scholarly journals Socio-Organo Complexity, Project Schedule Performance and Underdamped Transient Motion

2020 ◽  
Vol 9 (4) ◽  
pp. 1-15
Author(s):  
Dimitris N. Antoniadis
Keyword(s):  
Project Management ◽  
Control Systems ◽  
Project Performance ◽  
Project Schedule ◽  
Management Processes ◽  
Project Complexity ◽  
And Performance ◽  
And Control ◽  
Made In ◽  
Main Factor

Complexity is an inherent property of all systems and a result of interconnections. In projects various systems come together to deliver the required outcome(s). The most common type of project complexity mentioned / considered in practice is the technical complexity and this has always been considered a main factor which affects project performance. Despite that, projects are delivered by people who interface ontinuously and therefore are effected by complexity, and in particular that caused by socio-organo interfaces and the boundaries between the various teams and parties. This has not been investigated. ocio-organo complexity leads to reduction in performance if interconnections are not managed. Research has been carried out to understand the effects of complexity through project management processes on project schedule and performance, aiming towards the development of a tool and identification of actions that will enable the management of these effects. The author presents results of five case studies, which demonstrate that socio-organo complexity affects performance and these results have similarities with the behaviour of underdamped control systems. The results have significant implications on the way socioorganisational complexity can be managed, how processes are implemented, but also enable parallels to be drawn between the fields of project management and control systems. Considering control systems theory proposals are made in this paper for actions to be taken which will contribute towards the management of the effects of socio-organo complexity on projects.

Fusion of Fuzzy Multi-Criteria Decision Making Approaches for Discriminating Risk with Relate to Software Project Performance

2021 ◽  
pp. 346-373
Author(s):  
Arun Kumar Sangaiah ◽  
Vipul Jain
Keyword(s):  
Decision Making ◽  
Project Performance ◽  
Software Project ◽  
Multi Criteria Decision Making ◽  
Assessment Framework ◽  
Planning And Control ◽  
Project Complexity ◽  
Software Project Performance ◽  
And Performance ◽  
And Control

The prediction and estimation software risks ahead have been key predictor for evaluating project performance. Discriminating risk is vital in software project management phase, where risk and performance has been closely inter-related to each other. This chapter aims at hybridization of fuzzy multi-criteria decision making approaches for building an assessment framework that can be used to evaluate risk in the context of software project performance in following dimensions: 1) user, 2) requirements, 3) project complexity, 4) planning and control, 5) team, and 6) organizational environment. For measuring the risk for effectiveness of project performance, we have integrated Fuzzy Multi-Criteria Decision Making (FMCDM) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approaches. Moreover the fusion of FMCDM and TOPSIS has not been adequately investigated in the exiting studies.

Fusion of Fuzzy Multi-Criteria Decision Making Approaches for Discriminating Risk with Relate to Software Project Performance

2017 ◽  
pp. 38-64
Author(s):  
Arun Kumar Sangaiah ◽  
Vipul Jain
Keyword(s):  
Decision Making ◽  
Project Performance ◽  
Software Project ◽  
Multi Criteria Decision Making ◽  
Assessment Framework ◽  
Planning And Control ◽  
Project Complexity ◽  
Software Project Performance ◽  
And Performance ◽  
And Control

The prediction and estimation software risks ahead have been key predictor for evaluating project performance. Discriminating risk is vital in software project management phase, where risk and performance has been closely inter-related to each other. This chapter aims at hybridization of fuzzy multi-criteria decision making approaches for building an assessment framework that can be used to evaluate risk in the context of software project performance in following dimensions: 1) user, 2) requirements, 3) project complexity, 4) planning and control, 5) team, and 6) organizational environment. For measuring the risk for effectiveness of project performance, we have integrated Fuzzy Multi-Criteria Decision Making (FMCDM) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approaches. Moreover the fusion of FMCDM and TOPSIS has not been adequately investigated in the exiting studies.

scholarly journals Four stages of making project management flexible: insight, importance, implementation and improvement

2020 ◽  
Vol 12 (1) ◽  
pp. 2117-2136
Author(s):  
Afshin Jalali Sohi ◽  
Marian Bosch-Rekveldt ◽  
Marcel Hertogh
Keyword(s):  
Project Management ◽  
Construction Industry ◽  
Management Practice ◽  
Research Question ◽  
Practical Method ◽  
Project Performance ◽  
Main Question ◽  
Project Complexity ◽  
Project Phases ◽  
Management Flexibility

Abstract Increased project complexity, project dynamics and changes in clients’ requirements are a few examples that suggest the necessity for flexibility in project management in order to deliver successful projects. Despite the fact that literature suggests adding flexibility to project management, there is no existing framework that provides a practical method for adding flexibility into the practice of project management in the construction industry. Therefore, this research is aimed at proposing a practical framework that helps practitioners in embedding project management flexibility into their project management practice. The research question is as follows: how to embed flexibility in the practice of project management in the early project phases? To answer the research question, four sub-questions have been formulated, which have been separately researched. The main question is answered by proposing a flexibility framework. This framework comprises four stages: understanding the current situation, practitioners’ perspectives on flexible project management, choosing enablers to become flexible and applying selected enablers to improve project performance. The framework is validated using the examples given by practitioners from 24 cases. Considering the movements towards flexibility and adaptability concepts, this research fills the gap in literature by providing a practical framework for project management flexibility. Moreover, it provides a step-by-step guideline for practitioners to embed flexibility in practice.

On Co-Scheduling of Update and Control Transactions in Real-Time Sensing and Control Systems: Algorithms, Analysis, and Performance

2013 ◽  
Vol 25 (10) ◽  
pp. 2325-2342 ◽  
Author(s):  
Song Han ◽  
Kam-Yiu Lam ◽  
Jiantao Wang ◽  
Krithi Ramamritham ◽  
Aloysius K. Mok
Keyword(s):  
Control Systems ◽  
Real Time ◽  
And Performance ◽  
And Control

Data-driven impact assessment of multidimensional project complexity on project performance

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abroon Qazi
Keyword(s):  
Hybrid Approach ◽  
Bayesian Belief Networks ◽  
Project Performance ◽  
Performance Criteria ◽  
Data Driven ◽  
Ann Model ◽  
Content Type ◽  
Performance Space ◽  
Project Complexity ◽  
And Performance

PurposeThe purpose of this paper is to propose a data-driven scheme for identifying critical project complexity dimensions and establishing the trade-off across multiple project performance criteria.Design/methodology/approachThis paper adopts a hybrid approach using Bayesian Belief Networks (BBNs) and Artificial Neural Networks (ANNs). The output of the ANN model is used as input to the BBN model for prioritizing project complexity dimensions relative to multiple project performance criteria. The proposed process is demonstrated through a real application in the construction industry.FindingsWith a number of nonlinear interactions involved within and across project complexity and performance, it is not feasible to model and assess the strength of these interactions using conventional techniques. The proposed process helps in effectively mapping a “multidimensional complexity” space to a “multidimensional performance” space and makes use of data from past projects for operationalizing this mapping scheme by means of ANNs. This obviates the need for developing a parametric model that is both challenging and computationally cumbersome. The mapping function can be used for generating all possible scenarios required for the development of a data-driven BBN model.Originality/valueThis paper introduces a data-driven process for operationalizing the mapping of project complexity to project performance within a network setting of interacting complexity dimensions and performance criteria. The results of the application study manifest the importance of capturing the interdependency across project complexity and performance. Ignoring the underlying interdependencies and relying exclusively on conventional correlation-based techniques may lead to making suboptimal decisions.

A Sealed System and Compressor Model for Optimal Control of Household Refrigerators

2012 ◽  
Author(s):  
Bahman Abbasi ◽  
Keith Wait ◽  
Michael Kempiak
Keyword(s):  
Optimal Control ◽  
Control Systems ◽  
Effective Means ◽  
Evaporator Temperature ◽  
Efficient Manner ◽  
Control Effort ◽  
Industry Standards ◽  
Flow Phenomena ◽  
And Performance ◽  
And Control

Increasingly stringent industry standards have posed significant challenges on manufacturers to enhance the design and performance of household refrigerators. One of the least expensive and most effective means of improving the system is optimizing the control strategy. Some of the most promising control systems, such as adaptive and optimal control methods, require an accurate model of the system to guide the control effort. However, the complexity and interconnectedness of thermal and refrigerant flow phenomena make developing modern control systems a particularly challenging aspect of designing refrigerators, in spite of many decades of research and development. There exist models to correlate the desired compartments’ temperatures to that of the evaporator coil. However, there is a lack of a general approach to translate the required evaporator temperature to a compressor speed that provides it in an energy efficient manner. This work introduces a method to make that connection. The technique developed in this work can be adjusted for implementation on various refrigerator sizes and platforms to help modulate and control the compressor speed in real time.

Design, Performance, and Economics of 50-kW and 500-kW Vertical Axis Wind Turbines

1983 ◽  
Vol 105 (4) ◽  
pp. 418-424 ◽  
Author(s):  
L. A. Schienbein ◽  
D. J. Malcolm
Keyword(s):  
Wind Turbine ◽  
Control Systems ◽  
Operating Cost ◽  
Vertical Axis ◽  
Cost Performance ◽  
Vertical Axis Wind Turbines ◽  
Charge Rate ◽  
And Performance ◽  
High Level ◽  
And Control

A review of the development and performance of the DAF Indal 50-kW vertical axis Darrieus wind turbine shows that a high level of technical development and reliability has been achieved. Features of the drive train, braking and control systems are discussed and performance details are presented. Details are also presented of a 500-kW VAWT that is currently in production. A discussion of the economics of both the 50-kW and 500-kW VAWTs is included, showing the effects of charge rate, installed cost, operating cost, performance, and efficiency.

Replacement of I&C System for the Four Main Pumps in the Fuel Channels Cooling Circuit of “Maria” Polish Research Reactor

2014 ◽  
Author(s):  
Rafał Drobnik ◽  
Andrzej Głowacki
Keyword(s):  
Control System ◽  
Control Systems ◽  
Power Supply ◽  
Research Reactor ◽  
Digital System ◽  
Analog To Digital ◽  
Cooling Circuit ◽  
Operational Tests ◽  
And Control ◽  
Made In

In this work the replacement of the I&C connected with the four main pumps in a Polish research reactor called “Maria” is discussed. In particular, this paper focuses on the aspect of the whole system of pump parameters measurements (temperature, vibrations, power) and pump control system. The whole architecture of the I&C system (including power supply, redundancy of electrical and control system) will be showed. During the I&C replacement some problems arose, such as the change in the pump control system from analog to digital system; the link existing in the reactor part of the measurement made in analogue to a digital system, as part of the measurements, which were carried out in an old control system; the code for the PLC controller program dedicated exclusively to the requirements of control systems pumps. All of these problems will be discussed here, together with the proposed solutions. Moreover, I&C functional and operational tests carried out after the placement of the pumps will be described, such as loss of power and failure of one PLC controller.

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