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Select data courtesy of the U.S. National Library of Medicine.

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Engineering, Construction and Architectural Management

Subject:
Business, Management and Accounting (miscellaneous)
Publisher:
Emerald Group Publishing Limited —
Emerald Publishing
ISSN:
0969-9988
Scimago Journal Rank:
63

2023

Volume 30
Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jun)Issue 5 (May)Issue 4 (May)Issue 3 (Apr)Issue 2 (Mar)Issue 1 (Feb)

2022

Volume 29
Issue 10 (Dec)Issue 9 (Nov)Issue 8 (Aug)Issue 7 (Aug)Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Mar)Issue 1 (Feb)

2021

Volume 28
Issue 10 (Nov)Issue 9 (Nov)Issue 8 (Oct)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (Jun)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Mar)Issue 1 (Feb)

2020

Volume 28
Issue 3 (May)
Volume 27
Issue 10 (Oct)Issue 9 (May)Issue 8 (Sep)Issue 7 (Jul)Issue 6 (Jun)Issue 5 (Jun)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)

2019

Volume 27
Issue 2 (Aug)Issue 1 (Jul)
Volume 26
Issue 11 (Nov)Issue 10 (Sep)Issue 9 (Sep)Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (May)Issue 4 (May)Issue 3 (Apr)Issue 2 (Mar)Issue 1 (Feb)

2018

Volume 25
Issue 11 (Oct)Issue 10 (Oct)Issue 9 (Sep)Issue 8 (Sep)Issue 7 (Aug)Issue 6 (Jul)Issue 5 (Jul)Issue 4 (May)Issue 3 (Apr)Issue 2 (Mar)Issue 1 (Feb)

2017

Volume 24
Issue 6 (Nov)Issue 5 (Sep)Issue 4 (Jul)Issue 3 (May)Issue 2 (Mar)Issue 1 (Jan)

2016

Volume 23
Issue 6 (Nov)Issue 5 (Sep)Issue 4 (Jul)Issue 3 (May)Issue 2 (Mar)Issue 1 (Jan)

2015

Volume 22
Issue 6 (Nov)Issue 5 (Sep)Issue 4 (Jul)Issue 3 (May)Issue 2 (Mar)Issue 1 (Jan)

2014

Volume 21
Issue 6 (Nov)Issue 5 (Sep)Issue 4 (Jul)Issue 3 (May)Issue 2 (Mar)Issue 1 (Jan)

2013

Volume 20
Issue 6 (Nov)Issue 5 (Aug)Issue 4 (Jun)Issue 3 (Apr)Issue 2 (Feb)Issue 1 (Jan)

2012

Volume 19
Issue 6 (Nov)Issue 5 (Aug)Issue 4 (Jun)Issue 3 (Apr)Issue 2 (Feb)Issue 1 (Jan)

2011

Volume 18
Issue 6 (Nov)Issue 5 (Sep)Issue 4 (Jul)Issue 3 (May)Issue 2 (Mar)Issue 1 (Jan)

2010

Volume 17
Issue 6 (Nov)Issue 5 (Sep)Issue 4 (Jul)Issue 3 (May)Issue 2 (Mar)Issue 1 (Jan)

2009

Volume 16
Issue 6 (Nov)Issue 5 (Sep)Issue 4 (Jul)Issue 3 (May)Issue 2 (Feb)Issue 1 (Jan)

2008

Volume 15
Issue 6 (Nov)Issue 5 (Sep)Issue 4 (Jul)Issue 3 (May)Issue 2 (Feb)Issue 1 (Jan)

2007

Volume 14
Issue 6 (Nov)Issue 5 (Sep)Issue 4 (Jul)Issue 3 (May)Issue 2 (Mar)Issue 1 (Jan)

2006

Volume 13
Issue 6 (Nov)Issue 5 (Sep)Issue 4 (Jul)Issue 3 (May)Issue 2 (Mar)Issue 1 (Jan)

2005

Volume 12
Issue 6 (Dec)Issue 5 (Oct)Issue 4 (Aug)Issue 3 (Jun)Issue 2 (Apr)Issue 1 (Feb)

2004

Volume 11
Issue 6 (Dec)Issue 5 (Oct)Issue 4 (Aug)Issue 3 (Jun)Issue 2 (Apr)Issue 1 (Feb)

2003

Volume 10
Issue 6 (Dec)Issue 5 (Oct)Issue 4 (Aug)Issue 3 (Jun)Issue 2 (Apr)Issue 1 (Feb)

2002

Volume 9
Issue 5/6 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2001

Volume 8
Issue 5/6 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

2000

Volume 7
Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1999

Volume 6
Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1998

Volume 5
Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1997

Volume 4
Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1996

Volume 3
Issue 4 (Apr)Issue 3 (Mar)Issue 1/2 (Jan)

1995

Volume 2
Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

1994

Volume 1
Issue 2 (Feb)Issue 1 (Jan)
journal article
LitStream Collection
Stream methods of construction work organization an introduction to the problem

HEJDUCKI, ZDZISAW; MROZOWICZ, JULIUSZ

2001 Engineering, Construction and Architectural Management

doi: 10.1108/eb021172

This paper presents and describes basic properties of construction work organization methods which use time couplings. In addition, fundamental methods of construction work organization, which enable the scheduling and synchronization of construction works and take into account several constraints encountered in practice, are also discussed.
journal article
LitStream Collection
Scheduling system for repetitive unit construction using lineofbalance technology

ARDITI, DAVID; TOKDEMIR, ONUR B.; SUH, KANGSUK

2001 Engineering, Construction and Architectural Management

doi: 10.1108/eb021173

Although lineofbalance LOB scheduling can be superior to bar charts and networks in repetitiveunit construction, there are indications that its use is not widespread. In this study, the major limitations of the existing LOB methodology are identified and then eliminated by developing a computer program called repetitive unit scheduling system RUSS. An effective algorithm that facilitates the implementation of LOB scheduling is developed. A tool that handles logical and strategic limitations caused by the particular characteristics of repetitive activities is provided. A learning model is developed and incorporated into LOB calculations. The program is designed to optimize resource allocation by using multiples of the natural rhythm of activities. An optimum crew size that guarantees maximum productivity in an activity is used throughout the LOB calculations to achieve costoptimized schedules. Nonlinear and discrete activities are incorporated into the LOB calculations. RUSS displays the LOB diagram of every individual path in the unit network. It is believed that a system such as RUSS will make the LOB method more appealing to contractors of repetitive projects.
journal article
LitStream Collection
Neurofuzzy modelling of construction projects' duration I principles

BOUSSABAINE, A.H.

2001 Engineering, Construction and Architectural Management

doi: 10.1108/eb021174

Construction projects' duration can be modelled using traditional and artificial intelligence methods. The first part of these two papers provides an insight into the principles of modelling project durations using neurofuzzy methods. This paper presents an understanding of how these methods operate and discusses the main issues concerning their use and application in construction management. An introduction to the problems of modelling and predicting construction projects' duration is first presented. This is followed by explaining the neurofuzzy life cycle modelling process and discussing methods for modelling projects' duration. A graphical presentation of the way in which neurofuzzy methods operate is also presented and discussed.
journal article
LitStream Collection
Neurofuzzy modelling of construction projects' duration II application

BOUSSABAINE, A.H.

2001 Engineering, Construction and Architectural Management

doi: 10.1108/eb021175

The first paper of this twopaper series has developed an understanding of neurofuzzy concept modelling techniques. This second paper demonstrates the power and versatility of neurofuzzy methods when applied to the determination of construction project duration. The paper explains data selection and preprocessing, the modelling process and optimization of developed models. The paper also presents and discusses the results generated by the developed model.
journal article
LitStream Collection
Multiproject cash flow optimization noninferior solution through neuromultiobjective algorithm

LAM, K.C.; HU, TIESONG; CHEUNG, S.O.; YUEN, R.K.K.; DENG, Z.M.

2001 Engineering, Construction and Architectural Management

doi: 10.1108/eb021176

Modelling of the multiproject cash flow decisions in a contracting firm facilitates optimal resource utilization, financial planning, profit forecasting and enables the inclusion of cashflow liquidity in forecasting. However, a great challenge for contracting firm to manage his multiproject cash flow when large and multiple construction projects are involved manipulate large amount of resources, e.g. labour, plant, material, cost, etc.. In such cases, the complexity of the problem, hence the constraints involved, renders most existing regular optimization techniques computationally intractable within reasonable time frames. This limit inhibits the ability of contracting firms to complete construction projects at maximum efficiency through efficient utilization of resources among projects. Recently, artificial neural networks have demonstrated its strength in solving many optimization problems efficiently. In this regard a novel recurrentneuralnetwork model that integrates multiobjective linear programming and neural network MOLPNN techniques has been developed. The model was applied to a relatively large contracting company running 10 projects concurrently in Hong Kong. The case study verified the feasibility and applicability of the MOLPNN to the defined problem. A comparison undertaken of two optimal schedules i.e. riskavoiding scheme A and riskseeking scheme B of cash flow based on the decision maker's preference is described in this paper.
journal article
LitStream Collection
ISO 9000 certification of Singapore construction enterprises its costs and benefits and its role in the development of the industry

OFORI, GEORGE; GANG, GU

2001 Engineering, Construction and Architectural Management

doi: 10.1108/eb021177

The construction management literature discusses the benefits which companies derive from having their operations certified to the ISO 9000 series of quality management systems QMS. In Singapore, quality has been a topical issue in the construction industry for the past decade. ISO 9000 certification, which has been a major part of the construction quality development programme, is now mandatory for large construction contracting and consultancy organizations wishing to register to undertake publicsector projects. This paper reports on a study on the role which ISO 9000 implementation plays in the quality development of Singapore's construction industry by ascertaining the perceptions, objectives, motivations and experiences including benefits and problems relating to quality in general, and to ISO 9000 certification and implementation in particular. A questionnairebased survey of large construction companies was conducted. It was found that construction firms benefit from QMS certification, and face no significant problems with it. Recommendations are made for enhancing the benefits of ISO 9000 and ensuring that it has a positive longterm impact on the development of Singapore's construction industry.
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