Approach for Vendor Selection,vendors, information, selection, constraints, different, supplied, delivery, entire, amount, reducing, righthandside, effectiveness, uncertainty, budget, vendor, decisionmaker, allocation, analyzed, designing, demand, distribution, effective, encompasses, application, aspects, ensure, independent, imprecise, inventories, integration, management, objective, optimizing, ordering, performance, allocations, provided, quotaallocation, reallife, realistic, regarding, resources |
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