Advances in Multi objective Decision Making in Information Technology

ANJALI, ANJALI and M., RAMESH and V.S.S, KUMAR (2014) Advances in Multi objective Decision Making in Information Technology. In: International Conference on Advances in Civil, Structural and Mechanical Engineering - ACSME 2014, 04-05 January, 2014, Bangkok.

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Soft In manufacturing industry, complexities will often arise due to the presence of a large number of interacting variables and many of which may defy quantification. Nevertheless, engineers use different skills and strategies for accomplishing and resolving the constraints and achieving the tasks. Operations research (OR) is a widely used technique for management problems through different and appropriate mathematical models. One of the widely used tools of operations research in engineering is the linear programming technique. In this technique all the information pertaining to the problem is expressed in terms of linear constraints on the decision variables. Where the data is precise and the constraints are internally controlled, the technique is good for arriving at the optimized decision. Manufacturing industry is often plagued by uncertainties because of unforeseen factors such as changing weather, break-down of equipment, labor in efficiency, and lack of coordination. Uncertainty in the supply of re¬sources, i.e., delayed delivery of materials or intermediate prod¬ucts or the availability of shared resources, can lead to ineffi¬ciency resulting in lower productivity, delays, and extra cost. In addition, rates of resources are not steady and are difficult to match during the execution of the project. Since, there are no effective methods to minimize the uncer¬tainty, some flexible strategies need to be adopted to reduce the interaction or dependence between activities.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Fuzzy sets, linear programming, constraints, decision.
Depositing User: Mr. John Steve
Date Deposited: 10 May 2019 11:30
Last Modified: 10 May 2019 11:30

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