• Machine Learning Applications for Sustainable Manufacturing: A Bibliometric-based Review for Future Research

      Jamwal, Anbesh; Agrawal, R; Sharma, M; Kumar, A; Kumar, V; Garza-Reyes, Jose Arturo; Malaviya National Institute of Technology, Jaipur, India; London Metropolitan University; University of the West of England; University of Derby (Emerald, 2021-05-06)
      The role of data analytics is significantly important in manufacturing industries as it holds the key to address sustainability challenges and handle the large amount of data generated from different types of manufacturing operations. The present study, therefore, aims to conduct a systematic and bibliometric-based review in the applications of machine learning (ML) techniques for sustainable manufacturing (SM). In the present study, we use a bibliometric review approach that is focused on the statistical analysis of published scientific documents with an unbiased objective of the current status and future research potential of ML applications in sustainable manufacturing. The present study highlights how manufacturing industries can benefit from ML techniques when applied to address SM issues. Based on the findings, a ML-SM framework is proposed. The framework will be helpful to researchers, policymakers and practitioners to provide guidelines on the successful management of SM practices. A comprehensive and bibliometric review of opportunities for ML techniques in SM with a framework is still limited in the available literature. This study addresses the bibliometric analysis of ML applications in SM, which further adds to the originality
    • Managing innovation and operations in the 21st century.

      Garza-Reyes, J.A.; Kumar, V.; Martinez-Covarrubias, J.L.; Lim, M.K.; University of Derby; Coventry University (CRC Press, 2017-08-10)
      his book is for directors, consultants, practitioners, and professionals aspiring to effectively manage operations, but is targeted at applying innovation to the management of operations, including supply chains. It is appropriate for those establishing a career in innovation and operations management. This book will: Equip readers with understanding of the nature of innovation, operations management concepts, business models, methods and tools; Explore best practices and most commonly used operations and innovation business models, methods, and tools used by successful organisations; Consider particular operational issues directly impact the competitiveness of organisations.
    • Managing operations for circular economy in the mining sector: An analysis of barriers intensity

      Rajesh, Singh; Kumar, Anil; Garza-Reyes, Jose Arturo; M.de Sác, Marcelo; University of Derby (Elsevier, 2020-08-17)
      The rapid development of industrialization has created significant opportunities for economic growth and development, but its operational activities have impulsively degraded the environment. Circular Economy (CE) practices may help industries, and particularly extracting industries such as mining, to optimize the use of its resources and minimize waste. This would further help to overcome the threats which the traditional linear model poses to the economic growth and development of any healthy economy. This paper aims to identify the barriers to executing the CE model within the context of the Indian mining industry. The five major categories of barriers (i.e. financial, market, government policies and regulations, organizational and operational) and their respective sub-barriers which are responsible for hindering the implementation of CE in the mining sector are identified through an extensive literature review and experts’ opinion. To determine the priority of the barriers and their intensity index, a hybrid technique comprising of the analytical hierarchy process (AHP) and graph-theoretic approach (GTA), is employed. The AHP analysis indicated that ‘government policies and regulations’ was the main barrier to the implementation of CE in the Indian mining sector (43.8%), followed by ‘market barriers’ with a weighting score of 24.6%. However, based on GTMA, the highest intensity was observed for ‘operational’, category of barriers followed by the ‘organizational’ category of barriers. The outcomes of the study would help managers from the mining industry not only to overcome the identified barriers for managing operations for CE but also to optimize and effectively meliorate the consumption and extraction of resources.
    • Managing Reverse Exchanges in Service Supply Chains

      Kumar, Vikas; Amorim, Marlene; Bhattacharya, Arijit; Garza-Reyes, Jose Arturo; Centre for Supply Chain Improvement, The University of Derby (Emerald, 2015-12-18)
      Purpose - This study aims to address the management of reverse flows in the context of service supply chains. The study builds on the characteristics of services production reported in literature to: identify diverse types of reverse flows in services supply chains; discuss key issues associated to the management of reverse service flows; and suggest directions for research for developing the knowledge for management of reverse flows in service contexts. Design/Methodology/Approach - This study first provides an overview of the theoretical background which supports the identification and the characterization of the flows, and the reverse flows, involved in service production. A short summary of each paper accepted in this special issue is also provided to give readers an overview of the various issues around reverse exchanges in service supply chains that authors have attempted to address. Findings - In this study we identify distinct types of reverse flows in services production building on the analysis of the characteristics of service production and delivery reported in the literature. Our discussion highlights the fact that service supply chains can be quite diverse in the type of exchanges of inputs and outputs that take place between customers and providers, showing that often there can be substantial flows of items to return. In particular, and differently from manufacturing contexts, we highlight that in service supply chains providers might need to handle bi-directional reverse flows. Research limitations/implications - The lack of research on reverse service supply chains is to a great extent a consequence of dominant paradigms which often identify the absence of physical product flows as a key distinguishing feature of service supply chains, and therefore lead to the misbelief that in services there is nothing to return. This special issue therefore aims to clarify this misunderstanding through the limited selection of eight papers that address various issues around reverse exchanges in service supply chains. Originality/value - While theoretical and empirical research in supply chain is abundant, management of reverse exchanges in service supply chain is sparse. In this special issue we aim to provide a first contribution to understand how the characteristics of service production raise new issues for the management of reverse flows in service supply chains, and to foster the development of adequate management strategies.
    • Mapping the human resource focused enablers with sustainability viewpoints in Indian power sector.

      Yadav, Mohit; Kumar, Anil; Mangla, Sachin Kumar; Luthra, Sunil; Bamel, Umesh; Garza-Reyes, Jose Arturo; Jindal Global University; University of Derby; University of Plymouth; Government Engineering College, Nilokheri, India; et al. (Elsevier, 2018-11-15)
      Sustainability is defined a triple bottom line approach, which concentrates on economic, social and environment growth of any organisation. In order to achieve sustainability objective, the human resource focused enablers are playing a significant role in optimising expenses, improving productivity and quality of work. Therefore, the present study seeks to build a model for the enablers of human resource development for sustainability in India power sector. The study findings help the sector to improve the productivity of their workers and establish all the enablers, which can be seen to improve quality of work life in the Indian power sector. Improved human resource capabilities and work conditions provide not only much needed motivation to power sector employees to improve their efficiency but also assist to accomplish social-ecological-economic organizational sustainability. Total Interpretive Structural Modelling with Matrice d'Impacts Croisés Multiplication Appliqués à un Classement (MICMAC) analysis has been applied to build a structural model and to identify the driving force and dependence power of enablers. Validation of relationships among the enablers and managerial implications are also discussed. According to the findings, the enablers ‘work safety and healthy working conditions’ have the highest driving power. The outcomes of this study can help the power sector to enhance human resource capabilities and quality of work life within the organization through provision of a benchmark model and help to accomplish sustainable development initiatives in its business.
    • An MCDA cause-effect factors model for the implementation of Greenstone digital library soft-ware

      Rathee, S; Kumar, A; Kaushik, S; Kazimieras Zavadskas, E; Banaitis, A; Garza-Reyes, J.A.; Ganga Institute of Management and Technology, Haryana, India; University of Derby; PDM University, Bahadurgarh, India; Vilnius Gediminas Technical University, Vilnius, Lithuania (Emerald, 2020-06-16)
      The selection of an effective library software plays an important role not only for students, academic staff, and the library staff but it also helps an institution by having the library management system more centralized. Therefore, the aim of this study is to develop a Multiple- Criteria Decision Analysis (MCDA) cause and effect factor model for the implementation of the Greenstone digital library (GSDL) software. A thorough review of the literature is conducted to develop an initial list of the appropriate evaluation factors that play a significant role in the implementation of GSDL software. The data was collected from a domain of experts in the library sciences field. A combined approach of Delphi-DEMATEL methods is employed for the definition of these factors and to construct an MCDA cause-effect model which represent their relationships. The DEMATEL analysis resulted in the division of all factors into two groups, i.e., causes and effects. The results show that content management, having a user-friendly interface and usability, information search and retrieval, authentication and authorization fall into the cause group. These factors directly affect the remaining factors. Content acquisition, classification, access, control and privacy management, plus metadata submission and support fall into the effect group. The research findings can help library professionals to make effective decisions to facilitate the successful implementation of GSDL software in a library and the enhancement of library technology. The results of this study can be useful for library professionals and decision-makers to select the most appropriate software for the implementation of library technology. The study analysis shows that for GSDL, having a user-friendly interface and usability, information search and retrieval plus authentication, and authorization factors have seven positive relationships with other factors. Secondly, content management and classification have six relationships with other factors. Thirdly, access control plus privacy and management have two relationships. Content acquisition has only one relationship with other factors. It is recommended that the user-friendly interface and usability, information search and retrieval, as well as authentication and authorization should be the initial areas of focus if GSDL is to be implemented successfully in digital libraries. The proposed MCDA cause-effect model can be useful for library professionals or decision-makers in the context of selecting software to be implemented in a library and to minimize implementation costs.
    • Measuring and improving customer retention at authorised automobile workshops after free services.

      Kumar, Anil; Luthra, Sunil; Khandelwal, Dinesh Kumar; Mehta, Rajneesh; Chaudhary, Nityanand; Bhatia, Sukhdev; BML Munjal University; Government Engineering College, Nilokheri, India (Elsevier, 2017-07-29)
      Customer retention is vital for businesses with much research literature now available. But nothing has been investigated regarding measuring and improving customer retention at authorised automobile workshops after free services. Even after providing extensive warranties and other free service benefits, customers don’t use authorised workshops although their vehicles are still under warranty. By not arranging regular maintenance services, customers lose warranty benefits, with product performance and safety related awareness undermined; companies lose huge business potential. Therefore, this study aims to measure and improve customer retention at authorized automobile workshops after free services. To achieve this, a four-phased study has been conducted. In phase one, a combination of a literature review and expert opinions is used to identify customers’ retention factors. The second and third phases describe how data is collected from industry experts and customers. Analytical Hierarchy Process (AHP) and Decision Making Trial & Evaluation Laboratory (DEMATEL) are used to prioritise and examine inter-relationships among factors. In the last phase, the study recommends three business strategies to help a company to improve customer retention and make their Annual Maintenance Contract (AMC) product more customer friendly.
    • Measuring business sustainability maturity-levels and best practices

      Meza-Ruiz, Itzel D.; Rocha-Lona, Luis; del Rocío Soto-Flores, María; Garza-Reyes, Jose Arturo; Kumar, Vikas; Lopez-Torres, Gabriela Citlalli; Instituto Politécnico Nacional; University of Derby; University of the West of England; Ciudad Universitaria Aguascalientes (Elsevier, 2017-09)
      There has been an increasing interest in corporate sustainability (CS) and how companies should strive for it in order to satisfy stakeholders’ demands concerning social, economic, and environmental impacts. The purpose of this paper was to identify the best sustainability practices and the sustainability maturity levels that allow manufacturing and service companies to contribute to sustainable development in the long run. Based on a qualitative approach, a comparative study of five large companies was deployed in order to determine their sustainability maturity levels and best practices. The research method consisted of a critical review of the literature and category analysis concerning corporate sustainability trends and some of the best well-known performance frameworks such as the Global Reporting Initiative (GRI), business excellence models (BEMs), and international standards. The main findings reveal that companies’ sustainability maturity levels range from satisfactory to sophisticated in several sustainability aspects. Best sustainability practices found in this sample include the use of certifications such as ISO 9000, ISO 14001, GRI, and CSR, among others, combined with the systematic use of BEMs over many years. Finally, several key processes such as self-assessment, benchmarking, corporate reporting, strategic planning, and systematic training were found to be significant in helping manufacturing and service organisations achieve their business sustainability objectives.
    • Measuring lean readiness through the understanding of quality practices in the Turkish automotive suppliers industry.

      Garza-Reyes, Jose Arturo; Ates, Emre Mehmet; Kumar, Vikas; University of Derby; University of Warwick; University of the West of England (Emerald, 2015-11-09)
      Purpose – The purpose of this paper is to present a study that evaluates the readiness level of the Turkish automotive suppliers industry (T-ASI) to provide a foundation for the successful implementation and/or sustainment of lean practices. Design/methodology/approach – The paper adapts an assessment framework developed by Al-Najem et al. (2013) to conduct the evaluation of the lean readiness (LR) of the T-ASI. Thus, the LR assessment is based on six quality practices related to lean manufacturing (LM), namely: processes; planning and control; human resources; top management and leadership; customer relations; and supplier relations. One research question and three hypotheses were formulated and tested using a combination of descriptive statistics and t-test and Levene’s tests. Data were collected through a survey questionnaire responded by 48 manufacturing organisations members of the Association of Automotive Parts and Components Manufacturers (TAYSAD). Findings – The results of the study revealed that the T-ASI has a high level of LR, especially in the areas of customer relations and top management and leadership while processes, planning and control and supplier relations still need to be enhanced. In addition, the study found that company size has no effect on the LR level of suppliers whereas supplier level and location of customers have. Practical implications – As the LR level of the T-ASI is measured, this research study increases the awareness of supplier companies with respect to complementary quality practices that support the implementation and/or sustainment of LM. Thus, managers can use this study as a platform to take better decisions regarding what quality aspects of their operations need to be enhanced to successfully deploy or sustain a lean strategy. Originality/value – This research is among the very few studies that have focused on evaluating how ready the T-ASI is to successfully implement or sustain lean practices. For this reason, this research expands the very limited existent body of knowledge of LM in the T-ASI.
    • Measuring operational excellence: an operational excellence profitability (OEP) approach.

      Gólcher-Barguil, L.A.; Nadeem, S.P.; Garza-Reyes, J.A.; University of Derby (Taylor & Francis, 2019-03-08)
      The pursuit of operational excellence in the manufacturing industry is at rise, but its measurement still lacks of appropriate indicators to determine its financial benefits. The ambiguity is due to the impact arisen from manufacturing fluctuations such as price and cost, production mix, and direct and indirect parameters variations. Manufacturing fluctuations distort the cost benefit of operational excellence. This paper therefore proposes the OEP (Operational Excellence Profitability) indicators to isolate the impact of manufacturing fluctuation, and distinctly identify the payback of operational excellence strategies and initiatives through cost benefits of achieving higher efficiency and yield. The paper presents the conceptual and mathematical development of the proposed OEP indicators and the formulas used for their calculation. Hypothetical and industrial-based investigations and applications of the OEP indicators are conducted for their validation. The results obtained from the hypothetical exercise and industrial case suggest that OEP indicators can provide an effective cost benefit analysis of operational excellence. This would contribute in providing manufacturing organisations with more complete information regarding the performance of their processes, which will allow their directors and managers to take better decisions related to the management and improvement of their processes.
    • Measuring the lean readiness of Kuwaiti manufacturing industries.

      Al-Najem, Mohammed; Garza-Reyes, Jose Arturo; ElMelegy, Ahmed; Gulf University for Science and Technology; University of Derby (Inderscience, 2018-10-04)
      The purpose of this paper is to measure the readiness of the Kuwaiti small and medium sized manufacturing industries to implement the lean system through an evaluation of their existing quality practices, and compare such readiness among different product sectors and ownership types. This study adopts the measurement framework developed by Al-Najem et al. (2013), which establishes six constructs related to lean quality practices, namely: process, planning and control, customer relations, suppliers relations, HR, and top management and leadership. Data were collected from a survey of 50 Kuwaiti small and medium sized manufacturing industries operating in different industrial sectors. One research question and two hypotheses were developed and tested using t-test and Levene’s test, descriptive analysis, and one-way ANOVA. The results demonstrate that the Kuwaiti small and medium sized manufacturing industries are far from being ready to implement lean. In addition, the study found that product sector and ownership type have no significant impact on the lean readiness in the Kuwaiti small and medium sized manufacturing industries. This research provides insight into preparing Kuwaiti, and other small and medium sized manufacturing industries, to implement the lean system by creating an assessment of their existing lean practices and lean readiness. This research is among a limited number of studies that have addressed lean within the Arab region, and only the second to examine the level of lean readiness of the Kuwaiti small and medium sized manufacturing industries. It expands the literature on lean in developing countries, particularly in the Arab region, and can provide guidance to research within other countries in the region.
    • Measuring the level of lean readiness of the Hong Kong's manufacturing industry

      Garza-Reyes, Jose Arturo; Wong, Kam-Kuen; Lim, Ming K.; Kumar, Vikas; The University of Derby (2016-06)
      Increasingly competitive business environments have forced manufacturing organisations to continuously seek improvements in their production processes as an alternative to achieve operational excellence. Lean manufacturing principles and techniques based on the elimination waste have been widely used by manufacturing organisations around the world to drive such improvements. The purpose of this paper is to present an empirical study that evaluates the readiness level of the Hong Kong’s manufacturing industry to provide a foundation for the successful implementation and/or sustainment of lean practices. To conduct this study, the paper adapts an assessment framework developed by Al-Najem et al. [16]. Thus, the lean readiness assessment is based on six quality practices (i.e. planning & control; processes; human resources; customer relations; supplier relations; and top management & leadership) related to lean manufacturing. One research question and three hypotheses were formulated and tested using a combination of inferential statics (i.e. Levene’s test and t-test) and descriptive statistics. Data were collected through a survey questionnaire responded by 9 manufacturing organisations with operations in Hong Kong. The findings suggest that the Hong Kong’s manufacturing organisations surveyed do not currently have a well-developed foundation to implement or sustain lean manufacturing. In particular, these organisations present important opportunities to further develop some quality practices such as processes, planning & control, customer relations, supplier relations, human resources, and top management & leadership. The improvement of these quality practices will ensure, according to Al-Najem et al.’s [16] framework, a more effective implementation and sustainment of lean manufacturing in their operations.
    • A multi-agent architecture for outsourcing SMEs manufacturing supply chain.

      Kumari, Sushma; Singh, Akshit; Mishra, Nishikant; Garza-Reyes, Jose Arturo; Aberystwyth University; University of Derby (Elsevier, 2015-01-31)
      In the present, global and competitive market customer's demands are very volatile. It is very difficult for small and medium size enterprises (SMEs) to satisfy their customer with quality product in reasonable price. Large firms are spending huge amount of their budget in generating technology development. To cope with this competitive market, usually, SMEs concentrate on their core expertise and outsource some non-core items or activities. The outsourcing decision (when, what, whom) is very crucial for small-scale industries. Realizing this scenario, in this article, an automated self-adaptive multi-agent system has been proposed. The proposed system will help SMEs to take an appropriate decision to mitigate the uncertainty in supply chain. The developed system exploits the “Outsourcing of operations” feature by its agents to conclude the manufacturing processes faster and reduce the idle time of certain machines with less human intervention. The communication protocol for agents has been described to give an insight of their communication. It was explained how various agents like outsourcing, material planning and supplier selection will come into action at different stages and take appropriate outsourcing decisions. Therefore, this multi-agent architecture will facilitate small scale manufacturing industries to execute their manufacturing processes and complex logistics issues efficiently. The execution of proposed architecture has been described in the simulated case study.
    • A multi-objective linear optimization model for designing sustainable closed-loop agricultural supply chain

      Reyhani Yamchi, Hossein; Jabarzadeh, Younis; Ghaffarinasab, Nader; Kumar, Vikas; Garza-Reyes, J.A.; University of Tabriz, Tabriz, Iran; University of the West of England; University of Derby (IEOM Society, 2020-03)
      Demand for agricultural products will grow by nearly 70 percent in 2050 and high volume of chemical pesticides and agricultural fertilizers along with considerable waste in this sector induces serious environmental concerns. Hence it is not a priority but a necessity to modify unsustainable procedures to make them sustainable. The aim of this study is developing and analyzing a multi-objective (MO) linear mathematical model for sustainable close-loop agricultural supply chain (CLASC) with a deteriorating product to determine (1) the optimal flow to every echelon and (2) the optimal location of some facilities to achieve three objectives: reducing costs and carbon dioxide (CO2) emissions throughout the proposed supply chain (SC) network, and increasing the responsiveness. Finally, a numerical example is used to evaluate the optimization model.
    • A new perspective of e-trust in the era of social media: Insights from customer satisfaction data

      Ramanathan, U; Williams, N.L.; Zhang, M; Sa-nguanjin, P; Garza-Reyes, J.A.; Borges, L.A.; Nottingham Trent University; University of Portsmouth; Global University Systems, 30 Holborn, London; University of Derby; et al. (IEEE, 2020-05-20)
      In this era of social media, products and services are sold globally using a few simple clicks online. In such online purchases, trust and familiarity are considered two important driving forces of consumer decision making. While online sales advocate high levels of flexibility and choices for consumers, they also hold the online service provider responsible for ensuring the security of the online user’s data. Using a Structural Equation Model (SEM) with data collected from the online service industry, we test the direct effects of ‘social media-induced purchase intention’ on customer satisfaction. We also test the mediating role of e-commerce/online sales (e-advertisement, e-safety and e-information) on customer satisfaction. In addition to social media advertising and information sharing, we find that a new factor – ‘e-safety’ – mediates the relationship between customer purchase intention and customer satisfaction. Our analysis indicates that online e-trust can be established between the customer and the service company when online purchases are made. At the same time, the quality of online information and e-safety of online payments make the service company trustworthy for future purchases. We relate data analysis directly to managerial decision making to avoid any delay in online customer services in the era of social media.
    • Nexus of circular economy and sustainable performance in the era of digitalization

      Agrawal, Rohit; Wankhede, Vishal Ashok; Kumar, Anil; Upadhyay, Arvind; Garza-Reyes, Jose Arturo; National Institute of Technology Tiruchirappalli, Tiruchirappalli, India; Pandit Deendayal Energy University, Gandhinagar, India; London Metropolitan University; University of Brighton; University of Derby (Emerald, 2021-04-01)
      This study aims to conduct a comprehensive review and network-based analysis by exploring future research directions in the nexus of circular economy (CE) and sustainable business performance (SBP) in the context of digitalization. A systematic literature review methodology was adopted to present the review in the field of CE and SBP in the era of digitalization. WOS and SCOPUS databases were considered in the study to identify and select the articles. The bibliometric study was carried out to analyze the significant contributions made by authors, various journal sources, countries and different universities in the field of CE and SBP in the era of digitalization. Further, network analysis is carried out to analyze the collaboration among authors from different countries. The study revealed that digitalization could be a great help in developing sustainable circular products. Moreover, the customers' involvement is necessary for creating innovative sustainable circular products using digitalization. A move toward the product-service system was suggested to accelerate the transformation toward CE and digitalization. The paper discusses digitalization and CE practices' adoption to enhance the SP of the firms. This work's unique contribution is the systematic literature analysis and bibliometric study to explore future research directions in the nexus of CE and SP in the context of digitalization. The present study has been one of the first efforts to examine the literature of CE and SBP integration from a digitalization perspective along with bibliometric analysis.
    • A Novel Location-Inventory-Routing Problem in a Two-Stage Red Meat Supply Chain with Logistic Decisions: Evidence from an Emerging

      Rahbari, M.; Razavi Hajiagha, S. H.; Amoozad Mahdiraji, H.; Riyahi Dorcheh, F.; Garza-Reyes, Jose Arturo; Kharazmi University, Tehran, Iran; De Montfort University; University of Tehran, Tehran, Iran; University of Derby (Emerald, 2021-05-31)
      This study focuses on a specific method of meat production that involves carcass purchase and meat production by packing facilities with a novel two-stage model that simultaneously considers location-routing and inventory-production operating decisions. The considered problem aims to reduce variable and fixed transportation and production costs, inventory holding cost and the cost of opening cold storage facilities. The proposed model encompasses a two-stage model consisting of a single-echelon and a three-echelon many-to-many network with deterministic demand. The proposed model is a mixed-integer linear programming (MILP) model which was tested with the general algebraic modelling system (GAMS) software for a real-world case study in Iran. A sensitivity analysis was performed to examine the effect of retailers' holding capacity and supply capacity at carcass suppliers. In this research, the number of products transferred at each level, the number of products held, the quantity of red meat produced, the required cold storage facilities and the required vehicles were optimally specified. The outcomes indicated a two percent (2%) decrease in cost per kg of red meat. Eventually, the outcomes of the first and second sensitivity analysis indicated that reduced retailers' holding capacity and supply capacity at carcass suppliers leads to higher total costs. This research proposes a novel multi-period location-inventory-routing problem for the red meat supply chain in an emerging economy with a heterogeneous vehicle fleet and logistics decisions. The proposed model is presented in two stages and four-echelon including carcass suppliers, packing facilities, cold storage facilities and retailers.
    • A novel time, cost, quality and risk tradeoff model with a knowledge-based hesitant fuzzy in-formation: An R&D project application

      Mahdiraji, H.A; Sedigh, M.; Hajiagha, S.H.R.; Garza-Reyes, Jose Arturo; Jafari-Sadeghi, V.; Dana, L.P.; De Montfort University, Leicester; Khatam University, Tehran, Iran; University of Derby; Northumbria University; et al. (Elsevier, 2021-08-01)
      This paper proposes a novel approach for identifying the best implementation situation for each activity in a project by optimizing and balancing time, cost, quality, and risk criteria under uncertain circumstances. A hesitant fuzzy linguistic term sets (HFLTs) approach is proposed to determine the status of project activities in the presence of quality and risk criteria alongside their time and cost. Afterwards, a multi-objective linear programming (MOLP) model is formulated for a time, cost, quality, and risk tradeoff (TCQRT). To validate the model, a research and development project in the food industry was investigated. The results indicate that the project’s time compared to the deterministic approach was reduced by 20%. Completing the R&D project earlier than other competitors bring higher profit than tradeoff expenses, even without considering the quality and risk tradeoff benefits of the proposed approach. Considering uncertainty in risk and quality of activities via HFLTs and also optimizing all four elements of time, cost, quality, and risk simultaneously in a project are the main values of this research. The proposed approach can be employed by managers to adopt and optimize project planning and scheduling while trading off TCQR in uncertain circumstances.
    • Optimisation of a distribution system in the retail industry: An Australian retail industry

      Amjad, M., Daniel, J., Garza-Reyes, J.A.; University of Derby (IEOM Society, 2019-03)
      This paper develops a mathematical model based on inventory routing problem that aims to minimise transportation cost, inventory carrying cost and optimises delivery schedules in a retail Australian industry. A supply chain is considered which comprises of a single distribution centre, having homogenous fleet of vehicles, supplying a single product to multiple retailers having deterministic demand. The mathematical model takes into account varying level of road congestion.
    • Organisational learning and industry 4.0: Findings from a systematic literature review and research agenda

      Belinski, Ricardo; Peixe, Adriana M.M.; Frederico, Guilherme F.; Garza-Reyes, Jose Arturo; Federal University of Paraná, Curitiba, Brazil; University of Derby (Emerald, 2020-07-06)
      Industry 4.0 has been one of the most topic of interest by researches and practitioners in recent years. Then, researches which bring new insights related to the subjects linked to the Industry 4.0 become relevant to support Industry 4.0’s initiatives as well as for the deployment of new research works. Considering “Organisational Learning” as one of the most crucial subjects in this new context, this article aims to identify dimensions present in the literature regarding the relation between Organisational Learning and Industry 4.0 seeking to clarify how learning can be understood into the context of the fourth industrial revolution. In addition, future research directions are presented as well. This study is based on a systematic literature review (SLR) that covers Industry 4.0 and Organisational Learning based on publications made from 2012, when the topic of Industry 4.0 was coined in Germany, using as data basis Web of Science and Google Scholar. Also, Nvivo software was used in order to identify keywords and the respective dimensions and constructs found out on this research. Nine dimensions were identified between Organisational Learning and Industry 4.0. These include Management, Industry 4.0, General Industry, Technology, Sustainability, Application, Interaction between Industry and the Academia, Education and Training, and Competency and Skills. These dimensions may be viewed in three main constructs which are essentially in order to understand and manage Learning in Industry 4.0’s programs. They are: Learning Development, Industry 4.0 Structure and Technology Adoption. Even though there are relatively few publications that have studied the relationship between Organisational Learning and Industry 4.0, this article makes a material contribution to both the theory in relation to Industry 4.0 and the theory of learning - for its unprecedented nature, introducing the dimensions comprising this relation as well as possible future research directions encouraging empirical researches. This article identifies the thematic dimensions relative to Industry 4.0 and Organisational Learning. The understanding of this relation has a relevant contribution to professionals acting in the field of Organisational Learning and Industry 4.0 in the sense of affording an adequate deployment of these elements by organisations. This article is unique for filling a gap in the academic literature in terms of understanding the relation between Organisational Learning and Industry 4.0. The article also provides future research directions on learning within the context of Industry 4.0.