Multi Objective Multi Mode Project Management Problem in Triangular Fuzzy Environment
Rekh Riddhi Ketankumar1, Jayesh M. Dhodiya2

1Rekh Riddhi Ketankumar*, Science & Humanities Dept., RNGPIT, Isroli-Afwa, Surat, India.
2Dr.Jayesh M. Dhodiya, ASHD, SVNIT, Surat, India. 

Manuscript received on November 14, 2019. | Revised Manuscript received on 24 November, 2019. | Manuscript published on December 10, 2019. | PP: 1772-1781 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7806129219/2019©BEIESP | DOI: 10.35940/ijitee.B7806.129219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Execution of any project with optimum duration, cost, quality and risk is very significant for project administrators in recent very competitive commercial situation. Sometimes it is not possible to have detailed earlier statistics about project criteria. In such situations, estimation of different Decision makers are considered in linguistic variables and altered into triangular fuzzy numbers as fuzzy numbers have ability to deal with vagueness. In this paper, we frame a new multi-mode multi objective critical path problem and suggest a possibilistic methodology to find critical path for a project where three decision makers’ views are considered as three modes of execution in terms of linguistic variables. We have formulated model of multiple mode in project network problem and find its solution with fuzzy programming approach with exponential membership and linear membership function. The proposed approach is useful to solve multi-mode project management problem which calculates optimal critical path according to four criteria- time, cost, risk and quality with three activities modes of execution in fuzzy environment. 
Keywords: PERT, CPM, Multi Objective Multi-mode (MOMM), Multi Objective Critical Path Problem (MOCPP), TFN.
Scope of the Article: Environmental Engineering