Assessing design process in engineering consultancy firms using lean principles

SIMULATION ◽  
2012 ◽  
Vol 88 (12) ◽  
pp. 1522-1536 ◽  
Author(s):  
M Marzouk ◽  
I Bakry ◽  
M El-Said
Keyword(s):  
Design Process ◽  
Comprehensive Model ◽  
Output Analysis ◽  
Lean Principles ◽  
Proposed Model ◽  
Client Request ◽  
Using Data ◽  
Consultancy Firm ◽  
The Impact

The aim of this research is to provide a tool for assessing the impact of applying lean principles to the design process at construction consultancy firms. Through several interviews, a comprehensive model was built to simulate the design process, using data from a leading consultancy firm in Egypt. The model contains the main processes and activities that form different phases of the design process and depicts the interconnectivity of processes and activities needed to create a complete design package upon client request. The research describes how the five main lean principles are integrated in the model. A case study is considered to demonstrate the effect of using the proposed model on the design process and to illustrate how the design process performs differently when lean principles are introduced. Case study output analysis reveals 40% improvement in the lean process performance measured in terms of activity utilization rates.

scholarly journals Google Traffic sebagai Masukan Kebijakan Transportasi Perkotaan (Studi Kasus: Kota Bandar Lampung)

2020 ◽  
Vol 22 (3) ◽  
pp. 409-417
Author(s):  
Muhammad Zainal Ibad ◽  
Rahayu Sulistyorini ◽  
Chania Rahmah
Keyword(s):  
Urban Areas ◽  
Urban Transportation ◽  
Transportation Policy ◽  
Time Data ◽  
Global Positioning ◽  
Transportation Policies ◽  
Movement System ◽  
Using Data ◽  
The Impact

Congestion in urban areas is vulnerable because of the impact of the growth of activities and an increasingly specialized and complex economy. For this reason, it is necessary to formulate a good urban transportation policy to accommodate increased urban transportation needs. Google Traffic is a feature found on Google Maps to see the level of congestion in an area. Google Traffic can detect an area with red, yellow or green indications through the principle of Real Time Data using data from the Global Positioning System (GPS). This study wanted to see how the use of the Google Traffic Feature as input to urban transportation policies by looking at existing urban transportation policies, analyzing the movement system model on Google Traffic, and analyzing the development of Google Traffic model policies, which would be useful for the development of Urban Transportation Policies, especially Bandar Lampung City as a case study.

Standardizing Instructions for Ice and Cold Pack Use Can Mitigate Summer Temperatures on Two Commercially Available Outdoor Courier Lockboxes

2021 ◽  
Vol 156 (Supplement_1) ◽  
pp. S119-S120
Author(s):  
S A Hart ◽  
J R Wiencek
Keyword(s):  
Extreme Temperatures ◽  
Direct Sunlight ◽  
Data Loggers ◽  
Summer Temperatures ◽  
The Mean ◽  
Using Data ◽  
Cold Pack ◽  
The Impact ◽  
And Storage

Abstract Introduction/Objective Clinical and Laboratory Standards Institute document GP44 recommends samples avoid temperatures >22°C during sample transport and storage. Outdoor courier lockboxes used in external sample transport can experience extreme temperatures (>40°C) in the summer. Ice (frozen at -20°C) and cold (refrigerated at 4-8°C) packs can be used to reduce internal lockbox temperatures during hot summer days. Unfortunately, there are no universally accepted instructions to maintain internal lockbox temperatures during these conditions. Therefore, our goal was to elucidate the impact of placing ice and cold packs at two specific time points to mitigate external summer temperatures in two commercially available outdoor courier lockboxes used at our institution. Methods/Case Report Two pairs of uniquely manufactured courier lockboxes (steel vs. urethane polymer) were placed outside in direct sunlight in Nashville, Tennessee during the second week of June 2021. Ambient outdoor and lockbox temperatures were monitored using data loggers during a four-day cycle. Each type of lockbox design had a control with no ice or cold packs. These controls were then compared to each experimental, paired lockbox with four ice packs placed at 8am and replaced with four cold packs at 4pm. Results (if a Case Study enter NA) The mean ambient outdoor temperature over these four days was 27.7°C (range: 22.2-39.8°C). Temperatures within the steel and urethane polymer lockboxes without ice or cold packs was 28.3°C (range: 22.4-40.8°C) and 31.6°C (range: 23.8-41.0°C), respectively. The addition of four ice packs at 8am and replaced with four cold packs at 4pm reduced temperatures in the steel box to 24.3°C (range: 17.4-27.9°C) whereas in the urethane polymer box temperatures were reduced to 13.4°C (range: 6.6-18.1°C). Conclusion Temperatures inside outdoor lockboxes can increase in summer commonly above the outdoor ambient temperature. Standardizing instructions for ice and cold packs can reduce internal outdoor courier lockbox temperatures during summer months, especially in urethane polymer lockboxes.

The impact of accreditation agencies and other powerful stakeholders on the performance measurement in Polish universities

2019 ◽  
Vol 14 (1) ◽  
pp. 84-102 ◽  
Author(s):  
Dorota Dobija ◽  
Anna Maria Górska ◽  
Anna Pikos
Keyword(s):  
Performance Measurement ◽  
Performance Information ◽  
Case Study Method ◽  
Content Type ◽  
Additional Layer ◽  
Using Data ◽  
Polish Higher Education ◽  
The Impact ◽  
Collection Methods

Purpose The purpose of this paper is to extend the understanding of how internal organisational processes change in response to external demands, by investigating the changes undertaken by two Polish business schools (b-schools) in anticipation of and in response to the demands of accreditation agencies (AAs) and other powerful stakeholders. Specifically, it examines the internal research-related performance measurement (PM) system and changes in the use of performance information (PI). Design/methodology/approach The case study method is adopted, using data from publicly available documents and interviews with the faculty and management at the two schools. The data are interpreted and analysed using the neo-institutional theory. Findings Powerful stakeholders are the primary reason for changes in PM systems and the manner in which PI is used. Specifically, AAs reflect an additional layer in the PM system, allowing for a downward cascading PI effect. This also leads to a wider use of PI across different organisational levels. Research limitations/implications This study focusses on two case studies in a region still undergoing transition. Thus, this analysis could be reinforced through additional cases, different data collection methods and cross-country and between-country comparative analyses. Originality/value The changes in PM systems and particularly the use of PI are discussed in the context of Polish higher education (HE) and, more broadly, the entire Central and Eastern Europe (CEE) region. Moreover, the consideration of two b-school cases facilitates a comparative analysis of the differences in PM systems and the use of PI in the context of stakeholders’ PI needs.

A Proposed Model for Predicting Employees’ Performance Using Data Mining Techniques

2020 ◽  
Vol 17 (8) ◽  
pp. 3804-3809
Author(s):  
A. Yovan Felix ◽  
Karthik Reddy Vuyyuru ◽  
Viswas Puli
Keyword(s):  
Data Mining ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Human Resource Professionals ◽  
Quality Factors ◽  
Proposed Model ◽  
Opportune Time ◽  
Using Data ◽  
The Impact

Human Resource Management has gotten one of the basic pastimes of supervisors and chiefs in practically wide variety of corporations to include plans for accurately locating profoundly qualified representatives. In similar way, administrations come to be intrigued about the presentation of these representatives. Particularly to guarantee the fitting person apportioned to the beneficial employment on the opportune time. From right here the enthusiasm of statistics in mining process has been growing that its goal is disclosure of facts from huge measures of statistics. Three fundamental Data Mining strategies were applied for building the arrangement version and distinguishing the quality factors that emphatically impact the exhibition. To get a profoundly actual version, a few trials were achieved dependent on the beyond procedures which can be actualized in WEKA tool for empowering leaders and Human Resource professionals to anticipate and improve the exhibition of their representatives. This paper makes use of Hadoop for the remedy of great measure of data with which may be guaranteed to be able to decide the impact.

Computer-aided design versus sketching: An exploratory case study

2012 ◽  
Vol 26 (3) ◽  
pp. 317-335 ◽  
Author(s):  
David Veisz ◽  
Essam Z. Namouz ◽  
Shraddha Joshi ◽  
Joshua D Summers
Keyword(s):  
Design Process ◽  
Computer Aided Design ◽  
Mechanical Engineering ◽  
Computer Assisted ◽  
Cad Tools ◽  
Design Project ◽  
Computer Aided ◽  
Aided Design ◽  
The Impact

AbstractThis paper presents a preliminary comparison between the role of computer-aided design (CAD) and sketching in engineering through a case study of a senior design project and interviews with industry and academia. The design team consisted of four senior level mechanical engineering students each with less than 1 year of professional experience are observed while completing an industry sponsored mechanical engineering capstone design project across a 17 week semester. Factors investigated include what CAD tools are used, when in the design process they are implemented, the justification for their use from the students' perspectives, the actual knowledge gained from their use, the impact on the final designed artifact, and the contributions of any sketches generated. At each design step, comparisons are made between CAD and sketching. The students implemented CAD tools at the onset of the project, generally failing to realize gains in design efficiency or effectiveness in the early conceptual phases of the design process. As the design became more concrete, the team was able to recognize clear gains in both efficiency and effectiveness through the use of computer assisted design programs. This study is augmented by interviews with novice and experienced industry users and academic instructors to align the trends observed in the case study with industry practice and educational emphasis. A disconnect in the perceived capability of CAD tools was found between novice and experienced user groups. Opinions on the importance of sketching skills differed between novice educators and novice industry professionals, suggesting that there is a change of opinion as to the importance of sketching formed when recent graduates transition from academia to industry. The results suggest that there is a need to emphasize the importance of sketching and a deeper understanding as to the true utility of CAD tools at each stage of the design process.

Demystifying the benefits and risks of Lean service innovation: a banking case study

2015 ◽  
Vol 17 (4) ◽  
pp. 364-380 ◽  
Author(s):  
Yiwei Gong ◽  
Marijn Janssen
Keyword(s):  
Service Innovation ◽  
Innovation Process ◽  
Scientific Work ◽  
Content Type ◽  
Lean Principles ◽  
Knowledge Based ◽  
Knowledge Perspective ◽  
The Impact ◽  
Innovation Processes

Purpose – The purpose of this paper is to demystify Lean for service innovation by investigating its benefits and risks. Lean innovation is a relatively new approach which is advocated in management literature. Little scientific work about its practice exists in the field. Although the Lean innovation principles are clear, there is limited evidence about their impact on service innovation processes. Design/methodology/approach – From the knowledge-based view (KBV) of the firm, a framework for understanding Lean innovation is developed. Using this framework, the benefits and risks of Lean innovation are analyzed in a case study. Findings – The case study not only shows that Lean service innovation can have many advantages, but also draws attention to the risks. The risks might result in the inability to follow Lean principles and might hamper the realization of the benefits. Using the case studies, study mitigation mechanisms are identified. Originality/value – This research offers a new knowledge perspective and a better understanding of Lean service innovation. There are two main contribution of this paper. First of all, it reports on the impact of Lean innovation on a bank’s innovation processes, both its benefit and risks. This has a contribution to understanding the innovation process in service organizations. Second, this paper extends Lean innovation to a service context and contributes to the knowledge basis of Lean innovation.

Impact of Residential and Public Charging Stations of Electric Vehicles on Distribution System by Stochastic Simulation

2015 ◽  
Vol 1092-1093 ◽  
pp. 375-380
Author(s):  
Suthida Ruayariyasub ◽  
Sompon Sirisumrannukul ◽  
Suksan Wangsatitwong
Keyword(s):  
Monte Carlo ◽  
Electric Vehicles ◽  
Distribution System ◽  
Stochastic Approach ◽  
Local Distribution ◽  
Battery Charging ◽  
Proposed Model ◽  
Charging Stations ◽  
The Impact

This paper investigates the impact of electric vehicles battery charging on the distribution system load if electric vehicles (EVs) are widespread used on roads. Stochastic approach based on a Monte Carlo method is developed in this study to simulate EVs charging load in two cases: 1) normal charge service at home, and 2) quick charge service at public charging stations. To demonstrate the model, a 22-kV distribution system of Pattaya City operated by Provincial Electricity Authority of Thailand (PEA) is employed in the case study. The results indicate the capability of the proposed model to exhibit the impact of EVs charging load on the local distribution system.

A Model of Vulnerability for Adult Sexual Victimization: The Impact of Attachment, Child Maltreatment, and Scarred Sexuality

2009 ◽  
Vol 24 (4) ◽  
pp. 485-501 ◽  
Author(s):  
Joan A. Reid ◽  
Christopher J. Sullivan
Keyword(s):  
Child Neglect ◽  
Structural Equation ◽  
Sexual Victimization ◽  
Equation Modeling ◽  
Child Attachment ◽  
Sexual Beliefs ◽  
Proposed Model ◽  
Using Data ◽  
A Prospective Study ◽  
The Impact

Extending previous research, this study utilized structural equation modeling to examine the effects of poor mother/child attachment, child neglect, juvenile sexual victimization (JSV), and Finkelhor and Browne’s (1985) proposed construct of traumatic sexualization on vulnerability to adult sexual victimization. The proposed model was assessed using data drawn from a sample of African American females involved in a prospective study of child sexual abuse survivors. This group was matched to similar others without such history. Findings suggest that child neglect worsens with poor mother/child attachment, resulting in a greater likelihood of JSV. Both neglect and JSV impact shaming sexual beliefs and behaviors, contributing to the risk for adult sexual victimization. This set of variables accounted for 27% of variance in adult sexual victimization.

scholarly journals COVID-19 Risk Minimization Decision Making Strategy Using Data-Driven Model

2021 ◽  
Vol 3 (1) ◽  
pp. 57-66
Author(s):  
Akey Sungheetha
Keyword(s):  
Decision Making ◽  
Data Driven ◽  
Risk Minimization ◽  
Proposed Model ◽  
Epidemic Intelligence ◽  
Spread Dynamics ◽  
Using Data ◽  
The Impact ◽  
Global Strategies

In order to establish social resilient and sustainable cities during the pandemic outbreak, it is essential to forecast the epidemic trends and trace infection by means of data-driven solution addressing the requirements of local operational defense applications and global strategies. The smartphone based Digital Proximity Tracing Technology (DPTT) has obtained a great deal of interest with the ongoing COVID-19 pandemic in terms of mitigation, containing and monitoring with the population acceptance insights and effectiveness of the function. The DPTTs and Data-Driven Epidemic Intelligence Strategies (DDEIS) are compared in this paper to identify the shortcomings and propose a novel solution to overcome them. In terms of epidemic resurgence risk minimization, guaranteeing public health safety and quick return of cities to normalcy, a social as well as technological solution may be provided by incorporating the key features of DDEIS. The role of human behavior is taken into consideration while assessing its limitations and benefits for policy making as well as individual decision making. The epidemiological model of SEIR (Susceptible–Exposed–Infectious–Recovered) provides preliminary data for the preferences of users in a DPTT. The impact of the proposed model on the spread dynamics of Covid-19 is evaluated and the results are presented.

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