• Causal modelling and analysis evaluation of online reputation management using Fuzzy Delphi and DEMATEL

      Kumar, Anil; Dash, Manoj Kumar; BML Munjal University; Indian Institute of Information Technology and Management, Gwalior; School of Management, BML Munjal University, Gurgaon, India; Behavioural Economics Experiments and Analytics Laboratory, Indian Institute of Information Technology and Management, Gwalior, India (IGI Global, 2017-01)
      Online reputation management (ORM) is a significant and proactive tool that can reinforce the credibility of the service provider. Literature existing today on this topic has rarely reported on the causal modeling analysis from an ORM perspective. Therefore, the objective of this paper is to build a factor structure of ORM and to build the inter-relationship map amongst the criteria of each factor. To allow for vague human judgment, a fuzzy concept is employed in a form of Fuzzy Delphi. The DEMATEL technique has been used to develop a Network Relationship Map (NRM) among the criteria of each factor. Data has been gathered through a structured questionnaire conducted with a survey of experts. The study divided the criteria of each factor into cause-effect criteria. Findings of the study show that criteria such as distributed reputation system, trust, online competitive branding, website management, customer relationship, search engine optimization, corporate social responsibility, users' reach, competition/page views, purchase discounted products and cash back or money back fall under the cause group of ORM's factors. The results of this study can not only help service providers to enhance their reputation but can also guide them towards targeting their customers in an online platform.
    • Challenges in the Implementation of Lean Manufacturing in the Wood & Furniture Industry

      Abu, F; Saman, M.Z.M; Garza-Reyes, Jose Arturo; Gholami, H; Zakuan, N; Universiti Teknologi Malaysia, Skudai, Malaysia; University of Derby (Emerald, 2021-08-03)
      This study analyses the challenges in implementing lean manufacturing (LM) in the wood & furniture industry. In order to facilitate the smooth implementation of LM practices in this industry, the challenges in terms of its deployment need to be analysed and observed. Realising this importance, this study proposes a model, using PLS-SEM, which focuses on dealing with the challenges faced in the implementation of lean in the wood & furniture industry. The model consists of ten challenges that were determined based on a survey involving 46 SMEs companies in Malaysia. The findings revealed that the implementation of LM is significantly affected by 3 main issues, namely: knowledge, resources, and, culture and human attitude. Furthermore, the analyses also highlighted four dominant challenges which are related to culture and human attitude issues – lack of employee commitment, lack of senior management’s interest and support, difficult to implement, and LM is viewed as “current trend”. Overall, the ability to deal with the challenges involving factors of knowledge, and culture and human attitude, determine the success of LM implementation, especially in companies that have limited resources. This study would help wood & furniture SMEs, government agencies, professional bodies, and academics to better understand the challenges when implementing LM practices. Overall, this study aims at investigating the relationships between the three challenges to better promote LM in the scope under study. Therefore, several activities were proposed to overcome the abovementioned challenges and subsequently contributing to the current body of knowledge.
    • 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.
    • 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.
    • Circular economy in the manufacturing sector: benefits, opportunities and barriers

      Kumar, V.; Sezersan, I.; Garza-Reyes, J.; Gonzalez, E.; AL-Shboul, M.; University of Derby (Emerald., 2019-04-18)
      In recent years, Circular Economy (CE) has come to prominence as an alternative to the classic approach of “make-use-dispose”. How companies can exploit the opportunities of CE to position themselves better are not well articulated in literature. This paper therefore aims to identify the barriers and opportunities of CE in the manufacturing sector through a socio-political, economic, legal and environmental perspective. The study adopts a positivist approach, which is deductive in nature. A survey questionnaire was designed and distributed to manufacturing companies operating in the UK and EU. The study used FAME database and social networking platform LinkedIn to identify manufacturing companies. More than 200+ companies were approached for this study and data collection lasted over two months. The study provides a comprehensive review of the CE literature and identifies a number of barriers and opportunities to CE implementation from socio-political, economic, legal and environmental perspective. The findings highlight key barriers, opportunities and benefits of CE for the manufacturing industries operating in the UK and EU. The findings are limited to 63 responses from the survey questionnaire distributed to manufacturing companies in the UK and EU. The present study aims to equip manufacturers with necessary understanding of the key opportunities and barriers to address the challenges encountered during the implementation of CE. This study adds to the limited empirical literature on CE barriers and opportunities to manufacturing organisations operating in the UK and EU. The paper also identifies barriers and opportunities of CE from socio-political, economic, legal and environmental lens.
    • Circular economy: a conceptual model to measure readiness for manufacturing SMEs

      Thorley, J; Garza-Reyes, Jose Arturo; Anosike, A; University of Derby (Emerald, 2021-08-26)
      Over the last decade, circular economy (CE) has gathered interest from both industrialists and academics alike. Whilst CE research is widespread in such areas as supply chain and larger organisations, there is limited research into how small to medium enterprises (SMEs) can prepare for adopting CE. There is no comprehensive readiness model for SMEs adopting CE. The purpose of this paper is to explore the literature on change readiness and generate knowledge to fill this gap by developing a conceptual model to measure change readiness for SMEs' adopting CE. This study is based on a comprehensive literature review of change readiness models and frameworks. The paper reviews publications from Science Direct, Web of Science, Emerald, Scopus and Google Scholar. The readiness for change models and frameworks from the selected publications are evaluated and synthesised to develop a comprehensive conceptual model for change readiness for SMEs adopting a circular economy. A readiness conceptual model is developed by incorporating several factors as precursors to readiness, i.e. individual/collective difference, structural, contextual factors and related barriers. Eleven factors make up the individual/collective difference. Three factors make up the structural and contextual factors. This paper develops a conceptual model that can aid academics and practitioners in better understanding SMEs readiness to adopt CE. This paper makes a unique contribution by proposing a comprehensive conceptual model of readiness for SMEs adopting CE.
    • Circular Economy: Exploratory Study of Steel Industry in Thailand

      Piyathanavong, Vichathorn; Garza-Reyes, Jose Arturo; Huynh, Van-Nam; Olapiriyakul, Sun; Karnjana, Jessada; University of Derby (IEOM Society, 2021-06)
      The Circular Economy (CE) is widely known as a possible solution to address sustainable development in the manufacturing sector. This paper investigates the adoption status of CE in the steel industry of Thailand. A survey questionnaire was designed, validated, and distributed among Thai steel manufacturing companies. The result of the study indicates that some of the participants’ organization had already implemented the CE. The implementation success of CE is moderate-high. The CE is found to be implemented mainly at the departmental level, rather than across the entire organization. The main drivers of CE implementation are internal motivations, including environmental awareness, long-term sustainable development, and cost savings from material circularity. Furthermore, reducing the environmental impact on external stakeholders is the main CE external driver. A lack of proper training and knowledge, too much effort required, and a lack of support from top management are the main barriers to implementing the CE. This study offers direct benefits for academics, researchers, and steel manufacturing companies who are interested in CE implementation. It also shows the initial evidence of CE adoption in the Thai steel manufacturing industry.
    • 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.
    • Coalescing the lean and circular economy

      Nadeem, S.P.; University of Derby (IEOM Society, 2019-03)
      Growing population along with technological advancement to pace the production speed like never before has raised alarming concerns and attracted attention globally. Circular Economy, a fairly new concept has emerged to address such issues by proposing closed loop system in contrast to linear system. While the concept of Circular Economy presents a great potential, there yet remain the challenge for its adaptation in the existing manufacturing sector, especially at SMEs level. Many new techniques, methods and models are being developed, many of which require a complete change in the existing system, which not only have capital requirements but also upskilling labour. For SMEs it is challenging to have such transition due to higher capital and skills requirements. This research explores the possibility to combine the existing concept of Lean with Circular Economy for speedy and easy adaptation of Circular Economy principles within manufacturing sector, especially at SMEs level. A novel conceptually developed framework is proposed to merge the vitality of Lean and Circular Economy.
    • Combined artificial bee colony algorithm and machine learning techniques for prediction of online consumer repurchase intention

      Kumar, Anil; Kabra, Gaurav; Mussada, Eswara Krishna; Dash, Manoj Kumar; Rana, Prashant Singh; Xavier Institute of Management, Bhubaneswar, India; BML Munjal University; Indian Institute of Information Technology & Management, Gwalior (Madhya Pradesh), India; Thapar University Patiala, Punjab, India (Springer, 2017-05-30)
      A novel paradigm in the service sector i.e. services through the web is a progressive mechanism for rendering offerings over diverse environments. Internet provides huge opportunities for companies to provide personalized online services to their customers. But prompt novel web services introduction may unfavorably affect the quality and user gratification. Subsequently, prediction of the consumer intention is of supreme importance in selecting the web services for an application. The aim of study is to predict online consumer repurchase intention and to achieve this objective a hybrid approach which a combination of machine learning techniques and Artificial Bee Colony (ABC) algorithm has been used. The study is divided into three phases. Initially, shopping mall and consumer characteristic’s for repurchase intention has been identified through extensive literature review. Secondly, ABC has been used to determine the feature selection of consumers’ characteristics and shopping malls’ attributes (with > 0.1 threshold value) for the prediction model. Finally, validation using K-fold cross has been employed to measure the best classification model robustness. The classification models viz., Decision Trees (C5.0), AdaBoost, Random Forest (RF), Support Vector Machine (SVM) and Neural Network (NN), are utilized for prediction of consumer purchase intention. Performance evaluation of identified models on training-testing partitions (70-30%) of the data set, shows that AdaBoost method outperforms other classification models with sensitivity and accuracy of 0.95 and 97.58% respectively, on testing data set. This study is a revolutionary attempt that considers both, shopping mall and consumer characteristics in examine the consumer purchase intention.
    • A conceptual framework for the implementation of quality management systems

      Garza-Reyes, Jose Arturo; Rocha-Lona, Luis; Kumar, Vikas; University of Derby (Taylor and Francis, 2014-06-25)
      Some evidence suggests that Quality Management Systems (QMSs) make a positive contribution towards the competitiveness of organisations. However, evidence also suggests that organisations find their implementation difficult, and in many cases they are unsuccessful. This paper presents a conceptual framework that systematically guides organisations through a five-stage process to effectively implement and/or improve their QMSs and core business processes. The framework can be modified or amended to be adapted to the needs of specific industries and organisations. The paper discusses some of the main issues associated with the implementation of QMSs and summarises some of the frameworks and models that have been suggested for this purpose. Then, the paper explains, in detail, all the stages and activities of which the proposed conceptual framework consists. This paper's main contribution consists of the proposal of an alternative and novel approach for the implementation/improvement of QMS and business processes.
    • A conceptual framework for the implementation of sustainability business processes

      Gallotta, Bruno; Garza-Reyes, Jose Arturo; Anosike, Anthony; Lim, Ming K.; Roberts, Ian; The University of Derby (Production and Operations Management Society, 2016-05)
      This research aims to provide a complete solution to achieve true sustainability in business processes, evaluating all relevant aspects. This paper demonstrates a conceptual framework with a case study to simulate scenarios of potential applications, and discusses the simulation results of different aspects organisations struggle to succeed in the implementation.
    • 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; et al. (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.
    • Decision making for risk evaluation: integration of prospect theory with failure modes and effects analysis (FMEA)

      Sagnak, M; Kazancoglu, Y; Ozkan Ozen, Y.D; Garza-Reyes, J.A.; Izmir Katip Celebi University, Izmir, Turkey; Yasar University, Izmir, Turkey; University of Derby (Emerald, 2020-08-22)
      The aim of the present study is to overcome some of the limitations of the FMEA method by presenting a theoretical base for considering risk evaluation into its assessment methodology and proposing an approach for its implementation. Fuzzy AHP is used to calculate the weights of the likelihood of occurrence (O), severity (S) and difficulty of detection (D). Additionally, the Prospect Theory-based TODIM method was integrated with fuzzy logic. Thus, fuzzy TODIM was employed to calculate the ranking of potential failure modes according to their RPNs. In order to verify the results of the study, in-depth interviews were conducted with the participation of industry experts. The results are very much in line with Prospect Theory. Therefore, practitioners may apply the proposed method to FMEA. The most crucial failure mode for a firm’s attention is furnace failure followed by generator failure, crane failure, tank failure, kettle failure, dryer failure, and operator failure, respectively. The originality of this paper consists in integrating Prospect Theory with the FMEA method in order to overcome the limitations naturally inherent in the calculation of the FMEA’s Risk Priority Numbers (RPNs).
    • Decision modeling for evaluating risks in pharmaceutical supply chains

      Moktadir, M. A.; Ali, S; Kumar Mangla, S; Sharmy, T; Luthra, S; Mishra, N; Garza-Reyes, Jose Arturo (Emerald, 2018-01)
      Purpose - Managing risks is becoming a highly focused activity in the health service sector. In particular, due to the complex nature of processes in the pharmaceutical industry, several risks have been associated to its supply chains. This paper therefore aims at identifying and analyzing the risks occurring in the supply chains of the pharmaceutical industry and proposing a decision model, based on the Analytical Hierarchy Process (AHP) method, for evaluating risks in pharmaceutical supply chains. Design/methodology/approach – The proposed model was developed based on the Delphi method and AHP techniques. The Delphi method helped to select the relevant risks associated to pharmaceutical supply chains. Sixteen sub-risks within four main risks were identified through an extensive review of the literature and by conducting a further investigation with experts from five pharmaceutical companies in Bangladesh. AHP contributed to the analysis of the risks and determination of their priorities. Findings – The results of the study indicated that supply related risks such as fluctuation in imports arrival, lack of information sharing, key supplier failure and non-availability of materials should be prioritised over operational, financial and demand related risks. Originality/value – This work is one of the initial contributions in the literature that focused on identifying and evaluating PSC risks in the context of Bangladesh. This research work can assist practitioners and industrial managers in the pharmaceutical industry in taking proactive action to minimize its supply chain risks. To the end, we performed a sensitivity analysis test, which gives an understanding of the stability of ranking of risks.
    • Decision policy scenarios for just-in-sequence deliveries: A supply chain fluidity approach

      Cedillo-Campos, Miguel Gaston; Morones Ruelas, Dario; Lizarraga-Lizarraga, Giovanni; Garza-Reyes, Jose Arturo; Mexican Institute of Transportation; CEVA Logistics; Universidad Autónoma de Nuevo León; Ecole des Mines de Saint-Étienne; University of Derby (OmniaScience, 2018)
      Purpose: The Just-in-Sequence (JIS) approach is evidencing advantages when controlling costs due to product variety management, and reducing the risk of disruption in sourcing, manufacturing companies and third-party logistics (3PL). This has increased its implementation in the manufacturing industry, especially in highly customized sectors such as the automotive industry. However, despite the growing interest from manufacturers, scholarly research focused on JIS still remains limited. In this context, little has been done to study the effect of JIS on the fluidity of supply chains and processes of logistics suppliers as well as providing them with a decision making tool to optimise the sequencing of their deliveries. Therefore, the aim of this paper is to propose a genetic algorithm to evaluate different decision policy scenarios to reduce risks of supply disruptions at assembly line of finished goods. Consequently, the proposed algorithm considers a periodic review of the inventory that assumes a steady demand and short response times is developed and applied. Design/methodology/approach: Based on a literature review and real-life information, an abductive reasoning was performed and a case study application of the proposed genetic algorithm conducted in the automotive industry. Findings: The results obtained from the case study indicate that the proposed genetic algorithm offers a reliable solution when facing variability in safety stocks that operate under assumptions such as: i) fixed costs; ii) high inventory turnover; iii) scarce previous information concerning material requirements; and iv) replenishment services as core business value. Although the results are based on an automotive industry case study, they are equally applicable to other assembly supply chains. Originality/value: This paper is of interest to practitioners and academicians alike as it complements and supports the very limited scholarly research on JIS by providing manufacturers and 3PL suppliers competing in mass customized industries and markets, a decision support system to help decision making. Implications for the design of modern assembly supply chains are also exposed and future research streams presented.
    • A decision-support framework for lean, agile and green practices in product life cycle stages

      Udokporo, Chinonso; Anosike, Anthony; Lim, Ming; University of Derby; Coventry University (Taylor & Francis, 2020-05-19)
      Improving operations performance is often achieved through the application of practices such as Lean, Agility and Green (LAG) practices. However, the wide choice of LAG practices available to address customer requirements can be challenging for those with limited knowledge of LAG practices and their efficacy. Therefore, this research provides a framework for selecting appropriate LAG practices that considers product life cycle (PLC) stages for more effective application of practices. The framework was developed following thorough literature review to capture LAG practices. These form the basis for decision making tools incorporated within the framework including an analytic hierarchy process (AHP), statistical inference and regression analysis, ensuring a systematic approach to the analysis and decision support. The framework was verified and validated through a Delphi study and case study respectively. This research makes a contribution to the body of knowledge by providing a framework which could serve as a guide for businesses in the fast moving consumer goods (FMCG) industry to systematically integrate and adopt LAG to better manage their processes and meet customer requirements.
    • Deploying Kaizen events in the manufacturing industry: An investigation into managerial factors

      Garza-Reyes, J.A., Christopoulos, C., Kumar, A., Luthra, S., Gonzalez Aleu, F., Kumar, V., Villarreal, B.; University of Derby; University of Warwick; London Metropolitan University; Ranbir State Institute of Engineering & Technology, India; Universidad de Monterrey, Mexico (Taylor & Francis, 2020-09-24)
      Despite the extensive research on Continuous Improvement (CI), limited reflection has been reported regarding the managerial factors needed to successfully deploy Kaizen Events (KEs). This study investigates various managerial aspects that affect the implementation of KEs. After conducting a literature review and gathering experts’ inputs, the objectives of the study and six research questions were formulated. A survey questionnaire responded by 175 manufacturing organisations was designed and validated. A combined approach of descriptive statistics and one-way ANOVA tests were used to analyse the collected data. Besides other ‘soft’ aspects, the results determine: (1) the drivers and barriers in the pre-implementation stage of KEs; (2) the critical success factors and challenges related to the implementation stage of KEs; (3) the reasons that result in unsuccessful KEs; and (4) the reasons that stop organisations from running KEs. The study provides insights into an under-researched topic by looking at different phases of KEs implementation. The study contributes to the contingency and the RBV theories by offering an understanding of the importance of different contingencies and resources planning for KEs implementation. The findings are beneficial for industrialists who may aim at driving CIs in their organisations through the implementation of KEs.
    • Design for environment Ontology-based knowledge management model for green product development

      Benabdellah, A.C; Zekhnini, K; Cherrafi, A.; Garza‐Reyes, J.A; Kumar, A; Moulay Ismail University, Meknes, Morocco; University of Derby; London Metropolitan University (Wiley, 2021-06-30)
      Through appropriate operations and policies, such as green processes and product development (PDP), companies can respond to environmental sustainability. To remain competitive, one such approach, Design for X (DFX), involves considering different environment and sustainable strategies through different factors Xs. With regards to the availability of different DFX techniques that consider environmental issues, the decision as to which approach needs to be adopted remains absent. This paper aims at presenting an overview from 1980 to 2020 of the developed research, applications, and DFX techniques for assessing green issues. Selected DFX techniques are linked with strategies used in organizations. Following a literature analysis, a collaborative knowledge-based framework that addresses the design concepts needed to assess environmental, safety, and health concerns in the development of green products is proposed. Furthermore, as a pillar for considering the Semantic Web and an evolving approach linked with Natural language processing (NLP) and Artificial Intelligence (AI), an ontology-based knowledge management model for green assessment is developed for the representation, acquisition, organization and capitalization of knowledge in a computer interpretable manner. The findings are useful for both managers and practitioners as they provide a coherent domain ontology that can help them manage knowledge, improve teamwork, and make decisions in a collaborative green PDP. Besides, an understanding of the essential design considerations that are required to implement environmental, safety, and health issues, as well as competencies used in the PDP is presented. Key barriers, managerial and strategic implications and mitigation actions are also identified in this paper.
    • Developing a strategic sustainable facility plan for a hospital layout using ELECTRE and Apples procedure

      Vimal, K.E.K; Kandasamy, Jayakrishna; Nadeem, Simon Peter; Kumar, Anil; Šaparauskas, Jonas; Garza-Reyes, Jose Arturo; Trinkūnienė, Eva; National Institute of Technology, Patna, Bihar, India; VIT University, Vellore, Tamil Nadu, India; London Metropolitan University; et al. (Vilnius Gediminas Technical University (VGTU) Press, Lithuania, 2020-11-23)
      Today healthcare globally is growing at a rapid pace and despite the huge technological advancement, healthcare still faces primitive challenges and hence results in the poor service and facility to the needy. Layout planning acts as one major reason which requires improvements for the effective and efficient working of the healthcare facilities. This research aims at optimizing several quantitative criteria related to economic, technology and society which are taken into consideration for the decision-making during the evaluation, analysing and selection of the best layout for an existing healthcare facility. Critical areas for the improvement were found out using statistical analysis based on a survey questionnaire and Apple’s layout procedure is utilised to design the different possible layouts for an efficient facility. The seven criteria namely inter-departmental satisfactory level, the average distance travelled and the average time required for staff flow, the average distance travelled and the average time required for patient flow, the average distance travelled and the average time required for material flow were taken into consideration. The ELECTRE methodology was used as multi-criteria decision making based on decided seven criteria for comparing the different layout by methodical and orderly thinking.