English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

A decision model is developed to help managers select the most appropriate sequences of plans for product research and development (R&D) projects under strict constraints on budget and resources. In recent years, many organizations have changed from discipline-oriented to focusing on integrated programs and related outcomes. For a decision-maker of these high-profile R&D programs, it is critical to understand which activities are the most important, considering both investment feasibility and cost-effectiveness. This paper proposes a two-dimensional decision model that integrates fuzzy data envelopment analysis and analytic hierarchy process to perform this essential task. Using the information from these two decision science tools, the model develops a two-axis evaluation space for research alternatives. By locating particular activities in this decision space, a program manager can compare and prioritize alternative research investments.       Key words: Fuzzy data envelopment analysis, fuzzy analytic hierarchy process, research and development.

A study for allocating resources to research and development programs by integrated fuzzy DEA and fuzzy AHP