Process Reengineering Research Articles

Influence of Business Process Re-Engineering on Customer Satisfaction in Corporate Organisations: A Case of Sterling Bank PLC.

Business Process Re-Engineering (BPR) has emerged as a crucial strategic tool for organisations aiming to enhance performance and competitiveness in today’s dynamic market. This study examines the influence of BPR on customer satisfaction within corporate organisations, with a particular focus on Sterling Bank Plc. A survey research design was adopted, utilising structured questionnaires to collect quantitative and qualitative data from 100 bank employees. The data were analysed using multiple linear regression to determine the influence of BPR practices and customer satisfaction in corporate organisations. The results reveal a strong positive correlation, with an adjusted R-squared value of 56.8% and a standardised coefficient of 0.775, indicating that effective BPR implementation significantly enhances customer satisfaction (p-value = 0.000). The findings demonstrate that BPR is essential for improving customer loyalty, service quality, and overall organisational success. It underscores the role of BPR in fostering a customer-centric approach, which is critical in a highly competitive business environment. To maximise these benefits, the study recommends that organisations continuously review and refine their BPR strategies, invest in employee training, and leverage advanced technologies to optimise business processes. Furthermore, fostering a culture of innovation and responsiveness and implementing regular feedback mechanisms is vital for ensuring that BPR efforts align with customer expectations and drive long-term improvements in organisational performance.

Optimizing Business Processes: Harnessing Robotic Process Automation in Chinese Enterprises

Abstract: With the continuous development of science and technology, the study of digital technology in China has become increasingly in-depth. As an effective means for enterprises to achieve automated management and standardized operations, Robotic Process Automation (RPA) has attracted widespread attention. RPA process automation technology can improve the efficiency of financial management and ensure the quality of work while meeting enterprise development needs. This study explores the multifaceted applications and impact of RPA in the financial shared services sector. By utilizing RPA, companies can streamline processes, reduce costs and increase overall operational flexibility. The study delves into the theoretical underpinnings of RPA adoption, drawing on concepts such as economies of scale, process reengineering and information processing theory. In addition, the paper illuminates the transformative impact of RPA on business operations through field case studies, including the pioneering efforts of Sinochem International. By providing a comprehensive analysis of the pros and cons of RPA implementation, this paper provides valuable insights for Chinese companies seeking to optimize their business processes and embrace the era of intelligent automation.

Reengineering Web applications into pervasive information systems

In today’s mobile-driven world, organizations face the challenge of adapting legacy Web applications to pervasive information systems, such as mobile applications, ensuring seamless accessibility across devices. This paper presents a systematic, three-phase approach to reengineering Web applications into mobile applications: Reverse-engineering, Transformation, and Forward-engineering. In the reverse-engineering phase, high-level conceptual models of the Web application are generated to capture its architecture and functionality. During the transformation phase, these models are refined using Unified Modeling Language (UML) profiles to align with the requirements of mobile systems. The forward-engineering phase utilizes the Acceleo technology, along with predefined mapping rules and code patterns, to automate the generation of mobile application code. A case study is conducted to demonstrate the effectiveness of this framework, revealing a significant reduction in manual effort throughout the reengineering process. This approach offers a scalable and efficient solution for transforming Web applications into mobile applications, contributing to advancements in model-driven engineering and software reengineering.

Integrating Process Re-Engineering Models in Cement Production to Improve Energy Efficiency

The demand for cement has significantly increased, growing by 8% in the year 2022 and by a further 12% in 2023. It is highly anticipated that this trend will continue, and it will result in significant growth by 2030. However, cement production is highly energy-intensive, with 70 to 80% of the total energy consumed during the clinker formation, which is the main cement production process. Minimising energy losses requires a radical approach that includes optimising the performance of the kilns and significantly improving their energy efficiency. One of the most efficient approaches to optimise the performance of the kilns and reduce energy losses is by integrating process re-engineering models, which leverage process data analytics, machine learning, and computational methods. This study employed a model-based integration approach to improve energy efficiency during clinker formation. Energy consumption data were collected from two semi-automated cement production plants. The data were analysed using a regression model in Minitab (Minitab 21.1.0) statistical software. The analysis resulted in a linear energy consumption equation that links energy consumption to both production and energy loss. Dynamic simulations and modelling using Simulink in MATLAB were performed based on a proportional–integral–derivative (PID)-controlled system. The dynamic behaviour of the model was evaluated using data from Plant A and validated with data from Plant B. The energy efficiency equation was established as a mathematical model that explains energy improvements based on incorporating parameters for the cement kiln system and disturbances from the environment.

How to Improve Your Warehouse Operating Efficiencies

How to improve your warehouse operating efficiency helps to understand the critical factors that influence the productivity of the warehouse operations. As we know logistics is essential for supply chain in today’s world to reach the products on time and in full (OTIF). To attain better OTIF rate, operating the warehouse to the fullest efficiency is critical. There are various types of warehouses, at different sizes (in Sq. ft), diverse operating models, several applications are available in the market. Warehouses of each industry types have their own uniqueness in operating model, and it comes its own complexity. Operating warehouses to the maximum efficiency is always challenging, constant automation with process and system re-engineering is needed to keep up the pace. Inefficient warehouse operations can bring the business to a standstill unless its upbeat to meet the needs of the customers. Warehouse applications complement to the performance of the deliverables from logistics perspective, fulfilling the customer service level agreements (SLA).

ACCELERATED HYBRID PROCESS OF SOFTWARE SYSTEM REENGINEERING

Methods of speeding up the reengineering process of software systems were studied, the effectiveness of these methods was analyzed, and a new reengineering process based on a structured process of reverse engineering combined with a new method of forward engineering was proposed in order to increase the accuracy of the domain knowledge structure of systems that will be reengineered to accelerate the evolution of systems in the future.

Investigating the Effect of the Mediating Role of Process Re-engineering and Total Quality Management on the Business Value of Information Technology

The widespread use of information technology in the business sector has led to the development of e-businesses. The primary goal of this study is to examine the impact of mediation process reengineering and total quality management on the business value of information technology. We assessed the validity and reliability of the survey instrument, a questionnaire, using Cronbach's alpha coefficient. The study analysed 102 managers and experts in the field of computer services. The study employed path analysis to scrutinise the data. The results revealed a significant relationship between Total Quality Management (TQM) and process reengineering, which is considered a valuable technology. We also detected a significant correlation between total quality management and process reengineering.

Urine Sample Handling in Laboratory—Process Reengineering is the Need of the Hour

Background and Aims: Monitoring and a continual improvement of turnaround time (TAT) in urine examination and reporting is essential for improved management of laboratory quality as well as ensuring patient satisfaction. TAT can be impacted by multiple factors, some of which appear to be beyond the control of laboratory, especially the preanalytical phase of urine examination such as specimen collection, transportation and sample preparation. The aim of the study was to compare the preanalytical variables like TAT for transportation and incidences of spill between our current urinalysis workflow process and the new urinalysis workflow process using a pneumatic chute-compatible closed urine collection system. Materials and Methods: This observational prospective study was conducted on 4/9/23 from 9 am to 4 pm at the laboratory of Apollo Main Hospital, Chennai. Pneumatic chute compatible closed urine collection cup was given to the patients in Group-A and normal screw cap containers which we are currently using were given to the patients in Group-B. Once the urine samples were collected in the respective containers, they were transported to the laboratory using pneumatic chutes for Group-A samples and manual carry for Group-B samples. Analysis of transportation time using the new collection method (Group-A) when compared with the current method of practice (Group-B) was done. The incidence of spillage was also monitored. Results: A significant improvement was noticed in the transportation process and spill incidence with closed collection devices through the pneumatic chute. Conclusion: To conclude, the implementation of pneumatic chute compatible closed collection tubes for urine improves the transportation and processing time, eliminates the manual carry of urine samples, eliminates the incidences of leakage and spillage, reduces errors and reduces the exposure of urine to healthcare workers, thereby leading to significant improvement in patient care, patient experience and staff satisfaction.

Evaluating Sustainable Digitalization: A Carbon-Aware Framework for Enhancing Eco-Friendly Business Process Reengineering

In an era where sustainability is paramount, understanding the environmental impact of digitalizing business processes is critical. Despite the growing emphasis on sustainable practices, there is a lack of comprehensive methodologies to evaluate how digitalization impacts environmental sustainability compared to traditional processes. This paper introduces a carbon-aware methodological framework specifically designed to assess the sustainability of business process reengineering through digitalization. The Digital Green framework quantitatively analyzes the environmental costs associated with digital transformation, ensuring that truly sustainable digitalization results in lower resource consumption relative to the complexity of the process being digitalized. To demonstrate its effectiveness, the framework was applied to a case study involving the reengineering of an administrative process at a small university in southern Italy. The case study highlighted the framework’s ability to quantify the environmental benefits or detriments of digital transformation, thus guiding organizations toward more sustainable digital practices. This research contributes to the field by offering a concrete tool for aligning digitalization efforts with ecological sustainability, and by paving the way for integration with initiatives such as the Green Software Foundation’s Software Carbon Intensity (SCI) specifications.

Innovative Applications and Benefit Analysis of Financial Informationization and Intelligence in the Construction Industry

This paper explores the current status of the application of financial informationization and intelligence in the construction industry, analyzing the impact on improving financial management efficiency, reducing operational costs, and enhancing decision-making support capabilities. Through a case study of Huaxin Construction Engineering Group Co., Ltd., this paper evaluates the actual benefits of intelligent technology in financial process reengineering, risk management, and strategic planning.

Branch differentiation of financial mechanisms of enterprise restructuring

In the paper, the financial mechanism of enterprise restructuring is interpreted as a complex process, the object of comprehensive analysis, clear planning, effective implementation, the implementation of which allows enterprises to restore financial stability, increase competitiveness and ensure sustainable development in the long term. It has been proven that the general principles of the functioning of the financial restructuring mechanism are: transparent business conduct, openness in communication, mutual benefit, reaching consensus, analysis of all aspects of activity, integration of various measures, realistic goals, financial flexibility, constant monitoring, reporting to stakeholders, innovativeness, proactivity , flexibility and operational adaptation, alternative, optimality, etc. Adherence to the specified principles ensures the successful implementation of financial restructuring, increases trust in the enterprise and contributes to achieving its financial stability. It is shown that the sectoral differentiation of financial mechanisms of enterprise restructuring allows taking into account the specifics of each industry, ensuring effective management of financial risks and optimization of resources. Successful restructuring requires an individual approach that takes into account the unique needs and operating conditions of each enterprise. Based on the results of summarizing the experience of the functioning of financial mechanisms in various branches of the national economy, it was established that they differ in various aspects of restructuring, which can be of the following nature: adaptive, structural, structural-adaptive, integrative, security-oriented, reengineering of business processes. General financial instruments that can be used in all branches of the national economy are substantiated - state financing programs through the use of state grants, subsidies and credit programs to support restructuring measures, as well as public-private partnerships based on the involvement of private investors for joint financing of infrastructure projects.

Logistics SMEs’ marketing budget re-engineering for sustainable digital marketing development

Nowadays, the survival and sustainability of SMEs and the promotion of their services have become key goals for the economic growth of many countries. Logistics SMEs seek to improve their digital marketing development, by managing the re-engineering process of their marketing budget. To achieve this goal, logistics SMEs should capitalize on big data from their websites that are capable of depicting their digital development level. The authors selected 5 SMEs from the logistics sector and collected big data from their websites for 365 days. Then, statistical analysis tools (correlation and linear regression models), as well as Fuzzy Cognitive Mapping (FCM) models were utilized. It is highlighted that various marketing budget levels affect the digital development of logistics SMEs differently. More specifically, a marketing budget of 500$ to 2500$ could bring more users (new and returning) to logistics SMEs’ websites, but only if the investments transcend 5000$ could help these firms rank higher in the search engines (authority score). Thus, logistics SMEs could simulate the course of specific digital development metrics by setting the desired levels of their marketing budget.

Analysis of Business Process Re-Engineering in the Implementation of Robotic Sorting Machines in the Middle Mile Process at PT Pos Indonesia (Persero)

PT Pos Indonesia faces challenges in improving courier service business processes due to business change trends. This study aims to identify and analyze inefficiencies in the middle mile supply chain business process of PT Pos Indonesia Processing Centre Surabaya and determine the number of robotic mega bots needed to improve efficiency. The research method uses quantitative information, observations, interviews, computer simulations, Value Stream Mapping process flow charts, and Business Process Reengineering concepts. The results showed that the use of mega bot robots had a positive and significant impact on the company's reputation, and the sorting process carried out using robotic mega bots was appropriate because it had a significant impact on the effectiveness and efficiency of business process improvements at PT Pos Indonesia (Persero).

Customer Complaint Service Business Processes Redesign with Artificial Intelligence Technology Using Business Process Reengineering Approach (Study Case: Ceria BRI Application)

This article analyses the business process redesign of Ceria BRI's customer complaint service using Artificial Intelligence (AI) technology with Business Process Reengineering (BPR) approach. This qualitative research with a post-positivism paradigm reveals that making complaints at Ceria BRI currently uses several channels such as telephone, email, social media, and applications. The problems faced include the high number of complaints that received every month in 2023, and some complaints were resolved over Service Level Agreement (SLA). The proposed solution is to redesign the proposed business process design by applying the four stages of Business Process Reengineering (BPR), namely Visioning-Identifying-Analyzing-Redesigning. These steps aim to improve service quality, grow positive interactions with customers, and enhance the internal performance of the Ceria BRI customer complaint service team.

Challenges and practices of deep learning model reengineering: A case study on computer vision

ContextMany engineering organizations are reimplementing and extending deep neural networks from the research community. We describe this process as deep learning model reengineering. Deep learning model reengineering — reusing, replicating, adapting, and enhancing state-of-the-art deep learning approaches — is challenging for reasons including under-documented reference models, changing requirements, and the cost of implementation and testing.ObjectivePrior work has characterized the challenges of deep learning model development, but as yet we know little about the deep learning model reengineering process and its common challenges. Prior work has examined DL systems from a “product” view, examining defects from projects regardless of the engineers’ purpose. Our study is focused on reengineering activities from a “process” view, and focuses on engineers specifically engaged in the reengineering process.MethodOur goal is to understand the characteristics and challenges of deep learning model reengineering. We conducted a mixed-methods case study of this phenomenon, focusing on the context of computer vision. Our results draw from two data sources: defects reported in open-source reeengineering projects, and interviews conducted with practitioners and the leaders of a reengineering team. From the defect data source, we analyzed 348 defects from 27 open-source deep learning projects. Meanwhile, our reengineering team replicated 7 deep learning models over two years; we interviewed 2 open-source contributors, 4 practitioners, and 6 reengineering team leaders to understand their experiences.ResultsOur results describe how deep learning-based computer vision techniques are reengineered, quantitatively analyze the distribution of defects in this process, and qualitatively discuss challenges and practices. We found that most defects (58%) are reported by re-users, and that reproducibility-related defects tend to be discovered during training (68% of them are). Our analysis shows that most environment defects (88%) are interface defects, and most environment defects (46%) are caused by API defects. We found that training defects have diverse symptoms and root causes. We identified four main challenges in the DL reengineering process: model operationalization, performance debugging, portability of DL operations, and customized data pipeline. Integrating our quantitative and qualitative data, we propose a novel reengineering workflow.ConclusionsOur findings inform several conclusion, including: standardizing model reengineering practices, developing validation tools to support model reengineering, automated support beyond manual model reengineering, and measuring additional unknown aspects of model reengineering.

The Enablers and Interdependencies of Blockchain Technology in Supply Chain Management: Evidence From Luxury Products

ABSTRACTBlockchain is a technology that combines a set of properties to guarantee network security, transparency, and visibility, including a decentralized structure, distributed notes and storage mechanism, consensus algorithm, intelligent contracts, and asymmetric encryption. Supply chain management activities, including supply chain management provenance, business process reengineering, and security enhancement, have enormous potential to be transformed by blockchain. This research uses the integrated interpretive structural modeling–cross‐impact matrix multiplication applied to classification (ISM‐MICMAC) technique to ascertain the hierarchical relationships and to comprehend the severity of interrelationships among various components in tackling our research questions. In MICMAC analysis, the enablers were classified into four categories based on their dependence and driving powers. The combined ISM‐MICMAC methodology employed for this study relies on experts’ individual evaluations and subjective assessments. Therefore, even with extreme caution, it is impossible to guarantee that the results are entirely devoid of personal biases. To further validate the linkages discovered in this study, we suggest employing more multiple‐criteria decision‐making (MCDM) methodologies and comparing the results with those of our research. Another method for confirming the results of the current study is to use an empirical research design based on survey methods.

A Proposed Frame Work for Enhancing Competitiveness of Small and Medium Enterprises (SMEs)

Small and medium enterprises (SMEs) are important agents of development throughout the world. Promoting a country’s SME sector plays a crucial role in maintaining high employment and income generation and is therefore critical for achieving sustainable grow by enhancing SMEs competitiveness. The general objective of this paper is to develop a theoretical frame work model for garment SMEs competitiveness that supports garment manufacturing small and medium enterprises (SMEs) to enhance their competitiveness by identifying the possible competitiveness factors. To achieve the presented objectives, a purposive sample basis on selected garments manufacturing SMEs found at three different clusters in Addis Abeba city administration is used. The data in this paper are both primary and secondary data. Primary data was collected though questionnaires, interviews and observations, while secondary data sources referred from company’s documents and several articles from reputable international journals. Both qualitative and quantitative approaches are used to analyse the collected data using various statistical programs. The results of the paper found that in garment manufacturing SMEs the main difficulties faced in performance dimension which is divided into financial performance and non-financial performance are the lack of collateral, the lack of proven track records, the lack of proper business plans and the need to show good sales turnover are the major financial performance parameters that deters the competitiveness. The SMEs do not have well established system to support effective and efficient implementation systems for productivity improvement. Finally the garment manufacturing SMEs are potentially wasting valuable and scarce resources since they don’t implement productivity improvement tools and techniques Lack of appropriate machinery and equipment are the main non-financial performance parameter that deters the competitiveness. To tackle the problems and enhance competitiveness of garment manufacturing firms, a theoretical conceptual model based on this requirement has been developed and the implementation requires a coordinated and well organized system among the actors (at macro and micro level) in the value chain. Some of the major problems such as lack of skilled manpower and infrastructure have to be tackled by the government and private sectors. And the other problems could be approached by using some modern management philosophies (such as just-in-time manufacturing, business process re-engineering, lean production) and scientific methods like production planning and control.

Strategic approaches for successful digital transformation in project management across industries

Digital transformation has become imperative for organizations across industries seeking to enhance operational efficiency, innovate customer experiences, and maintain competitive advantage in a rapidly evolving digital landscape. This paper explores strategic approaches that enable successful digital transformation in project management, addressing key challenges and leveraging opportunities for growth and sustainability. In the current business environment, digital transformation in project management encompasses the adoption of advanced technologies, integration of digital tools, and reengineering of processes to optimize project delivery and outcomes. Organizations are increasingly leveraging cloud computing, artificial intelligence, big data analytics, and Internet of Things (IoT) to streamline project workflows, enhance decision-making capabilities, and facilitate real-time collaboration among stakeholders. Successful digital transformation initiatives in project management are underpinned by strategic planning and leadership commitment. Alignment of digital transformation goals with organizational objectives ensures clarity of purpose and enhances stakeholder engagement throughout the transformation journey. Moreover, fostering a culture of innovation and continuous learning enables teams to adapt to technological advancements and embrace change effectively. Challenges in achieving successful digital transformation include legacy system integration, data security concerns, skill gaps among team members, and resistance to cultural change. Addressing these challenges requires proactive risk management, investment in training and development programs, and collaboration with technology partners to navigate complexities and ensure seamless implementation. Case studies illustrate diverse approaches to digital transformation in project management, highlighting best practices and lessons learned across various industries. Organizations that successfully navigate digital transformation not only achieve operational efficiencies and cost savings but also create value through enhanced customer experiences and improved competitive positioning. Looking forward, the strategic adoption of emerging technologies and agile methodologies will continue to shape the future of digital transformation in project management. Organizations must remain adaptable and responsive to market dynamics, leveraging digital tools to drive innovation, accelerate time-to-market, and sustain long-term growth in an increasingly digital-first world. In conclusion, strategic approaches to digital transformation in project management empower organizations to harness the full potential of digital technologies, driving efficiencies, fostering innovation, and achieving sustainable success across industries.

Analysis and optimization of a Stochastic Petri Net for air-rail intermodal transportation.

Air-rail intermodal transportation (ARIT) plays a crucial role in China's intermodal transportation system. This study aims to model and optimize issues such as inefficiency and complexity in China's ARIT freight transportation using Business Process Reengineering and Stochastic Petri Nets theories. The Petri Net (PN) model for incoming freight transport in ARIT is based on actual operations, employing a new method involving Stochastic Petri Nets and isomorphic Markov Chains theory for performance analysis. Performance analysis results help intuitively identify areas needing optimization. Based on optimization principles, elements such as railway container packaging are improved, resulting in an optimized PN model for ARIT. Finally, data analysis shows that the optimized ARIT model reduces total delay by 7.7% compared to the original. This demonstrates that the new method, combining Markov Chain performance analysis and optimization principles, is feasible and effective for ARIT optimization.

Exploring Innovative Structures and Mechanisms in Urban Grassroots Governance: A Network Governance Perspective

This paper examines the "Five Chiefs System" as a grassroots governance model in Chongqing, China, exploring innovative mechanisms in urban grassroots governance from a networked governance perspective. Through a literature review, this study summarizes existing research on innovation in urban grassroots governance, highlighting approaches in technological governance, process re-engineering, and structural research. Building on theories of governance and networked governance, and using the "Five Chiefs System" in Chongqing as a case study, the paper reveals discrepancies between the system and its operational goals as well as the principles of co-governance in practice. Consequently, an analysis of the adaptability of the "Five Chiefs System" and networked governance leads to the exploration of innovative structures and mechanisms for the networked governance of the "Five Chiefs System." This involves developing a decentralized network structure with diverse entities and establishing mechanisms for integration, trust, coordination, and maintenance within networked governance.