Exploring the Broad Underlying Principals That Govern Project Management

2022 ◽  
pp. 201-219
Author(s):  
Saad Darwish ◽  
Rahul Verma
Keyword(s):  
Quality Control ◽  
Project Management ◽  
Customer Satisfaction ◽  
Risk Identification ◽  
Project Delivery ◽  
Management Efficiency

With projects becoming more complex and multifaceted than before, there arises a need for agile efficient project management. This chapter seeks to define project management efficiency. The chapter explores the five variables that influence project management efficiency. It also delves into the importance of project management efficiency. Finally, the chapter breaks down the challenges to project management efficiency and gives solutions to counter the challenges. The variables explained in this chapter are project scope, cost, time, resources, and quality. As evidenced here, each variable has a role in enhancing efficiency in managing projects. The benefits of efficiently managed projects examined are quality control, customer satisfaction, risk identification and evaluation, consistent communication, and on-schedule project delivery. The challenges expounded in the chapter are inadequate skillset, undefined goals, impossible deadlines, scope creep, resource deprivation, and poor communication.

Project Expectation Management – A Quality Approach to Customer Satisfaction

2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Karuna Devi Mishra ◽  
Dr. Sudarsanam
Keyword(s):  
Project Management ◽  
Customer Satisfaction ◽  
Project Managers ◽  
Market Place ◽  
Dynamic Approach ◽  
Project Environment ◽  
Project Governance ◽  
Expectation Management ◽  
Management Project ◽  
Quality Approach

This paper investigates the current challenges faced by the project managers in creating realistic expectations of customers in dynamic changing project environment which are created by rapid introduction of new unknowns, as they progress. One might say they are more akin to packing boxes of frogs without a cover, setting each thing right before a new challenge is faced. The difficulties posed by these projects are identified and the literature is reviewed for suitable approaches. Why do projects fail and what more is critical to the success of project? All projects are conceived with a vision to satisfy certain needs of the business. Hence, the beneficiary of these needs become key stakeholder. Appropriate participation of this key stakeholder in steering the project ensures the success of the project. Also businesses are impacted by competition and changing market place resulting in skewed expectation management. Managing expectations enhances the success of the project immensely. Now, goal of the project plays a pivotal role and hence respecting it, is an important task, in project management. Project governance is an important aspect which needs to change according to the requirements and requires a dynamic approach rather than a ‘rule book approach’.

Customer satisfaction, value for money and repurchase intent in the context of system delivery projects: a longitudinal study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Matti Haverila ◽  
Jenny Carita Twyford
Keyword(s):  
Project Management ◽  
Customer Satisfaction ◽  
Effect Sizes ◽  
Relational Exchange ◽  
Value For Money ◽  
Data Set ◽  
Content Type ◽  
Repurchase Intent ◽  
The Relationship ◽  
Relational Exchange Theory

PurposeDrawing upon the relational exchange theory, the longitudinal relationship between various stages of project management customer satisfaction, value for money and repurchase intent are examined.Design/methodology/approachUsing a survey questionnaire, data were gathered over four consecutive quarters (N = 2,537). The statistical methods included exploratory factor analysis, confirmatory composite analysis (CCA) and partial least squares structural equation modeling (PLS-SEM).FindingsProject management was perceived as a three-dimensional construct (proposal, installation, commissioning/start-up). There was a significant longitudinal relationship between project stages and satisfaction in the complete data set. The results varied on the quarterly basis. The relationship customer satisfaction/repurchase intent was significant in the whole data set and during all quarters. This was the case for the relationships between value for money and customer satisfaction and between value for money and repurchase intent. The effect sizes were small between project management stages and customer satisfaction, small to medium for the value for money construct and large for the customer satisfaction construct.Originality/valueAn important implication is the significant relationship between the stages of project management and satisfaction. However, the effect sizes were small, however. The importance of the effect size in comparison to the significance of the relationships is highlighted especially when the sample size is large. The paper also confirms the linear relationship between satisfaction and repurchase intent. The nature of the relationship between customer satisfaction and loyalty is based on a moderate exchange relationship in the relational exchange continuum. The study contributes to the relational exchange theory in the context of project management.

Perbaikan Kualitas Produk Batu Bata Merah Dengan Metode Six Sigma-Dmaic (Studi Kasus Cv. Ghatan Fatahillah Karawang)

UNISTEK ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 6-10
Author(s):  
Egar Naufal Ari Satya ◽  
Wahyudin Wahyudin
Keyword(s):  
Quality Control ◽  
Customer Satisfaction ◽  
Six Sigma ◽  
Quality Standards ◽  
Research Results ◽  
Machine Performance ◽  
Fishbone Diagram ◽  
And Control ◽  
Dmaic Method

Abstrak. Dunia industri yang semakin berkembang akan mengakibatkan banyaknya persaingan. Perus-ahaan yang dapat bersaing adalah perusahaan yang dapat menjaga  kualitas produknya dengan baik sehingga dapat memenuhi kepuasan konsumen. Maka dari itu diperlukan pengendalian kualitas. Penelitian ini difokuskan pada penurunan cacat pada produk batu bata merah di CV. Ghatan Fatahillah dengan metode Six Sigma-DMAIC (Define, Measure, Analyze, Improve, dan Control). Dari hasil penelitian didapatkan DPMO sebesar 36.212 dengan nilai sigma 3,29. Jenis cacat yang paling sering terjadi pada batu bata merah yaitu pecah/patah yaitu sebesar 4.327 atau 59,81% dari total keseluruhan produk yang cacat.  Hasil dari tahap analyze dengan fishbone diagram, ditetapkan penyebab dari pecah/cacat, yaitu: pekerja kurang paham standar kualitas, tidak adanya pemeriksaan produk, pekerja kurang paham prosedur kerja, kinerja mesin tidak stabil, pekerja kurang teliti,  jumlah penggilingan tidak menentu, dan komposisi batu bata tidak menentu. Maka perlu dilakukan usulan perbaikan agar dapat mengurangi jumlah produk yang cacat pada batu bata merah. Kata kunci: DMAIC, DPMO, Pengendalian Kualitas, Six Sigma Abstract. The growing industrial world will result in a lot of competition. Companies that can compete are companies that can maintain the quality of their products well so that they can meet customer satisfaction. Therefore, quality control is needed. This research is focused on reducing defects in red brick products at CV. Ghatan Fatahillah with the Six Sigma-DMAIC method (Define, Measure, Analyze, Improve, and Control). From the research results obtained DPMO of 36,212 with a sigma value of 3.29. The type of defect that most often occurs in red bricks is broken / broken, which is 4,327 or 59.81% of the total defective products. The results of the Analyze stage with the fishbone diagram showed that the causes of breakage / defects were determined, namely: workers do not understand quality standards, lack of product inspection, workers do not understand work procedures, unstable machine performance, workers are not careful, the number of mills is erratic, and composition erratic bricks. So it is necessary to make improvement proposals in order to reduce the number of defective products in red bricks. Keywords: DMAIC, DPMO, Quality Control, Six Sigma

Project Manager Profile Characterization in Energy Sector

2016 ◽  
Vol 7 (4) ◽  
pp. 64-84
Author(s):  
Germán Eduardo Giraldo González ◽  
César Augusto Leal Coronado ◽  
Gabriel Humberto Pulido Casas
Keyword(s):  
Project Management ◽  
Quantitative Analysis ◽  
Literature Review ◽  
Energy Sector ◽  
Project Managers ◽  
Environmental Risks ◽  
Project Manager ◽  
Project Delivery ◽  
Management Standards ◽  
Modern Project

This article describes and analyzes the fundamental characteristics of the project-manager profile in energy sector. This article includes a literature review, qualitative analysis based on expert's interviews, quantitative analysis based on surveys of project managers and finally, analysis and benchmarking of internationally recognized modern project management standards. This exercise contributes to the culture of project development and project management, specifically the recognition of the project manager's role and contribution to the successful project delivery. The identified profile shows satisfactory levels of education, training and experience, with some weaknesses in managing project complexities (environmental, risks, methodologies, communication and social responsibility).

Study on Quality Prediction Technology of Manufacturing Supply Chain

2020 ◽  
pp. 2128-2148
Author(s):  
Genbao Zhang ◽  
Yan Ran ◽  
Dongmei Luo
Keyword(s):  
Quality Control ◽  
Supply Chain ◽  
Customer Satisfaction ◽  
Product Quality ◽  
Manufacturing Industry ◽  
Quality Prediction ◽  
Full Life Cycle ◽  
Manufacturing Supply Chain ◽  
Full Life ◽  
Ensure Product Quality

Supply chain quality is the assurance of product quality in its full life-cycle. Although supply chain quality control is a hot topic among researchers, supply chain quality prediction is actually an important but unsolved problem in manufacturing industry. In this paper, an approach of manufacturing supply chain quality prediction based on quality satisfaction degree is proposed to control supply chain better, in order to help ensure product quality. Supply chain quality prediction 3D model and model based on customer satisfaction and process control are established firstly. And then technologies used in quality prediction are studied, including quality prediction index system established on Expert scoring -AHP and prediction workflow built on ABPM. Finally an example is given to illustrate this approach. The customer satisfaction prediction result of supply chain quality can help supply chain management, and the quality prediction software system can make it easier, which provides a new direction for the product quality control technology research.

Oil and gas project management and success: a critical evaluation of oil and gas project management success in Australia

2019 ◽  
Vol 59 (1) ◽  
pp. 82
Author(s):  
Cornelius Ikediashi ◽  
Bassam Bjeirmi
Keyword(s):  
Project Management ◽  
Oil And Gas ◽  
Critical Evaluation ◽  
Oil And Gas Industry ◽  
Pole Position ◽  
Project Delivery ◽  
Sources Of Information ◽  
Contributing Factors ◽  
Secondary Sources ◽  
Skills Shortages

Australia remains in pole position to become the world’s leading exporter of liquefied natural gas (LNG) and the number one exporter in the future. Maintaining this trajectory will require the oil and gas industry in Australia to remain competitive in project delivery to continue to attract investments. Yet, the Australian project delivery environment poses a big threat to this trajectory. Several research studies, organisations and institutions have come up with a long list of generic factors contributing to project management success and failure. The aim of this study is to examine oil and gas projects in Australia with a view to ascertain their success or otherwise and the specific contributing factors. This study has used a qualitative method of research by examining secondary sources of information on four recent Western Australia LNG projects (Gorgon, Wheatstone, Prelude and Ichthys) and presenting them as case studies. Specifically, the research has used mostly online sources that are either independent reports or information sourced from company websites. The key findings suggest that major oil and gas projects in Australia fail, and that failure or success is determined by the ability of the project management team to deliver the project on budget and on schedule. This is exemplified by the projects examined in this study, which have all shown cost and schedule overruns. Six critical factors are observed as contributing to cost and schedule overrun: project location, high cost of executing projects in Australia versus overseas, skills shortages, overseas manufacturing, project complexity and cultural and environment issues. Innovation, collaboration and standardisation, as adopted from other regions, are the initial practices suggested for the Australian industry to overcome all six factors and encourage further investment.

Study on Quality Prediction Technology of Manufacturing Supply Chain

2015 ◽  
Vol 8 (4) ◽  
pp. 44-62 ◽  
Author(s):  
Genbao Zhang ◽  
Yan Ran ◽  
Dongmei Luo
Keyword(s):  
Quality Control ◽  
Supply Chain ◽  
Customer Satisfaction ◽  
Product Quality ◽  
Manufacturing Industry ◽  
Unsolved Problem ◽  
Quality Prediction ◽  
Full Life Cycle ◽  
Manufacturing Supply Chain ◽  
Ensure Product Quality

Supply chain quality is the assurance of product quality in its full life-cycle. Although supply chain quality control is a hot topic among researchers, supply chain quality prediction is actually an important but unsolved problem in manufacturing industry. In this paper, an approach of manufacturing supply chain quality prediction based on quality satisfaction degree is proposed to control supply chain better, in order to help ensure product quality. Supply chain quality prediction 3D model and model based on customer satisfaction and process control are established firstly. And then technologies used in quality prediction are studied, including quality prediction index system established on Expert scoring -AHP and prediction workflow built on ABPM. Finally an example is given to illustrate this approach. The customer satisfaction prediction result of supply chain quality can help supply chain management, and the quality prediction software system can make it easier, which provides a new direction for the product quality control technology research.

Measuring project management inputs throughout capital project delivery

2016 ◽  
Vol 34 (7) ◽  
pp. 1167-1182 ◽  
Author(s):  
Sungmin Yun ◽  
Jiyong Choi ◽  
Daniel P. Oliveira ◽  
Stephen P. Mulva ◽  
Youngcheol Kang
Keyword(s):  
Project Management ◽  
Project Delivery
Sign in / Sign up

Export Citation Format

Share Document