Abstract
New Product Development has gotten significant for supportability in the present advanced and aggressive market. It is a critical factor in an organization’s success. A firm may encounter a situation where in a number of feasible alternatives are available and they would like to invest in all these available alternatives. In this situation, obstruction comes in apportioning assets to various new item on premise of item esteem, venture hazard and business system. New item portfolio allotment includes designating constrained arrangement of assets to extend with the end goal that equalization is built up as far as hazard, worth and business system arrangement. This paper deals with new product portfolio allocation in a pharmaceutical healthcare industry involved in manufacturing of various types of X-ray machines. The aim was to evaluate the available alternatives for resource allocation. Various decision makers were included having an equivalent state in basic leadership process. Information was taken in semantic structure from the partners and changed over into quantitative structure. Multi-Attribute Decision Making (MADM) is one such method which can solve this problem. To approve the outcome, Fuzzy-TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) and (COPRAS) complex proportional assessment Grey strategy were utilized. The strategy includes getting the weightages for criteria, trailed by elective rating against every model from the leaders in an etymological structure. Fuzzy scale and Grey numbers were utilized to change over the phonetic information into quantitative structure. The methods were applied and the results were validated. Sensitivity examination was done to check the legitimacy of the outcome.
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11 October 2022
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s13198-022-01781-4
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Caisucar, M., Naik Dessai, A. & Usgaonkar, G. RETRACTED ARTICLE: Validation of portfolio allocation in NPD: fuzzy-TOPSIS and COPRAS-grey approach. Int J Syst Assur Eng Manag 12, 37–43 (2021). https://doi.org/10.1007/s13198-020-01024-4
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DOI: https://doi.org/10.1007/s13198-020-01024-4