Strategies for Successful Project Execution – A Transformation in Project Delivery without Disruption

2021 ◽  
Author(s):  
Yogesh Chandra Srivastava ◽  
Abhishek Srivastava ◽  
Daniel Canning
Keyword(s):  
Manufacturing Industry ◽  
Petroleum Industry ◽  
Large Data ◽  
Poor Quality ◽  
Digital Tool ◽  
Cost Overruns ◽  
Lean Principles ◽  
Lump Sum ◽  
Company Culture ◽  
Culture Process

Abstract Cost overruns on lump sum turnkey projects have challenged Engineering, Procurement, and Construction (EPC) project implementations. Several causes can be attributed to this problem but common to all is that despite significant efforts spent in planning and estimating the job, most projects fail in the execution stage. A new approach to EPC projects execution and delivery combines better management of scope brought by the Advanced Work Packaging (AWP) procedure and efficiencies from the LEAN principles of an engaged workforce that was Toyota's success in manufacturing industry can be applied to construction industry. The implementation of this enhanced process supported by a digital tool, an end-to-end platform, can be extremely useful for projects in Petroleum Industry. Methods, Procedures, Process: The approach has been designed to tackle three crucial challenges of project execution: people (company culture), process inefficiencies and data handling. The sense of inclusion, empowerment of a worker and the clarity of scope of every activity to be performed have a profound impact on the performance of the worker. It is designed to involve all stakeholders (from the owner to the last member of the crew) giving them an opportunity to contribute to the project implementation. The proposed enhancement of the processes at every stage of the project (from engineering to completion) drastically reduces the traditional inefficiencies of EPC projects which are responsible for cost overruns, schedule delays and poor quality of work. Results, Observations, Conclusions: A plethora of digital tools used today in EPC industry create a large pool of data that can be leveraged to have an insight on the projects. However, all the data produced by different and disconnected tools are still used in silo and large data available creates complexity in analyzing and interpreting it. The AWP+LEAN approach brings transformation without disruption: an automated integration with existing systems used in the organization can be established in order to collect, give consistency and synchronize all the available information hassle-free. The novelty of the approach presented in the paper compared to the other practices is its non-disruptive nature. The idea is to combine in a consistent fashion, all the information collected during the project by different tools and orchestrate them to provide a deep insight and granular visibility to the project. This means that there are no switching costs for the EPC companies and less resistance from people in adopting the new processes, making the journey to improvement easy and smooth.

scholarly journals Industrial Case Study on Lean Manufacturing Implemented on Manufacturing Polypropylene Ropes Industry Amravati

2021 ◽  
Vol 9 (12) ◽  
pp. 1318-1323
Author(s):  
Vipul Deshpande
Keyword(s):  
Lean Manufacturing ◽  
Manufacturing Industry ◽  
Service Industry ◽  
Developing Economies ◽  
Labour Productivity ◽  
Shop Floor ◽  
Industrial Case Study ◽  
Lean Principles ◽  
Manufacturing Techniques

Abstract: Lean manufacturing has been one of the most standard method in the manufacturing and service industry for elimination of waste. Every manufacturing industry has to put in continuous effort for its survival in the current impulsive and competitive economy. The purpose of this paper is to investigate the adoption of lean manufacturing tools and techniques in the manufacturing industries. This paper is based on actual implementation of lean manufacturing techniques. It focuses on the execution of flow from the start until the end of the implementation, types of analysis and tools applied, evaluation methods and how the industry benefited from the implementation. In this case study we particularly focused on Shop floor management, Quality Management (QM), Supplier and Customer Management (SCM) and Workforce Management (WM). After going through various testing on implementation of Lean Manufacturing principles in Micro Small medium Enterprise (MSME), researcher studied thoughts of some author where they discussed pragmatic problems they overcome while implementing lean principles in developing economies MSME. At the end, the result shows that there is monthly increment in capital productivity and labour productivity. And decrement in inhouse rejection, breakdown hours and customer complaint from the implementation of lean.

scholarly journals Investigating Rework: Insights from the Malaysian Construction Industry

2021 ◽  
Vol 14 ◽  
pp. 1-9
Author(s):  
Jeffrey Boon Hui Yap ◽  
Shi Min Tan
Keyword(s):  
Quality Management ◽  
Construction Industry ◽  
Construction Projects ◽  
Poor Quality ◽  
Project Performance ◽  
Statistical Techniques ◽  
Cost Overruns ◽  
Delivery Performance ◽  
Communication Design ◽  
Design Changes

Construction practitioners recognise that rework is undesirable due to the detrimental effects. While rework literature has examined rework causation factors in construction projects, the problem continues to plague the industry resulting in poor delivery performance. To better understand this phenomenon and given the scarcity of Malaysian-based rework study, a questionnaire survey involving 130 Malaysian construction practitioners (consultants, contractors and clients) were undertaken to obtain feedback about nature, implications, causes and solutions for rework. Data were analysed using descriptive statistical techniques to prioritise the variables studied. From the analyses, rework is a causal factor for delays and cost overruns, higher wastage and productivity inhibitor. The findings revealed the leading causes of rework are poor quality management, improper planning, lack of communication, design changes and poor subcontractor management. Some practical rework minimisation approaches are also suggested to better manage and prevent rework towards enhanced project performance.

scholarly journals Towards Lean Teaching: Non-Value-Added Issues in Education

2020 ◽  
Vol 10 (6) ◽  
pp. 160
Author(s):  
Silvia Martínez Sanahuja
Keyword(s):  
Manufacturing Industry ◽  
Value Added ◽  
Lean Thinking ◽  
Lean Principles ◽  
Service Companies ◽  
Made In

Lean Thinking is a methodology based on improving the efficiency of productive processes by removing non-value-added issues. This methodology was firstly applied in the manufacturing industry, but it has also been applied to many service companies, bringing very good results. In the last decade, some works have tried to research the adaptation of Lean principles and practices to teaching, especially in technology and other STEAM subjects. In this sense, the aim of this work is to deepen this new trend by establishing what issues are non-value-added (waste) ones in education and classifying these kinds of waste in order to be able to analyze how to eliminate them. For this purpose, we adapt the classification made in other kinds of processes and extend other authors’ findings regarding this topic.

scholarly journals Productivity improvement in a client-based service company through value stream mapping and simulation

2021 ◽  
Author(s):  
Sam Ataei
Keyword(s):  
Manufacturing Industry ◽  
Service Industry ◽  
Simulation Analysis ◽  
Value Added ◽  
Simulation Models ◽  
Value Stream Mapping ◽  
Productivity Improvement ◽  
Lean Principles ◽  
Value Stream ◽  
Analysis Of Results

For many years, productivity improvement through value stream mapping and simulation has been studied in manufacturing industry where the flow of materials is visible and the work can be standardized. In recent years, the service industry has become a new arena for lean operations. Within the service industry, client-based companies have distinct challenges in streamlining their process, as it may not be feasible to standardize the needs of different clients. This thesis focuses on a case from a client-based company in the area of graphic communications and brand point management services. The thesis examines the application of lean principles towards a set of subjective processes and provides directions for improving productivity. Some lean methods utilized in the study include creating process flows, conducting operator interviews to back-up the process flow, collecting data such as processing time and creating a detailed values stream map of the retail packaging process in order to analyze any necessary areas of improvement. Value stream mapping has been used to identify the areas where the non-value-added tasks can be reduced, and simulation models have been used to imitate and predict the company's different scenarios in dealing with bottlenecks, different kinds of wastes, and to assess potential areas for improvements. The analysis of results indicates that it is necessary to have two different streams of the processes; one for a team-based job and another one for a non-team-based job. The proper touch points from each department have been found and value-added and non-value added times have been determined in order to create the current-state. Furthermore, future-states have been created with some recommendations kept in mind to validate the time savings. The results have been verified through a simulation analysis.

scholarly journals MARKETING ANALYTICS IN THE FUNCTION OF DECISION MAKING IN BANKS / MARKETING ANALITIKA U FUNKCIJI DONOŠENJA ODLUKA U BANKAMA

2017 ◽  
Vol 13 (1) ◽  
Author(s):  
Dušica Sanader ◽  
Marko Laketa ◽  
Luka Laketa
Keyword(s):  
Decision Making ◽  
Nearest Neighbor ◽  
Analytical Techniques ◽  
Large Data ◽  
Poor Quality ◽  
Business Analytics ◽  
Text Analytics ◽  
Quality Of Data ◽  
Marketing Model ◽  
Marketing Models

In this paper we have presented analytics as a crucial factor in marketing decision making. The banking environment is turbulent and complex today. The client is well educated and his needs are constantly changing. He has access to lot of information and has power of choice. His digital expectations are high: he needs to access banking products and services from any place and at any time. Also, the client is leaving data everywhere: in bank`s database and at different internet sites. As data are comparative advantages today, the bank is eager to collect them in order to analyze data and make marketing decisions. Analytics is helping bank in this new era of doing business. Analytics assumes analysis, interpretation and communication of understandable patterns in the data. It relies on mathematics and statistics techniques in order to find new knowledge and meaning of existing data. There are many analytics techniques which are based on algorithms and databases. Depending on which problem a bank needs to solve or what it aim wants to achieve, the bank uses one or more analytical techniques. Survival Analysis, Nearest Neighbor Classification, Neural Network, Logistic Regression and Decision Tree are the most common techniques used in banking sector.Marketing analytics models support marketing decisions. Marketing models enable bank to predict outcome (e.g. if a client is likely to leave) or to identify differences between group of clients. In order to achieve results, the bank has created different marketing models such as Response Models, Queues, Retention Models, Market Basket Analysis, and Win-Back Models. Marketing models are helping the bank to predict if the client will answer on offer which bank is offering through marketing campaigns. The aim of these models is to create target group of clients or segment with likelihood to increase their relationship with the bank. In order to create marketing model, the bank defines the aim which it wants to achieve. Usually, the bank wants to keep most profitable clients and to decrease costs. After defining the aim of marketing model, the bank collects, analyses and transforms data needed for creation of the model. Also, it is necessary to estimate data quality. If data are no longer of high quality, there can be issue with model results. Also, the bank has to take into consideration the volume, velocity and variety of data. Large data are collected from lots of data sources and stored in data warehouse or data marts using modern technologies. Model technologies help to convert data into valuable information which can be used for making decisions. After creation of a model, it is necessary to estimate its accuracy, comprehensibility and level of confidence in results given by the model. Also, every model has to be managed (quarterly or yearly) in order to test if the results are still valid or it has to be changed with a new model.Analytics gives competitive advantages to the bank. It can improve effectiveness of processes and organization and improve efficiency in making marketing decisions. The bank as a profit oriented organization tends to contact profitable customer in order to increase their value through customer lifetime value. In this way, the bank has a possibility to invest in relationship with clients which can be valuable in the long run. Analytics gives knowledge about the customer. It helps to discover pattern in large amount of data. The contribution of analytics can be seen in decreasing marketing costs by identifying clients who are likely to respond on marketing campaigns. Also, it contributes in pricing, channel management, selling, segmentation and product development. Today, text analytics is also important for banking business, as lots of data are unstructured and can be found in form of documents, blogs, video sharing and comments on internet sites. In order to use this kind of data, text analytics helps the bank to understand data and read them with certain limitation. However, there are also challenges which the bank faces when implementing analytics. Limited budget, employees without necessary skills for the development of models, poor quality of data, inadequate and unintegrated softer tools, problems with protection of client data as well as imprecisely defined aim of model can be resulted in unsatisfactory realization and poor position of analytics in the bank. In order to overcome these challenges, the bank needs to set up a strategy of analytics and to link it with all the internal processes in organization.

An empirical investigation on lean production system framework in the Indian manufacturing industry

2019 ◽  
Vol 26 (1) ◽  
pp. 296-316 ◽  
Author(s):  
Naga Vamsi Krishna Jasti ◽  
Rambabu Kodali
Keyword(s):  
Production System ◽  
Manufacturing Industry ◽  
Empirical Investigation ◽  
Lean Production ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Content Type ◽  
Lean Principles ◽  
Empirical Survey ◽  
High Level

PurposeThe purpose of this paper is to verify the applicability of proposed lean production system (LPS) framework in the Indian manufacturing industry.Design/methodology/approachThe authors conducted a cross-sectional study to collect responses from five major sectors, namely, automobile, process, machines and equipment, electronics and components and textile. They collected 200 responses to perform empirical validation from Indian manufacturing industry. They performed reliability analysis on the proposed framework of LPS in the Indian manufacturing industry.FindingsThe findings revealed that all the elements and sub-elements have a high value in reliability. Subsequently, the study performed principles component analysis on LPS framework. The empirical investigation revealed that the proposed LPS framework has a high level of reliability as well as validity in the Indian manufacturing industry. Hence, the study concluded that the LPS framework is helpful to implement lean principles in a structured manner in any Indian manufacturing industry to achieve excellence in organizational functions.Originality/valueThe authors conducted an empirical survey to verify the applicability of the proposed LPS framework in the Indian manufacturing industry. They observed that many researchers proposed various LPS frameworks, but none of the researchers focused on verifying the proposed frameworks. To overcome, the same limitations, the study verified the proposed framework with the larger sample size.

Digitally Enabled Organizations- Leveraging New Age Technologies

2021 ◽  
Author(s):  
Yogesh Chandra Srivastava ◽  
Abhishek Srivastava ◽  
Consuelo Granata
Keyword(s):  
Construction Industry ◽  
Poor Quality ◽  
Process Data ◽  
Cost Overruns ◽  
Digital Twin ◽  
Common Path ◽  
Free Construction ◽  
Planning Project ◽  
Iot Devices ◽  
And Function

Abstract When inadequate information appears via a long-winded channel, project leaders usually struggle to make timely decisions. There is frequently a lack of visibility, contractual and organizational fragmentation, and genuine facts being segregated and concealed due to an optimism bias. Despite the finest planning and estimation efforts, projects frequently exceed their budgets or experience delays of more than 30%. The paper outlines the importance of data and of data use to improve the performance in projects planning and delivery. The data value and hierarchy are reviewed in the context of the construction industry and the importance of a smooth digitalization process for ensuring acceptance and adoption is discussed. The concept of ‘digital construction blocks’TM and Lean thinking is introduced to address the problem of complexity which is commonly recognized as the main cause of cost overruns, time delays, and poor quality and safety for the construction industry. To capture the footprint of how the asset was built, the authors propose the Digital Twin of Execution adding dynamism to the commonly discussed Digital Twin of Asset, which is more static when the asset has already been constructed. The project is organized into digital blocks, allowing all project functions and disciplines to focus on a common path of construction, allowing for an earlier start of a constraint-free construction and, as a result, de-risking and compressing the total execution schedule. Data from existing systems and technologies is unlocked and placed in automated processes, allowing thousands of documents, activities, and fast-moving events to be collected in digital blocks of construction. The digital block is connected throughout project stages and taken across all aspects of the project, including plot plans, activity plans, drawings, 3D, materials, and so on, resolving the project's disarray caused by manual and analogue procedures. The entire planning, project setup, and execution process is aided by GIS, which provides visibility at various levels of magnification via an interactive geo spatial map superimposed with plot plans, timetables, and work packages. Artificial intelligence (AI) and machine learning (ML) can be used to forecast the probability of danger in various field operations. It's done by using IoT devices implanted in employees’ PPE and in the environment to process data collected on the system. Digital Control Tower can provide a smart dashboard that not only displays the KPIs but also helps the user prioritize his next steps. It may provide an overall view of the project's progress and KPIs, as well as get to the root of a problem in a specific installation area, raise red flags and alerts, and function as a user's assistant by predicting errors early on.

scholarly journals Key Benefits of Adopting Lean Manufacturing Principles in Indian Construction Industry

2018 ◽  
Vol 172 ◽  
pp. 05002 ◽  
Author(s):  
Subhav Singh ◽  
Saurav Dixit ◽  
Sanjay Sahai ◽  
Ameet Sao ◽  
Yogesh Kalonia ◽  
...  
Keyword(s):  
Literature Review ◽  
Lean Manufacturing ◽  
Manufacturing Industry ◽  
Sampling Technique ◽  
Primary Data ◽  
New Production ◽  
Lean Principles ◽  
Body Of Knowledge ◽  
Tools And Techniques ◽  
Structured Questionnaire

Objectives of a lean production system (LPS) is to maximise value and minimise waste, by applying specific lean tools and techniques such as 5S, LPS, JIT, VSM, PULL, Kaizen, Six Sigma and many others techniques in a new production process. LPS is a philosophy based on the lean principles developed in Toyota by [1] [2] named as lean manufacturing principles and further developed as lean philosophy [3]. The main benefits of utilising 5S are identified from the literature review and a structured questionnaire is prepared. The data is collected using convenient sampling technique from the professionals working in the industry. The collected data is analysed using different tools and techniques. A total of 9 benefits were identified from the literature review and the expert opinion from the industry. The findings of the study contribute to the existing body of knowledge and lay down few suggestions to the industry for implementing 5S in the Indian context. The findings of the study conclude that the lean principles support the Indian manufacturing industry to improve productivity, quality, and reduction in cycle time The study is conducted using primary data collection and the sample size is small (86).

Implementation of Lean Tools in an Automotive Industry for Productivity Enhancement - A Case Study

2017 ◽  
Vol 29 ◽  
pp. 175-185 ◽  
Author(s):  
S. Nallusamy ◽  
M.A. Adil Ahamed
Keyword(s):  
Automotive Industry ◽  
Manufacturing Industry ◽  
Value Added ◽  
Value Stream Mapping ◽  
Lean Principles ◽  
Value Stream ◽  
Whole Process ◽  
Lean Tools ◽  
Cycle Efficiency

Value stream mapping has the reputation of uncovering waste in manufacturing, production and business process. This helps in identifying and removing or streaming value added steps and eliminating non value added steps. In this study the process was analyzed to find an opportunity to drastically reduce the number of actions and to simplify the same. By reducing waste the proportion of value adding time increases in the whole process and the process throughput speed could also be increased. This makes the redesigned process more effective and more efficient. The reengineered process was flow charted in its future state with process steps and information flows re-engineering, simplified and economized. The current layout was analysed to identify and eliminate the non value added activities through lean tools like 5S, VSM and line balancing in a manufacturing industry. From the observed results, it was concluded that the non value added time could be reduced by about 13% while the process cycle efficiency could be increased by about 10%. Virtual simulation was conducted to verify and validate the existing situation as well as to propose the results and the effectiveness of lean principles in a systematic manner with the help of ARENA.

scholarly journals Conceptual Model of Contractor Satisfaction in the Industrialized Building System (IBS) Implementation

2015 ◽  
Vol 773-774 ◽  
pp. 828-833 ◽  
Author(s):  
Riduan Yunus ◽  
Md. Asrul Nasid Masrom ◽  
Abd Halid Abdullah ◽  
Fajaruddin Mustakim
Keyword(s):  
Construction Projects ◽  
Developed Countries ◽  
Poor Quality ◽  
Advanced Technology ◽  
Systematic Analysis ◽  
Cost Overruns ◽  
Company Reputation ◽  
Negative Perceptions ◽  
Building System ◽  
Quality Construction

Most construction projects have been recognized as underperformance due to the increase numbers of delays, cost overruns and poor quality construction. The inability of contractors to meet clients’ expectation has been found as one of the main causes that contribute to the project failure. Alternatively, key players are encouraged to shift from the conventional method towards Industrialized Building System (IBS). Also known as prefabrication, previous researchers proved that IBS is able to minimize on-site works and increase the building quality in a controlled environment. However, the take up rate of IBS in Malaysian construction industry is still low as compared to developed countries basically due to incapability of contractors in mastering an advanced technology and their negative perceptions in IBS implementation. In addition, a limited subjective performance measurement, particularly to evaluate contractors' satisfaction level in implementing the IBS construction is still neglected. This is a review paper for an on-going research in examining contractor satisfaction levels on the IBS implementation and its attributes. The measurements are based on contractor perception instead of the typical approaches that solely concerned with objective measures (time, cost and quality). As a result, several attributes that integrate sustainability elements (economical, environmental, social, and institutional factors) are also determined. These attributes are then developed through systematic analysis to enhance the ability of IBS in improving contractors’ satisfaction. The developed framework is expected to help the project team in performing IBS projects more efficiently, ensuring the quality meet the standards and encouraging effective communication between participants. Moreover, the findings will be useful to assist contractors in enhancing competitiveness, increase company reputation and improve project deliveries to meet global challenges.

Sign in / Sign up

Export Citation Format

Share Document