• A synergistic approach to process innovation.

      Anosike, Anthony; Lim, Ming K.; University of Derby (International Conference on Knowledge, Innovation and Enterprise, 2014-04-22)
      With the continuing globalisation of the economy comes increasing number of competitors. Consequently, products lifecycles has continued to fall as companies strive to out-manoeuvre one another by introducing product and service innovations to meet the needs of increasingly choosy customers. This has created a business environment where change has become widespread and persistent. As processes are the engines that power organisations to deliver the values required by customers, it becomes imperative that to have competitive edge, or even survive in this sort of business environment, these processes need to be not only adaptable to the changes but also be capable of inducing the changes that would benefit the organisations. To investigate the feasibility of adaptable and change inducing processes, the research presented in this paper explores the synergies amongst three techniques for problems solving and process improvement: Theory of Inventive Problem Solving, which is more commonly known by its Russian acronym, TRIZ; Theory of Constraints (TOC); and Lean Manufacturing.
    • A systematic approach to diagnose the current status of quality management systems and business processes

      Garza-Reyes, Jose Arturo; University of Derby (Emerald, 2017-03)
      Purpose - This paper presents a systematic approach to conduct a diagnosis of the current status of a company’s quality management systems (QMS) and business processes. Methodology - The approach proposed is based upon the (1) assessment of the maturity level of a company’s QMS, for which a ‘maturity diagnostic instrument’ is also proposed, (2) a self-assessment exercise using a business excellence model, and (3) a first party quality audit. Findings - The integration of a QMS’ maturity assessment, a self-assessment exercise and a quality audit may provide a more thorough evaluation of various company’s systems and operations. This paper provides organisations, and their managers, with a systematic approach to help them understand better the current performance of their QMSs and business processes. Originality/value - This paper’s main contribution consists in the proposal of a novel approach for organisation to measure and understand the status of their QMS and business processes. Subsequently, better management decisions to improve a company’s operations can be taken.
    • A systematic literature review of data science, data analytics and machine learning applied to healthcare engineering systems

      Salazar-Reyna, Roberto; Gonzalez-Aleu, Fernando; Granda-Gutierrez, Edgar M.A.; Diaz-Ramirez, Jenny; Garza-Reyes, Jose Arturo; Kumar, Anil; Universidad de Monterrey, San Pedro Garza Garcia, Mexico; University of Derby; London Metropolitan University (Emerald, 2020-12-07)
      The objective of this paper is to assess and synthesize the published literature related to the application of data analytics, big data, data mining, and machine learning to healthcare engineering systems. A systematic literature review (SLR) was conducted to obtain the most relevant papers related to the research study from three different platforms: EBSCOhost, ProQuest, and Scopus. The literature was assessed and synthesized, conducting analysis associated with the publications, authors, and content. From the SLR, 576 publications were identified and analyzed. The research area seems to show the characteristics of a growing field with new research areas evolving and applications being explored. In addition, the main authors and collaboration groups publishing in this research area were identified throughout a social network analysis. This could lead new and current authors to identify researchers with common interests on the field. The use of the SLR methodology does not guarantee that all relevant publications related to the research are covered and analyzed. However, the authors’ previous knowledge and the nature of the publications were used to select different platforms. To the best of the authors’ knowledge, this paper represents the most comprehensive literature-based study on the fields of data analytics, big data, data mining, and machine learning applied to healthcare engineering systems.
    • A systematic literature review on machine learning applications for sustainable agriculture supply chain performance

      Sharma, Rohit; Kamble, Sachin; Kumar, Vikas; Gunasekaran, Angappa; Kumar, Anil; National Institute of Industrial Engineering; University of the West of England; California State University, Bakersfield; University of Derby (Elsevier, 2020-02-24)
      Agriculture plays an important role in sustaining all human activities. Major challenges such as overpopulation, competition for resources poses a threat to the food security of the planet. In order to tackle the ever-increasing complex problems in agricultural production systems, advancements in smart farming and precision agriculture offers important tools to address agricultural sustainability challenges. Data analytics hold the key to ensure future food security, food safety, and ecological sustainability. Disruptive information and communication technologies such as machine learning, big data analytics, cloud computing, and blockchain can address several problems such as productivity and yield improvement, water conservation, ensuring soil and plant health, and enhance environmental stewardship. The current study presents a systematic review of machine learning (ML) applications in agricultural supply chains (ASCs). Ninety three research papers were reviewed based on the applications of different ML algorithms in different phases of the ASCs. The study highlights how ASCs can benefit from ML techniques and lead to ASC sustainability. Based on the study findings an ML applications framework for sustainable ASC is proposed. The framework identifies the role of ML algorithms in providing real-time analytic insights for pro-active data-driven decision-making in the ASCs and provides the researchers, practitioners, and policymakers with guidelines on the successful management of ASCs for improved agricultural productivity and sustainability.
    • A systematic literature review regarding the influence of lean manufacturing on firms’ financial performance

      Dieste, M; Panizzolo, R; Garza-Reyes, Jose Arturo; University of Padova, Vicenza, Italy; Free University of Bozen-Bolzano, Bolzano, Italy; University of Derby (Emerald, 2021-04-07)
      The lean philosophy has demonstrated its effectiveness to improve firms’ operational performance. However, the impact of lean practices on financial performance is still unclear due to the poor understanding of the link between operational and financial measures and the conflictive results obtained by previous research. The purpose of this paper is to conduct a systematic literature review to understand whether lean companies have improved their financial performance. Moreover, this article aims to uncover research gaps in the literature and examine which time spans of research have been considered to analyse both the degree of lean implementation and the measurement of financial outcomes. A systematic literature review has been conducted to identify peer-reviewed articles that analyse the effect of the lean production paradigm on the financial performance measures of manufacturing companies. Then, the identified articles were processed using a combination of descriptive and content analyses methods to draw new conclusions, uncover gaps and find novel paths for research. Various authors indicate that lean initiatives lead to an enhancement of financial performance measures. JIT and TQM lean practice bundles are suggested as the best enablers of financial performance in terms of sales and profit. In contrast, according to some scholars, lean does not necessarily improve companies’ financial results if it is not properly implemented. Despite several studies have focused on analysing the effects of lean on performance, only a small part of the literature has addressed the study of the effects of lean practices on financial performance metrics. The originality of this study lies in the investigation of the connections between lean practices and financial performance measures found in the literature. The outcome is the identification of various possible positive impacts of some lean practices on financial metrics.
    • Total quality environmental management: Adoption status in the Chinese manufacturing sector

      Garza-Reyes, Jose Arturo; Yu, Mingyang; Kumar, Vikas; Arvind, Upadhyay; University of Derby; Huawei; University of West England; University of Brighton (Emerald, 2017)
      Purpose - To address the critical sustainability challenges currently faced by China, manufacturers in this country have committed to improve their environmental performance. To support this commitment, evidence suggests that Chinese manufacturers have mainly turned to the implementation of environmental management approaches such as ISO 14001, cleaner production, green supply chain management, circular economy and green lean. However, the adoption of other approaches such as Total Quality Environmental Management by Chinese manufacturers is less clear. This paper fills this gap by providing light into fundamental issues regarding the implementation of TQEM in the manufacturing sector of China. Methodology/design/approach - A survey-based exploratory study was conducted based on 119 Chinese manufacturing companies and the data obtained was analysed using a combination of descriptive and inferential statistics. Findings – The results revealed that in general, there is less awareness of TQEM in the Chinese manufacturing sector than other environmental and quality/operations improvement approaches such as green supply chain management, reverse logistics, ISO 9000, Six Sigma and lean six sigma. Thus, its degree of implementation is also lower than these approaches as well as ISO 14001. The results also indicate that although a company’s size is not associated to the implementation of TQEM, it is mainly large organisations and those that have adopted TQM those which will be mainly aware and have implemented TQEM. The study also reveal the drivers, results and challenges of TQEM implementation. Originality/value - The paper extends the currently limited knowledge on TQEM, and its results are beneficial for managers who aim at effectively adopting TQEM to simultaneously improve the environmental, operational and financial performance of their organisations. The paper can also motivate organisations not currently embarked on the “green wagon” to contemplate the benefits that implementing TQEM, or any other environmental management approach, may bring to their operations and business.
    • Towards a conceptual framework for Value Stream Mapping (VSM) implementation: An in-vestigation of managerial factors

      Andreadis, Eleftherios; Garza-Reyes, Jose Arturo; Kumar, Vikas; University of Derby; University of West England (Taylor and Francis, 2017-07-03)
      Despite the relatively extensive literature on VSM, limited reflection has been reported regarding how managerial proceedings actually put VSM into practice. This research therefore investigates these issues as part of the overall lean philosophy and in correlation with some of its main tools. Five hypotheses and three complementary research questions were formulated and tested using a combination of descriptive statistics and Pearson correlation, 2-Sample proportion, One-way ANOVA, 1-Sample t-tests and Tukey-Pairwise comparison tests. Data were collected through a survey questionnaire responded by 168 manufacturing organisations worldwide. The results establish, among other ‘soft’ aspects; (1) whether organisations that have adopted lean have also employed VSM as an essential tool to identify waste, (2) the position that VSM normally takes in the timeframe hierarchy of lean implementation, (3) the complexity of VSM implementation in terms of easiness and time taken for training when compared to other lean tools such as TPM, JIT and Jidoka, and the (4) critical success factors and barriers for the VSM implementation. A conceptual framework to support the implementation and management of VSM is developed through the unification of the results obtained. This study supports the very limited empirical research on the implementation and management of VSM.
    • Towards a conceptual roadmap for statistical process control implementation in the food industry.

      Abdul Halim Lim, Sarina; Antony, Ji; Garza-Reyes, Jose Arturo; Arshed, Norin; Heriot-Watt University; University of Putra Malaysia; University of Derby (Elsevier, 2015-03-14)
      Statistical process control (SPC) is one of the most highly used quality control techniques in the industry. The lack of specific implementation guidelines makes it the least applied quality control technique in the food industry. This paper presents a five-phase SPC implementation conceptual roadmap in the food industry developed based on a critical review on current literature of various SPC deployment methods. It considers six critical factors for the SPC implementation in the food industry. This paper makes unique contributions by presenting a systematic approach for the managers of this industry to successfully deploy SPC in their organisations.
    • Towards a life cycle sustainability analysis: A systematic review of approaches to sustainable manufacturing.

      Gbededo, Mijoh Ayodele; Liyanage, Kapila; Garza-Reyes, Jose Arturo; University of Derby (Elsevier, 2018-03-02)
      In 2011, the international organisations launched the Life Cycle Sustainability Assessment Framework for experts from different disciplinary fields to discuss and develop a holistic and integrated approach that supports effective sustainable development and sustainability decision-making. In response, various authors have used combinations of sustainable manufacturing methodologies and approaches to support this goal. This paper used a structured approach to a literature review to systematically examine sustainable manufacturing approaches between 2006 and 2015, and the move from segmented assessment methods to the holistic and integrated Life Cycle Sustainability Analysis. The analysis of the identified 54 relevant contributions indicated 68.5% of the articles focused on sustainable product development techniques, whereas 31.5% on sustainability assessment techniques. From the second, 70.4% of these were segmented approaches while only 29.6% incorporated the three sustainability dimensions. Further, the analysis showed that the energy aspect was incorporated into all the approaches, and there is a dearth of holistic approaches to sustainable manufacturing. Additionally, the paper initiates a theoretical framework that will underpin the development of a holistic simulation-based analytical framework that integrates goals that support progressive sustainable product development with methods that focus on the holistic quantitative analysis of the three sustainability dimensions.
    • Towards a more circular economy: exploring the awareness, practices, and barriers from a focal firm perspective.

      Masi, Donato; Kumar, Vikas; Garza-Reyes, Jose Arturo; Godsell, Janet; University of Warwick; University of the West of England; University of Derby; Warwick Manufacturing Group, University of Warwick, Coventry, UK; Bristol Business School, University of the West of England, Bristol, UK; Centre for Supply Chain Improvement, The University of Derby, Derby, UK; et al. (Taylor and Francis, 2018-05-21)
      The circular economy (CE) proposes an economic framework based on circular flows of products and materials. Transition towards a CE is underway, therefore, understanding the nature and state of this transition is important for creating effective policies and business strategies. Some studies have focused on specific contexts and pockets of good practice. This exploratory, survey-based study of 77 companies investigates the shift towards the CE using a taxonomy of practices and barriers. Results show that firms favour practices related to resource and energy utilisation efficiency, while practices related to investment recovery, green purchasing and customer cooperation are less prevalent. Eco-design and internal environmental management practices have a medium level of implementation. The significant upfront investment cost, lack of awareness or sense of urgency were identified as implementation barriers. Results suggest the CE is driven by economic not environmental considerations, and the deployment of practices remains within a firm rather than across the supply chain.
    • Towards sustainable industrial development - a systems thinking-based approach

      Mendoza-del Villar. L.A., Oliva-López, E., Luis-Pineda, O., Garza-Reyes, J.A.; University of Derby (IEOM Society, 2019-07)
      Various critical global issues, including global warming and poverty, have been recognized and identified by the United Nations (UN) as drivers for unsustainability. Consequently, the UN established the Sustainable Development Goals (SDGs) with the aim of seeking universal peace and larger freedom by balancing the three dimensions of sustainable development, i.e. economic, social and environmental. A particular attention SDGs pay is in eradicating poverty as this is considered one of the greatest global challenges. Poverty is not only an economic matter as it also has an impact on the social and environmental dimensions. A strategy to tackle poverty is to foster industry development. However, a holistic point of view is necessary by also considering stakeholders otherwise, it becomes a neoliberal solution. Despite the fact that some research has been conducted, e.g. case studies and surveys of sustainable practices, there is a lack of industrial sustainable development as a framework to tackle sustainability issues. Thus, this paper proposes a framework for industrial sustainable development under a socially inclusive approach within the context of the Mexican manufacturing industry. The framework proposal is based on a state-of-the-art literature review conducted in the Web of Science and Scopus databases.
    • Transport operations optimisation through lean implementation – a case study

      Deesrisak, Jose Arturo N., Garza-Reyes, J.A., Nadeem, S.P., Kumar, A., Kumar, V., Gonzalez-Aleu, F., Vil-larreal, B.; University of Derby (IEOM Society, 2019-07)
      Lean has benefited industries, however, the research regarding its implementation in the transportation sector is limited. Therefore, there is huge potential for the implementation of Lean in the transportation sector. With the growing population and production, traffic congestion is no surprise, placing constraints on transport operations. This research utilises two extensions of the Lean tools of Transportation Value Stream Mapping (TVSM) and Transportation Overall Vehicle Effectiveness (TOVE). This research presents a case study of company XYZ based in Thailand, to optimise their transport operations through utilisation of Lean and its extensions mentioned earlier. As a result, the TOVE index is projected to improve from 17% to 31% and TVSM from 51% – 70%. The empirical study presented in this research paves the way for further research and adoption of Lean in transportation operations.
    • Understanding circular economy awareness and practices in manufacturing firms

      Liakos, N., Kumar, V., Pongsakornrungsilp, S., Garza-Reyes, J.A., Gupta, B., Pongsakornrung-silp, P.; University of Derby (Emerald, 2019-06201)
      Circular Economy (CE) has evolved as a result of the growing environmental awareness, environmental legislation and the need for social responsibility. However, awareness levels of CE are not as high as expected and practices are further behind than they should be, with a significant lack of research around the subject in the literature. This study therefore attempts to examine the current state of awareness levels and the practices around CE in manufacturing firms. Moreover, the study aims to empirically validate one of the earlier proposed CE models. The study adopts a quantitative survey questionnaire based approach. More than 500 people from various manufacturing organisations were contacted directly over a 40-day long sampling process through the FAME database, personal contacts and LinkedIn. The survey resulted in 103 completed responses. Given the exploratory nature of the study, the data was mainly analysed using descriptive statistics. To validate the CE model, a correlation analysis was also conducted. The research findings show that with the growing emphasis on CE across the globe by governing bodies, firms are becoming more aware of CE practices. The analysis also shows some useful insights on the state of each of the pillars (economic benefits, environmental impact and resource scarcity) of CE. Our findings also indicate that the environmental impact pillar of CE is at a more developed state than the other two pillars which are –mostly- in a research state. Research Implications and Limitations: The study provides manufacturing firms with a thorough understanding of the state of CE practices and importance of its successful implementation. The findings of the study advocates consideration of all three pillars of CE by managers as a guide to plan for an efficient strategy around CE implementation. Moreover, our study adds to existing efforts by the academic community to raise the awareness towards CE practice among all relevant stakeholders. The findings of this study are based on the responses from a limited 103 survey responses from manufacturing firms. Originality/value: This study adds to the very limited empirical literature on CE awareness and practices in manufacturing firms. This is also one of the first studies attempting to empirically validate an existing CE model.
    • Use of clean technologies in agribusiness in Mexico: A literature review

      Rocha-Lona, Jose Arturo L., Cuevas-Zuñiga, I.Y., Soto-Flores, M.R., Garza-Reyes, J.A., Kumar, V.; University of Derby (IEOM Society, 2019-07)
      There is little research documenting the use of clean technologies (CT) in Agribusiness in Mexico. In this regard, the objective of this article is to provide an in-depth literature review that can cover this gap and help decision-makers and investors to identify opportunity areas in the industry. It also provides a good theoretical background for researchers and practitioners to further investigate applications of clean technologies in this sector or other potential ones. To conduct this research, an in-depth analysis of the literature on clean technologies and their use by agribusiness in Mexico was carried out. The databases such as Web of Science, Scopus, and Springer were used to identify the relevant international journals in the field and their research-contributions. The main results show that there is a need for financial investments on clean technologies CT that can help optimizing processes and products on the sector. The results also showed that CT is mainly used to minimize energy consumption, to optimize planting and harvesting, to enhance irrigation and water use, and to maintain the soil fertility. Despite these wide applications, the authors found that the penetration of CT is still low and policy-strategies are required with effective financial investments in the sector.
    • Using BPM to improve sustainability in biomass generation

      Gollotta, Bruno; Kolelas. Vidrene; Garza-Reyes, Jose Arturo; Anosike, Anthony; Kumar, Vikas; University of Derby; University of the West of England (Industrial Engineering and Operations Management (IEOM) Society, 2017-07)
      Biomass represents approximately 10% of the energy sources in the world. The most common use of biomass for energy is direct combustion, gasification, carbonization and pyrolysis. In this perspective, torrefaction emerges as a thermal biomass pre-treatment method that has an ability to reduce the major limitations of biomass, such as heterogeneity and lower energy density. However, one of the outputs from the torrefaction process is a pyrolysis condensate (tar). Tar is brown or black liquid composed of hydrocarbons which can cause clogging and fouling of pipes, heat exchangers or particulate filters. This paper provides a study performed in a biomass power generation company that was producing an excess of tar. In order to provide a solution to the excess tar generated, a framework to implement sustainability business processes using the Business Process Management (BPM) approach was used. The study found two solutions for the issue (short- term and long-term scenarios) using tools to improve the process management by focusing on sustainability.
    • Using entropy and AHP-TOPSIS for comprehensive evaluation of internet shopping malls and solution optimality

      Kumar, Anil; Dash, Manoj Kumar; Seharawat, Ritu; University of Derby; Indian Institute of Information Technology and Management, Gwalior, India (Inderscience, 2017-02-21)
      Consumers are switching from offline to online to buy everything due to this reason nowadays Internet shopping malls (ISMs) are setting up a very crucial role in the economy. For assessment and ranking are basically a critical work which could be exploitation of Internet shopping malls information resources when consider in a scientific way, there are many methods for the evaluation and ranking of e-commerce sites. Taking into consideration Traffic Rank, Inbound Links, Competition, Speed, and Keyword Statistics, in literature Multi Criteria Decision Making (MCDM) methods are rarely used by the researchers to find the rank of Internet Shopping Malls (ISMs) on the basis of primary/secondary data of these influencing factors. This study, therefore, is unique to narrow down the gap in literature by employing MCDM methods i.e. Entropy and Analytic Hierarchy Process (AHP) to collect the weight of influencing factors and Technique for Order Preference by Similarity to Ideal (TOPSIS) to find the rank of Internet Shopping Malls (ISMs). After finding out the rank of selected criteria, solution optimality needs to be done to find the average ideal solution matrix. Conclusion and managerial implications of the study are also discussed.
    • Using Fuzzy Delphi and Generalized Fuzzy TOPSIS to Evaluate Technological Service Flexibility Dimensions of Internet Malls

      Kumar, Anil; Dash, Manoj Kumar; BML Munjal University; Indian Institute of Information Technology & Management, Gwalior (Springer, 2017-02-20)
      The expanding development of technology and availability of the internet is leading a consumer shift from offline to online activity. This shifting behavior shows positive signs for the growth of the e-commerce market but also increases the challenges for the online service provider to provide satisfaction and loyalty to consumers when there is no personal interaction between buyer and seller. In these circumstances, quality, in terms of technology services i.e. web/transaction, can play a significant role for the service provider, especially for internet shopping malls. But there is little material available in current literature to build a theoretical model for web/transaction flexibility dimensions and to rank internet shopping malls on their provision of services to customers. The vagueness of the available information can be tackled by fuzzy theory by employing a Fuzzy Delphi method to finalize technological service dimensions and lead to development of a research model. The final ranking of internet malls has been achieved by utilizing Generalized Fuzzy TOPSIS. The findings of this study can be useful for internet shopping malls in devising strategies to provide a better quality of web/transaction service to customers.
    • Using the Delphi method to verify a framework to implement sustainability initiatives.

      Gallotta, Bruno; Garza-Reyes, Jose Arturo; Anosike, Anthony; University of Derby (IEOM Society, 2018-03)
      The paper provides a Delphi study to verify the framework to implement sustainability initiatives in the business processes. The Delphi technique seeks to obtain consensus on the opinions of experts, termed panel members, through a series of questionnaires. As part of the process, the responses from each round are fed back in summarized form to the participants who are then given an opportunity to respond again to the emerging data. The study successfully obtained a consensus in the phases and steps of the conceptual framework and provided feedback from the specialists. According to them, leadership, people and cost were identified as the main challenges related to the sustainability adoption by the organisations and key performance indicators (KPIs), Lifecycle assessment (LCA) and triple bottom line (TBL) were identified as the main methods to assess al the sustainability dimensions in terms of business processes.
    • When risks need attention: adoption of green supply chain initiatives in the pharmaceutical industry

      Kumar, Anil; Zavadskasb, Edmundas Kazimieras; Mangla, Sachin Kumar; Agrawal, Varun; Sharma, Kartik; Gupta, Divyanshu; University of Derby; Vilnius Gediminas Technical University; University of Plymouth; BML Munjal University (Taylor & Francis, 2018-11-19)
      The pharmaceutical industry is very important in delivering life-saving products/services to society. There are many ways for materials/products/services concerned with pharmaceuticals to influence the environment; these include improper disposal of pills/tablets by patients, expired and unused medications, improper release of drugs by pharmacies or household sewage mixed with surplus drugs. In view of this, the present work seeks to integrate green supply chain (GSC) concepts in the pharmaceutical sector in a developing economy Indian context. In so doing, managers need to determine the potential risks in adopting GSC initiatives to achieve sustainability in operational perspectives. In this sense, this work seeks to distinguish the potential risks in adopting GSC initiatives within the pharmaceutical industry. This work uses a literature review and fuzzy Delphi approach in finalising the risks. This research also uses fuzzy Analytical Hierarchy Process (AHP) for prioritisation of the risks under vague and unclear surroundings. According to the findings, cold chain technology and supply risks categories are highly prioritised. This work can assist practising managers and government authorities in effectively developing and managing GSC initiatives in line with sustainable development goals in the context of the pharmaceutical industry. Finally, a sensitivity test is applied to evaluate the stability of ranking of risks.