• 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.
    • Environmental, social and economic growth indicators spur logistics performance: from the perspective of South Asian Association for regional cooperation countries.

      Khan, Syed Abdul Rehman; Jian, Chen; Zhang, Yu; Golpîra, Hêriş; Kumar, Anil; Sharif, Arshian; School of Economics and Management, Tsinghua University, Beijing, China; School of Economics and Management, Chang'an University, Xi'an, Shaanxi, 710064, China; Department of Industrial Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran (Elsevier., 2019-03)
      This article examines the association between green logistics operations, social, environmental and economic indicators of SAARC (South Asian Association for Regional Cooperation) countries. The research used GMM (Generalized Method of Moments) and FGLS (Feasible Generalized Least Squares) two methods to tackle the problems of heterogeneity, serial correlation and heteroskedasticity. The findings show that fossil fuel consumption is at the heart of logistics operations; the more fossil fuel and non-green energy resources that are used, the more negative effects on society and environmental sustain-ability result from this. A lower quality of transport-related infrastructure and logistics services is negatively correlated with fossil fuel usage, carbon emissions, health expenditure, greenhouse gas emissions and political instability of SAARC countries. Conversely, efficient customs procedures and greater information sharing among supply chain partners increase trade opportunities and also improve environmental sustainability in terms of minimum carbon emissions due to the shorter waiting and queue times involved. Further, the application of green energy resources and green practices can mitigate negative effects on social and environmental sustainability due to better logistics operations while improving financial performance in terms of higher GDP per capita, trade openness and greater export opportunities around the globe. As there is very limited research using green practices relationship with macro-level indicators in current literature, this research will assist both practitioners and policy makers to understand the roles of green supply chain and green logistics in enhancing environmental sustain-ability, social improvement and economic growth for a better future.
    • The adoption of operational environmental sustainability approaches in the Thai manufacturing sector

      Piyathanavong, V., Garza-Reyes, J.A., Kumar, V., Maldonado-Guzman, G., Kumar Mangla, S.; University of Derby (Elsevier, 2019-02-19)
      Evidence suggests that manufacturing companies have tried to address the current environmental challenges derived from their operations by implementing various operational environmental sustainability approaches, including green manufacturing (GM), cleaner production (CP), green lean (GL), green supply chain management (GSCM), reverse logistics (RLs) and circular economy (CE). However, although their adoption is well documented in developed nations and few other countries, very little has been done to understand such phenomenon in a rapid developing country such as Thailand. This paper aims at filling this gap by providing light into some fundamental issues regarding the implementation of these approaches in the manufacturing sector of Thailand. A survey-based exploratory research was carried out based on 287 Thai manufacturing companies. The data was analysed using a combination of descriptive and inferential statics. The study revealed that a large amount of investment capacity, and proper training & knowledge are needed to fully implement the studied operational approaches. This resulted in some of the weakest elements of Thai manufacturing firms and hence the main barriers to their implementation. The study also showed that Thai manufacturing firms consider the impact on the environment and benefits from adopting these operational approaches as company’s policy and own initiative, environmental awareness, and cost saving from conservation of energy as the main reasons for adopting the studied operational approaches. Finally, the findings also indicate that Thai manufacturing firms tend to implement them because of internal factors and that they lack of motivation from external factors and involvement from other stakeholders. The paper extends the current limited knowledge on the deployment of operational environmental sustainability approaches in Asia, and its results can be beneficial for organisations that aim at effectively adopting them to improve their operation’s sustainability.
    • The challenges of GSCM implementation in the UK manufacturing SMEs.

      Kumar, Vikas; Sabri, Shahruzzaman; Garza-Reyes, Jose Arturo; Nadeem, Simon Peter; Kumari, Archana; Akkaranggoon, Supalak; University of the West of England; University of Warwick; Khon Kaen University; University of Derby (IEEE, 2019-01-31)
      The importance of green supply chain management has long attracted the interest of both researchers and practitioners in the industry. As environmental concerns are becoming one of the major issues discussed in the 21st century, countries with manufacturing as its principal economy contributor are always on the lookout for innovations and new approaches to balance both environmental considerations and profit making. The UK, being one of the top manufacturing countries in the world already considered green initiatives among their manufacturers. According to reports from the industry, large and international manufacturing companies from the UK have successfully implemented some green initiatives with significant improvements across the supply chain. However, the adoption of green initiatives is mainly focused on large companies rather the real backbone of the UK manufacturing industry, which is the small and medium-sized enterprises (SMEs). This paper therefore sets out to determine the implementation level of green supply chain among the SMEs. The paper adopts a mixed methods based approach and findings are based on 57 survey responses and 5 semi-structured interviews from UK manufacturing SMEs. The findings show that the level of GSCM implementation among the UK manufacturing SMEs is low compared to large organisations. Cost of implementing GSCM practices emerged as a key challenge faced by the UK manufacturing SMEs which was followed by the lack of knowledge within the organisation. This study thus adds to the limited literature on the manufacturing SMEs and provides evidence from the UK manufacturing sector on the adoption of GSCM practices.
    • Improving the reliability of warehouse operations in the 3PL Industry: an Australian 3PL case study.

      Dieu Ho, Thi Hien; Daniel, Jay; Nadeem, Simon Peter; Garza-Reyes, Jose Arturo; Kumar, Vikas; International College of Management, Manly NSW; University of Derby; University of the West of England (IEEE, 2019-01-31)
      Warehouses play an important value-adding role to provide a competitive edge, support business growth and efficiency throughout their supply chains. This paper explores warehouse operations (i.e. receiving, put away, picking, packing and shipping) and a series of challenges faced in managing warehouse operations in general and the 3PL industry in particular. Especially, the paper analyses the warehouse and logistics operations of an Australian 3PL company. By utilizing a mixed method approach both qualitative and quantitative data was gathered through in-depth interviews, direct observations and warehouse operations records. The collected data were then analyzed using thematic analysis. The data was screened and coded to further develop major themes to identify the problematic areas. This analysis helped to identify issues in operations related to the receiving process, missing, picking and locating items as well as human errors. While multiple approaches could be utilized to improve the operations, there yet remained a major challenge to manage operations within the planned budgetary limits. This research, therefore, provides some solutions/recommendations to improve the case company’s warehouse operations through staff empowerment, management process improvement, order dispatch and return process improvement, improvement in record keeping, and recruiting more personnel. These recommendations ensure company’s efficiency while balancing its challenges both in operations and budgetary constraints. This study thus provides an evidence to improve the reliability of warehouse operations through systematic process improvement.
    • The circular economy impact on small to medium enterprises

      Thorley, J., Garza-Reyes, J.A., Anosike, A.; University of Derby (WIT Press, 2019-01-30)
      In recent years, the literature surrounding the circular economy has grown. While the notion of reducing, recycling and reusing have become adopted practices in many organisations under the umbrella of sustainability, having a circular economy is arguably the next generation step, in terms of sustainability. A systematic literature review on the circular economy identified a gap in the research, regarding the impact at the micro level to be placed on small to medium enterprises. The research concludes that a paradigm shift in circular thinking at the micro level is required, and that further research is needed to identify new skills, resources, approaches, and business models to enable subject matter experts (SMEs) to adopt a circular practice.
    • A circularity measurement toolkit for manufacturing SMEs.

      Garza-Reyes, Jose Arturo; Valls, Ailin Salomé; Nadeem, Simon Peter; Anosike, Anthony; Kumar, Vikas; University of Derby; University of Warwick; University of the West of England (Taylor and Francis, 2018-12-24)
      The development and adoption of the concept of circular economy in the last two decades have been remarkable. However, despite its widespread adoption, little progress has been made regarding its measurement, especially in manufacturing SMEs. This paper, therefore, proposes a Circularity Measurement Toolkit (CMT) which enables the assessment of the degree of circularity in manufacturing SMEs. A conceptual CMT framework, which provided the basis for the proposed tool and that defined the different types of circular practices and a classification or levels of circularity was developed from an extensive literature reviewed. To ensure the structure’s accuracy of the proposed CMT in terms of requirements to be measured, the monitoring process and actions involved, the tool was verified through a Delphi-study. Furthermore, its practicality was validated through a case study approach in a manufacturing SME. This paper contributes by filling a gap in the CE measurement field through the proposal of the CMT. Besides providing an evaluation of the degree of circularity in the practices of manufacturing SMEs, companies can also employ the proposed CMT to identify corrective actions or future efforts for the adoption of CE practices.
    • Sustainable stochastic production and procurement problem for resilient supply chain.

      Kaur, Harpreet; Singh, Surya Prakash; Garza-Reyes, Jose Arturo; Mishra, Nishikant; Birla Institute of Management Technology; Indian Institute of Technology Delhi; University of Derby; University of Hull (Elsevier, 2018-12-06)
      Traditionally business organizations take production and procurement decisions independently. First, the decision is made on product mix and then procurement plan is developed. However, procurement for all the dependent items is computed using bill of material information of independent items. Any market uncertainty in demand of independent items does not only affects production plan but also the procurement process. Also, sustainability is an essential business aspect and must be considered in production and procurement decisions. Hence, there is a need to develop a resilient integrated production and procurement model capable to capture the fluctuating market demand and also uncertainties in production, supplier & carrier capacities. The paper proposes an independent and integrated production and procurement model considering sustainability and uncertainty for a resilient supply chain. Various possible uncertainties such as market demand, machine capacity, supplier and carrier capacities in the presence of carbon emissions is also considered in the proposed models. The paper also proposed a supplier selection model under uncertainty using Fuzzy-MCDM techniques. The proposed models are MILP & MINLP, and are demonstrated using numerical illustrations solved in LINGO 10. The performance analysis is also conducted and it is found that the integrated model will always provide a more efficient optimal solution while traditional independent production & procurement models may even lead to infeasible solution.
    • 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.
    • 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; Indian Institute of Management (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.
    • 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.
    • Best supply chain management practices and high- performance firms: the case of Gulf manufacturing firms.

      AL-Shboul, Moh’d Anwer; Garza-Reyes, Jose Arturo; Kumar, Vikas; University of Derby; German-Jordanian University; University of West of England (Emerald, 2018-10)
      Purpose – The study aims to investigate the best supply chain management practices that are implemented in medium and large-sized Gulf manufacturing firms. Design/methodology/approach – This study has explored seven supply chain management practices, i.e. supplier collaboration, flexibility with partners, usage of Internet, customer focus, lean production, Internal integration, and quality management. It assumes that the best performing firms must be the ones implementing the best practices. T-test and multiple linear regression analyses were used to establish the best practices, implemented by medium and large-sized Gulf manufacturing firms. Findings – The results showed that quality management, customer focus, and supplier collaboration are considered as best supply chain management practices in Gulf manufacturing firms. Usage of internet may have been the best practice previously, but not anymore. Lean production cannot yet be qualified as, but may develop into the best supply chain management practice. Practical Implications – The study provides a useful contribution to the field of best supply chain management practices as it provides better decision-making insights and a benchmarking base to top managers, policy makers, and academics. It is likely to result in increased overall performance of their firms. Originality/value – The study provides an understanding of the distinctive characteristics of the best supply chain management practices, implemented by Gulf manufacturing firms. It has broader implications for all manufacturing firms, particularly in developing economies where the growth of manufacturing and effective management of their supply chains is a key element for the economic development.
    • Exploring industry 4.0 technologies to enable circular economy practices in a manufacturing context: a business model proposal.

      Nascimento, D.L.M; Alencastro, V; Quelhas, O.L.G; Caiado, R.G.G; Garza-Reyes, Jose Arturo; Tortorella, G.L; Federal Fluminense University; Pontifical Catholic University of Rio de Janeiro; University of Derby; National Polytechnic Institute (CINVESTAV); Federal University of Santa Catarina (Emerald, 2018-10)
      Purpose - The purpose of this study was to explore how rising technologies from Industry 4.0 can be integrated with circular economy (CE) practices to establish a business model that reuses and recycles wasted material such as scrap metal or e-waste Design/methodology/approach – The qualitative research method was deployed in three stages. Stage one was a literature review of concepts, successful factors, and barriers related to the transition towards a CE along with sustainable supply chain management, smart production systems, and additive manufacturing. Stage two comprised a conceptual framework to integrate and evaluate the synergistic potential among these concepts. Finally, stage three validated the proposed model by collecting rich qualitative data based on semi-structured interviews with managers, researchers, and professors of operations management to gather insightful and relevant information. Findings – The outcome of the study is the recommendation of a circular model to reuse scrap electronic devices, integrating web technologies, reverse logistics, and additive manufacturing to support CE practices. Results suggest a positive influence from improving business sustainability by reinserting waste into the supply chain to manufacture products on demand. Research implications/originality – The impact of reusing wasted materials to manufacture new products is relevant to minimizing resource consumption and negative environmental impacts. Furthermore, it avoids hazardous materials ending up in landfills or in the oceans, seriously threatening life in ecosystems. In addition, reuse of wasted material enables the development of local business networks that generate jobs and improve economic performance.
    • Predicting changing pattern: building model for consumer decision making in digital market

      Kumar, Anil; Mangla, Sachin Kumar; Luthra, Sunil; Rana, Nripendra P.; Dwivedi, Yogesh K.; BML Munjal University; Graphic Era University, Dehradun, India; State Institute of Engineering and Technology, Nilokheri, India; Swansea University; BML Munjal University, Gurgaon, India; Department of Mechanical Engineering, Graphic Era University, Dehradun, India; Department of Mechanical Engineering, State Institute of Engineering and Technology, Nilokheri, India; Emerging Markets Research Centre (EMaRC), School of Management, Swansea University, Swansea, UK; Emerging Markets Research Centre (EMaRC), School of Management, Swansea University, Swansea, UK (Emerald Insight, 2018-09-10)
      Purpose Consumers have the multiple options to choose their products and services, which have a significant impact on the pattern of consumer decision making in digital market and further increases the challenges for the service providers to predict their buying pattern. In this sense, the purpose of this paper is to propose a structural hierarchy model for analyzing the changing pattern of consumer decision making in digital market by taking an Indian context. Design/methodology/approach To accomplish the objectives, the research is conducted in two phases. An extensive literature review is performed in the first phase to list the factors related to the changing pattern of consumer decision making in digital market and then fuzzy Delphi method is applied to finalize the factors. In the second phase, fuzzy analytic hierarchy process (AHP) is employed to find the priority weights of finalized factors. The fuzzy set theory allows capturing the vagueness in the data. Findings The findings obtained in this study shows that consumers are much conscious about innovative and trendy products as well as brand and quality; therefore, the service providers must think about these two most important factors so that they can able to retain their consumer in their online portal. Practical implications The analysis shows that “innovative and trendy” is the first priority factor for the consumers followed by “brand and quality” and “fulfilment and time energy.” The proposed model can help the marketers and service providers in predicting customers’ preferences and their changing pattern efficiently under vague surroundings. The outcomes of this research work not only help the service provider to update their products and services according to consumers’ needs but can also help them to increase profit and minimize their risk. Originality/value This work contributes to consumer research literature focusing on problem evaluation in the context of changing pattern of consumer decision making in digital era.
    • Lean, green practices and process innovation: a model for green supply chain performance.

      Cherrafi, Anass; Garza-Reyes, Jose Arturo; Kumar, Vikas; Mishra, Nishikant; Ghobadian, Abby; Elfezazi, Said; University of Derby; Moulay Ismail University; University of the West of England; University of Hull; University of Reading; Cadi Ayyad University (Elsevier, 2018-09)
      This paper investigates the relationship between lean, green and process innovation practices and green supply chain (GSC) performance. Data were collected from 374 manufacturing firms and results analyzed using Structural Equation Modeling (SEM). The findings revealed a synergetic effect between process innovations, green and lean practices, which play a crucial role towards the improvement of GSC performance. In particular, the results suggested that: (1) lean practices such as JIT, set-up time reduction, cellular manufacturing, and waste elimination can significantly contribute to improve GSC performance; (2) green practices including eco-design, life cycle assessment, green manufacturing, reverse logistics, and waste management significantly and positively affect GSC performance; (3) process innovation practices such as fast response to new processes introduced by other companies within the same sector, pioneering disposition to introduced new processes, and number of changes in the process introduced in one year, do not have a direct contribution to improving GSC performance; finally that (4) process innovation amplifies the effect which contributes for lean and green practices to offer a higher payoff rate in terms of GSC performance when these are coupled with process innovation activities. This paper presents an innovative approach since it studies simultaneously the three dimensions of sustainability (environmental, social and economic), the lean, the innovation process and green paradigms, which are considered strategic for supply chain competitiveness. Investigating the relationships between the four strategies is a contribution that the authors hope will become a forward step for promoting sustainability in manufacturing supply chains.
    • Investigating the benefits and challenges of Total Quality Management implementation in the pharmaceutical companies

      Petliushenko, Kateryna; Kumar, Vikas; Zwiegelaar, Jeremy; Loonam, John; Garza-Reyes, Jose A.; University of Derby; University of the West of England; University of Bristol; Dublin City University (British Academy of Management (BAM), 2018-09)
      Pharmaceutical companies in Eastern European region are facing urgent quality tools implementation due to fierce global competition. The aim of this research is to provide current understanding of TQM in this region and provide further guidance on how to improve quality standards and techniques. The study follows a qualitative method and data was collected through 5 semi-structured interviews. The study highlights that TQM in pharmaceutical industry in this region is not well developed. The findings shows that there is lack of senior management commitment to TQM principles explanation and emphasises on its importance. Additionally, lack of governmental influence on quality standards and budgeting problems also affects TQM development. Moreover, there is a believe that TQM will not influence the overall performance of the company in the positive manner, since the development of such quality improvement method has to be efficiently budgeted and under current economic and political circumstances it is not possible.
    • A lean-TOC approach for improving emergency medical services (EMS) transport and logistics operations.

      Garza-Reyes, Jose Arturo; Villarreal, Bernardo; Kumar, Vikas; Diaz-Ramirez, Jenny; University of Derby; Universidad de Monterrey; University of the West of England; Centre for Supply Chain Improvement, The University of Derby, Derby, UK; Engineering Department, Universidad de Monterrey, San Pedro Garza Garcia, Mexico; Bristol Business School, University of the West of England, Bristol, UK; Engineering Department, Universidad de Monterrey, San Pedro Garza Garcia, Mexico (Taylor and Francis, 2018-08-21)
      The improvement of transport and logistics performance of Emergency Medical Services (EMSs) systems has been mainly addressed through mathematical modelling, operations research, and simulation methods. This paper proposes an alternative and/or complementary improvement approach based on the adaptation and simultaneous deployment of lean thinking and Theory of Constraint (TOC) methods and tools. The paper briefly reviews key aspects of the application of lean in the logistics and healthcare industries and conceptually develops the proposed lean-TOC approach. The approach is then tested, through an individual detail case study, in the EMS transport and logistic system of the Red Cross operating in the metropolitan area of Monterrey, Mexico. The results obtained from the case study suggest that the proposed systematic lean-TOC approach may be an effective alternative and/or complement to mathematical modelling, operations research, and simulation methods to improve EMS transport and logistics operations.
    • A lean transportation approach for improving emergency medical operations.

      Villarreal, Bernardo; Garza-Reyes, Jose Arturo; Granda-Gutiérrez, Edgar; Kumar, Vikas; Lankenau-Delgado, Samantha; Universidad de Monterray; University of Derby; University of the West of England (Taylor and Francis, 2018-08-14)
      This paper extends the approach of Lean transportation to improve the performance of emergency medical processes (EMP) by adapting its main concepts into the main characteristics of the EMP environment. The paper is based on an inductive theory-building process initiated from a case study in the field of emergency medical services. The development of the suggested performance improvement approach triggered from an exhaustive analysis of a process involved and an exploratory review of the existing improvement approaches available. The process of concern can be described as a specialized transportation process, where human lives are at risk. Its characteristics led to a natural application of Lean transportation. The results include, a novel approach for improving the agility and efficient EMS processes. This is validated with an application for improving ambulance response times and turnaround times of the Red Cross operations located in Monterrey, Mexico. The approach proved to be an integrated scheme for identifying waste opportunities at a systems level. This characteristic is important to let operations management prioritize improvement efforts in a limited budget situation. This work suggests the application of the emerging Lean transportation approach for increasing the agility performance of EMS processes.
    • Capturing user sentiments for online Indian movie reviews.

      Trivedi, Shrawan Kumar; Dey, Shubhamoy; Kumar, Anil; Indian Institute of Management Sirmaur, Sirmaur, India; Indian Institute of Management Indore, Indore, India; University of Derby; Department of IT and Systems, Indian Institute of Management Sirmaur, Sirmaur, India; Department of Information Systems, Indian Institute of Management Indore, Indore, India; Department of Decision Science, BML Munjal University, Gurgaon, India (Emerald Insight, 2018-08-06)
      Sentiment analysis and opinion mining are emerging areas of research for analysing Web data and capturing users’ sentiments. This research aims to present sentiment analysis of an Indian movie review corpus using natural language processing and various machine learning classifiers. In this paper, a comparative study between three machine learning classifiers (Bayesian, naïve Bayesian and support vector machine [SVM]) was performed. All the classifiers were trained on the words/features of the corpus extracted, using five different feature selection algorithms (Chi-square, info-gain, gain ratio, one-R and relief-F [RF] attributes), and a comparative study was performed between them. The classifiers and feature selection approaches were evaluated using different metrics (F-value, false-positive [FP] rate and training time).The results of this study show that, for the maximum number of features, the RF feature selection approach was found to be the best, with better F-values, a low FP rate and less time needed to train the classifiers, whereas for the least number of features, one-R was better than RF. When the evaluation was performed for machine learning classifiers, SVM was found to be superior, although the Bayesian classifier was comparable with SVM. This is a novel research where Indian review data were collected and then a classification model for sentiment polarity (positive/negative) was constructed.
    • Construction of capital procurement decision making model to optimize supplier selection using Fuzzy Delphi and AHP-DEMATEL

      Kumar, Anil; Pal, Amit; Vohra, Ashwani; Gupta, Sachin; Manchanda, Suryakant; Dash, Manoj Kumar; BML Munjal University; Indian Institute of Information Technology and Management; BML Munjal University, Gurugram, India; MBA-Hero Lead, BML Munjal University, Gurugram, India; MBA-Hero Lead, BML Munjal University, Gurugram, India; MBA-Hero Lead, BML Munjal University, Gurugram, India; MBA-Hero Lead, BML Munjal University, Gurugram, India; Indian Institute of Information Technology and Management, Gwalior, India (Emerald, 2018-07-02)
      Purpose – Supplier selection for capital procurement is a major strategic decision for any automobile company. The decision determines the success of the company and must be taken systematically with the utmost transparency. Therefore, the aim of this study is the construction of capital procurement decision making models to optimize supplier selection in the Indian automobile industry. Design/methodology/approach – To achieve the stated objective, a combined approach of fuzzy theory and AHP-DEMATEL is applied. Evaluation parameters are identified through an extensive literature review and criteria validation has been introduced through a Fuzzy Delphi method by using fuzzy linguistic scales to handle the vagueness of information. AHP is employed to find the priority weight of criteria although an inter-relationship map among criteria is not possible through AHP alone since it considers all criteria as independent. To overcome this, DEMATEL is used to establish cause-effect relationships among criteria. Findings – The results show that the total cost of ownership is the first weighted criterion in supplier selection for capital procurement, followed by manufacturing flexibility and maintainability, then conformity with requirement. The cause-effect model shows that supplier profile, total cost of ownership, service support and conformity with requirement are in the cause group and are considered to be the most critical factors in selecting the supplier. Originality/value – The study’s outcome can help the automobile industry to optimize their selection process in selecting their suppliers for capital procurement; the proposed model can provide guidelines and direction in this regard.