International Journal of Supply Chain Management
Vol 9, No 4 (2020): International Journal of Supply Chain Management (IJSCM)

Supply Chain Management Planning for a Project Using the Fuzzy Logic and Crasing Program Method

Elis Hertini (Department of Mathematic UniversitasPadjadjaran Bandung Indonesia)
Julita Nahar (Department of Mathematic UniversitasPadjadjaran Bandung Indonesia)



Article Info

Publish Date
28 Aug 2020

Abstract

Project management is a strategy that needs to be done in project planning and scheduling. With the preparation of a good project management, it can be estimated the time and cost needed to run the project, so as to minimize cost losses due to possible project lags. Project scheduling is one element of planning results, which can provide information about project schedules, plans and progress. Project time management can be arranged using the Critical Path Method (CPM) and Program Evaluation and Review Technique (PERT). One alternative to accelerate project completion (Crashing) is by adding project costs using the Crasing Program Method. To overcome the uncertainty of scheduling time and project costs in calculations Fuzzy Logic is used. From the results of using Fuzzy Logic, we estimate the time and cost needed to carry out the project, so as to minimize cost losses due to possible time delays in the project. The results of using Fuzzy Logic on CPM and PERT project schedule on a house renovation project in Ujungberung Indah Bandung housing complex, requires a longer completion time, but the probability of completion of the project is higher, the use of the Crasing Program Method results in faster project completion times and lower incremental costs.

Copyrights © 2020






Journal Info

Abbrev

IJSCM

Publisher

Subject

Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

Description

International Journal of Supply Chain Management (IJSCM) is a peer-reviewed indexed journal, ISSN: 2050-7399 (Online), 2051-3771 (Print), that publishes original, high quality, supply chain management empirical research that will have a significant impact on SCM theory and practice. Manuscripts ...