Data Explaining Application of ALAP and ASAP Constraints in MS Project: Research Data Explaining the Effective application of Constraints in the Microsoft Project Planner - Softcover

Efole, Friday

 
9786200503411: Data Explaining Application of ALAP and ASAP Constraints in MS Project: Research Data Explaining the Effective application of Constraints in the Microsoft Project Planner
Softcover
ISBN 10: 6200503419 ISBN 13: 9786200503411
Verlag: LAP LAMBERT Academic Publishing, 2019

Inhaltsangabe

The book presents empirical data that show the effects of the ALAP and ASAP constraints in construction project scheduling. It defines and explains the ALAP/ASAP constraints. It applies also Primavera Project Planner scheduling software which has such constraint features: (i)As Soon As Possible (ASAP) (ii)As Late As Possible (ALAP) (iii)Start No Earlier Than (SNET) (iv)Start No Later Than (SNLT) (v)Finish No Earlier Than (FNET) (vi) Finish No Later Than (FNLT) (vii)Must Start On (MSO) and (viii)Must Finish On (MFO). Several literature sources show that only few practitioners know how to apply these constraints properly in developing the construction schedule. So many researchers contend that scheduling practice is done on a ‘hit or miss’ basis without regards to best practice standards and scheduling to proactively mitigate potential problems. The book is an attempt to replace intuition with scientific reasoning. It provides concise evidence for the scenarios and right application of the ALAP and ASAP constraints in the Microsoft Project Planner. It is a useful companion for scheduling engineers and project managers, and software developers.

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Über die Autorin bzw. den Autor

The author MR. EFOLE, FRIDAY EZIODAWHE was born in 1962 in Olomoro town, Isoko LGA of Delta state, Nigeria. He holds BSc in Quantity Surveying, MSc in Construction Management and MPhil in also in Construction Management. He is currently studying towards a PhD degree in Construction Project Management at the University of Jos, Nigeria.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
6200503419
ISBN 13 
9786200503411
Einband
Taschenbuch
Anzahl der Seiten
492
Kontakt zum Hersteller
Nicht verfügbar
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