Khaleel Malik, Tariq Bashir and Tariq Mahmood Ali
This paper aims to identify current challenges that hinder university–industry (U-I) collaboration in Pakistan and presents future opportunities for promoting such collaborations…
Abstract
Purpose
This paper aims to identify current challenges that hinder university–industry (U-I) collaboration in Pakistan and presents future opportunities for promoting such collaborations in developing countries.
Design/methodology/approach
This exploratory study presents new empirical evidence obtained from Pakistan via a questionnaire survey of 24 universities, 25 interviews with key stakeholders including industry managers and outputs from a high level workshop event.
Findings
Although there is limited evidence of U-I engagement in Pakistan, the findings show that a lack of coordination between government, universities and industrial firms has hindered knowledge transfer between universities and industry. Such steps as utilising intermediaries to help broker effective collaborations and building trust-based relationships can help in socialising these types of scientific activities.
Research limitations/implications
Any overall conclusions drawn from this exploratory study can only be tentative, as the findings represent a snapshot of current U-I collaboration initiatives in Pakistan.
Practical implications
Less stringent policy interventions from government entities, as well as more universities willing to invite industry input on their board of studies might enable co-development of some university curriculums with industry partners. U-I collaborations could also help to boost innovation efforts in developing country firms.
Originality/value
This paper also offers awareness into benefits of teaching activity collaboration with industry partners, which has been an under explored area of past U-I collaboration studies. The findings should be of interest for both innovation policy and higher education policy researchers.
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Ishita Afreen Ahmed, Shahfahad Shahfahad, Mirza Razi Imam Baig, Swapan Talukdar, Md Sarfaraz Asgher, Tariq Mahmood Usmani, Shakeel Ahmed and Atiqur Rahman
Deepor Beel is one of the Ramsar Site and a wetland of great biodiversity, situated in the south-western part of Guwahati, Assam. With urban development at its forefront city of…
Abstract
Purpose
Deepor Beel is one of the Ramsar Site and a wetland of great biodiversity, situated in the south-western part of Guwahati, Assam. With urban development at its forefront city of Guwahati, Deepor Beel is under constant threat. The study aims to calculate the lake water volume from the water surface area and the underwater terrain data using a triangulated irregular network (TIN) volume model.
Design/methodology/approach
The lake water surface boundaries for each year were combined with field-observed water level data to generate a description of the underwater terrain. Time series LANDSAT images of 2001, 2011 and 2019 were used to extract the modified normalized difference water index (MNDWI) in GIS domain.
Findings
The MNDWI was 0.462 in 2001 which reduced to 0.240 in 2019. This shows that the lake water storage capacity shrank in the last 2 decades. This leads to a major problem, i.e. the storage capacity of the lake has been declining gradually from 20.95 million m3 in 2001 to 16.73 million m3 in 2011 and further declined to 15.35 million m3 in 2019. The fast decline in lake water volume is a serious concern in the age of rapid urbanization of big cities like Guwahati.
Originality/value
None of the studies have been done previously to analyze the decline in the volume of Deepor Beel lake. Therefore, this study will provide useful insights in the water resource management and the conservation of Deepor Beel lake.
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Mohammad Rishad Faridi and Mubeen Ahmad
By reading and understanding this case study, students are expected to: 1.Able to understand and review the impact of unethical practices from accounting perspective; 2.Able to…
Abstract
Learning Outcomes
By reading and understanding this case study, students are expected to: 1.Able to understand and review the impact of unethical practices from accounting perspective; 2.Able to make an analysis of how one unethical act triggers a series of forced unethical acts (ripple effect); 3.Identify the unfair practices as well as be proactive in preventing unfair practices in the business day to day affairs; 4.Able to relate the function of various ratios (current ratio, quick ration, debt to asset ratio, debt to equity ratio etc.) and its impact on the business performance; and 5.Able to apply various lean quality tools, doing the root cause analysis in identifying and solving problems.
Case Overview/Synopsis
T.M. Exports (TME) was an India-based privately owned and operated enterprise. The company had a brilliant employee named Sanjay, who was a 12-year veteran. TME’s Business Intelligence (BI) department at TME head office, Kanpur, India, ostensibly learned on April 8, 2019, from the rumors about a brand-new vehicle dished out to Sanjay by his friend who made fortune worth of millions from certain transactions. To add fuel to the fire, another incident surfaced concerning a warehouse keeper, Mohit, who was also involved in embezzlement in one of the sales offices. On May 16, 2019, BI reported these two incidents to the internal auditor who launched an internal investigation to get to root of this case. Consequently, the company owner, Tariq Mahmood got himself caught up in a dilemma to fire both Sanjay and Mohit only or restructure the organization for better transparency and integrative approach in future. Moreover, the newly appointed Chief Executive Officer had the dilemma of keeping high safety stock to maximize service level or keeping conservative safety stock and rely on-spot market-buying if demand spiked. He decided and instructed all the warehouses to keep higher inventories to meet the forecasted demand, considering unexpected spikes in demand witnessed historically. Thus, increase in inventory caused panic in the sales department as demand was sluggish. He, therefore, offered high discounted prices to liquidate the stock. This study integrated the theories of accounting/financial ratio metrics, accounts reconciliation, business ethics and lean tools. It was demonstrated in this case that the irregularities in sales accounting and their inability of reconciliation had a serious impact on business performance. The concept of total reward was also invoked to understand the disruptive and unscrupulous practices.
Complexity Academic Level
This case has been particularly focused on undergraduate and postgraduate early-stage-level students pursuing business or commerce program, particularly those specializing in accounting (sales accounting) and human resource management courses.
Supplementary materials
Teaching notes are available for educators only.
Subject Code
CSS 1: Accounting and Finance.
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Muhammad Arif Mahmood, Chioibasu Diana, Uzair Sajjad, Sabin Mihai, Ion Tiseanu and Andrei C. Popescu
Porosity is a commonly analyzed defect in the laser-based additive manufacturing processes owing to the enormous thermal gradient caused by repeated melting and solidification…
Abstract
Purpose
Porosity is a commonly analyzed defect in the laser-based additive manufacturing processes owing to the enormous thermal gradient caused by repeated melting and solidification. Currently, the porosity estimation is limited to powder bed fusion. The porosity estimation needs to be explored in the laser melting deposition (LMD) process, particularly analytical models that provide cost- and time-effective solutions compared to finite element analysis. For this purpose, this study aims to formulate two mathematical models for deposited layer dimensions and corresponding porosity in the LMD process.
Design/methodology/approach
In this study, analytical models have been proposed. Initially, deposited layer dimensions, including layer height, width and depth, were calculated based on the operating parameters. These outputs were introduced in the second model to estimate the part porosity. The models were validated with experimental data for Ti6Al4V depositions on Ti6Al4V substrate. A calibration curve (CC) was also developed for Ti6Al4V material and characterized using X-ray computed tomography. The models were also validated with the experimental results adopted from literature. The validated models were linked with the deep neural network (DNN) for its training and testing using a total of 6,703 computations with 1,500 iterations. Here, laser power, laser scanning speed and powder feeding rate were selected inputs, whereas porosity was set as an output.
Findings
The computations indicate that owing to the simultaneous inclusion of powder particulates, the powder elements use a substantial percentage of the laser beam energy for their melting, resulting in laser beam energy attenuation and reducing thermal value at the substrate. The primary operating parameters are directly correlated with the number of layers and total height in CC. Through X-ray computed tomography analyses, the number of layers showed a straightforward correlation with mean sphericity, while a converse relation was identified with the number, mean volume and mean diameter of pores. DNN and analytical models showed 2%–3% and 7%–9% mean absolute deviations, respectively, compared to the experimental results.
Originality/value
This research provides a unique solution for LMD porosity estimation by linking the developed analytical computational models with artificial neural networking. The presented framework predicts the porosity in the LMD-ed parts efficiently.
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Asad Waqar Malik, Muhammad Arif Mahmood and Frank Liou
The purpose of this research is to enhance the Laser Powder Bed Fusion (LPBF) additive manufacturing technique by addressing its susceptibility to defects, specifically lack of…
Abstract
Purpose
The purpose of this research is to enhance the Laser Powder Bed Fusion (LPBF) additive manufacturing technique by addressing its susceptibility to defects, specifically lack of fusion. The primary goal is to optimize the LPBF process using a digital twin (DT) approach, integrating physics-based modeling and machine learning to predict the lack of fusion.
Design/methodology/approach
This research uses finite element modeling to simulate the physics of LPBF for an AISI 316L stainless steel alloy. Various process parameters are systematically varied to generate a comprehensive data set that captures the relationship between factors such as power and scan speed and the quality of fusion. A novel DT architecture is proposed, combining a classification model (recurrent neural network) with reinforcement learning. This DT model leverages real-time sensor data to predict the lack of fusion and adjusts process parameters through the reinforcement learning system, ensuring the system remains within a controllable zone.
Findings
This study's findings reveal that the proposed DT approach successfully predicts and mitigates the lack of fusion in the LPBF process. By using a combination of physics-based modeling and machine learning, the research establishes an efficient framework for optimizing fusion in metal LPBF processes. The DT's ability to adapt and control parameters in real time, guided by machine learning predictions, provides a promising solution to the challenges associated with lack of fusion, potentially overcoming the traditional and costly trial-and-error experimental approach.
Originality/value
Originality lies in the development of a novel DT architecture that integrates physics-based modeling with machine learning techniques, specifically a recurrent neural network and reinforcement learning.
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Yaseer Arafat Durrani, Teresa Riesgo, Muhammad Imran Khan and Tariq Mahmood
Low-power consumption has become an important issue that cannot be ignored in System-on-Chip (SoC) design. The key challenge encountered by system design is how to maintain…
Abstract
Purpose
Low-power consumption has become an important issue that cannot be ignored in System-on-Chip (SoC) design. The key challenge encountered by system design is how to maintain balance between the estimation accuracy and speed. This paper aims at demonstrating an accurate and fast power estimation technique.
Design/methodology/approach
The methodology adopted in the paper is to use input patterns with the predefined statistical characteristics which helps to analyze the average power consumption of the different intellectual-property (IP) cores and the interconnects/buses in SoC design. Similarly the paper has implemented Genetic algorithm (GA) to generate sequences of input signals during the power estimation procedure.
Findings
The GA concurrently optimizes the input signal characteristics that influence the final solution of the pattern. In addition to that, a Monte-Carlo zero-delay simulation is also performed for individual IP core and bus at high-level. By the simple addition of these cores/buses, power is predicted by a novel macro-model function. In experiments, the average error is estimated at 13.84%.
Research limitations/implications
To present the research findings with clarity and to avoid complexities, the paper does not consider delay factors like glitches, jitter etc. in the power model.
Practical implications
The proposed methodology allowed accurate power/energy analysis of practical applications mapped onto Network-on-Chip (NoC) based Multiprocessors SoC platform. It enables the performance analysis of different design alternatives under the load imposed by complex applications.
Originality/value
This paper is an original contribution and the results demonstrate that our novel technique could be implemented to achieve fast and accurate power estimation in the early stage of any SoC design.
Tariq Mahmood and Khalid Hafeez
The purpose of this paper is to assess the performance of an e‐learning software system to ensure its teaching and learning quality, contextual relevance and longer operational…
Abstract
Purpose
The purpose of this paper is to assess the performance of an e‐learning software system to ensure its teaching and learning quality, contextual relevance and longer operational life to achieve economies of scale.
Design/methodology/approach
A Goal‐Question‐Metric (GQM) paradigm along with the ISO 9126 quality characteristics is proposed to assess performance of an in‐house e‐learning software system in terms of its functionality, usability, efficiency and effectiveness. The e‐learning software system was designed and implemented for teaching staff of developing countries attending the T&L “train the trainer” course at the Colombo Plan Staff College (CPSC), Manila, Philippines. The data were collected from the participants from 20 countries who attended the program over a period of three years.
Findings
The approach was very effective for assessing and evaluating various functions of the web‐based teaching and learning software system and assessing its suitability in teaching and learning, and interaction among the users. The findings were utilized to further improve the management and quality of the training program.
Research limitations/implications
Commitment and participation of stakeholders/users is required to appropriately define the assessment goals, generate underlying questions that define those goals, and identify the metrics that provide answers to those questions. The research has limitations similar to any other questionnaire based subjective data collection method, much relying upon the respondent judgments. Therefore, a sound mechanism for data collection, validation and analysis needs to be employed to ensure internal consistency and accuracy.
Social implications
Many e‐learning software systems are accessed across the globe and are utilized by a number of institutions simultaneously while crossing over national and geographical boundaries. Therefore, performance assessment based on different ethical and social values and language barriers, to meet the clientele requirements belonging to different social backgrounds, is essential. Also this research provides many guidelines to reduce the customization requirements for different nationalities, and therefore, makes overall implementation of the learning management system more efficient and cost effective.
Originality/value
Due to the generic nature of GQM approach, this framework can be applied to undertake performance assessment of an in‐house built, web‐based teaching and learning system using the selected ISO 9126 quality characteristics to ensure the appropriateness, longevity and sustainability of the learning system.
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Purpose: This chapter explores the role of advanced control systems in Industry 5.0, focusing on their potential to enhance human–robot collaboration (HRC) and intelligent…
Abstract
Purpose: This chapter explores the role of advanced control systems in Industry 5.0, focusing on their potential to enhance human–robot collaboration (HRC) and intelligent manufacturing. The research investigates how these systems can optimize interactions between humans and robots, leading to improved efficiency and safety in manufacturing environments.
Need for the study: The transition to Industry 5.0 necessitates a balance between human creativity and automation. This study addresses the need for advanced control systems that not only enhance efficiency but also align with the human-centric principles of Industry 5.0. It aims to fill the knowledge gap by examining the integration of these systems in collaborative human–robot settings.
Methodology: The research involves a comprehensive literature review and analysis of recent advancements in control systems within the Industry 5.0 context. Case studies and theoretical frameworks are employed to illustrate how these systems improve human–robot interactions (HRIs), drawing from practical experiences and academic research.
Findings: Advanced control systems significantly enhance the accuracy, safety, and efficiency of HRIs. Through predictive algorithms and real-time data analytics, these systems enable robots to adapt to human inputs, minimizing risks and maximizing productivity. The research also highlights the effectiveness of technologies like artificial intelligence (AI)-driven predictive control, adaptive robotics, and sensor integration in improving human–robot interfaces.
Practical implications: Integrating advanced control systems offers practical benefits such as improved operational efficiency, reduced downtime, and enhanced worker safety. These benefits enable industries to align their technological infrastructure with Industry 5.0 principles. The insights gained can also guide policymakers and industry leaders in developing regulations and standards for intelligent manufacturing technologies.
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Amani Khalaf Hamdan Alghamdi, Ali Aldossary and Waisi Elhassan
This classroom-based qualitative study explored the effectiveness of the debate learning strategy in female postgraduate education in Saudi Arabia, which is implementing its…
Abstract
Purpose
This classroom-based qualitative study explored the effectiveness of the debate learning strategy in female postgraduate education in Saudi Arabia, which is implementing its recent national development plan, Vision 2030. Educational reform is key to its transition to a modernized, knowledge-based economy. The debate format was used to elicit views on educational reforms and necessitated forming and articulating well-reasoned arguments and logic.
Design/methodology/approach
At a Saudi Eastern Province university, 13 female postgraduate students (preservice teachers) participated in a student-centered learning environment conducive to debates. Documents prepared for the debate underwent a qualitative content analysis.
Findings
Data were readily classified into five categories: educational reforms should meet 21st century skills, achieve educational outcomes, ensure Saudi Arabia’s knowledge-based economy, prioritize the role of the university and recognize the impact of both teachers and curricula. As key players in the nation’s future, participants affirmed the ongoing need for educational innovation and modernization.
Originality/value
While debates are an authentic part of Arabian heritage, they are less utilized in Saudi higher education settings. Findings affirm that debates are a beneficial learning strategy for bolstering future educators’ participation in Saudi Arabia’s educational reform.
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Khalid Mahmood, Muhammad Sajid, Nasir Ali and Tariq Javed
An attempt is made to study magnetohydrodynamic viscous fluid impinging orthogonally toward a stagnation point on a vertical surface lubricated with power law fluid. It has been…
Abstract
Purpose
An attempt is made to study magnetohydrodynamic viscous fluid impinging orthogonally toward a stagnation point on a vertical surface lubricated with power law fluid. It has been assumed that the surface temperature varies linearly with the distance from the stagnation point. The problem is governed by system of partial differential equations for both the base fluid and the lubricant. The continuity of velocity and shear stress is assumed at the interface layer between the base fluid and the lubricant. Dimensionless variables are introduced to transform original problem into ordinary differential equations. An implicit finite-difference scheme known as the Keller-Box method is implemented to obtain the numerical solutions. The influence of various important parameters is presented in the form of graphs and tables. The limiting cases for full and no-slip conditions are deduced from the present solutions. A comparison of the present results with the existing results in the special case validates the obtained numerical solutions. The purpose of this study is to see the behaviour of flow characteristics in the presence of lubrication.
Design/methodology/approach
The authors’ problem is governed by system of partial differential equations for both the base fluid and the lubricant. Dimensionless variables are introduced to transform original problem into ordinary differential equations. The obtained ordinary differential equation along with boundary conditions are highly nonlinear and coupled. An implicit finite-difference scheme known as the Keller-Box method is implemented to obtain the numerical solutions.
Findings
Some findings of this study are that the lubricant increases the velocity of the base fluid inside the boundary layer. In the case of full slip, the effects of viscosity are suppressed by the lubricant. The temperature of the base fluid decreases by increase in lubrication on the surface. By increasing the slip on the surface, the skin friction decreases and local Nusselt number increases, but the rate of increase or decrease is less in magnitude for the case of opposing flow. The similarity solutions only exist for n = 1/2. A non-similar solution is obtained for the other values of the power-law index n.
Originality/value
The study of flow phenomenon over a lubricated surface has important applications in machinery components such as fluid bearings and mechanical seals. Coating is another major application of lubrication including the preparation of thin films, printing, painting, etc. The authors hope that the current study will provide the roadmap for the future studies in this direction.